Complementary approaches to diagnosing marine diseases: a union of the modern and the classic

PubMed Central

Burge, Colleen A.; Friedman, Carolyn S.; Getchell, Rodman; House, Marcia; Mydlarz, Laura D.; Prager, Katherine C.; Renault, Tristan; Kiryu, Ikunari; Vega-Thurber, Rebecca

2016-01-01

Linking marine epizootics to a specific aetiology is notoriously difficult. Recent diagnostic successes show that marine disease diagnosis requires both modern, cutting-edge technology (e.g. metagenomics, quantitative real-time PCR) and more classic methods (e.g. transect surveys, histopathology and cell culture). Here, we discuss how this combination of traditional and modern approaches is necessary for rapid and accurate identification of marine diseases, and emphasize how sole reliance on any one technology or technique may lead disease investigations astray. We present diagnostic approaches at different scales, from the macro (environment, community, population and organismal scales) to the micro (tissue, organ, cell and genomic scales). We use disease case studies from a broad range of taxa to illustrate diagnostic successes from combining traditional and modern diagnostic methods. Finally, we recognize the need for increased capacity of centralized databases, networks, data repositories and contingency plans for diagnosis and management of marine disease. PMID:26880839

Complementary approaches to diagnosing marine diseases: a union of the modern and the classic

USGS Publications Warehouse

Burge, Colleen A.; Friedman, Carolyn S.; Getchell, Rodman G.; House, Marcia; Lafferty, Kevin D.; Mydlarz, Laura D.; Prager, Katherine C.; Sutherland, Kathryn P.; Renault, Tristan; Kiryu, Ikunari; Vega-Thurber, Rebecca

2016-01-01

Linking marine epizootics to a specific aetiology is notoriously difficult. Recent diagnostic successes show that marine disease diagnosis requires both modern, cutting-edge technology (e.g. metagenomics, quantitative real-time PCR) and more classic methods (e.g. transect surveys, histopathology and cell culture). Here, we discuss how this combination of traditional and modern approaches is necessary for rapid and accurate identification of marine diseases, and emphasize how sole reliance on any one technology or technique may lead disease investigations astray. We present diagnostic approaches at different scales, from the macro (environment, community, population and organismal scales) to the micro (tissue, organ, cell and genomic scales). We use disease case studies from a broad range of taxa to illustrate diagnostic successes from combining traditional and modern diagnostic methods. Finally, we recognize the need for increased capacity of centralized databases, networks, data repositories and contingency plans for diagnosis and management of marine disease.

Validity of cancer diagnosis in the National Health Insurance database compared with the linked National Cancer Registry in Taiwan.

PubMed

Kao, Wei-Heng; Hong, Ji-Hong; See, Lai-Chu; Yu, Huang-Ping; Hsu, Jun-Te; Chou, I-Jun; Chou, Wen-Chi; Chiou, Meng-Jiun; Wang, Chun-Chieh; Kuo, Chang-Fu

2017-08-16

We aimed to evaluate the validity of cancer diagnosis in the National Health Insurance (NHI) database, which has routinely collected the health information of almost the entire Taiwanese population since 1995, compared with the Taiwan National Cancer Registry (NCR). There were 26,542,445 active participants registered in the NHI database between 2001 and 2012. National Cancer Registry and NHI database records were compared for cancer diagnosis; date of cancer diagnosis; and 1, 2, and 5 year survival. In addition, the 10 leading causes of cancer deaths in Taiwan were analyzed. There were 908,986 cancer diagnoses in NCR and NHI database and 782,775 (86.1%) in both, with 53,192 (5.9%) in the NHI database only and 73,019 (8.0%) in the NCR only. The positive predictive value of the NHI database cancer diagnoses was 94% for all cancers; the positive predictive value of the 10 specific cancers ranged from 95% (lung cancer) to 82% (cervical cancer). The date of diagnosis in the NHI database was generally delayed by a median of 15 days (interquartile range 8-18) compared with the NCR. The 1, 2, and 5 year survival rates were 71.21%, 60.85%, and 47.44% using the NHI database and were 71.18%, 60.17%, and 46.09% using NCR data. Recording of cancer diagnoses and survival estimates based on these diagnosis codes in the NHI database are generally consistent with the NCR. Studies using NHI database data must pay careful attention to eligibility and record linkage; use of both sources is recommended. Copyright © 2017 John Wiley & Sons, Ltd.

Point-of-care testing in the diagnosis of gastrointestinal cancers: Current technology and future directions

PubMed Central

Huddy, Jeremy R; Ni, Melody Z; Markar, Sheraz R; Hanna, George B

2015-01-01

Point-of-care (POC) tests enable rapid results and are well established in medical practice. Recent advances in analytical techniques have led to a new generation of POC devices that will alter gastrointestinal diagnostic pathways. This review aims to identify current and new technologies for the POC diagnosis of gastrointestinal cancer. A structured search of the Embase and Medline databases was performed. Papers reporting diagnostic tests for gastrointestinal cancer available as a POC device or containing a description of feasibility for POC application were included. Studies recovered were heterogeneous and therefore results are presented as a narrative review. Six diagnostic methods were identified (fecal occult blood, fecal proteins, volatile organic compounds, pyruvate kinase isoenzyme type M2, tumour markers and DNA analysis). Fecal occult blood testing has a reported sensitivity of 66%-85% and specificity greater than 95%. The others are at a range of development and clinical application. POC devices have a proven role in the diagnosis of gastrointestinal cancer. Barriers to their implementation exist and the transition from experimental to clinical medicine is currently slow. New technologies demonstrate potential to provide accurate POC tests and an ability to diagnose gastrointestinal cancer at an early stage with improved clinical outcome and survival. PMID:25892860

Point-of-care testing in the diagnosis of gastrointestinal cancers: current technology and future directions.

PubMed

Huddy, Jeremy R; Ni, Melody Z; Markar, Sheraz R; Hanna, George B

2015-04-14

Point-of-care (POC) tests enable rapid results and are well established in medical practice. Recent advances in analytical techniques have led to a new generation of POC devices that will alter gastrointestinal diagnostic pathways. This review aims to identify current and new technologies for the POC diagnosis of gastrointestinal cancer. A structured search of the Embase and Medline databases was performed. Papers reporting diagnostic tests for gastrointestinal cancer available as a POC device or containing a description of feasibility for POC application were included. Studies recovered were heterogeneous and therefore results are presented as a narrative review. Six diagnostic methods were identified (fecal occult blood, fecal proteins, volatile organic compounds, pyruvate kinase isoenzyme type M2, tumour markers and DNA analysis). Fecal occult blood testing has a reported sensitivity of 66%-85% and specificity greater than 95%. The others are at a range of development and clinical application. POC devices have a proven role in the diagnosis of gastrointestinal cancer. Barriers to their implementation exist and the transition from experimental to clinical medicine is currently slow. New technologies demonstrate potential to provide accurate POC tests and an ability to diagnose gastrointestinal cancer at an early stage with improved clinical outcome and survival.

Identifying Psoriasis and Psoriatic Arthritis Patients in Retrospective Databases When Diagnosis Codes Are Not Available: A Validation Study Comparing Medication/Prescriber Visit-Based Algorithms with Diagnosis Codes.

PubMed

Dobson-Belaire, Wendy; Goodfield, Jason; Borrelli, Richard; Liu, Fei Fei; Khan, Zeba M

2018-01-01

Using diagnosis code-based algorithms is the primary method of identifying patient cohorts for retrospective studies; nevertheless, many databases lack reliable diagnosis code information. To develop precise algorithms based on medication claims/prescriber visits (MCs/PVs) to identify psoriasis (PsO) patients and psoriatic patients with arthritic conditions (PsO-AC), a proxy for psoriatic arthritis, in Canadian databases lacking diagnosis codes. Algorithms were developed using medications with narrow indication profiles in combination with prescriber specialty to define PsO and PsO-AC. For a 3-year study period from July 1, 2009, algorithms were validated using the PharMetrics Plus database, which contains both adjudicated medication claims and diagnosis codes. Positive predictive value (PPV), negative predictive value (NPV), sensitivity, and specificity of the developed algorithms were assessed using diagnosis code as the reference standard. Chosen algorithms were then applied to Canadian drug databases to profile the algorithm-identified PsO and PsO-AC cohorts. In the selected database, 183,328 patients were identified for validation. The highest PPVs for PsO (85%) and PsO-AC (65%) occurred when a predictive algorithm of two or more MCs/PVs was compared with the reference standard of one or more diagnosis codes. NPV and specificity were high (99%-100%), whereas sensitivity was low (≤30%). Reducing the number of MCs/PVs or increasing diagnosis claims decreased the algorithms' PPVs. We have developed an MC/PV-based algorithm to identify PsO patients with a high degree of accuracy, but accuracy for PsO-AC requires further investigation. Such methods allow researchers to conduct retrospective studies in databases in which diagnosis codes are absent. Copyright © 2018 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

Cloud-Based NoSQL Open Database of Pulmonary Nodules for Computer-Aided Lung Cancer Diagnosis and Reproducible Research.

PubMed

Ferreira Junior, José Raniery; Oliveira, Marcelo Costa; de Azevedo-Marques, Paulo Mazzoncini

2016-12-01

Lung cancer is the leading cause of cancer-related deaths in the world, and its main manifestation is pulmonary nodules. Detection and classification of pulmonary nodules are challenging tasks that must be done by qualified specialists, but image interpretation errors make those tasks difficult. In order to aid radiologists on those hard tasks, it is important to integrate the computer-based tools with the lesion detection, pathology diagnosis, and image interpretation processes. However, computer-aided diagnosis research faces the problem of not having enough shared medical reference data for the development, testing, and evaluation of computational methods for diagnosis. In order to minimize this problem, this paper presents a public nonrelational document-oriented cloud-based database of pulmonary nodules characterized by 3D texture attributes, identified by experienced radiologists and classified in nine different subjective characteristics by the same specialists. Our goal with the development of this database is to improve computer-aided lung cancer diagnosis and pulmonary nodule detection and classification research through the deployment of this database in a cloud Database as a Service framework. Pulmonary nodule data was provided by the Lung Image Database Consortium and Image Database Resource Initiative (LIDC-IDRI), image descriptors were acquired by a volumetric texture analysis, and database schema was developed using a document-oriented Not only Structured Query Language (NoSQL) approach. The proposed database is now with 379 exams, 838 nodules, and 8237 images, 4029 of them are CT scans and 4208 manually segmented nodules, and it is allocated in a MongoDB instance on a cloud infrastructure.

Study on a Real-Time BEAM System for Diagnosis Assistance Based on a System on Chips Design

PubMed Central

Sung, Wen-Tsai; Chen, Jui-Ho; Chang, Kung-Wei

2013-01-01

As an innovative as well as an interdisciplinary research project, this study performed an analysis of brain signals so as to establish BrainIC as an auxiliary tool for physician diagnosis. Cognition behavior sciences, embedded technology, system on chips (SOC) design and physiological signal processing are integrated in this work. Moreover, a chip is built for real-time electroencephalography (EEG) processing purposes and a Brain Electrical Activity Mapping (BEAM) system, and a knowledge database is constructed to diagnose psychosis and body challenges in learning various behaviors and signals antithesis by a fuzzy inference engine. This work is completed with a medical support system developed for the mentally disabled or the elderly abled. PMID:23681095

[Advances in the research of application of artificial intelligence in burn field].

PubMed

Li, H H; Bao, Z X; Liu, X B; Zhu, S H

2018-04-20

Artificial intelligence has been able to automatically learn and judge large-scale data to some extent. Based on database of a large amount of burn data and in-depth learning, artificial intelligence can assist burn surgeons to evaluate burn surface, diagnose burn depth, guide fluid supply during shock stage, and predict prognosis, with high accuracy. With the development of technology, artificial intelligence can provide more accurate information for burn surgeons to make clinical diagnosis and treatment strategies.

Technological Innovations from NASA

NASA Technical Reports Server (NTRS)

Pellis, Neal R.

2006-01-01

The challenge of human space exploration places demands on technology that push concepts and development to the leading edge. In biotechnology and biomedical equipment development, NASA science has been the seed for numerous innovations, many of which are in the commercial arena. The biotechnology effort has led to rational drug design, analytical equipment, and cell culture and tissue engineering strategies. Biomedical research and development has resulted in medical devices that enable diagnosis and treatment advances. NASA Biomedical developments are exemplified in the new laser light scattering analysis for cataracts, the axial flow left ventricular-assist device, non contact electrocardiography, and the guidance system for LASIK surgery. Many more developments are in progress. NASA will continue to advance technologies, incorporating new approaches from basic and applied research, nanotechnology, computational modeling, and database analyses.

[Computer-aided Diagnosis and New Electronic Stethoscope].

PubMed

Huang, Mei; Liu, Hongying; Pi, Xitian; Ao, Yilu; Wang, Zi

2017-05-30

Auscultation is an important method in early-diagnosis of cardiovascular disease and respiratory system disease. This paper presents a computer-aided diagnosis of new electronic auscultation system. It has developed an electronic stethoscope based on condenser microphone and the relevant intelligent analysis software. It has implemented many functions that combined with Bluetooth, OLED, SD card storage technologies, such as real-time heart and lung sounds auscultation in three modes, recording and playback, auscultation volume control, wireless transmission. The intelligent analysis software based on PC computer utilizes C# programming language and adopts SQL Server as the background database. It has realized play and waveform display of the auscultation sound. By calculating the heart rate, extracting the characteristic parameters of T1, T2, T12, T11, it can analyze whether the heart sound is normal, and then generate diagnosis report. Finally the auscultation sound and diagnosis report can be sent to mailbox of other doctors, which can carry out remote diagnosis. The whole system has features of fully function, high portability, good user experience, and it is beneficial to promote the use of electronic stethoscope in the hospital, at the same time, the system can also be applied to auscultate teaching and other occasions.

[Medical imaging in tumor precision medicine: opportunities and challenges].

PubMed

Xu, Jingjing; Tan, Yanbin; Zhang, Minming

2017-05-25

Tumor precision medicine is an emerging approach for tumor diagnosis, treatment and prevention, which takes account of individual variability of environment, lifestyle and genetic information. Tumor precision medicine is built up on the medical imaging innovations developed during the past decades, including the new hardware, new imaging agents, standardized protocols, image analysis and multimodal imaging fusion technology. Also the development of automated and reproducible analysis algorithm has extracted large amount of information from image-based features. With the continuous development and mining of tumor clinical and imaging databases, the radiogenomics, radiomics and artificial intelligence have been flourishing. Therefore, these new technological advances bring new opportunities and challenges to the application of imaging in tumor precision medicine.

Computer-assisted abdominal surgery: new technologies.

PubMed

Kenngott, H G; Wagner, M; Nickel, F; Wekerle, A L; Preukschas, A; Apitz, M; Schulte, T; Rempel, R; Mietkowski, P; Wagner, F; Termer, A; Müller-Stich, Beat P

2015-04-01

Computer-assisted surgery is a wide field of technologies with the potential to enable the surgeon to improve efficiency and efficacy of diagnosis, treatment, and clinical management. This review provides an overview of the most important new technologies and their applications. A MEDLINE database search was performed revealing a total of 1702 references. All references were considered for information on six main topics, namely image guidance and navigation, robot-assisted surgery, human-machine interface, surgical processes and clinical pathways, computer-assisted surgical training, and clinical decision support. Further references were obtained through cross-referencing the bibliography cited in each work. Based on their respective field of expertise, the authors chose 64 publications relevant for the purpose of this review. Computer-assisted systems are increasingly used not only in experimental studies but also in clinical studies. Although computer-assisted abdominal surgery is still in its infancy, the number of studies is constantly increasing, and clinical studies start showing the benefits of computers used not only as tools of documentation and accounting but also for directly assisting surgeons during diagnosis and treatment of patients. Further developments in the field of clinical decision support even have the potential of causing a paradigm shift in how patients are diagnosed and treated.

The European Classical Swine Fever Virus Database: Blueprint for a Pathogen-Specific Sequence Database with Integrated Sequence Analysis Tools

PubMed Central

Postel, Alexander; Schmeiser, Stefanie; Zimmermann, Bernd; Becher, Paul

2016-01-01

Molecular epidemiology has become an indispensable tool in the diagnosis of diseases and in tracing the infection routes of pathogens. Due to advances in conventional sequencing and the development of high throughput technologies, the field of sequence determination is in the process of being revolutionized. Platforms for sharing sequence information and providing standardized tools for phylogenetic analyses are becoming increasingly important. The database (DB) of the European Union (EU) and World Organisation for Animal Health (OIE) Reference Laboratory for classical swine fever offers one of the world’s largest semi-public virus-specific sequence collections combined with a module for phylogenetic analysis. The classical swine fever (CSF) DB (CSF-DB) became a valuable tool for supporting diagnosis and epidemiological investigations of this highly contagious disease in pigs with high socio-economic impacts worldwide. The DB has been re-designed and now allows for the storage and analysis of traditionally used, well established genomic regions and of larger genomic regions including complete viral genomes. We present an application example for the analysis of highly similar viral sequences obtained in an endemic disease situation and introduce the new geographic “CSF Maps” tool. The concept of this standardized and easy-to-use DB with an integrated genetic typing module is suited to serve as a blueprint for similar platforms for other human or animal viruses. PMID:27827988

Metabolomics: building on a century of biochemistry to guide human health

PubMed Central

German, J. Bruce; Hammock, Bruce D.; Watkins, Steven M.

2006-01-01

Medical diagnosis and treatment efficacy will improve significantly when a more personalized system for health assessment is implemented. This system will require diagnostics that provide sufficiently detailed information about the metabolic status of individuals such that assay results will be able to guide food, drug and lifestyle choices to maintain or improve distinct aspects of health without compromising others. Achieving this goal will use the new science of metabolomics – comprehensive metabolic profiling of individuals linked to the biological understanding of human integrative metabolism. Candidate technologies to accomplish this goal are largely available, yet they have not been brought into practice for this purpose. Metabolomic technologies must be sufficiently rapid, accurate and affordable to be routinely accessible to both healthy and acutely ill individuals. The use of metabolomic data to predict the health trajectories of individuals will require bioinformatic tools and quantitative reference databases. These databases containing metabolite profiles from the population must be built, stored and indexed according to metabolic and health status. Building and annotating these databases with the knowledge to predict how a specific metabolic pattern from an individual can be adjusted with diet, drugs and lifestyle to improve health represents a logical application of the biochemistry knowledge that the life sciences have produced over the past 100 years. PMID:16680201

A network of web multimedia medical information servers for a medical school and university hospital.

PubMed

Denier, P; Le Beux, P; Delamarre, D; Fresnel, A; Cleret, M; Courtin, C; Seka, L P; Pouliquen, B; Cleran, L; Riou, C; Burgun, A; Jarno, P; Leduff, F; Lesaux, H; Duvauferrier, R

1997-08-01

Modern medicine requires a rapid access to information including clinical data from medical records, bibliographic databases, knowledge bases and nomenclature databases. This is especially true for University Hospitals and Medical Schools for training as well as for fundamental and clinical research for diagnosis and therapeutic purposes. This implies the development of local, national and international cooperation which can be enhanced via the use and access to computer networks such as Internet. The development of professional cooperative networks goes with the development of the telecommunication and computer networks and our project is to make these new tools and technologies accessible to the medical students both during the teaching time in Medical School and during the training periods at the University Hospital. We have developed a local area network which communicates between the School of Medicine and the Hospital which takes advantage of the new Web client-server technology both internally (Intranet) and externally by access to the National Research Network (RENATER in France) connected to the Internet network. The address of our public web server is http:(/)/www.med.univ-rennesl.fr.

Artificial intelligence against breast cancer (A.N.N.E.S-B.C.-Project).

PubMed

Parmeggiani, Domenico; Avenia, Nicola; Sanguinetti, Alessandro; Ruggiero, Roberto; Docimo, Giovanni; Siciliano, Mattia; Ambrosino, Pasquale; Madonna, Imma; Peltrini, Roberto; Parmeggiani, Umberto

2012-01-01

Our preliminary study examined the development of an advanced innovative technology with the objectives of--developing methodologies and algorithms for a Artificial Neural Network (ANN) system, improving mammography and ultra-sonography images interpretation;--creating autonomous software as a diagnostic tool for the physicians, allowing the possibility for the advanced application of databases using Artificial Intelligence (Expert System). Since 2004 550 F patients over 40 yrs old were divided in two groups: 1) 310 pts underwent echo every 6 months and mammography every year by expert radiologists. 2) 240 pts had the same screening program and were also examined by our diagnosis software, developed with ANN-ES technology by the Engineering Aircraft Research Project team. The information was continually updated and returned to the Expert System, defining the principal rules of automatic diagnosis. In the second group we selected: Expert radiologist decision; ANN-ES decision; Expert radiologists with ANN-ES decision. The second group had significantly better diagnosis for cancer and better specificity for breast lesions risk as well as the highest percentage account when the radiologist's decision was helped by the ANN software. The ANN-ES group was able to select, by anamnestic, diagnostic and genetic means, 8 patients for prophylactic surgery, finding 4 cancers in a very early stage. Although it is only a preliminary study, this innovative diagnostic tool seems to provide better positive and negative predictive value in cancer diagnosis as well as in breast risk lesion identification.

Is home health technology adequate for proactive self-care?

PubMed

Horwitz, C M; Mueller, M; Wiley, D; Tentler, A; Bocko, M; Chen, L; Leibovici, A; Quinn, J; Shar, A; Pentland, A P

2008-01-01

To understand whether home health technology in the market and in development can satisfy the needs of patients and their non-professional caregivers for proactive support in managing health and chronic conditions in the home. A panel of clinical providers and technology researchers was assembled to examine whether home health technology addresses consumer-defined requirements for self-care devices. A lexicon of home care and self-care technology terms was then created. A global survey of home health technology for patients with heart disease and dementia was conducted. The 254 items identified were categorized by conditions treated, primary user, function, and purpose. A focus group of patients and caregivers was convened to describe their expectations of self-care technology. Items identified in the database were then assessed for these attributes. Patients and family caregivers indicated a need for intelligent self-care technology which supports early diagnosis of health changes, intervention enablement, and improvement of communication quality among patients and the health care system. Of these, only intervention enablement was commonly found in the home health technology items identified. An opportunity exists to meet consumer self-care needs through increased research and development in intelligent self-care technology.

The LISS--a public database of common imaging signs of lung diseases for computer-aided detection and diagnosis research and medical education.

PubMed

Han, Guanghui; Liu, Xiabi; Han, Feifei; Santika, I Nyoman Tenaya; Zhao, Yanfeng; Zhao, Xinming; Zhou, Chunwu

2015-02-01

Lung computed tomography (CT) imaging signs play important roles in the diagnosis of lung diseases. In this paper, we review the significance of CT imaging signs in disease diagnosis and determine the inclusion criterion of CT scans and CT imaging signs of our database. We develop the software of abnormal regions annotation and design the storage scheme of CT images and annotation data. Then, we present a publicly available database of lung CT imaging signs, called LISS for short, which contains 271 CT scans and 677 abnormal regions in them. The 677 abnormal regions are divided into nine categories of common CT imaging signs of lung disease (CISLs). The ground truth of these CISLs regions and the corresponding categories are provided. Furthermore, to make the database publicly available, all private data in CT scans are eliminated or replaced with provisioned values. The main characteristic of our LISS database is that it is developed from a new perspective of CT imaging signs of lung diseases instead of commonly considered lung nodules. Thus, it is promising to apply to computer-aided detection and diagnosis research and medical education.

Staged Inference using Conditional Deep Learning for energy efficient real-time smart diagnosis.

PubMed

Parsa, Maryam; Panda, Priyadarshini; Sen, Shreyas; Roy, Kaushik

2017-07-01

Recent progress in biosensor technology and wearable devices has created a formidable opportunity for remote healthcare monitoring systems as well as real-time diagnosis and disease prevention. The use of data mining techniques is indispensable for analysis of the large pool of data generated by the wearable devices. Deep learning is among the promising methods for analyzing such data for healthcare applications and disease diagnosis. However, the conventional deep neural networks are computationally intensive and it is impractical to use them in real-time diagnosis with low-powered on-body devices. We propose Staged Inference using Conditional Deep Learning (SICDL), as an energy efficient approach for creating healthcare monitoring systems. For smart diagnostics, we observe that all diagnoses are not equally challenging. The proposed approach thus decomposes the diagnoses into preliminary analysis (such as healthy vs unhealthy) and detailed analysis (such as identifying the specific type of cardio disease). The preliminary diagnosis is conducted real-time with a low complexity neural network realized on the resource-constrained on-body device. The detailed diagnosis requires a larger network that is implemented remotely in cloud and is conditionally activated only for detailed diagnosis (unhealthy individuals). We evaluated the proposed approach using available physiological sensor data from Physionet databases, and achieved 38% energy reduction in comparison to the conventional deep learning approach.

Using Technology to Deliver Mental Health Services to Children and Youth: A Scoping Review

PubMed Central

Boydell, Katherine M.; Hodgins, Michael; Pignatiello, Antonio; Teshima, John; Edwards, Helen; Willis, David

2014-01-01

Objective: To conduct a scoping review on the use of technology to deliver mental health services to children and youth in order to identify the breadth of peer-reviewed literature, summarize findings and identify gaps. Method: A literature database search identified 126 original studies meeting criteria for review. Descriptive numerical summary and thematic analyses were conducted. Two reviewers independently extracted data. Results: Studies were characterized by diverse technologies including videoconferencing, telephone and mobile phone applications and Internet-based applications such as email, web sites and CD-ROMs. Conclusion: The use of technologies plays a major role in the delivery of mental health services and supports to children and youth in providing prevention, assessment, diagnosis, counseling and treatment programs. Strategies are growing exponentially on a global basis, thus it is critical to study the impact of these technologies on child and youth mental health service delivery. An in-depth review and synthesis of the quality of findings of studies on effectiveness of the use of technologies in service delivery are also warranted. A full systematic review would provide that opportunity. PMID:24872824

Using technology to deliver mental health services to children and youth: a scoping review.

PubMed

Boydell, Katherine M; Hodgins, Michael; Pignatiello, Antonio; Teshima, John; Edwards, Helen; Willis, David

2014-05-01

To conduct a scoping review on the use of technology to deliver mental health services to children and youth in order to identify the breadth of peer-reviewed literature, summarize findings and identify gaps. A literature database search identified 126 original studies meeting criteria for review. Descriptive numerical summary and thematic analyses were conducted. Two reviewers independently extracted data. Studies were characterized by diverse technologies including videoconferencing, telephone and mobile phone applications and Internet-based applications such as email, web sites and CD-ROMs. The use of technologies plays a major role in the delivery of mental health services and supports to children and youth in providing prevention, assessment, diagnosis, counseling and treatment programs. Strategies are growing exponentially on a global basis, thus it is critical to study the impact of these technologies on child and youth mental health service delivery. An in-depth review and synthesis of the quality of findings of studies on effectiveness of the use of technologies in service delivery are also warranted. A full systematic review would provide that opportunity.

Genetic testing in the European Union: does economic evaluation matter?

PubMed

Antoñanzas, Fernando; Rodríguez-Ibeas, R; Hutter, M F; Lorente, R; Juárez, C; Pinillos, M

2012-10-01

We review the published economic evaluation studies applied to genetic technologies in the EU to know the main diseases addressed by these studies, the ways the studies were conducted and to assess the efficiency of these new technologies. The final aim of this review was to understand the possibilities of the economic evaluations performed up to date as a tool to contribute to decision making in this area. We have reviewed a set of articles found in several databases until March 2010. Literature searches were made in the following databases: PubMed; Euronheed; Centre for Reviews and Dissemination of the University of York-Health Technology Assessment, Database of Abstracts of Reviews of Effects, NHS Economic Evaluation Database; and Scopus. The algorithm was "(screening or diagnosis) and genetic and (cost or economic) and (country EU27)". We included studies if they met the following criteria: (1) a genetic technology was analysed; (2) human DNA must be tested for; (3) the analysis was a real economic evaluation or a cost study, and (4) the articles had to be related to any EU Member State. We initially found 3,559 papers on genetic testing but only 92 articles of economic analysis referred to a wide range of genetic diseases matched the inclusion criteria. The most studied diseases were as follows: cystic fibrosis (12), breast and ovarian cancer (8), hereditary hemochromatosis (6), Down's syndrome (7), colorectal cancer (5), familial hypercholesterolaemia (5), prostate cancer (4), and thrombophilia (4). Genetic tests were mostly used for screening purposes, and cost-effectiveness analysis is the most common type of economic study. The analysed gene technologies are deemed to be efficient for some specific population groups and screening algorithms according to the values of their cost-effectiveness ratios that were below the commonly accepted threshold of 30,000€. Economic evaluation of genetic technologies matters but the number of published studies is still rather low as to be widely used for most of the decisions in different jurisdictions across the EU. Further, the decision bodies across EU27 are fragmented and the responsibilities are located at different levels of the decision process for what it is difficult to find out whether a given decision on genetic tests was somehow supported by the economic evaluation results.

Acromegaly at diagnosis in 3173 patients from the Liège Acromegaly Survey (LAS) Database.

PubMed

Petrossians, Patrick; Daly, Adrian F; Natchev, Emil; Maione, Luigi; Blijdorp, Karin; Sahnoun-Fathallah, Mona; Auriemma, Renata; Diallo, Alpha M; Hulting, Anna-Lena; Ferone, Diego; Hana, Vaclav; Filipponi, Silvia; Sievers, Caroline; Nogueira, Claudia; Fajardo-Montañana, Carmen; Carvalho, Davide; Hana, Vaclav; Stalla, Günter K; Jaffrain-Réa, Marie-Lise; Delemer, Brigitte; Colao, Annamaria; Brue, Thierry; Neggers, Sebastian J C M M; Zacharieva, Sabina; Chanson, Philippe; Beckers, Albert

2017-10-01

Acromegaly is a rare disorder caused by chronic growth hormone (GH) hypersecretion. While diagnostic and therapeutic methods have advanced, little information exists on trends in acromegaly characteristics over time. The Liège Acromegaly Survey (LAS) Database , a relational database, is designed to assess the profile of acromegaly patients at diagnosis and during long-term follow-up at multiple treatment centers. The following results were obtained at diagnosis. The study population consisted of 3173 acromegaly patients from ten countries; 54.5% were female. Males were significantly younger at diagnosis than females (43.5 vs 46.4 years; P  < 0.001). The median delay from first symptoms to diagnosis was 2 years longer in females ( P  = 0.015). Ages at diagnosis and first symptoms increased significantly over time ( P  < 0.001). Tumors were larger in males than females ( P  < 0.001); tumor size and invasion were inversely related to patient age ( P  < 0.001). Random GH at diagnosis correlated with nadir GH levels during OGTT ( P  < 0.001). GH was inversely related to age in both sexes ( P  < 0.001). Diabetes mellitus was present in 27.5%, hypertension in 28.8%, sleep apnea syndrome in 25.5% and cardiac hypertrophy in 15.5%. Serious cardiovascular outcomes like stroke, heart failure and myocardial infarction were present in <5% at diagnosis. Erythrocyte levels were increased and correlated with IGF-1 values. Thyroid nodules were frequent (34.0%); 820 patients had colonoscopy at diagnosis and 13% had polyps. Osteoporosis was present at diagnosis in 12.3% and 0.6-4.4% had experienced a fracture. In conclusion, this study of >3100 patients is the largest international acromegaly database and shows clinically relevant trends in the characteristics of acromegaly at diagnosis. © 2017 The authors.

DOE technology information management system database study report

DOE Office of Scientific and Technical Information (OSTI.GOV)

Widing, M.A.; Blodgett, D.W.; Braun, M.D.

1994-11-01

To support the missions of the US Department of Energy (DOE) Special Technologies Program, Argonne National Laboratory is defining the requirements for an automated software system that will search electronic databases on technology. This report examines the work done and results to date. Argonne studied existing commercial and government sources of technology databases in five general areas: on-line services, patent database sources, government sources, aerospace technology sources, and general technology sources. First, it conducted a preliminary investigation of these sources to obtain information on the content, cost, frequency of updates, and other aspects of their databases. The Laboratory then performedmore » detailed examinations of at least one source in each area. On this basis, Argonne recommended which databases should be incorporated in DOE`s Technology Information Management System.« less

Biomedical data integration in computational drug design and bioinformatics.

PubMed

Seoane, Jose A; Aguiar-Pulido, Vanessa; Munteanu, Cristian R; Rivero, Daniel; Rabunal, Juan R; Dorado, Julian; Pazos, Alejandro

2013-03-01

In recent years, in the post genomic era, more and more data is being generated by biological high throughput technologies, such as proteomics and transcriptomics. This omics data can be very useful, but the real challenge is to analyze all this data, as a whole, after integrating it. Biomedical data integration enables making queries to different, heterogeneous and distributed biomedical data sources. Data integration solutions can be very useful not only in the context of drug design, but also in biomedical information retrieval, clinical diagnosis, system biology, etc. In this review, we analyze the most common approaches to biomedical data integration, such as federated databases, data warehousing, multi-agent systems and semantic technology, as well as the solutions developed using these approaches in the past few years.

Analysis of databases appropriation in the academic staffs of Iranian Universities of Medical Sciences according to the social appropriation approach.

PubMed

Keyvanara, Mahmoud; Sohrabi, Mozaffar Cheshmeh; Zare, Firoozeh; Hassnazadeh, Akbar; Malekahmadi, Parisa

2014-01-01

Numerous researches conducted on about the quality of perception of media messages shows that the people are not passive receivers but they have the ability of understanding, interpreting and accepting or rejecting messages. In order to make clear the relationship of information and communication technologies with social changes and to gain a broader vision from this scope, sociological theories about information and communication technologies' usage, especially appropriation approach can be very useful. So, keeping in mind the important role of Databases in the qualitative expansion of education, research, diagnosis, remedy and medical services presentation, this research was carried out with the aim of status determination of databases appropriation in the academic staffs of Iranian Universities of Medical Sciences according to the social appropriation approach in 2012. This is an applicative research of an analytical-descriptive type, which was carried out by measurement approach. The statistical society of this research was composed of the academic staffs of the Iranian Universities of Medical Sciences in 2012 and finally 390 academic staffs were selected according to the Cochran's formula were selected. The research tool are searcher's made questionnaire, which was composed of nine separate parts. Its validity was accepted by the specialists and its reliability was calculated and found to be 0.961 by Cronbakh's alpha. Database appropriation score in the academic staffs of Iranian Universities of Medical Sciences with 65.020% was in a good status and data bases dis appropriation score with 71.484 was in a high status. According to the findings of this research, Librarians and politicians in this scope-with determination of the academic staff's positive and negative points in usage and appropriation would be capable of accurately diagnozing and analyzing the chances and challenges of the academic staffs members in using databases and would also be capable of achieving solutions and appropriate catalyzers of prolific usage and appropriation of databases.

A privacy-preserved analytical method for ehealth database with minimized information loss.

PubMed

Chen, Ya-Ling; Cheng, Bo-Chao; Chen, Hsueh-Lin; Lin, Chia-I; Liao, Guo-Tan; Hou, Bo-Yu; Hsu, Shih-Chun

2012-01-01

Digitizing medical information is an emerging trend that employs information and communication technology (ICT) to manage health records, diagnostic reports, and other medical data more effectively, in order to improve the overall quality of medical services. However, medical information is highly confidential and involves private information, even legitimate access to data raises privacy concerns. Medical records provide health information on an as-needed basis for diagnosis and treatment, and the information is also important for medical research and other health management applications. Traditional privacy risk management systems have focused on reducing reidentification risk, and they do not consider information loss. In addition, such systems cannot identify and isolate data that carries high risk of privacy violations. This paper proposes the Hiatus Tailor (HT) system, which ensures low re-identification risk for medical records, while providing more authenticated information to database users and identifying high-risk data in the database for better system management. The experimental results demonstrate that the HT system achieves much lower information loss than traditional risk management methods, with the same risk of re-identification.

Towards G2G: Systems of Technology Database Systems

NASA Technical Reports Server (NTRS)

Maluf, David A.; Bell, David

2005-01-01

We present an approach and methodology for developing Government-to-Government (G2G) Systems of Technology Database Systems. G2G will deliver technologies for distributed and remote integration of technology data for internal use in analysis and planning as well as for external communications. G2G enables NASA managers, engineers, operational teams and information systems to "compose" technology roadmaps and plans by selecting, combining, extending, specializing and modifying components of technology database systems. G2G will interoperate information and knowledge that is distributed across organizational entities involved that is ideal for NASA future Exploration Enterprise. Key contributions of the G2G system will include the creation of an integrated approach to sustain effective management of technology investments that supports the ability of various technology database systems to be independently managed. The integration technology will comply with emerging open standards. Applications can thus be customized for local needs while enabling an integrated management of technology approach that serves the global needs of NASA. The G2G capabilities will use NASA s breakthrough in database "composition" and integration technology, will use and advance emerging open standards, and will use commercial information technologies to enable effective System of Technology Database systems.

The research of network database security technology based on web service

NASA Astrophysics Data System (ADS)

Meng, Fanxing; Wen, Xiumei; Gao, Liting; Pang, Hui; Wang, Qinglin

2013-03-01

Database technology is one of the most widely applied computer technologies, its security is becoming more and more important. This paper introduced the database security, network database security level, studies the security technology of the network database, analyzes emphatically sub-key encryption algorithm, applies this algorithm into the campus-one-card system successfully. The realization process of the encryption algorithm is discussed, this method is widely used as reference in many fields, particularly in management information system security and e-commerce.

[Budget impact of the incorporation of GeneXpert MTB/RIF for diagnosis of pulmonary tuberculosis from the perspective of the Brazilian Unified National Health System, Brazil, 2013-2017].

PubMed

Pinto, Márcia Ferreira Teixeira; Steffen, Ricardo; Entringer, Aline; Costa, Ana Carolina Carioca da; Trajman, Anete

2017-10-09

The study aimed to estimate the budget impact of GeneXpert MTB/RIF for diagnosis of tuberculosis from the perspective of the Brazilian National Program for Tuberculosis Control, drawing on a static model using the epidemiological method, from 2013 to 2017. GeneXpert MTB/RIF was compared with two diagnostic sputum smear tests. The study used epidemiological, population, and cost data, exchange rates, and databases from the Brazilian Unified National Health System. Sensitivity analysis of scenarios was performed. Incorporation of GeneXpert MTB/RIF would cost BRL 147 million (roughly USD 45 million) in five years and would have an impact of 23 to 26% in the first two years and some 11% between 2015 and 2017. The results can support Brazilian and other Latin American health administrators in planning and managing the decision on incorporating the technology.

Computer face-matching technology using two-dimensional photographs accurately matches the facial gestalt of unrelated individuals with the same syndromic form of intellectual disability.

PubMed

Dudding-Byth, Tracy; Baxter, Anne; Holliday, Elizabeth G; Hackett, Anna; O'Donnell, Sheridan; White, Susan M; Attia, John; Brunner, Han; de Vries, Bert; Koolen, David; Kleefstra, Tjitske; Ratwatte, Seshika; Riveros, Carlos; Brain, Steve; Lovell, Brian C

2017-12-19

Massively parallel genetic sequencing allows rapid testing of known intellectual disability (ID) genes. However, the discovery of novel syndromic ID genes requires molecular confirmation in at least a second or a cluster of individuals with an overlapping phenotype or similar facial gestalt. Using computer face-matching technology we report an automated approach to matching the faces of non-identical individuals with the same genetic syndrome within a database of 3681 images [1600 images of one of 10 genetic syndrome subgroups together with 2081 control images]. Using the leave-one-out method, two research questions were specified: 1) Using two-dimensional (2D) photographs of individuals with one of 10 genetic syndromes within a database of images, did the technology correctly identify more than expected by chance: i) a top match? ii) at least one match within the top five matches? or iii) at least one in the top 10 with an individual from the same syndrome subgroup? 2) Was there concordance between correct technology-based matches and whether two out of three clinical geneticists would have considered the diagnosis based on the image alone? The computer face-matching technology correctly identifies a top match, at least one correct match in the top five and at least one in the top 10 more than expected by chance (P < 0.00001). There was low agreement between the technology and clinicians, with higher accuracy of the technology when results were discordant (P < 0.01) for all syndromes except Kabuki syndrome. Although the accuracy of the computer face-matching technology was tested on images of individuals with known syndromic forms of intellectual disability, the results of this pilot study illustrate the potential utility of face-matching technology within deep phenotyping platforms to facilitate the interpretation of DNA sequencing data for individuals who remain undiagnosed despite testing the known developmental disorder genes.

Internet-based profiler system as integrative framework to support translational research

PubMed Central

Kim, Robert; Demichelis, Francesca; Tang, Jeffery; Riva, Alberto; Shen, Ronglai; Gibbs, Doug F; Mahavishno, Vasudeva; Chinnaiyan, Arul M; Rubin, Mark A

2005-01-01

Background Translational research requires taking basic science observations and developing them into clinically useful tests and therapeutics. We have developed a process to develop molecular biomarkers for diagnosis and prognosis by integrating tissue microarray (TMA) technology and an internet-database tool, Profiler. TMA technology allows investigators to study hundreds of patient samples on a single glass slide resulting in the conservation of tissue and the reduction in inter-experimental variability. The Profiler system allows investigator to reliably track, store, and evaluate TMA experiments. Here within we describe the process that has evolved through an empirical basis over the past 5 years at two academic institutions. Results The generic design of this system makes it compatible with multiple organ system (e.g., prostate, breast, lung, renal, and hematopoietic system,). Studies and folders are restricted to authorized users as required. Over the past 5 years, investigators at 2 academic institutions have scanned 656 TMA experiments and collected 63,311 digital images of these tissue samples. 68 pathologists from 12 major user groups have accessed the system. Two groups directly link clinical data from over 500 patients for immediate access and the remaining groups choose to maintain clinical and pathology data on separate systems. Profiler currently has 170 K data points such as staining intensity, tumor grade, and nuclear size. Due to the relational database structure, analysis can be easily performed on single or multiple TMA experimental results. The TMA module of Profiler can maintain images acquired from multiple systems. Conclusion We have developed a robust process to develop molecular biomarkers using TMA technology and an internet-based database system to track all steps of this process. This system is extendable to other types of molecular data as separate modules and is freely available to academic institutions for licensing. PMID:16364175

Internet-based Profiler system as integrative framework to support translational research.

PubMed

Kim, Robert; Demichelis, Francesca; Tang, Jeffery; Riva, Alberto; Shen, Ronglai; Gibbs, Doug F; Mahavishno, Vasudeva; Chinnaiyan, Arul M; Rubin, Mark A

2005-12-19

Translational research requires taking basic science observations and developing them into clinically useful tests and therapeutics. We have developed a process to develop molecular biomarkers for diagnosis and prognosis by integrating tissue microarray (TMA) technology and an internet-database tool, Profiler. TMA technology allows investigators to study hundreds of patient samples on a single glass slide resulting in the conservation of tissue and the reduction in inter-experimental variability. The Profiler system allows investigator to reliably track, store, and evaluate TMA experiments. Here within we describe the process that has evolved through an empirical basis over the past 5 years at two academic institutions. The generic design of this system makes it compatible with multiple organ system (e.g., prostate, breast, lung, renal, and hematopoietic system,). Studies and folders are restricted to authorized users as required. Over the past 5 years, investigators at 2 academic institutions have scanned 656 TMA experiments and collected 63,311 digital images of these tissue samples. 68 pathologists from 12 major user groups have accessed the system. Two groups directly link clinical data from over 500 patients for immediate access and the remaining groups choose to maintain clinical and pathology data on separate systems. Profiler currently has 170 K data points such as staining intensity, tumor grade, and nuclear size. Due to the relational database structure, analysis can be easily performed on single or multiple TMA experimental results. The TMA module of Profiler can maintain images acquired from multiple systems. We have developed a robust process to develop molecular biomarkers using TMA technology and an internet-based database system to track all steps of this process. This system is extendable to other types of molecular data as separate modules and is freely available to academic institutions for licensing.

[Expert systems and automatic diagnostic systems in histopathology--a review].

PubMed

Tamai, S

1999-02-01

In this decade, the pathological information system has gradually been settled in many hospitals in Japan. Pathological reports and images are now digitized and managed in the database, and are referred by clinicians at the peripherals. Tele-pathology is also developing; and its users are increasing. However, in many occasions, the problem solving in diagnostic pathology is completely dependent on the solo-pathologist. Considering the need for timely and efficient supports to the solo-pathologist, I reviewed the papers on the knowledge-based interactive expert systems. The interpretations of the histopathological images are dependent on the pathologist, and these expert systems have been evaluated as "educational". With the view of the success in the cytological screening, the development of "image-analysis-based" automatic "histopathological image" classifier has been on ongoing challenges. Our 3 years experience of the development of the pathological image classifier using the artificial neural networks technology is briefly presented. This classifier provides us a "fitting rate" for the individual diagnostic pattern of the breast tumors, such as "fibroadenoma pattern". The diagnosis assisting system with computer technology should provide pathologists, especially solo-pathologists, a useful tool for the quality assurance and improvement of pathological diagnosis.

Malnutrition Diagnosis during Adult Inpatient Hospitalizations: Analysis of a Multi-Institutional Collaborative Database of Academic Medical Centers.

PubMed

Tobert, Conrad M; Mott, Sarah L; Nepple, Kenneth G

2018-01-01

Malnutrition is a significant problem for hospitalized patients. However, the true prevalence of reported malnutrition diagnosis in real-world clinical practice is largely unknown. Using a large collaborative multi-institutional database, the rate of malnutrition diagnosis was assessed and used to assess institutional variables associated with higher rates of malnutrition diagnosis. The aim of this study was to define the prevalence of malnutrition diagnosis reported among inpatient hospitalizations. The University Health System Consortium (Vizient) database was retrospectively reviewed for reported rates of malnutrition diagnosis. All adult inpatient hospitalization at 105 member institutions during fiscal years 2014 and 2015 were evaluated. Malnutrition diagnosis based on the presence of an International Classification of Diseases-Ninth Revision diagnosis code. Hospital volume and publicly available hospital rankings and patient satisfaction scores were obtained. Multiple regression analysis was performed to assess the association between these variables and reported rates of malnutrition. A total of 5,896,792 hospitalizations were identified from 105 institutions during the 2-year period. It was found that 292,754 patients (5.0%) had a malnutrition diagnosis during their hospital stay. By institution, median rate of malnutrition diagnosis during hospitalization was 4.0%, whereas the rate of severe malnutrition diagnosis was 0.9%. There was a statistically significant increase in malnutrition diagnosis from 4.0% to 4.9% between 2014 and 2015 (P<0.01). Institutional factors associated with increased diagnosis of malnutrition were higher hospital volume, hospital ranking, and patient satisfaction scores (P<0.01). Missing a malnutrition diagnosis appears to be a universal issue because the rate of malnutrition diagnosis was consistently low across academic medical centers. Institutional variables were associated with the prevalence of malnutrition diagnosis, which suggests that institutional culture influences malnutrition diagnosis. Quality improvement efforts aimed at improved structure and process appear to be needed to improve the identification of malnutrition. Copyright © 2018 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.

Narrow-band imaging for the computer assisted diagnosis in patients with Barrett's esophagus

NASA Astrophysics Data System (ADS)

Kage, Andreas; Raithel, Martin; Zopf, Steffen; Wittenberg, Thomas; Münzenmayer, Christian

2009-02-01

Cancer of the esophagus has the worst prediction of all known cancers in Germany. The early detection of suspicious changes in the esophagus allows therapies that can prevent the cancer. Barrett's esophagus is a premalignant change of the esophagus that is a strong indication for cancer. Therefore there is a big interest to detect Barrett's esophagus as early as possible. The standard examination is done with a videoscope where the physician checks the esophagus for suspicious regions. Once a suspicious region is found, the physician takes a biopsy of that region to get a histological result of it. Besides the traditional white light for the illumination there is a new technology: the so called narrow-band Imaging (NBI). This technology uses a smaller spectrum of the visible light to highlight the scene captured by the videoscope. Medical studies indicate that the use of NBI instead of white light can increase the rate of correct diagnoses of a physician. In the future, Computer-Assisted Diagnosis (CAD) which is well known in the area of mammography might be used to support the physician in the diagnosis of different lesions in the esophagus. A knowledge-based system which uses a database is a possible solution for this task. For our work we have collected NBI images containing 326 Regions of Interest (ROI) of three typical classes: epithelium, cardia mucosa and Barrett's esophagus. We then used standard texture analysis features like those proposed by Haralick, Chen, Gabor and Unser to extract features from every ROI. The performance of the classification was evaluated with a classifier using the leaving-one-out sampling. The best result that was achieved is an accuracy of 92% for all classes and an accuracy of 76% for Barrett's esophagus. These results show that the NBI technology can provide a good diagnosis support when used in a CAD system.

XML technology planning database : lessons learned

NASA Technical Reports Server (NTRS)

Some, Raphael R.; Neff, Jon M.

2005-01-01

A hierarchical Extensible Markup Language(XML) database called XCALIBR (XML Analysis LIBRary) has been developed by Millennium Program to assist in technology investment (ROI) analysis and technology Language Capability the New return on portfolio optimization. The database contains mission requirements and technology capabilities, which are related by use of an XML dictionary. The XML dictionary codifies a standardized taxonomy for space missions, systems, subsystems and technologies. In addition to being used for ROI analysis, the database is being examined for use in project planning, tracking and documentation. During the past year, the database has moved from development into alpha testing. This paper describes the lessons learned during construction and testing of the prototype database and the motivation for moving from an XML taxonomy to a standard XML-based ontology.

Coding of obesity in administrative hospital discharge abstract data: accuracy and impact for future research studies.

PubMed

Martin, Billie-Jean; Chen, Guanmin; Graham, Michelle; Quan, Hude

2014-02-13

Obesity is a pervasive problem and a popular subject of academic assessment. The ability to take advantage of existing data, such as administrative databases, to study obesity is appealing. The objective of our study was to assess the validity of obesity coding in an administrative database and compare the association between obesity and outcomes in an administrative database versus registry. This study was conducted using a coronary catheterization registry and an administrative database (Discharge Abstract Database (DAD)). A Body Mass Index (BMI) ≥30 kg/m2 within the registry defined obesity. In the DAD obesity was defined by diagnosis codes E65-E68 (ICD-10). The sensitivity, specificity, negative predictive value (NPV) and positive predictive value (PPV) of an obesity diagnosis in the DAD was determined using obesity diagnosis in the registry as the referent. The association between obesity and outcomes was assessed. The study population of 17380 subjects was largely male (68.8%) with a mean BMI of 27.0 kg/m2. Obesity prevalence was lower in the DAD than registry (2.4% vs. 20.3%). A diagnosis of obesity in the DAD had a sensitivity 7.75%, specificity 98.98%, NPV 80.84% and PPV 65.94%. Obesity was associated with decreased risk of death or re-hospitalization, though non-significantly within the DAD. Obesity was significantly associated with an increased risk of cardiac procedure in both databases. Overall, obesity was poorly coded in the DAD. However, when coded, it was coded accurately. Administrative databases are not an optimal datasource for obesity prevalence and incidence surveillance but could be used to define obese cohorts for follow-up.

Telemental health: A status update.

PubMed

Aboujaoude, Elias; Salame, Wael; Naim, Lama

2015-06-01

A rather large body of literature now exists on the use of telemental health services in the diagnosis and management of various psychiatric conditions. This review aims to provide an up-to-date assessment of telemental health, focusing on four main areas: computerized CBT (cCBT), Internet-based CBT (iCBT), virtual reality exposure therapy (VRET), and mobile therapy (mTherapy). Four scientific databases were searched and, where possible, larger, better-designed meta-analyses and controlled trials were highlighted. Taken together, published studies support an expanded role for telepsychiatry tools, with advantages that include increased care access, enhanced efficiency, reduced stigma associated with visiting mental health clinics, and the ability to bypass diagnosis-specific obstacles to treatment, such as when social anxiety prevents a patient from leaving the house. Of technology-mediated therapies, cCBT and iCBT possess the most efficacy evidence, with VRET and mTherapy representing promising but less researched options that have grown in parallel with virtual reality and mobile technology advances. Nonetheless, telepsychiatry remains challenging because of the need for specific computer skills, the difficulty in providing patients with a deep understanding or support, concerns about the "therapeutic alliance", privacy fears, and the well documented problem of patient attrition. Future studies should further test the efficacy, advantages and limitations of technology-enabled CBT, as well as explore the online delivery of other psychotherapeutic and psychopharmacological modalities. © 2015 World Psychiatric Association.

Creation of a federated database of blood proteins: a powerful new tool for finding and characterizing biomarkers in serum

PubMed Central

2014-01-01

Protein biomarkers offer major benefits for diagnosis and monitoring of disease processes. Recent advances in protein mass spectrometry make it feasible to use this very sensitive technology to detect and quantify proteins in blood. To explore the potential of blood biomarkers, we conducted a thorough review to evaluate the reliability of data in the literature and to determine the spectrum of proteins reported to exist in blood with a goal of creating a Federated Database of Blood Proteins (FDBP). A unique feature of our approach is the use of a SQL database for all of the peptide data; the power of the SQL database combined with standard informatic algorithms such as BLAST and the statistical analysis system (SAS) allowed the rapid annotation and analysis of the database without the need to create special programs to manage the data. Our mathematical analysis and review shows that in addition to the usual secreted proteins found in blood, there are many reports of intracellular proteins and good agreement on transcription factors, DNA remodelling factors in addition to cellular receptors and their signal transduction enzymes. Overall, we have catalogued about 12,130 proteins identified by at least one unique peptide, and of these 3858 have 3 or more peptide correlations. The FDBP with annotations should facilitate testing blood for specific disease biomarkers. PMID:24476026

Digital imagery/telecytology. International Academy of Cytology Task Force summary. Diagnostic Cytology Towards the 21st Century: An International Expert Conference and Tutorial.

PubMed

O'Brien, M J; Takahashi, M; Brugal, G; Christen, H; Gahm, T; Goodell, R M; Karakitsos, P; Knesel, E A; Kobler, T; Kyrkou, K A; Labbe, S; Long, E L; Mango, L J; McGoogan, E; Oberholzer, M; Reith, A; Winkler, C

1998-01-01

Optical digital imaging and its related technologies have applications in cytopathology that encompass training and education, image analysis, diagnosis, report documentation and archiving, and telecommunications. Telecytology involves the use of telecommunications to transmit cytology images for the purposes of diagnosis, consultation or education. This working paper provides a mainly informational overview of optical digital imaging and summarizes current technologic resources and applications and some of the ethical and legal implications of the use of these new technologies in cytopathology. Computer hardware standards for optical digital imagery will continue to be driven mainly by commercial interests and nonmedical imperatives, but professional organizations can play a valuable role in developing recommendations or standards for digital image sampling, documentation, archiving, authenticity safeguards and teleconsultation protocols; in addressing patient confidentiality and ethical, legal and informed consent issues; and in providing support for quality assurance and standardization of digital image-based testing. There is some evidence that high levels of accuracy for telepathology diagnosis can be achieved using existing dynamic systems, which may also be applicable to telecytology consultation. Static systems for both telepathology and telecytology, which have the advantage of considerably lower cost, appear to have lower levels of accuracy. Laboratories that maintain digital image databases should adopt practices and protocols that ensure patient confidentiality. Individuals participating in telecommunication of digital images for diagnosis should be properly qualified, meet licensing requirements and use procedures that protect patient confidentiality. Such individuals should be cognizant of the limitations of the technology and employ quality assurance practices that ensure the validity and accuracy of each consultation. Even in an informal teleconsultation setting one should define the extent of participation and be mindful of potential malpractice liability. Digital imagery applications will continue to present new opportunities and challenges. Position papers such as this are directed toward assisting the profession to stay informed and in control of these applications in the laboratory. Telecytology is an area in particular need of studies of good quality to provide data on factors affecting accuracy. New technologic approaches to addressing the issue of selective sampling in static image consultation are needed. The use of artificial intelligence software as an adjunct to enhance the accuracy and reproducibility of cytologic diagnosis of digital images in routine and consultation settings deserves to be pursued. Other telecytology-related issues that require clarification and the adoption of workable guidelines include interstate licensure and protocols to define malpractice liability.

Retinal imaging using adaptive optics technology☆

PubMed Central

Kozak, Igor

2014-01-01

Adaptive optics (AO) is a technology used to improve the performance of optical systems by reducing the effect of wave front distortions. Retinal imaging using AO aims to compensate for higher order aberrations originating from the cornea and the lens by using deformable mirror. The main application of AO retinal imaging has been to assess photoreceptor cell density, spacing, and mosaic regularity in normal and diseased eyes. Apart from photoreceptors, the retinal pigment epithelium, retinal nerve fiber layer, retinal vessel wall and lamina cribrosa can also be visualized with AO technology. Recent interest in AO technology in eye research has resulted in growing number of reports and publications utilizing this technology in both animals and humans. With the availability of first commercially available instruments we are making transformation of AO technology from a research tool to diagnostic instrument. The current challenges include imaging eyes with less than perfect optical media, formation of normative databases for acquired images such as cone mosaics, and the cost of the technology. The opportunities for AO will include more detailed diagnosis with description of some new findings in retinal diseases and glaucoma as well as expansion of AO into clinical trials which has already started. PMID:24843304

Building a medical image processing algorithm verification database

NASA Astrophysics Data System (ADS)

Brown, C. Wayne

2000-06-01

The design of a database containing head Computed Tomography (CT) studies is presented, along with a justification for the database's composition. The database will be used to validate software algorithms that screen normal head CT studies from studies that contain pathology. The database is designed to have the following major properties: (1) a size sufficient for statistical viability, (2) inclusion of both normal (no pathology) and abnormal scans, (3) inclusion of scans due to equipment malfunction, technologist error, and uncooperative patients, (4) inclusion of data sets from multiple scanner manufacturers, (5) inclusion of data sets from different gender and age groups, and (6) three independent diagnosis of each data set. Designed correctly, the database will provide a partial basis for FDA (United States Food and Drug Administration) approval of image processing algorithms for clinical use. Our goal for the database is the proof of viability of screening head CT's for normal anatomy using computer algorithms. To put this work into context, a classification scheme for 'computer aided diagnosis' systems is proposed.

Hepatitis Diagnosis Using Facial Color Image

NASA Astrophysics Data System (ADS)

Liu, Mingjia; Guo, Zhenhua

Facial color diagnosis is an important diagnostic method in traditional Chinese medicine (TCM). However, due to its qualitative, subjective and experi-ence-based nature, traditional facial color diagnosis has a very limited application in clinical medicine. To circumvent the subjective and qualitative problems of facial color diagnosis of Traditional Chinese Medicine, in this paper, we present a novel computer aided facial color diagnosis method (CAFCDM). The method has three parts: face Image Database, Image Preprocessing Module and Diagnosis Engine. Face Image Database is carried out on a group of 116 patients affected by 2 kinds of liver diseases and 29 healthy volunteers. The quantitative color feature is extracted from facial images by using popular digital image processing techni-ques. Then, KNN classifier is employed to model the relationship between the quantitative color feature and diseases. The results show that the method can properly identify three groups: healthy, severe hepatitis with jaundice and severe hepatitis without jaundice with accuracy higher than 73%.

The Cost-Utility Analysis of PET-Scan in Diagnosis and Treatment of Non-Small Cell Lung Carcinoma in Iran.

PubMed

Akbari Sari, Ali; Ravaghi, Hamid; Mobinizadeh, Mohammadreza; Sarvari, Sima

2013-06-01

PET scan is a non-invasive, complex and expensive medical imaging technology that is normally used for the diagnosis and treatment of various diseases including lung cancer. The purpose of this study is to assess the cost effectiveness of this technology in the diagnosis and treatment of non- small cell lung carcinoma (NSCLC) in Iran. The main electronic databases including The Cochrane Library and Medline were searched to identify available evidence about the performance and effectiveness of technology. A standard decision tree model with seven strategies was used to perform the economic evaluation. Retrieved studies and expert opinion were used to estimate the cost of each treatment strategy in Iran. The costs were divided into three categories including capital costs (depreciation costs of buildings and equipment), staff costs and other expenses (including cost of consumables, running and maintenance costs). The costs were estimated in both IR-Rials and US-Dollars with an exchange rate of 10.000 IR Rials per one US Dollar according to the exchange rate in 2008. The total annual running cost of a PET scan was about 8850 to 13000 million Rials, (0.9 to 1.3 million US$). The average cost of performing a PET scan varied between 3 and 4.5 million Rials (300 to 450US$). The strategies 3 (mediastinoscopy alone) and 7 (mediastinoscopy after PET scan) were more cost-effective than other strategies, especially when the result of the CT-scan performed before PET scan was negative. The technical performance of PET scan is significantly higher than similar technologies for staging and treatment of NSCLC. In addition, it might slightly improve the treatment process and lead to a small level of increase in the quality adjusted life year (QALY) gained by these patients making it cost-effective for the treatment of NSCLC.

Computers in medicine: liability issues for physicians.

PubMed

Hafner, A W; Filipowicz, A B; Whitely, W P

1989-07-01

Physicians routinely use computers to store, access, and retrieve medical information. As computer use becomes even more widespread in medicine, failure to utilize information systems may be seen as a violation of professional custom and lead to findings of professional liability. Even when a technology is not widespread, failure to incorporate it into medical practice may give rise to liability if the technology is accessible to the physician and reduces risk to the patient. Improvement in the availability of medical information sources imposes a greater burden on the physician to keep current and to obtain informed consent from patients. To routinely perform computer-assisted literature searches for informed consent and diagnosis is 'good medicine'. Clinical and diagnostic applications of computer technology now include computer-assisted decision making with the aid of sophisticated databases. Although such systems will expand the knowledge base and competence of physicians, malfunctioning software raises a major liability question. Also, complex computer-driven technology is used in direct patient care. Defective or improperly used hardware or software can lead to patient injury, thus raising additional complicated questions of professional liability and product liability.

Identification of Hospitalizations for Intentional Self-Harm when E-Codes are Incompletely Recorded

PubMed Central

Patrick, Amanda R.; Miller, Matthew; Barber, Catherine W.; Wang, Philip S.; Canning, Claire F.; Schneeweiss, Sebastian

2010-01-01

Context Suicidal behavior has gained attention as an adverse outcome of prescription drug use. Hospitalizations for intentional self-harm, including suicide, can be identified in administrative claims databases using external cause of injury codes (E-codes). However, rates of E-code completeness in US government and commercial claims databases are low due to issues with hospital billing software. Objective To develop an algorithm to identify intentional self-harm hospitalizations using recorded injury and psychiatric diagnosis codes in the absence of E-code reporting. Methods We sampled hospitalizations with an injury diagnosis (ICD-9 800–995) from 2 databases with high rates of E-coding completeness: 1999–2001 British Columbia, Canada data and the 2004 U.S. Nationwide Inpatient Sample. Our gold standard for intentional self-harm was a diagnosis of E950-E958. We constructed algorithms to identify these hospitalizations using information on type of injury and presence of specific psychiatric diagnoses. Results The algorithm that identified intentional self-harm hospitalizations with high sensitivity and specificity was a diagnosis of poisoning; toxic effects; open wound to elbow, wrist, or forearm; or asphyxiation; plus a diagnosis of depression, mania, personality disorder, psychotic disorder, or adjustment reaction. This had a sensitivity of 63%, specificity of 99% and positive predictive value (PPV) of 86% in the Canadian database. Values in the US data were 74%, 98%, and 73%. PPV was highest (80%) in patients under 25 and lowest those over 65 (44%). Conclusions The proposed algorithm may be useful for researchers attempting to study intentional self-harm in claims databases with incomplete E-code reporting, especially among younger populations. PMID:20922709

Nondestructive tissue analysis for ex vivo and in vivo cancer diagnosis using a handheld mass spectrometry system

PubMed Central

Zhang, Jialing; Rector, John; Lin, John Q.; Young, Jonathan H.; Sans, Marta; Katta, Nitesh; Giese, Noah; Yu, Wendong; Nagi, Chandandeep; Suliburk, James; Liu, Jinsong; Bensussan, Alena; DeHoog, Rachel J.; Garza, Kyana Y.; Ludolph, Benjamin; Sorace, Anna G.; Syed, Anum; Zahedivash, Aydin; Milner, Thomas E.; Eberlin, Livia S.

2018-01-01

Conventional methods for histopathologic tissue diagnosis are labor- and time-intensive and can delay decision-making during diagnostic and therapeutic procedures. We report the development of an automated and biocompatible handheld mass spectrometry device for rapid and nondestructive diagnosis of human cancer tissues. The device, named MasSpec Pen, enables controlled and automated delivery of a discrete water droplet to a tissue surface for efficient extraction of biomolecules. We used the MasSpec Pen for ex vivo molecular analysis of 20 human cancer thin tissue sections and 253 human patient tissue samples including normal and cancerous tissues from breast, lung, thyroid, and ovary. The mass spectra obtained presented rich molecular profiles characterized by a variety of potential cancer biomarkers identified as metabolites, lipids, and proteins. Statistical classifiers built from the histologically validated molecular database allowed cancer prediction with high sensitivity (96.4%), specificity (96.2%), and overall accuracy (96.3%), as well as prediction of benign and malignant thyroid tumors and different histologic subtypes of lung cancer. Notably, our classifier allowed accurate diagnosis of cancer in marginal tumor regions presenting mixed histologic composition. Last, we demonstrate that the MasSpec Pen is suited for in vivo cancer diagnosis during surgery performed in tumor-bearing mouse models, without causing any observable tissue harm or stress to the animal. Our results provide evidence that the MasSpec Pen could potentially be used as a clinical and intraoperative technology for ex vivo and in vivo cancer diagnosis. PMID:28878011

Cycle 1 as predictor of assisted reproductive technology treatment outcome over multiple cycles: an analysis of linked cycles from the Society for Assisted Reproductive Technology Clinic Outcomes Reporting System online database.

PubMed

Stern, Judy E; Brown, Morton B; Luke, Barbara; Wantman, Ethan; Lederman, Avi; Hornstein, Mark D

2011-02-01

To determine whether the first cycle of assisted reproductive technology (ART) predicts treatment course and outcome. Retrospective study of linked cycles. Society for Assisted Reproductive Technology Clinic Outcome Reporting System database. A total of 6,352 ART patients residing or treated in Massachusetts with first treatment cycle in 2004-2005 using fresh, autologous oocytes and no prior ART. Women were categorized by first cycle as follows: Group I, no retrieval; Group II, retrieval, no transfer; Group III, transfer, no embryo cryopreservation; Group IV, transfer plus cryopreservation; and Group V, all embryos cryopreserved. None. Cumulative live-birth delivery per woman, use of donor eggs, intracytoplasmic sperm injection (ICSI), or frozen embryo transfers (FET). Groups differed in age, baseline FSH level, prior gravidity, diagnosis, and failure to return for Cycle 2. Live-birth delivery per woman for groups I through V for women with no delivery in Cycle I were 32.1%, 35.9%, 40.1%, 53.4%, and 51.3%, respectively. Groups I and II were more likely to subsequently use donor eggs (14.5% and 10.9%). Group II had the highest use of ICSI (73.3%); Group III had the lowest use of FET (8.9%). Course of treatment in the first ART cycle is related to different cumulative live-birth delivery rates and eventual use of donor egg, ICSI, and FET. Copyright © 2011 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

Alternative treatment technology information center computer database system

DOE Office of Scientific and Technical Information (OSTI.GOV)

Sullivan, D.

1995-10-01

The Alternative Treatment Technology Information Center (ATTIC) computer database system was developed pursuant to the 1986 Superfund law amendments. It provides up-to-date information on innovative treatment technologies to clean up hazardous waste sites. ATTIC v2.0 provides access to several independent databases as well as a mechanism for retrieving full-text documents of key literature. It can be accessed with a personal computer and modem 24 hours a day, and there are no user fees. ATTIC provides {open_quotes}one-stop shopping{close_quotes} for information on alternative treatment options by accessing several databases: (1) treatment technology database; this contains abstracts from the literature on all typesmore » of treatment technologies, including biological, chemical, physical, and thermal methods. The best literature as viewed by experts is highlighted. (2) treatability study database; this provides performance information on technologies to remove contaminants from wastewaters and soils. It is derived from treatability studies. This database is available through ATTIC or separately as a disk that can be mailed to you. (3) underground storage tank database; this presents information on underground storage tank corrective actions, surface spills, emergency response, and remedial actions. (4) oil/chemical spill database; this provides abstracts on treatment and disposal of spilled oil and chemicals. In addition to these separate databases, ATTIC allows immediate access to other disk-based systems such as the Vendor Information System for Innovative Treatment Technologies (VISITT) and the Bioremediation in the Field Search System (BFSS). The user may download these programs to their own PC via a high-speed modem. Also via modem, users are able to download entire documents through the ATTIC system. Currently, about fifty publications are available, including Superfund Innovative Technology Evaluation (SITE) program documents.« less

ICADx: interpretable computer aided diagnosis of breast masses

NASA Astrophysics Data System (ADS)

Kim, Seong Tae; Lee, Hakmin; Kim, Hak Gu; Ro, Yong Man

2018-02-01

In this study, a novel computer aided diagnosis (CADx) framework is devised to investigate interpretability for classifying breast masses. Recently, a deep learning technology has been successfully applied to medical image analysis including CADx. Existing deep learning based CADx approaches, however, have a limitation in explaining the diagnostic decision. In real clinical practice, clinical decisions could be made with reasonable explanation. So current deep learning approaches in CADx are limited in real world deployment. In this paper, we investigate interpretability in CADx with the proposed interpretable CADx (ICADx) framework. The proposed framework is devised with a generative adversarial network, which consists of interpretable diagnosis network and synthetic lesion generative network to learn the relationship between malignancy and a standardized description (BI-RADS). The lesion generative network and the interpretable diagnosis network compete in an adversarial learning so that the two networks are improved. The effectiveness of the proposed method was validated on public mammogram database. Experimental results showed that the proposed ICADx framework could provide the interpretability of mass as well as mass classification. It was mainly attributed to the fact that the proposed method was effectively trained to find the relationship between malignancy and interpretations via the adversarial learning. These results imply that the proposed ICADx framework could be a promising approach to develop the CADx system.

Database security and encryption technology research and application

NASA Astrophysics Data System (ADS)

Zhu, Li-juan

2013-03-01

The main purpose of this paper is to discuss the current database information leakage problem, and discuss the important role played by the message encryption techniques in database security, As well as MD5 encryption technology principle and the use in the field of website or application. This article is divided into introduction, the overview of the MD5 encryption technology, the use of MD5 encryption technology and the final summary. In the field of requirements and application, this paper makes readers more detailed and clearly understood the principle, the importance in database security, and the use of MD5 encryption technology.

Applications of Technology to CAS Data-Base Production.

ERIC Educational Resources Information Center

Weisgerber, David W.

1984-01-01

Reviews the economic importance of applying computer technology to Chemical Abstracts Service database production from 1973 to 1983. Database building, technological applications for editorial processing (online editing, Author Index Manufacturing System), and benefits (increased staff productivity, reduced rate of increase of cost of services,…

Potentials of Advanced Database Technology for Military Information Systems

DTIC Science & Technology

2001-04-01

UNCLASSIFIED Defense Technical Information Center Compilation Part Notice ADP010866 TITLE: Potentials of Advanced Database Technology for Military... Technology for Military Information Systems Sunil Choennia Ben Bruggemanb a National Aerospace Laboratory, NLR, P.O. Box 90502, 1006 BM Amsterdam...application of advanced information tech- nology, including database technology , as underpin- actions X and Y as dangerous or not? ning is

Implications of Multilingual Interoperability of Speech Technology for Military Use (Les implications de l’interoperabilite multilingue des technologies vocales pour applications militaires)

DTIC Science & Technology

2004-09-01

Databases 2-2 2.3.1 Translanguage English Database 2-2 2.3.2 Australian National Database of Spoken Language 2-3 2.3.3 Strange Corpus 2-3 2.3.4...some relevance to speech technology research. 2.3.1 Translanguage English Database In a daring plan Joseph Mariani, then at LIMSI-CNRS, proposed to...native speakers. The database is known as the ‘ Translanguage English Database’ but is often referred to as the ‘terrible English database.’ About 28

[Application of single nucleotide polymorphism-microarray and target gene sequencing in the study of genetic etiology of children with unexplained intellectual disability or developmental delay].

PubMed

Gao, Z J; Jiang, Q; Cheng, D Z; Yan, X X; Chen, Q; Xu, K M

2016-10-02

Objective: To evaluate the application of single nucleotide polymorphism (SNP)-microarray and target gene sequencing technology in the clinical molecular genetic diagnosis of unexplained intellectual disability(ID) or developmental delay (DD). Method: Patients with ID or DD were recruited in the Department of Neurology, Affiliated Children's Hospital of Capital Institute of Pediatrics between September 2015 and February 2016. The intellectual assessment of the patients was performed using 0-6-year-old pediatric examination table of neuropsychological development or Wechsler intelligence scale (>6 years). Patients with a DQ less than 49 or IQ less than 51 were included in this study. The patients were scanned by SNP-array for detection of genomic copy number variations (CNV), and the revealed genomic imbalance was confirmed by quantitative real time-PCR. Candidate gene mutation screening was carried out by target gene sequencing technology.Causal mutations or likely pathogenic variants were verified by polymerase chain reaction and direct sequencing. Result: There were 15 children with ID or DD enrolled, 9 males and 6 females. The age of these patients was 7 months-16 years and 9 months. SNP-array revealed that two of the 15 patients had genomic CNV. Both CNV were de novo micro deletions, one involved 11q24.1q25 and the other micro deletion located on 21q22.2q22.3. Both micro deletions were proved to have a clinical significance due to their association with ID, brain DD, unusual faces etc. by querying Decipher database. Thirteen patients with negative findings in SNP-array were consequently examined with target gene sequencing technology, genotype-phenotype correlation analysis and genetic analysis. Five patients were diagnosed with monogenic disorder, two were diagnosed with suspected genetic disorder and six were still negative. Conclusion: Sequential use of SNP-array and target gene sequencing technology can significantly increase the molecular genetic etiologic diagnosis rate of the patients with unexplained ID or DD. Combined use of these technologies can serve as a useful examinational method in assisting differential diagnosis of children with unexplained ID or DD.

Academic consortium for the evaluation of computer-aided diagnosis (CADx) in mammography

NASA Astrophysics Data System (ADS)

Mun, Seong K.; Freedman, Matthew T.; Wu, Chris Y.; Lo, Shih-Chung B.; Floyd, Carey E., Jr.; Lo, Joseph Y.; Chan, Heang-Ping; Helvie, Mark A.; Petrick, Nicholas; Sahiner, Berkman; Wei, Datong; Chakraborty, Dev P.; Clarke, Laurence P.; Kallergi, Maria; Clark, Bob; Kim, Yongmin

1995-04-01

Computer aided diagnosis (CADx) is a promising technology for the detection of breast cancer in screening mammography. A number of different approaches have been developed for CADx research that have achieved significant levels of performance. Research teams now recognize the need for a careful and detailed evaluation study of approaches to accelerate the development of CADx, to make CADx more clinically relevant and to optimize the CADx algorithms based on unbiased evaluations. The results of such a comparative study may provide each of the participating teams with new insights into the optimization of their individual CADx algorithms. This consortium of experienced CADx researchers is working as a group to compare results of the algorithms and to optimize the performance of CADx algorithms by learning from each other. Each institution will be contributing an equal number of cases that will be collected under a standard protocol for case selection, truth determination, and data acquisition to establish a common and unbiased database for the evaluation study. An evaluation procedure for the comparison studies are being developed to analyze the results of individual algorithms for each of the test cases in the common database. Optimization of individual CADx algorithms can be made based on the comparison studies. The consortium effort is expected to accelerate the eventual clinical implementation of CADx algorithms at participating institutions.

Integrating Genome-based Informatics to Modernize Global Disease Monitoring, Information Sharing, and Response

PubMed Central

Brown, Eric W.; Detter, Chris; Gerner-Smidt, Peter; Gilmour, Matthew W.; Harmsen, Dag; Hendriksen, Rene S.; Hewson, Roger; Heymann, David L.; Johansson, Karin; Ijaz, Kashef; Keim, Paul S.; Koopmans, Marion; Kroneman, Annelies; Wong, Danilo Lo Fo; Lund, Ole; Palm, Daniel; Sawanpanyalert, Pathom; Sobel, Jeremy; Schlundt, Jørgen

2012-01-01

The rapid advancement of genome technologies holds great promise for improving the quality and speed of clinical and public health laboratory investigations and for decreasing their cost. The latest generation of genome DNA sequencers can provide highly detailed and robust information on disease-causing microbes, and in the near future these technologies will be suitable for routine use in national, regional, and global public health laboratories. With additional improvements in instrumentation, these next- or third-generation sequencers are likely to replace conventional culture-based and molecular typing methods to provide point-of-care clinical diagnosis and other essential information for quicker and better treatment of patients. Provided there is free-sharing of information by all clinical and public health laboratories, these genomic tools could spawn a global system of linked databases of pathogen genomes that would ensure more efficient detection, prevention, and control of endemic, emerging, and other infectious disease outbreaks worldwide. PMID:23092707

Designing Corporate Databases to Support Technology Innovation

ERIC Educational Resources Information Center

Gultz, Michael Jarett

2012-01-01

Based on a review of the existing literature on database design, this study proposed a unified database model to support corporate technology innovation. This study assessed potential support for the model based on the opinions of 200 technology industry executives, including Chief Information Officers, Chief Knowledge Officers and Chief Learning…

Advanced Technology Lifecycle Analysis System (ATLAS) Technology Tool Box (TTB)

NASA Technical Reports Server (NTRS)

Doyle, Monica; ONeil, Daniel A.; Christensen, Carissa B.

2005-01-01

The Advanced Technology Lifecycle Analysis System (ATLAS) is a decision support tool designed to aid program managers and strategic planners in determining how to invest technology research and development dollars. It is an Excel-based modeling package that allows a user to build complex space architectures and evaluate the impact of various technology choices. ATLAS contains system models, cost and operations models, a campaign timeline and a centralized technology database. Technology data for all system models is drawn from a common database, the ATLAS Technology Tool Box (TTB). The TTB provides a comprehensive, architecture-independent technology database that is keyed to current and future timeframes.

Bayesian approach to transforming public gene expression repositories into disease diagnosis databases.

PubMed

Huang, Haiyan; Liu, Chun-Chi; Zhou, Xianghong Jasmine

2010-04-13

The rapid accumulation of gene expression data has offered unprecedented opportunities to study human diseases. The National Center for Biotechnology Information Gene Expression Omnibus is currently the largest database that systematically documents the genome-wide molecular basis of diseases. However, thus far, this resource has been far from fully utilized. This paper describes the first study to transform public gene expression repositories into an automated disease diagnosis database. Particularly, we have developed a systematic framework, including a two-stage Bayesian learning approach, to achieve the diagnosis of one or multiple diseases for a query expression profile along a hierarchical disease taxonomy. Our approach, including standardizing cross-platform gene expression data and heterogeneous disease annotations, allows analyzing both sources of information in a unified probabilistic system. A high level of overall diagnostic accuracy was shown by cross validation. It was also demonstrated that the power of our method can increase significantly with the continued growth of public gene expression repositories. Finally, we showed how our disease diagnosis system can be used to characterize complex phenotypes and to construct a disease-drug connectivity map.

77 FR 66617 - HIT Policy and Standards Committees; Workgroup Application Database

Federal Register 2010, 2011, 2012, 2013, 2014

2012-11-06

... Database AGENCY: Office of the National Coordinator for Health Information Technology, HHS. ACTION: Notice of New ONC HIT FACA Workgroup Application Database. The Office of the National Coordinator (ONC) has launched a new Health Information Technology Federal Advisory Committee Workgroup Application Database...

Economic Evaluations in the Diagnosis and Management of Traumatic Brain Injury: A Systematic Review and Analysis of Quality.

PubMed

Alali, Aziz S; Burton, Kirsteen; Fowler, Robert A; Naimark, David M J; Scales, Damon C; Mainprize, Todd G; Nathens, Avery B

2015-07-01

Economic evaluations provide a unique opportunity to identify the optimal strategies for the diagnosis and management of traumatic brain injury (TBI), for which uncertainty is common and the economic burden is substantial. The objective of this study was to systematically review and examine the quality of contemporary economic evaluations in the diagnosis and management of TBI. Two reviewers independently searched MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, NHS Economic Evaluation Database, Health Technology Assessment Database, EconLit, and the Tufts CEA Registry for comparative economic evaluations published from 2000 onward (last updated on August 30, 2013). Data on methods, results, and quality were abstracted in duplicate. The results were summarized quantitatively and qualitatively. Of 3539 citations, 24 economic evaluations met our inclusion criteria. Nine were cost-utility, five were cost-effectiveness, three were cost-minimization, and seven were cost-consequences analyses. Only six studies were of high quality. Current evidence from high-quality studies suggests the economic attractiveness of the following strategies: a low medical threshold for computed tomography (CT) scanning of asymptomatic infants with possible inflicted TBI, selective CT scanning of adults with mild TBI as per the Canadian CT Head Rule, management of severe TBI according to the Brain Trauma Foundation guidelines, management of TBI in dedicated neurocritical care units, and early transfer of patients with TBI with nonsurgical lesions to neuroscience centers. Threshold-guided CT scanning, adherence to Brain Trauma Foundation guidelines, and care for patients with TBI, including those with nonsurgical lesions, in specialized settings appear to be economically attractive strategies. Copyright © 2015 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

Evaluating the quality of Marfan genotype-phenotype correlations in existing FBN1 databases.

PubMed

Groth, Kristian A; Von Kodolitsch, Yskert; Kutsche, Kerstin; Gaustadnes, Mette; Thorsen, Kasper; Andersen, Niels H; Gravholt, Claus H

2017-07-01

Genetic FBN1 testing is pivotal for confirming the clinical diagnosis of Marfan syndrome. In an effort to evaluate variant causality, FBN1 databases are often used. We evaluated the current databases regarding FBN1 variants and validated associated phenotype records with a new Marfan syndrome geno-phenotyping tool called the Marfan score. We evaluated four databases (UMD-FBN1, ClinVar, the Human Gene Mutation Database (HGMD), and Uniprot) containing 2,250 FBN1 variants supported by 4,904 records presented in 307 references. The Marfan score calculated for phenotype data from the records quantified variant associations with Marfan syndrome phenotype. We calculated a Marfan score for 1,283 variants, of which we confirmed the database diagnosis of Marfan syndrome in 77.1%. This represented only 35.8% of the total registered variants; 18.5-33.3% (UMD-FBN1 versus HGMD) of variants associated with Marfan syndrome in the databases could not be confirmed by the recorded phenotype. FBN1 databases can be imprecise and incomplete. Data should be used with caution when evaluating FBN1 variants. At present, the UMD-FBN1 database seems to be the biggest and best curated; therefore, it is the most comprehensive database. However, the need for better genotype-phenotype curated databases is evident, and we hereby present such a database.Genet Med advance online publication 01 December 2016.

A web-based knowledge management system integrating Western and Traditional Chinese Medicine for relational medical diagnosis.

PubMed

Herrera-Hernandez, Maria C; Lai-Yuen, Susana K; Piegl, Les A; Zhang, Xiao

2016-10-26

This article presents the design of a web-based knowledge management system as a training and research tool for the exploration of key relationships between Western and Traditional Chinese Medicine, in order to facilitate relational medical diagnosis integrating these mainstream healing modalities. The main goal of this system is to facilitate decision-making processes, while developing skills and creating new medical knowledge. Traditional Chinese Medicine can be considered as an ancient relational knowledge-based approach, focusing on balancing interrelated human functions to reach a healthy state. Western Medicine focuses on specialties and body systems and has achieved advanced methods to evaluate the impact of a health disorder on the body functions. Identifying key relationships between Traditional Chinese and Western Medicine opens new approaches for health care practices and can increase the understanding of human medical conditions. Our knowledge management system was designed from initial datasets of symptoms, known diagnosis and treatments, collected from both medicines. The datasets were subjected to process-oriented analysis, hierarchical knowledge representation and relational database interconnection. Web technology was implemented to develop a user-friendly interface, for easy navigation, training and research. Our system was prototyped with a case study on chronic prostatitis. This trial presented the system's capability for users to learn the correlation approach, connecting knowledge in Western and Traditional Chinese Medicine by querying the database, mapping validated medical information, accessing complementary information from official sites, and creating new knowledge as part of the learning process. By addressing the challenging tasks of data acquisition and modeling, organization, storage and transfer, the proposed web-based knowledge management system is presented as a tool for users in medical training and research to explore, learn and update relational information for the practice of integrated medical diagnosis. This proposal in education has the potential to enable further creation of medical knowledge from both Traditional Chinese and Western Medicine for improved care providing. The presented system positively improves the information visualization, learning process and knowledge sharing, for training and development of new skills for diagnosis and treatment, and a better understanding of medical diseases. © IMechE 2016.

Faster, efficient and secure collection of research images: the utilization of cloud technology to expand the OMI-DB

NASA Astrophysics Data System (ADS)

Patel, M. N.; Young, K.; Halling-Brown, M. D.

2018-03-01

The demand for medical images for research is ever increasing owing to the rapid rise in novel machine learning approaches for early detection and diagnosis. The OPTIMAM Medical Image Database (OMI-DB)1,2 was created to provide a centralized, fully annotated dataset for research. The database contains both processed and unprocessed images, associated data, annotations and expert-determined ground truths. Since the inception of the database in early 2011, the volume of images and associated data collected has dramatically increased owing to automation of the collection pipeline and inclusion of new sites. Currently, these data are stored at each respective collection site and synced periodically to a central store. This leads to a large data footprint at each site, requiring large physical onsite storage, which is expensive. Here, we propose an update to the OMI-DB collection system, whereby the storage of all the data is automatically transferred to the cloud on collection. This change in the data collection paradigm reduces the reliance of physical servers at each site; allows greater scope for future expansion; and removes the need for dedicated backups and improves security. Moreover, with the number of applications to access the data increasing rapidly with the maturity of the dataset cloud technology facilities faster sharing of data and better auditing of data access. Such updates, although may sound trivial; require substantial modification to the existing pipeline to ensure data integrity and security compliance. Here, we describe the extensions to the OMI-DB collection pipeline and discuss the relative merits of the new system.

Next-Generation Sequencing for Infectious Disease Diagnosis and Management: A Report of the Association for Molecular Pathology.

PubMed

Lefterova, Martina I; Suarez, Carlos J; Banaei, Niaz; Pinsky, Benjamin A

2015-11-01

Next-generation sequencing (NGS) technologies are increasingly being used for diagnosis and monitoring of infectious diseases. Herein, we review the application of NGS in clinical microbiology, focusing on genotypic resistance testing, direct detection of unknown disease-associated pathogens in clinical specimens, investigation of microbial population diversity in the human host, and strain typing. We have organized the review into three main sections: i) applications in clinical virology, ii) applications in clinical bacteriology, mycobacteriology, and mycology, and iii) validation, quality control, and maintenance of proficiency. Although NGS holds enormous promise for clinical infectious disease testing, many challenges remain, including automation, standardizing technical protocols and bioinformatics pipelines, improving reference databases, establishing proficiency testing and quality control measures, and reducing cost and turnaround time, all of which would be necessary for widespread adoption of NGS in clinical microbiology laboratories. Copyright © 2015 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

Sexual dysfunction in 2013: Advances in epidemiology, diagnosis and treatment.

PubMed

Lee, King Chien Joe; Fahmy, Nader; Brock, Gerald B

2013-09-01

To provide a contemporary review of the epidemiology, diagnosis and treatment of premature ejaculation (PE) and erectile dysfunction (ED). We searched for English-language articles published in the past 12 months using the PubMed database. Relevant articles on the subjects of sexual dysfunction, ED and PE were selected for review. Recent studies on male sexual dysfunction have provided new therapeutic possibilities. Tramadol, a well-used analgesic, has a new role in the treatment of PE. Super-selective targeting of dorsal penile nerves by surgery or cryoablative technologies might become a viable treatment option for refractory PE in the future. The role of ED as a harbinger of important comorbidities allows for the early detection and intervention of these conditions, which can optimise therapeutic outcomes. The long-term effect of chronic phosphodiesterase-5 inhibitors on endothelial dysfunction, the angiogenic potential of low-intensity extracorporeal shock wave therapy, and further advances in drug-eluting endovascular stents might in future allow clinicians to treat ED more definitively.

Machine Learning for Knowledge Extraction from PHR Big Data.

PubMed

Poulymenopoulou, Michaela; Malamateniou, Flora; Vassilacopoulos, George

2014-01-01

Cloud computing, Internet of things (IOT) and NoSQL database technologies can support a new generation of cloud-based PHR services that contain heterogeneous (unstructured, semi-structured and structured) patient data (health, social and lifestyle) from various sources, including automatically transmitted data from Internet connected devices of patient living space (e.g. medical devices connected to patients at home care). The patient data stored in such PHR systems constitute big data whose analysis with the use of appropriate machine learning algorithms is expected to improve diagnosis and treatment accuracy, to cut healthcare costs and, hence, to improve the overall quality and efficiency of healthcare provided. This paper describes a health data analytics engine which uses machine learning algorithms for analyzing cloud based PHR big health data towards knowledge extraction to support better healthcare delivery as regards disease diagnosis and prognosis. This engine comprises of the data preparation, the model generation and the data analysis modules and runs on the cloud taking advantage from the map/reduce paradigm provided by Apache Hadoop.

Next Steps After Your Diagnosis: Finding Information and Support

MedlinePlus

... Scientific Peer Review Award Process Post-Award Grant Management AHRQ Grantee Profiles Getting Recognition for Your AHRQ-Funded Study Contracts Project Research Online Database (PROD) Searchable database of AHRQ ...

Development of a networked four-million-pixel pathological and radiological digital image presentation system and its application to medical conferences

NASA Astrophysics Data System (ADS)

Sakano, Toshikazu; Furukawa, Isao; Okumura, Akira; Yamaguchi, Takahiro; Fujii, Tetsuro; Ono, Sadayasu; Suzuki, Junji; Matsuya, Shoji; Ishihara, Teruo

2001-08-01

The wide spread of digital technology in the medical field has led to a demand for the high-quality, high-speed, and user-friendly digital image presentation system in the daily medical conferences. To fulfill this demand, we developed a presentation system for radiological and pathological images. It is composed of a super-high-definition (SHD) imaging system, a radiological image database (R-DB), a pathological image database (P-DB), and the network interconnecting these three. The R-DB consists of a 270GB RAID, a database server workstation, and a film digitizer. The P-DB includes an optical microscope, a four-million-pixel digital camera, a 90GB RAID, and a database server workstation. A 100Mbps Ethernet LAN interconnects all the sub-systems. The Web-based system operation software was developed for easy operation. We installed the whole system in NTT East Kanto Hospital to evaluate it in the weekly case conferences. The SHD system could display digital full-color images of 2048 x 2048 pixels on a 28-inch CRT monitor. The doctors evaluated the image quality and size, and found them applicable to the actual medical diagnosis. They also appreciated short image switching time that contributed to smooth presentation. Thus, we confirmed that its characteristics met the requirements.

Factors Affecting Age at ASD Diagnosis in UK: No Evidence That Diagnosis Age Has Decreased between 2004 and 2014

ERIC Educational Resources Information Center

Brett, Denise; Warnell, Frances; McConachie, Helen; Parr, Jeremy R.

2016-01-01

Clinical initiatives have aimed to reduce the age at ASD diagnosis in the UK. This study investigated whether the median age at diagnosis in childhood has reduced in recent years, and identified the factors associated with earlier diagnosis in the UK. Data on 2,134 children with ASD came from two large family databases. Results showed that the age…

D Textured Modelling of both Exterior and Interior of Korean Styled Architectures

NASA Astrophysics Data System (ADS)

Lee, J.-D.; Bhang, K.-J.; Schuhr, W.

2017-08-01

This paper describes 3D modelling procedure of two Korean styled architectures which were performed through a series of processing from data acquired with the terrestrial laser scanner. These two case projects illustate the use of terrestrial laser scanner as a digital documentation tool for management, conservation and restoration of the cultural assets. We showed an approach to automate reconstruction of both the outside and inside models of a building from laser scanning data. Laser scanning technology is much more efficient than existing photogrammetry in measuring shape and constructing spatial database for preservation and restoration of cultural assets as well as for deformation monitoring and safety diagnosis of structures.

The Technology Education Graduate Research Database, 1892-2000. CTTE Monograph.

ERIC Educational Resources Information Center

Reed, Philip A., Ed.

The Technology Education Graduate Research Database (TEGRD) was designed in two parts. The first part was a 384 page bibliography of theses and dissertations from 1892-2000. The second part was an online, searchable database of graduate research completed within technology education from 1892 to the present. The primary goals of the project were:…

The Impact and Cost of Scaling up GeneXpert MTB/RIF in South Africa

PubMed Central

Meyer-Rath, Gesine; Schnippel, Kathryn; Long, Lawrence; MacLeod, William; Sanne, Ian; Stevens, Wendy; Pillay, Sagie; Pillay, Yogan; Rosen, Sydney

2012-01-01

Objective We estimated the incremental cost and impact on diagnosis and treatment uptake of national rollout of Xpert MTB/RIF technology (Xpert) for the diagnosis of pulmonary TB above the cost of current guidelines for the years 2011 to 2016 in South Africa. Methods We parameterised a population-level decision model with data from national-level TB databases (n = 199,511) and implementation studies. The model follows cohorts of TB suspects from diagnosis to treatment under current diagnostic guidelines or an algorithm that includes Xpert. Assumptions include the number of TB suspects, symptom prevalence of 5.5%, annual suspect growth rate of 10%, and 2010 public-sector salaries and drug and service delivery costs. Xpert test costs are based on data from an in-country pilot evaluation and assumptions about when global volumes allowing cartridge discounts will be reached. Results At full scale, Xpert will increase the number of TB cases diagnosed per year by 30%–37% and the number of MDR-TB cases diagnosed by 69%–71%. It will diagnose 81% of patients after the first visit, compared to 46% currently. The cost of TB diagnosis per suspect will increase by 55% to USD 60–61 and the cost of diagnosis and treatment per TB case treated by 8% to USD 797–873. The incremental capital cost of the Xpert scale-up will be USD 22 million and the incremental recurrent cost USD 287–316 million over six years. Conclusion Xpert will increase both the number of TB cases diagnosed and treated and the cost of TB diagnosis. These results do not include savings due to reduced transmission of TB as a result of earlier diagnosis and treatment initiation. PMID:22693561

Systemic inaccuracies in the National Surgical Quality Improvement Program database: Implications for accuracy and validity for neurosurgery outcomes research.

PubMed

Rolston, John D; Han, Seunggu J; Chang, Edward F

2017-03-01

The American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) provides a rich database of North American surgical procedures and their complications. Yet no external source has validated the accuracy of the information within this database. Using records from the 2006 to 2013 NSQIP database, we used two methods to identify errors: (1) mismatches between the Current Procedural Terminology (CPT) code that was used to identify the surgical procedure, and the International Classification of Diseases (ICD-9) post-operative diagnosis: i.e., a diagnosis that is incompatible with a certain procedure. (2) Primary anesthetic and CPT code mismatching: i.e., anesthesia not indicated for a particular procedure. Analyzing data for movement disorders, epilepsy, and tumor resection, we found evidence of CPT code and postoperative diagnosis mismatches in 0.4-100% of cases, depending on the CPT code examined. When analyzing anesthetic data from brain tumor, epilepsy, trauma, and spine surgery, we found evidence of miscoded anesthesia in 0.1-0.8% of cases. National databases like NSQIP are an important tool for quality improvement. Yet all databases are subject to errors, and measures of internal consistency show that errors affect up to 100% of case records for certain procedures in NSQIP. Steps should be taken to improve data collection on the frontend of NSQIP, and also to ensure that future studies with NSQIP take steps to exclude erroneous cases from analysis. Copyright © 2016 Elsevier Ltd. All rights reserved.

Public variant databases: liability?

PubMed

Thorogood, Adrian; Cook-Deegan, Robert; Knoppers, Bartha Maria

2017-07-01

Public variant databases support the curation, clinical interpretation, and sharing of genomic data, thus reducing harmful errors or delays in diagnosis. As variant databases are increasingly relied on in the clinical context, there is concern that negligent variant interpretation will harm patients and attract liability. This article explores the evolving legal duties of laboratories, public variant databases, and physicians in clinical genomics and recommends a governance framework for databases to promote responsible data sharing.Genet Med advance online publication 15 December 2016.

Evolution of Database Replication Technologies for WLCG

NASA Astrophysics Data System (ADS)

Baranowski, Zbigniew; Lobato Pardavila, Lorena; Blaszczyk, Marcin; Dimitrov, Gancho; Canali, Luca

2015-12-01

In this article we summarize several years of experience on database replication technologies used at WLCG and we provide a short review of the available Oracle technologies and their key characteristics. One of the notable changes and improvement in this area in recent past has been the introduction of Oracle GoldenGate as a replacement of Oracle Streams. We report in this article on the preparation and later upgrades for remote replication done in collaboration with ATLAS and Tier 1 database administrators, including the experience from running Oracle GoldenGate in production. Moreover, we report on another key technology in this area: Oracle Active Data Guard which has been adopted in several of the mission critical use cases for database replication between online and offline databases for the LHC experiments.

[The Brazilian Hospital Information System and the acute myocardial infarction hospital care].

PubMed

Escosteguy, Claudia Caminha; Portela, Margareth Crisóstomo; Medronho, Roberto de Andrade; de Vasconcellos, Maurício Teixeira Leite

2002-08-01

To analyze the applicability of the Brazilian Unified Health System's national hospital database to evaluate the quality of acute myocardial infarction hospital care. It was evaluated 1,936 hospital admission forms having acute myocardial infarction (AMI) as primary diagnosis in the municipal district of Rio de Janeiro, Brazil, in 1997. Data was collected from the national hospital database. A stratified random sampling of 391 medical records was also evaluated. AMI diagnosis agreement followed the literature criteria. Variable accuracy analysis was performed using kappa index agreement. The quality of AMI diagnosis registered in hospital admission forms was satisfactory according to the gold standard of the literature. In general, the accuracy of the variables demographics (sex, age group), process (medical procedures and interventions), and outcome (hospital death) was satisfactory. The accuracy of demographics and outcome variables was higher than the one of process variables. Under registration of secondary diagnosis was high in the forms and it was the main limiting factor. Given the study findings and the widespread availability of the national hospital database, it is pertinent its use as an instrument in the evaluation of the quality of AMI medical care.

Using bibliographic databases in technology transfer

NASA Technical Reports Server (NTRS)

Huffman, G. David

1987-01-01

When technology developed for a specific purpose is used in another application, the process is called technology transfer--the application of an existing technology to a new use or user for purposes other than those for which the technology was originally intended. Using Bibliographical Databases in Technology Transfer deals with demand-pull transfer, technology transfer that arises from need recognition, and is a guide for conducting demand-pull technology transfer studies. It can be used by a researcher as a self-teaching manual or by an instructor as a classroom text. A major problem of technology transfer is finding applicable technology to transfer. Described in detail is the solution to this problem, the use of computerized, bibliographic databases, which currently contain virtually all documented technology of the past 15 years. A general framework for locating technology is described. NASA technology organizations and private technology transfer firms are listed for consultation.

Electronic medical record: research tool for pancreatic cancer?

PubMed

Arous, Edward J; McDade, Theodore P; Smith, Jillian K; Ng, Sing Chau; Sullivan, Mary E; Zottola, Ralph J; Ranauro, Paul J; Shah, Shimul A; Whalen, Giles F; Tseng, Jennifer F

2014-04-01

A novel data warehouse based on automated retrieval from an institutional health care information system (HIS) was made available to be compared with a traditional prospectively maintained surgical database. A newly established institutional data warehouse at a single-institution academic medical center autopopulated by HIS was queried for International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) diagnosis codes for pancreatic neoplasm. Patients with ICD-9-CM diagnosis codes for pancreatic neoplasm were captured. A parallel query was performed using a prospective database populated by manual entry. Duplicated patients and those unique to either data set were identified. All patients were manually reviewed to determine the accuracy of diagnosis. A total of 1107 patients were identified from the HIS-linked data set with pancreatic neoplasm from 1999-2009. Of these, 254 (22.9%) patients were also captured by the surgical database, whereas 853 (77.1%) patients were only in the HIS-linked data set. Manual review of the HIS-only group demonstrated that 45.0% of patients were without identifiable pancreatic pathology, suggesting erroneous capture, whereas 36.3% of patients were consistent with pancreatic neoplasm and 18.7% with other pancreatic pathology. Of the 394 patients identified by the surgical database, 254 (64.5%) patients were captured by HIS, whereas 140 (35.5%) patients were not. Manual review of patients only captured by the surgical database demonstrated 85.9% with pancreatic neoplasm and 14.1% with other pancreatic pathology. Finally, review of the 254 patient overlap demonstrated that 80.3% of patients had pancreatic neoplasm and 19.7% had other pancreatic pathology. These results suggest that cautious interpretation of administrative data rely only on ICD-9-CM diagnosis codes and clinical correlation through previously validated mechanisms. Published by Elsevier Inc.

Automated database-guided expert-supervised orientation for immunophenotypic diagnosis and classification of acute leukemia

PubMed Central

Lhermitte, L; Mejstrikova, E; van der Sluijs-Gelling, A J; Grigore, G E; Sedek, L; Bras, A E; Gaipa, G; Sobral da Costa, E; Novakova, M; Sonneveld, E; Buracchi, C; de Sá Bacelar, T; te Marvelde, J G; Trinquand, A; Asnafi, V; Szczepanski, T; Matarraz, S; Lopez, A; Vidriales, B; Bulsa, J; Hrusak, O; Kalina, T; Lecrevisse, Q; Martin Ayuso, M; Brüggemann, M; Verde, J; Fernandez, P; Burgos, L; Paiva, B; Pedreira, C E; van Dongen, J J M; Orfao, A; van der Velden, V H J

2018-01-01

Precise classification of acute leukemia (AL) is crucial for adequate treatment. EuroFlow has previously designed an AL orientation tube (ALOT) to guide towards the relevant classification panel (T-cell acute lymphoblastic leukemia (T-ALL), B-cell precursor (BCP)-ALL and/or acute myeloid leukemia (AML)) and final diagnosis. Now we built a reference database with 656 typical AL samples (145 T-ALL, 377 BCP-ALL, 134 AML), processed and analyzed via standardized protocols. Using principal component analysis (PCA)-based plots and automated classification algorithms for direct comparison of single-cells from individual patients against the database, another 783 cases were subsequently evaluated. Depending on the database-guided results, patients were categorized as: (i) typical T, B or Myeloid without or; (ii) with a transitional component to another lineage; (iii) atypical; or (iv) mixed-lineage. Using this automated algorithm, in 781/783 cases (99.7%) the right panel was selected, and data comparable to the final WHO-diagnosis was already provided in >93% of cases (85% T-ALL, 97% BCP-ALL, 95% AML and 87% mixed-phenotype AL patients), even without data on the full-characterization panels. Our results show that database-guided analysis facilitates standardized interpretation of ALOT results and allows accurate selection of the relevant classification panels, hence providing a solid basis for designing future WHO AL classifications. PMID:29089646

Use of diagnostic information submitted to the United Kingdom Central Cardiac Audit Database: development of categorisation and allocation algorithms.

PubMed

Brown, Kate L; Crowe, Sonya; Pagel, Christina; Bull, Catherine; Muthialu, Nagarajan; Gibbs, John; Cunningham, David; Utley, Martin; Tsang, Victor T; Franklin, Rodney

2013-08-01

To categorise records according to primary cardiac diagnosis in the United Kingdom Central Cardiac Audit Database in order to add this information to a risk adjustment model for paediatric cardiac surgery. Codes from the International Paediatric Congenital Cardiac Code were mapped to recognisable primary cardiac diagnosis groupings, allocated using a hierarchy and less refined diagnosis groups, based on the number of functional ventricles and presence of aortic obstruction. A National Clinical Audit Database. Patients Children undergoing cardiac interventions: the proportions for each diagnosis scheme are presented for 13,551 first patient surgical episodes since 2004. In Scheme 1, the most prevalent diagnoses nationally were ventricular septal defect (13%), patent ductus arteriosus (10.4%), and tetralogy of Fallot (9.5%). In Scheme 2, the prevalence of a biventricular heart without aortic obstruction was 64.2% and with aortic obstruction was 14.1%; the prevalence of a functionally univentricular heart without aortic obstruction was 4.3% and with aortic obstruction was 4.7%; the prevalence of unknown (ambiguous) number of ventricles was 8.4%; and the prevalence of acquired heart disease only was 2.2%. Diagnostic groups added to procedural information: of the 17% of all operations classed as "not a specific procedure", 97.1% had a diagnosis identified in Scheme 1 and 97.2% in Scheme 2. Diagnostic information adds to surgical procedural data when the complexity of case mix is analysed in a national database. These diagnostic categorisation schemes may be used for future investigation of the frequency of conditions and evaluation of long-term outcome over a series of procedures.

[Application of three-dimensional digital technology in the diagnosis and treatment planning in orthodontics].

PubMed

Bai, Y X

2016-06-01

Three-dimensional(3D)digital technology has been widely used in the field of orthodontics in clinical examination, diagnosis, treatment and curative effect evaluation. 3D digital technology greatly improves the accuracy of diagnosis and treatment, and provides effective means for personalized orthodontic treatment. This review focuses on the application of 3D digital technology in the field of orthodontics.

The mini mental state examination at the time of Alzheimer's disease and related disorders diagnosis, according to age, education, gender and place of residence: a cross-sectional study among the French National Alzheimer database.

PubMed

Pradier, Christian; Sakarovitch, Charlotte; Le Duff, Franck; Layese, Richard; Metelkina, Asya; Anthony, Sabine; Tifratene, Karim; Robert, Philippe

2014-01-01

was firstly to describe the MMSE (Mini-Mental State Examination) score upon initial diagnosis of Alzheimer's disease and related disorders among the French population, according to age. Secondly, education, gender and place of residence were studied as factors potentially associated with delayed Alzheimer's disease diagnosis. we conducted a cross sectional analysis of the French National Alzheimer database (BNA). Data from 2008 to 2012 were extracted. Patients were selected at the moment of their first diagnosis of AD (n = 39,451). The MMSE score at initial diagnosis dropped significantly with increasing age. The test score increased with the degree of educational background regardless of age. Gender and place of residence were significantly related to the MMSE score, women and persons living in medical institutions having lower MMSE scores under the age of 90 years and at all educational levels. Health care professionals should be aware of these risk factors in order to maximize chances of earliest possible diagnosis of Alzheimer's disease and related disorders.

[Molecular diagnosis and hematopoietic stem cell transplantation in 17 children with inherited bone marrow failure syndrome].

PubMed

Li, Qian; Li, Benshang; Luo, Changying; Wang, Jianmin; Luo, Chengjuan; Ding, Lixia; Chen, Jing

2015-11-01

To enrich our national database with data of rare diseases by analyzing molecular diagnosis and hematopoietic stem cell transplantation (HSCT) in children with inherited bone marrow failure syndromes (IBMFS). Next-generation sequencing (NGS)-based genetic diagnosis panel was applied for the clinical diagnosis and management of IBMFS. Retrospective analysis was performed on clinical and genetic data of 17 consecutive children who received HSCT over a long time interval (November. 2005-June 2015). Three patients were diagnosed only by clinical manifestation before 2012. After that NGS-based genetic diagnosis panel was used to identify IBMFS-related genes in 12/14.IBMFS patients (except two Diamond-Blackfan anemia (DBA) patients). Two Fanconi anemia (FA) patients were confirmed to be new variations through family-genotype-analysis and 3 families accepted prenatal diagnosis to avoid birth of affected fetuses. Seventeen IBMFS patients (10 FA,5 DBA and 2 dyskeratosis congenital (DKC)) were treated with HSCT from matched sibling donors (n=2), matched unrelated donors (n=8) or mismatched unrelated donors (n=7). The source of stem cells for transplantation included peripheral blood (n=12) and cord blood (n=5). With regard to the conditioning regimens, FA and DKC patients received fludarabine-based reduced intensity conditioning, while DBA patients received classical busulfan-based myeloablative conditioning. Median age at the time of HSCT was 36 months (7-156 months). The number of infused mononuclear cells and CD34⁺ cells was (10.6 ± 6.7) × 10⁸ and (5.9 ± 7.0) × 10⁶ per kilogram of recipient body weight, respectively. The median number of days to neutrophil recovery was 13 days after HSCT (range: 10-19 days). Platelet recovery was faster in the PBSCT group than in the CBT group ((16.3 ± 6.0) days vs. (30.0 ± 17.1) days,t=-2.487,P=0.026). During a median follow-up of 17 months (range: 2-114 months), except one FA patient who was transplanted with HLA-matched unrelated cord blood (CB) died from pneumonia and heart failure because of engraftment failure, other 16 children are alive after the successful HSCT. The failure-free survival rate of the patients three years after HSCT was 94%. NGS-based molecular diagnosis technology and effective HSCT have significantly facilitated the treatment of children with IBMFS in our country, and our national database about this rare disease is to be further exploited.

"Mr. Database" : Jim Gray and the History of Database Technologies.

PubMed

Hanwahr, Nils C

2017-12-01

Although the widespread use of the term "Big Data" is comparatively recent, it invokes a phenomenon in the developments of database technology with distinct historical contexts. The database engineer Jim Gray, known as "Mr. Database" in Silicon Valley before his disappearance at sea in 2007, was involved in many of the crucial developments since the 1970s that constitute the foundation of exceedingly large and distributed databases. Jim Gray was involved in the development of relational database systems based on the concepts of Edgar F. Codd at IBM in the 1970s before he went on to develop principles of Transaction Processing that enable the parallel and highly distributed performance of databases today. He was also involved in creating forums for discourse between academia and industry, which influenced industry performance standards as well as database research agendas. As a co-founder of the San Francisco branch of Microsoft Research, Gray increasingly turned toward scientific applications of database technologies, e. g. leading the TerraServer project, an online database of satellite images. Inspired by Vannevar Bush's idea of the memex, Gray laid out his vision of a Personal Memex as well as a World Memex, eventually postulating a new era of data-based scientific discovery termed "Fourth Paradigm Science". This article gives an overview of Gray's contributions to the development of database technology as well as his research agendas and shows that central notions of Big Data have been occupying database engineers for much longer than the actual term has been in use.

In Silico PCR Tools for a Fast Primer, Probe, and Advanced Searching.

PubMed

Kalendar, Ruslan; Muterko, Alexandr; Shamekova, Malika; Zhambakin, Kabyl

2017-01-01

The polymerase chain reaction (PCR) is fundamental to molecular biology and is the most important practical molecular technique for the research laboratory. The principle of this technique has been further used and applied in plenty of other simple or complex nucleic acid amplification technologies (NAAT). In parallel to laboratory "wet bench" experiments for nucleic acid amplification technologies, in silico or virtual (bioinformatics) approaches have been developed, among which in silico PCR analysis. In silico NAAT analysis is a useful and efficient complementary method to ensure the specificity of primers or probes for an extensive range of PCR applications from homology gene discovery, molecular diagnosis, DNA fingerprinting, and repeat searching. Predicting sensitivity and specificity of primers and probes requires a search to determine whether they match a database with an optimal number of mismatches, similarity, and stability. In the development of in silico bioinformatics tools for nucleic acid amplification technologies, the prospects for the development of new NAAT or similar approaches should be taken into account, including forward-looking and comprehensive analysis that is not limited to only one PCR technique variant. The software FastPCR and the online Java web tool are integrated tools for in silico PCR of linear and circular DNA, multiple primer or probe searches in large or small databases and for advanced search. These tools are suitable for processing of batch files that are essential for automation when working with large amounts of data. The FastPCR software is available for download at http://primerdigital.com/fastpcr.html and the online Java version at http://primerdigital.com/tools/pcr.html .

Impact of endometriosis on in vitro fertilization outcomes: an evaluation of the Society for Assisted Reproductive Technologies Database.

PubMed

Senapati, Suneeta; Sammel, Mary D; Morse, Christopher; Barnhart, Kurt T

2016-07-01

To assess the impact of endometriosis, alone or in combination with other infertility diagnoses, on IVF outcomes. Population-based retrospective cohort study of cycles from the Society for Assisted Reproductive Technology Clinic Outcome Reporting System database. Not applicable. A total of 347,185 autologous fresh and frozen assisted reproductive technology cycles from the period 2008-2010. None. Oocyte yield, implantation rate, live birth rate. Although cycles of patients with endometriosis constituted 11% of the study sample, the majority (64%) reported a concomitant diagnosis, with male factor (42%), tubal factor (29%), and diminished ovarian reserve (22%) being the most common. Endometriosis, when isolated or with concomitant diagnoses, was associated with lower oocyte yield compared with those with unexplained infertility, tubal factor, and all other infertility diagnoses combined. Women with isolated endometriosis had similar or higher live birth rates compared with those in other diagnostic groups. However, women with endometriosis with concomitant diagnoses had lower implantation rates and live birth rates compared with unexplained infertility, tubal factor, and all other diagnostic groups. Endometriosis is associated with lower oocyte yield, lower implantation rates, and lower pregnancy rates after IVF. However, the association of endometriosis and IVF outcomes is confounded by other infertility diagnoses. Endometriosis, when associated with other alterations in the reproductive tract, has the lowest chance of live birth. In contrast, for the minority of women who have endometriosis in isolation, the live birth rate is similar or slightly higher compared with other infertility diagnoses. Copyright © 2016. Published by Elsevier Inc.

Software development, nomenclature schemes, and mapping strategies for an international pediatric cardiac surgery database system.

PubMed

Jacobs, Jeffrey P

2002-01-01

The field of congenital heart surgery has the opportunity to create the first comprehensive international database for a medical subspecialty. An understanding of the demographics of congenital heart disease and the rapid growth of computer technology leads to the realization that creating a comprehensive international database for pediatric cardiac surgery represents an important and achievable goal. The evolution of computer-based data analysis creates an opportunity to develop software to manage an international congenital heart surgery database and eventually become an electronic medical record. The same database data set for congenital heart surgery is now being used in Europe and North America. Additional work is under way to involve Africa, Asia, Australia, and South America. The almost simultaneous publication of the European Association for Cardio-thoracic Surgery/Society of Thoracic Surgeons coding system and the Association for European Paediatric Cardiology coding system resulted in the potential for multiple coding. Representatives of the Association for European Paediatric Cardiology, Society of Thoracic Surgeons, European Association for Cardio-thoracic Surgery, and European Congenital Heart Surgeons Foundation agree that these hierarchical systems are complementary and not competitive. An international committee will map the two systems. The ideal coding system will permit a diagnosis or procedure to be coded only one time with mapping allowing this code to be used for patient care, billing, practice management, teaching, research, and reporting to governmental agencies. The benefits of international data gathering and sharing are global, with the long-term goal of the continued upgrade in the quality of congenital heart surgery worldwide. Copyright 2002 by W.B. Saunders Company

Public variant databases: liability?

PubMed Central

Thorogood, Adrian; Cook-Deegan, Robert; Knoppers, Bartha Maria

2017-01-01

Public variant databases support the curation, clinical interpretation, and sharing of genomic data, thus reducing harmful errors or delays in diagnosis. As variant databases are increasingly relied on in the clinical context, there is concern that negligent variant interpretation will harm patients and attract liability. This article explores the evolving legal duties of laboratories, public variant databases, and physicians in clinical genomics and recommends a governance framework for databases to promote responsible data sharing. Genet Med advance online publication 15 December 2016 PMID:27977006

Architecture Knowledge for Evaluating Scalable Databases

DTIC Science & Technology

2015-01-16

problems, arising from the proliferation of new data models and distributed technologies for building scalable, available data stores . Architects must...longer are relational databases the de facto standard for building data repositories. Highly distributed, scalable “ NoSQL ” databases [11] have emerged...This is especially challenging at the data storage layer. The multitude of competing NoSQL database technologies creates a complex and rapidly

An Energy efficient application specific integrated circuit for electrocardiogram feature detection and its potential for ambulatory cardiovascular disease detection

PubMed Central

Bhaumik, Basabi

2016-01-01

A novel algorithm based on forward search is developed for real-time electrocardiogram (ECG) signal processing and implemented in application specific integrated circuit (ASIC) for QRS complex related cardiovascular disease diagnosis. The authors have evaluated their algorithm using MIT-BIH database and achieve sensitivity of 99.86% and specificity of 99.93% for QRS complex peak detection. In this Letter, Physionet PTB diagnostic ECG database is used for QRS complex related disease detection. An ASIC for cardiovascular disease detection is fabricated using 130-nm CMOS high-speed process technology. The area of the ASIC is 0.5 mm2. The power dissipation is 1.73 μW at the operating frequency of 1 kHz with a supply voltage of 0.6 V. The output from the ASIC is fed to their Android application that generates diagnostic report and can be sent to a cardiologist through email. Their ASIC result shows average failed detection rate of 0.16% for six leads data of 290 patients in PTB diagnostic ECG database. They also have implemented a low-leakage version of their ASIC. The ASIC dissipates only 45 pJ with a supply voltage of 0.9 V. Their proposed ASIC is most suitable for energy efficient telemetry cardiovascular disease detection system. PMID:27284458

An Energy efficient application specific integrated circuit for electrocardiogram feature detection and its potential for ambulatory cardiovascular disease detection.

PubMed

Jain, Sanjeev Kumar; Bhaumik, Basabi

2016-03-01

A novel algorithm based on forward search is developed for real-time electrocardiogram (ECG) signal processing and implemented in application specific integrated circuit (ASIC) for QRS complex related cardiovascular disease diagnosis. The authors have evaluated their algorithm using MIT-BIH database and achieve sensitivity of 99.86% and specificity of 99.93% for QRS complex peak detection. In this Letter, Physionet PTB diagnostic ECG database is used for QRS complex related disease detection. An ASIC for cardiovascular disease detection is fabricated using 130-nm CMOS high-speed process technology. The area of the ASIC is 0.5 mm(2). The power dissipation is 1.73 μW at the operating frequency of 1 kHz with a supply voltage of 0.6 V. The output from the ASIC is fed to their Android application that generates diagnostic report and can be sent to a cardiologist through email. Their ASIC result shows average failed detection rate of 0.16% for six leads data of 290 patients in PTB diagnostic ECG database. They also have implemented a low-leakage version of their ASIC. The ASIC dissipates only 45 pJ with a supply voltage of 0.9 V. Their proposed ASIC is most suitable for energy efficient telemetry cardiovascular disease detection system.

[Sequencing technology in gene diagnosis and its application].

PubMed

Yibin, Guo

2014-11-01

The study of gene mutation is one of the hot topics in the field of life science nowadays, and the related detection methods and diagnostic technology have been developed rapidly. Sequencing technology plays an indispensable role in the definite diagnosis and classification of genetic diseases. In this review, we summarize the research progress in sequencing technology, evaluate the advantages and disadvantages of 1(st) ~3(rd) generation of sequencing technology, and describe its application in gene diagnosis. Also we made forecasts and prospects on its development trend.

Features and application of wearable biosensors in medical care

PubMed Central

Ajami, Sima; Teimouri, Fotooheh

2015-01-01

One of the new technologies in the field of health is wearable biosensor, which provides vital signs monitoring of patients, athletes, premature infants, children, psychiatric patients, people who need long-term care, elderly, and people in impassable regions far from health and medical services. The aim of this study was to explain features and applications of wearable biosensors in medical services. This was a narrative review study that done in 2015. Search conducted with the help of libraries, books, conference proceedings, through databases of Science Direct, PubMed, Proquest, Springer, and SID (Scientific Information Database). In our searches, we employed the following keywords and their combinations; vital sign monitoring, medical smart shirt, smart clothing, wearable biosensors, physiological monitoring system, remote detection systems, remote control health, and bio-monitoring system. The preliminary search resulted in 54 articles, which published between 2002 and 2015. After a careful analysis of the content of each paper, 41 sources selected based on their relevancy. Although the use of wearable in healthcare is still in an infant stage, it could have a magic effect on healthcare. Smart wearable in the technology industry for 2015 is one that is looking to be a big and profitable market. Wearable biosensors capable of continuous vital signs monitoring and feedback to the user will be significantly effective in timely prevention, diagnosis, treatment, and control of diseases. PMID:26958058

The accuracy of International Classification of Diseases coding for dental problems not associated with trauma in a hospital emergency department.

PubMed

Figueiredo, Rafael L F; Singhal, Sonica; Dempster, Laura; Hwang, Stephen W; Quinonez, Carlos

2015-01-01

Emergency department (ED) visits for nontraumatic dental conditions (NTDCs) may be a sign of unmet need for dental care. The objective of this study was to determine the accuracy of the International Classification of Diseases codes (ICD-10-CA) for ED visits for NTDC. ED visits in 2008-2099 at one hospital in Toronto were identified if the discharge diagnosis in the administrative database system was an ICD-10-CA code for a NTDC (K00-K14). A random sample of 100 visits was selected, and the medical records for these visits were reviewed by a dentist. The description of the clinical signs and symptoms were evaluated, and a diagnosis was assigned. This diagnosis was compared with the diagnosis assigned by the physician and the code assigned to the visit. The 100 ED visits reviewed were associated with 16 different ICD-10-CA codes for NTDC. Only 2 percent of these visits were clearly caused by trauma. The code K0887 (toothache) was the most frequent diagnostic code (31 percent). We found 43.3 percent disagreement on the discharge diagnosis reported by the physician, and 58.0 percent disagreement on the code in the administrative database assigned by the abstractor, compared with what it was suggested by the dentist reviewing the chart. There are substantial discrepancies between the ICD-10-CA diagnosis assigned in administrative databases and the diagnosis assigned by a dentist reviewing the chart retrospectively. However, ICD-10-CA codes can be used to accurately identify ED visits for NTDC. © 2015 American Association of Public Health Dentistry.

A New Approach To Secure Federated Information Bases Using Agent Technology.

ERIC Educational Resources Information Center

Weippi, Edgar; Klug, Ludwig; Essmayr, Wolfgang

2003-01-01

Discusses database agents which can be used to establish federated information bases by integrating heterogeneous databases. Highlights include characteristics of federated information bases, including incompatible database management systems, schemata, and frequently changing context; software agent technology; Java agents; system architecture;…

EST databases and web tools for EST projects.

PubMed

Shen, Yao-Qing; O'Brien, Emmet; Koski, Liisa; Lang, B Franz; Burger, Gertraud

2009-01-01

This chapter outlines key considerations for constructing and implementing an EST database. Instead of showing the technological details step by step, emphasis is put on the design of an EST database suited to the specific needs of EST projects and how to choose the most suitable tools. Using TBestDB as an example, we illustrate the essential factors to be considered for database construction and the steps for data population and annotation. This process employs technologies such as PostgreSQL, Perl, and PHP to build the database and interface, and tools such as AutoFACT for data processing and annotation. We discuss these in comparison to other available technologies and tools, and explain the reasons for our choices.

Relational Database Technology: An Overview.

ERIC Educational Resources Information Center

Melander, Nicole

1987-01-01

Describes the development of relational database technology as it applies to educational settings. Discusses some of the new tools and models being implemented in an effort to provide educators with technologically advanced ways of answering questions about education programs and data. (TW)

Validation of coding algorithms for the identification of patients hospitalized for alcoholic hepatitis using administrative data.

PubMed

Pang, Jack X Q; Ross, Erin; Borman, Meredith A; Zimmer, Scott; Kaplan, Gilaad G; Heitman, Steven J; Swain, Mark G; Burak, Kelly W; Quan, Hude; Myers, Robert P

2015-09-11

Epidemiologic studies of alcoholic hepatitis (AH) have been hindered by the lack of a validated International Classification of Disease (ICD) coding algorithm for use with administrative data. Our objective was to validate coding algorithms for AH using a hospitalization database. The Hospital Discharge Abstract Database (DAD) was used to identify consecutive adults (≥18 years) hospitalized in the Calgary region with a diagnosis code for AH (ICD-10, K70.1) between 01/2008 and 08/2012. Medical records were reviewed to confirm the diagnosis of AH, defined as a history of heavy alcohol consumption, elevated AST and/or ALT (<300 U/L), serum bilirubin >34 μmol/L, and elevated INR. Subgroup analyses were performed according to the diagnosis field in which the code was recorded (primary vs. secondary) and AH severity. Algorithms that incorporated ICD-10 codes for cirrhosis and its complications were also examined. Of 228 potential AH cases, 122 patients had confirmed AH, corresponding to a positive predictive value (PPV) of 54% (95% CI 47-60%). PPV improved when AH was the primary versus a secondary diagnosis (67% vs. 21%; P < 0.001). Algorithms that included diagnosis codes for ascites (PPV 75%; 95% CI 63-86%), cirrhosis (PPV 60%; 47-73%), and gastrointestinal hemorrhage (PPV 62%; 51-73%) had improved performance, however, the prevalence of these diagnoses in confirmed AH cases was low (29-39%). In conclusion the low PPV of the diagnosis code for AH suggests that caution is necessary if this hospitalization database is used in large-scale epidemiologic studies of this condition.

Pediatric cervicofacial necrotizing fasciitis: a case report and review of a 10-year national pediatric database.

PubMed

King, Ericka; Chun, Robert; Sulman, Cecille

2012-04-01

To present a case of a pediatric cervicofacial necrotizing fasciitis (NF), a rapidly progressive infection, and a review of a 10-year pediatric inpatient database. Case report and review. Pediatric intensive care unit. A healthy 5-year-old male who developed NF of the lower lip 36 hours following minor trauma. International Classification of Diseases, Ninth Revision, code 728.86 (NF), was the inclusion criteria for the Kids' Inpatient Database (KID) in 1997 and 2006. A pediatric case is presented with a thorough photographic record demonstrating the need for rapid diagnosis and treatment. In a review of the KID from 1997 and 2006, the relative risk of being discharged with NF in 2006 vs 1997 was 1.4 (95% CI, 9.95-2.28). Age at diagnosis of NF was older in 2006 compared with 1997 (11.5 years vs 8.05 years; P < .001). Deaths with a diagnosis of NF increased from 1997 compared with 2006: from 3.9% to 5.4%. In 2006, the odds of death were 15.1 times higher in pediatric discharges with a diagnosis of NF compared with discharges without a diagnosis of NF (P < .001; 95% CI, 9.3-23.1). Even with the advent of new treatments and antibiotics, the incidence and death rates of NF have changed little over the past 10 years. While it is still a rare diagnosis, knowledge and awareness of necrotizing fasciitis with aggressive medical and surgical treatment are still the foundation in disease survival.

A Novel Method for Pulsometry Based on Traditional Iranian Medicine

PubMed Central

Yousefipoor, Farzane; Nafisi, Vahidreza

2015-01-01

Arterial pulse measurement is one of the most important methods for evaluation of healthy conditions. In traditional Iranian medicine (TIM), physician may detect radial pulse by holding four fingers on the patient's wrist. By using this method, under standard condition, the detected pulses are subjective and erroneous, in case of weak and/or abnormal pulses, the ambiguity of diagnosis may rise. In this paper, we present an equipment which is designed and implemented for automation of traditional pulse detection method. By this novel system, the developed noninvasive diagnostic method and database based on the TIM are way forward to apply traditional medicine and diagnose patients with present technology. The accuracy for period measuring is 76% and systolic peak is 72%. PMID:26955566

Alternatives to relational database: comparison of NoSQL and XML approaches for clinical data storage.

PubMed

Lee, Ken Ka-Yin; Tang, Wai-Choi; Choi, Kup-Sze

2013-04-01

Clinical data are dynamic in nature, often arranged hierarchically and stored as free text and numbers. Effective management of clinical data and the transformation of the data into structured format for data analysis are therefore challenging issues in electronic health records development. Despite the popularity of relational databases, the scalability of the NoSQL database model and the document-centric data structure of XML databases appear to be promising features for effective clinical data management. In this paper, three database approaches--NoSQL, XML-enabled and native XML--are investigated to evaluate their suitability for structured clinical data. The database query performance is reported, together with our experience in the databases development. The results show that NoSQL database is the best choice for query speed, whereas XML databases are advantageous in terms of scalability, flexibility and extensibility, which are essential to cope with the characteristics of clinical data. While NoSQL and XML technologies are relatively new compared to the conventional relational database, both of them demonstrate potential to become a key database technology for clinical data management as the technology further advances. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Supportive Noninvasive Tool for the Diagnosis of Breast Cancer Using a Thermographic Camera as Sensor

PubMed Central

Garduño-Ramón, Marco Antonio; Vega-Mancilla, Sofia Giovanna; Morales-Henández, Luis Alberto; Osornio-Rios, Roque Alfredo

2017-01-01

Breast cancer is the leading disease in incidence and mortality among women in developing countries. The opportune diagnosis of this disease strengthens the survival index. Mammography application is limited by age and periodicity. Temperature is a physical magnitude that can be measured by using multiple sensing techniques. IR (infrared) thermography using commercial cameras is gaining relevance in industrial and medical applications because it is a non-invasive and non-intrusive technology. Asymmetrical temperature in certain human body zones is associated with cancer. In this paper, an IR thermographic sensor is applied for breast cancer detection. This work includes an automatic breast segmentation methodology, to spot the hottest regions in thermograms using the morphological watershed operator to help the experts locate the tumor. A protocol for thermogram acquisition considering the required time to achieve a thermal stabilization is also proposed. Breast thermograms are evaluated as thermal matrices, instead of gray scale or false color images, increasing the certainty of the provided diagnosis. The proposed tool was validated using the Database for Mastology Research and tested in a voluntary group of 454 women of different ages and cancer stages with good results, leading to the possibility of being used as a supportive tool to detect breast cancer and angiogenesis cases. PMID:28273793

Lung and Heart Sounds Analysis: State-of-the-Art and Future Trends.

PubMed

Padilla-Ortiz, Ana L; Ibarra, David

2018-01-01

Lung sounds, which include all sounds that are produced during the mechanism of respiration, may be classified into normal breath sounds and adventitious sounds. Normal breath sounds occur when no respiratory problems exist, whereas adventitious lung sounds (wheeze, rhonchi, crackle, etc.) are usually associated with certain pulmonary pathologies. Heart and lung sounds that are heard using a stethoscope are the result of mechanical interactions that indicate operation of cardiac and respiratory systems, respectively. In this article, we review the research conducted during the last six years on lung and heart sounds, instrumentation and data sources (sensors and databases), technological advances, and perspectives in processing and data analysis. Our review suggests that chronic obstructive pulmonary disease (COPD) and asthma are the most common respiratory diseases reported on in the literature; related diseases that are less analyzed include chronic bronchitis, idiopathic pulmonary fibrosis, congestive heart failure, and parenchymal pathology. Some new findings regarding the methodologies associated with advances in the electronic stethoscope have been presented for the auscultatory heart sound signaling process, including analysis and clarification of resulting sounds to create a diagnosis based on a quantifiable medical assessment. The availability of automatic interpretation of high precision of heart and lung sounds opens interesting possibilities for cardiovascular diagnosis as well as potential for intelligent diagnosis of heart and lung diseases.

Supportive Noninvasive Tool for the Diagnosis of Breast Cancer Using a Thermographic Camera as Sensor.

PubMed

Garduño-Ramón, Marco Antonio; Vega-Mancilla, Sofia Giovanna; Morales-Henández, Luis Alberto; Osornio-Rios, Roque Alfredo

2017-03-03

Breast cancer is the leading disease in incidence and mortality among women in developing countries. The opportune diagnosis of this disease strengthens the survival index. Mammography application is limited by age and periodicity. Temperature is a physical magnitude that can be measured by using multiple sensing techniques. IR (infrared) thermography using commercial cameras is gaining relevance in industrial and medical applications because it is a non-invasive and non-intrusive technology. Asymmetrical temperature in certain human body zones is associated with cancer. In this paper, an IR thermographic sensor is applied for breast cancer detection. This work includes an automatic breast segmentation methodology, to spot the hottest regions in thermograms using the morphological watershed operator to help the experts locate the tumor. A protocol for thermogram acquisition considering the required time to achieve a thermal stabilization is also proposed. Breast thermograms are evaluated as thermal matrices, instead of gray scale or false color images, increasing the certainty of the provided diagnosis. The proposed tool was validated using the Database for Mastology Research and tested in a voluntary group of 454 women of different ages and cancer stages with good results, leading to the possibility of being used as a supportive tool to detect breast cancer and angiogenesis cases.

'Click chemistry' for diagnosis: a patent review on exploitation of its emerging trends.

PubMed

Mandhare, Anita; Banerjee, Paromita; Bhutkar, Smita; Hirwani, Rajkumar

2014-12-01

Click chemistry is the novel synthetic approach towards developing reactions with large thermodynamic driving forces to give almost complete conversion of new molecular reagents to a single product. Thus, click chemistry describes the chemistry for making carbon-heteroatom-carbon bonds in benign solvents, especially in water, and having a plethora of chemical and biological applications. This has played an important role in early detection of diseases, real-time monitoring of drug delivery and investigating the biomolecular functions in vivo. This review aims at highlighting the research advancements in click chemistry published in the patent literature and categorizing the patents according to the technological progress. An extensive search was carried out to collect and analyze the patent information claiming the use of click chemistry in biotechnology, especially for diagnosis. The study further concentrates on licensing of the click chemistry patents and defining the recent breakthroughs. Different databases like Espacenet, ISI Web of Science, Patbase and Thomson Innovation are used to compile the relevant literature. In recent years, considerable development in the click concept has encouraged researchers in using click reactions in almost every branch of industry that uses chemistry. Click chemistry for chemical ligation has been immensely explored in the field of biotechnology especially for detection, diagnosis and therapeutics.

An Energy Efficient ECG Signal Processor Detecting Cardiovascular Diseases on Smartphone.

PubMed

Jain, Sanjeev Kumar; Bhaumik, Basabi

2017-04-01

A novel disease diagnostic algorithm for ECG signal processing based on forward search is implemented in Application Specific Integrated Circuit (ASIC) for cardiovascular disease diagnosis on smartphone. An ASIC is fabricated using 130-nm CMOS low leakage process technology. The area of our PQRST ASIC is 1.21 mm 2 . The energy dissipation of PQRST ASIC is 96 pJ with a supply voltage of 0.9 V. The outputs from the ASIC are fed to an Android application that generates diagnostic report and can be sent to a cardiologist via email. The ASIC and Android application are verified for the detection of bundle branch block, hypertrophy, arrhythmia and myocardial infarction using Physionet PTB diagnostic ECG database. The failed detection rate is 0.69%, 0.69%, 0.34% and 1.72% for bundle branch block, hypertrophy, arrhythmia and myocardial infarction respectively. The AV block is detected in all the three patients in the Physionet St. Petersburg arrhythmia database. Our proposed ASIC together with our Android application is the most suitable for an energy efficient wearable cardiovascular disease detection system.

Analysis of pulmonary sounds for the diagnosis of interstitial lung diseases secondary to rheumatoid arthritis.

PubMed

Pancaldi, Fabrizio; Sebastiani, Marco; Cassone, Giulia; Luppi, Fabrizio; Cerri, Stefania; Della Casa, Giovanni; Manfredi, Andreina

2018-05-01

The diagnosis of interstitial lung diseases in patients affected by rheumatoid arthritis is fundamental to improving their survival rate. In particular, the average survival time of patients affected by rheumatoid arthritis with pulmonary implications is approximately 3 years. The gold standard for confirming the diagnosis of this disease is computer tomography. However, it is very difficult to raise diagnosis suspicion because the symptoms of the disease are extremely common in elderly people. The detection of the so-called velcro crackle in lung sounds can effectively raise the suspicion of an interstitial disease and speed up diagnosis. However, this task largely relies on the experience of physicians and has not yet been standardized in clinical practice. The diagnosis of interstitial lung diseases based on thorax auscultation still represents an underexplored field in the study of rheumatoid arthritis. In this study, we investigate the problem of the automatic detection of velcro crackle in lung sounds. In practice, the patient is auscultated using a digital stethoscope and the lung sounds are saved to a file. The acquired digital data are then analysed using a suitably developed algorithm. In particular, the proposed solution relies on the empirical observation that the audio bandwidth associated with velcro crackle is larger than that associated with healthy breath sounds. Experimental results from a database of 70 patients affected by rheumatoid arthritis demonstrate that the developed tool can outperform specialized physicians in terms of diagnosing pulmonary disorders. The overall accuracy of the proposed solution is 90.0%, with negative and positive predictive values of 95.0% and 83.3%, respectively, whereas the reliability of physician diagnosis is in the range of 60-70%. The devised algorithm represents an enabling technology for a novel approach to the diagnosis of interstitial lung diseases in patients affected by rheumatoid arthritis. Copyright © 2018 Elsevier Ltd. All rights reserved.

Leveraging Relational Technology through Industry Partnerships.

ERIC Educational Resources Information Center

Brush, Leonard M.; Schaller, Anthony J.

1988-01-01

Carnegie Mellon University has leveraged its technological expertise with database management systems (DBMS) into joint technological and developmental partnerships with DBMS and application software vendors. Carnegie's relational database strategy, the strategy of partnerships and how they were formed, and how the partnerships are doing are…

Differentiation of several interstitial lung disease patterns in HRCT images using support vector machine: role of databases on performance

NASA Astrophysics Data System (ADS)

Kale, Mandar; Mukhopadhyay, Sudipta; Dash, Jatindra K.; Garg, Mandeep; Khandelwal, Niranjan

2016-03-01

Interstitial lung disease (ILD) is complicated group of pulmonary disorders. High Resolution Computed Tomography (HRCT) considered to be best imaging technique for analysis of different pulmonary disorders. HRCT findings can be categorised in several patterns viz. Consolidation, Emphysema, Ground Glass Opacity, Nodular, Normal etc. based on their texture like appearance. Clinician often find it difficult to diagnosis these pattern because of their complex nature. In such scenario computer-aided diagnosis system could help clinician to identify patterns. Several approaches had been proposed for classification of ILD patterns. This includes computation of textural feature and training /testing of classifier such as artificial neural network (ANN), support vector machine (SVM) etc. In this paper, wavelet features are calculated from two different ILD database, publically available MedGIFT ILD database and private ILD database, followed by performance evaluation of ANN and SVM classifiers in terms of average accuracy. It is found that average classification accuracy by SVM is greater than ANN where trained and tested on same database. Investigation continued further to test variation in accuracy of classifier when training and testing is performed with alternate database and training and testing of classifier with database formed by merging samples from same class from two individual databases. The average classification accuracy drops when two independent databases used for training and testing respectively. There is significant improvement in average accuracy when classifiers are trained and tested with merged database. It infers dependency of classification accuracy on training data. It is observed that SVM outperforms ANN when same database is used for training and testing.

Image-based computer-assisted diagnosis system for benign paroxysmal positional vertigo

NASA Astrophysics Data System (ADS)

Kohigashi, Satoru; Nakamae, Koji; Fujioka, Hiromu

2005-04-01

We develop the image based computer assisted diagnosis system for benign paroxysmal positional vertigo (BPPV) that consists of the balance control system simulator, the 3D eye movement simulator, and the extraction method of nystagmus response directly from an eye movement image sequence. In the system, the causes and conditions of BPPV are estimated by searching the database for record matching with the nystagmus response for the observed eye image sequence of the patient with BPPV. The database includes the nystagmus responses for simulated eye movement sequences. The eye movement velocity is obtained by using the balance control system simulator that allows us to simulate BPPV under various conditions such as canalithiasis, cupulolithiasis, number of otoconia, otoconium size, and so on. Then the eye movement image sequence is displayed on the CRT by the 3D eye movement simulator. The nystagmus responses are extracted from the image sequence by the proposed method and are stored in the database. In order to enhance the diagnosis accuracy, the nystagmus response for a newly simulated sequence is matched with that for the observed sequence. From the matched simulation conditions, the causes and conditions of BPPV are estimated. We apply our image based computer assisted diagnosis system to two real eye movement image sequences for patients with BPPV to show its validity.

[Effect of 3D printing technology on pelvic fractures:a Meta-analysis].

PubMed

Zhang, Yu-Dong; Wu, Ren-Yuan; Xie, Ding-Ding; Zhang, Lei; He, Yi; Zhang, Hong

2018-05-25

To evaluate the effect of 3D printing technology applied in the surgical treatment of pelvic fractures through the published literatures by Meta-analysis. The PubMed database, EMCC database, CBM database, CNKI database, VIP database and Wanfang database were searched from the date of database foundation to August 2017 to collect the controlled clinical trials in wich 3D printing technology was applied in preoperative planning of pelvic fracture surgery. The retrieved literatures were screened according to predefined inclusion and exclusion criteria, and quality evaluation were performed. Then, the available data were extracted and analyzed with the RevMan5.3 software. Totally 9 controlled clinical trials including 638 cases were chosen. Among them, 279 cases were assigned to the 3D printing technology group and 359 cases to the conventional group. The Meta-analysis results showed that the operative time[SMD=-2.81, 95%CI(-3.76, -1.85)], intraoperative blood loss[SMD=-3.28, 95%CI(-4.72, -1.85)] and the rate of complication [OR=0.47, 95%CI(0.25, 0.87)] in the 3D printing technology were all lower than those in the conventional group;the excellent and good rate of pelvic fracture reduction[OR=2.09, 95%CI(1.32, 3.30)] and postoperative pelvic functional restoration [OR=1.94, 95%CI(1.15, 3.28) in the 3D printing technology were all superior to those in the conventional group. 3D printing technology applied in the surgical treatment of pelvic fractures has the advantage of shorter operative time, less intraoperative blood loss and lower rate of complication, and can improve the quality of pelvic fracture reduction and the recovery of postoperative pelvic function. Copyright© 2018 by the China Journal of Orthopaedics and Traumatology Press.

AN EPA SPONSORED LITERATURE REVIEW DATABASE TO SUPPORT STRESSOR IDENTIFICATION

EPA Science Inventory

The Causal Analysis/Diagnosis Decision Information System (CADDIS) is an EPA decision-support system currently under development for evaluating the biological impact of stressors on water bodies. In support of CADDIS, EPA is developing CADLIT, a searchable database of the scient...

ECLSS evolution: Advanced instrumentation interface requirements. Volume 3: Appendix C

NASA Technical Reports Server (NTRS)

1991-01-01

An Advanced ECLSS (Environmental Control and Life Support System) Technology Interfaces Database was developed primarily to provide ECLSS analysts with a centralized and portable source of ECLSS technologies interface requirements data. The database contains 20 technologies which were previously identified in the MDSSC ECLSS Technologies database. The primary interfaces of interest in this database are fluid, electrical, data/control interfaces, and resupply requirements. Each record contains fields describing the function and operation of the technology. Fields include: an interface diagram, description applicable design points and operating ranges, and an explaination of data, as required. A complete set of data was entered for six of the twenty components including Solid Amine Water Desorbed (SAWD), Thermoelectric Integrated Membrane Evaporation System (TIMES), Electrochemical Carbon Dioxide Concentrator (EDC), Solid Polymer Electrolysis (SPE), Static Feed Electrolysis (SFE), and BOSCH. Additional data was collected for Reverse Osmosis Water Reclaimation-Potable (ROWRP), Reverse Osmosis Water Reclaimation-Hygiene (ROWRH), Static Feed Solid Polymer Electrolyte (SFSPE), Trace Contaminant Control System (TCCS), and Multifiltration Water Reclamation - Hygiene (MFWRH). A summary of the database contents is presented in this report.

[Thinking about the present primary open angle glaucoma early diagnosis concepts and methods].

PubMed

Ren, Zeqin

2014-05-01

Early diagnosis of primary open-angle glaucoma has not been clear and consistent in concepts and methods. At present, according to the pathophysiology process of optic nerve damage and its detection technology, early diagnosis on the concept still belongs to the early clinical diagnosis instead of preclinical diagnosis, and on the method depends on the fundus as morphological index combined with the visual field as functional index. The direction of early clinical diagnosis mainly lies in exploring more effective diagnosis index, rather than blindly adopt new diagnostic technology.

[Clinical, ureteroscopic and photodynamic diagnosis of urothelial carcinomas of the upper tract: state-of-the art review for the yearly scientific report of the French National Association of Urology].

PubMed

Nison, L; Bozzini, G; Rouprêt, M; Traxer, O; Colin, P

2014-11-01

To propose a state-of-the art of current knowledge about clinical, ureteroscopic and photodynamic for the diagnosis of the upper urinary tract cancer (UTUC). A systematic review of the literature search was performed from the database Medline (NLM, Pubmed), focused on the following keywords: urothelial carcinomas; upper urinary tract; ureter; renal pelvis; diagnosis; fluorescence; ureteroscopy; photodynamic technique; biopsy; cytology. Gross hematuria and flank pain are the two main clinical symptoms revealing a UTUC in daily clinical practice. Urinary cystoscopy and cystoscopy are mandatory to rule out a concomittant synchronous bladder tumour. Flexible ureteroscopy has revolutionized the management of UTUC by allowing a full exploration of upper urinary tract, an endoscopi vizualization of the tumour and assessment of grade with biopsies. A flexible ureteroscopy is mandatory in diagnostic evaluation of UTUC as soon as a conservative management is being considered. New investigation technologies such as fluorescence, narrow band imaging and optical coherence tomography (± combined with ultra sound), are promising for a near future. It has to be understood that the diagnostic work-up of a UTUC has to be exhaustive and particularly the search of another urothelial carcinoma within the urinary tract. Flexible ureterosocopy has revolutionized the diagnosis and management of UTUC and belongs fully to its initial evaluation. Copyright © 2014 Elsevier Masson SAS. All rights reserved.

Keyless Entry: Building a Text Database Using OCR Technology.

ERIC Educational Resources Information Center

Grotophorst, Clyde W.

1989-01-01

Discusses the use of optical character recognition (OCR) technology to produce an ASCII text database. A tutorial on digital scanning and OCR is provided, and a systems integration project which used the Calera CDP-3000XF scanner and text retrieval software to construct a database of dissertations at George Mason University is described. (four…

A Database Practicum for Teaching Database Administration and Software Development at Regis University

ERIC Educational Resources Information Center

Mason, Robert T.

2013-01-01

This research paper compares a database practicum at the Regis University College for Professional Studies (CPS) with technology oriented practicums at other universities. Successful andragogy for technology courses can motivate students to develop a genuine interest in the subject, share their knowledge with peers and can inspire students to…

[Research and development of medical case database: a novel medical case information system integrating with biospecimen management].

PubMed

Pan, Shiyang; Mu, Yuan; Wang, Hong; Wang, Tong; Huang, Peijun; Ma, Jianfeng; Jiang, Li; Zhang, Jie; Gu, Bing; Yi, Lujiang

2010-04-01

To meet the needs of management of medical case information and biospecimen simultaneously, we developed a novel medical case information system integrating with biospecimen management. The database established by MS SQL Server 2000 covered, basic information, clinical diagnosis, imaging diagnosis, pathological diagnosis and clinical treatment of patient; physicochemical property, inventory management and laboratory analysis of biospecimen; users log and data maintenance. The client application developed by Visual C++ 6.0 was used to implement medical case and biospecimen management, which was based on Client/Server model. This system can perform input, browse, inquest, summary of case and related biospecimen information, and can automatically synthesize case-records based on the database. Management of not only a long-term follow-up on individual, but also of grouped cases organized according to the aim of research can be achieved by the system. This system can improve the efficiency and quality of clinical researches while biospecimens are used coordinately. It realizes synthesized and dynamic management of medical case and biospecimen, which may be considered as a new management platform.

Development of Plant Control Diagnosis Technology and Increasing Its Applications

NASA Astrophysics Data System (ADS)

Kugemoto, Hidekazu; Yoshimura, Satoshi; Hashizume, Satoru; Kageyama, Takashi; Yamamoto, Toru

A plant control diagnosis technology was developed to improve the performance of plant-wide control and maintain high productivity of plants. The control performance diagnosis system containing this technology picks out the poor performance loop, analyzes the cause, and outputs the result on the Web page. Meanwhile, the PID tuning tool is used to tune extracted loops from the control performance diagnosis system. It has an advantage of tuning safely without process changes. These systems are powerful tools to do Kaizen (continuous improvement efforts) step by step, coordinating with the operator. This paper describes a practical technique regarding the diagnosis system and its industrial applications.

Current Abstracts Nuclear Reactors and Technology

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bales, J.D.; Hicks, S.C.

1993-01-01

This publication Nuclear Reactors and Technology (NRT) announces on a monthly basis the current worldwide information available from the open literature on nuclear reactors and technology, including all aspects of power reactors, components and accessories, fuel elements, control systems, and materials. This publication contains the abstracts of DOE reports, journal articles, conference papers, patents, theses, and monographs added to the Energy Science and Technology Database during the past month. Also included are US information obtained through acquisition programs or interagency agreements and international information obtained through acquisition programs or interagency agreements and international information obtained through the International Energy Agency`smore » Energy Technology Data Exchange or government-to-government agreements. The digests in NRT and other citations to information on nuclear reactors back to 1948 are available for online searching and retrieval on the Energy Science and Technology Database and Nuclear Science Abstracts (NSA) database. Current information, added daily to the Energy Science and Technology Database, is available to DOE and its contractors through the DOE Integrated Technical Information System. Customized profiles can be developed to provide current information to meet each user`s needs.« less

Nuclear Reactors and Technology

DOE Office of Scientific and Technical Information (OSTI.GOV)

Cason, D.L.; Hicks, S.C.

1992-01-01

This publication Nuclear Reactors and Technology (NRT) announces on a monthly basis the current worldwide information available from the open literature on nuclear reactors and technology, including all aspects of power reactors, components and accessories, fuel elements, control systems, and materials. This publication contains the abstracts of DOE reports, journal articles, conference papers, patents, theses, and monographs added to the Energy Science and Technology Database during the past month. Also included are US information obtained through acquisition programs or interagency agreements and international information obtained through the International Energy Agency`s Energy Technology Data Exchange or government-to-government agreements. The digests inmore » NRT and other citations to information on nuclear reactors back to 1948 are available for online searching and retrieval on the Energy Science and Technology Database and Nuclear Science Abstracts (NSA) database. Current information, added daily to the Energy Science and Technology Database, is available to DOE and its contractors through the DOE Integrated Technical Information System. Customized profiles can be developed to provide current information to meet each user`s needs.« less

Systematic review of research investigating psychotherapy and information and communication technologies.

PubMed

Hallberg, Sílvia Cristina Marceliano; Lisboa, Carolina Saraiva de Macedo; de Souza, Déborah Brandão; Mester, Ariela; Braga, Andréia Zambon; Strey, Artur Marques; da Silva, Camila Sartori

2015-01-01

Information and communication technologies (ICTs) are devices, services and knowledge that reproduce, process and distribute information. Psychotherapy has been influenced by these technologies, and there is a tendency for their role to expand. To describe the current panorama of the scientific literature on psychotherapy and ICTs. This is a systematic and descriptive review. Searches were run on the electronic databases Biblioteca Virtual em Saude (BVS), PsycINFO, Scopus, PePSIC, ScienceDirect and Index Psi, using the Boolean operator AND and the descriptors psychotherapy, computers, Internet, cell phones and social networks. A considerable volume of empirical research was found, published recently in many different parts of the world, especially in the United States. There is very little Brazilian research on the subject. The majority of the studies identified assess the efficacy or describe the development of techniques and psychotherapies, via ICTs, for prevention, diagnosis or treatment of mental and behavioral disorders. The psychopathology most investigated in this area is depression and it was not possible to draw conclusions on a possible trend for research into the subject to increase. The technology most investigated was the Internet and cognitive-behavioral therapy was the most common theoretical approach in these studies. Systematic reviews of published studies can detect gaps in the research agenda within a specific field of knowledge.

Radio Frequency Identification (RFID) technology and patient safety

PubMed Central

Ajami, Sima; Rajabzadeh, Ahmad

2013-01-01

Background: Radio frequency identification (RFID) systems have been successfully applied in areas of manufacturing, supply chain, agriculture, transportation, healthcare, and services to name a few. However, the different advantages and disadvantages expressed in various studies of the challenges facing the technology of the use of the RFID technology have been met with skepticism by managers of healthcare organizations. The aim of this study was to express and display the role of RFID technology in improving patient safety and increasing the impact of it in healthcare. Materials and Methods: This study was non-systematical review, which the literature search was conducted with the help of libraries, books, conference proceedings, PubMed databases and also search engines available at Google, Google scholar in which published between 2004 and 2013 during Febuary 2013. We employed the following keywords and their combinations; RFID, healthcare, patient safety, medical errors, and medication errors in the searching areas of title, keywords, abstract, and full text. Results: The preliminary search resulted in 68 articles. After a careful analysis of the content of each paper, a total of 33 papers was selected based on their relevancy. Conclusion: We should integrate RFID with hospital information systems (HIS) and electronic health records (EHRs) and support it by clinical decision support systems (CDSS), it facilitates processes and reduce medical, medication and diagnosis errors. PMID:24381626

Radio Frequency Identification (RFID) technology and patient safety.

PubMed

Ajami, Sima; Rajabzadeh, Ahmad

2013-09-01

Radio frequency identification (RFID) systems have been successfully applied in areas of manufacturing, supply chain, agriculture, transportation, healthcare, and services to name a few. However, the different advantages and disadvantages expressed in various studies of the challenges facing the technology of the use of the RFID technology have been met with skepticism by managers of healthcare organizations. The aim of this study was to express and display the role of RFID technology in improving patient safety and increasing the impact of it in healthcare. This study was non-systematical review, which the literature search was conducted with the help of libraries, books, conference proceedings, PubMed databases and also search engines available at Google, Google scholar in which published between 2004 and 2013 during Febuary 2013. We employed the following keywords and their combinations; RFID, healthcare, patient safety, medical errors, and medication errors in the searching areas of title, keywords, abstract, and full text. The preliminary search resulted in 68 articles. After a careful analysis of the content of each paper, a total of 33 papers was selected based on their relevancy. We should integrate RFID with hospital information systems (HIS) and electronic health records (EHRs) and support it by clinical decision support systems (CDSS), it facilitates processes and reduce medical, medication and diagnosis errors.

Development of expert systems for analyzing electronic documents

NASA Astrophysics Data System (ADS)

Abeer Yassin, Al-Azzawi; Shidlovskiy, S.; Jamal, A. A.

2018-05-01

The paper analyses a Database Management System (DBMS). Expert systems, Databases, and database technology have become an essential component of everyday life in the modern society. As databases are widely used in every organization with a computer system, data resource control and data management are very important [1]. DBMS is the most significant tool developed to serve multiple users in a database environment consisting of programs that enable users to create and maintain a database. This paper focuses on development of a database management system for General Directorate for education of Diyala in Iraq (GDED) using Clips, java Net-beans and Alfresco and system components, which were previously developed in Tomsk State University at the Faculty of Innovative Technology.

An Analysis Platform for Mobile Ad Hoc Network (MANET) Scenario Execution Log Data

DTIC Science & Technology

2016-01-01

these technologies. 4.1 Backend Technologies • Java 1.8 • my-sql-connector- java -5.0.8.jar • Tomcat • VirtualBox • Kali MANET Virtual Machine 4.2...Frontend Technologies • LAMPP 4.3 Database • MySQL Server 5. Database The SEDAP database settings and structure are described in this section...contains all the backend java functionality including the web services, should be placed in the webapps directory inside the Tomcat installation

Image-guided decision support system for pulmonary nodule classification in 3D thoracic CT images

NASA Astrophysics Data System (ADS)

Kawata, Yoshiki; Niki, Noboru; Ohmatsu, Hironobu; Kusumoto, Masahiro; Kakinuma, Ryutaro; Mori, Kiyoshi; Yamada, Kozo; Nishiyama, Hiroyuki; Eguchi, Kenji; Kaneko, Masahiro; Moriyama, Noriyuki

2004-05-01

The purpose of this study is to develop an image-guided decision support system that assists decision-making in clinical differential diagnosis of pulmonary nodules. This approach retrieves and displays nodules that exhibit morphological and internal profiles consistent to the nodule in question. It uses a three-dimensional (3-D) CT image database of pulmonary nodules for which diagnosis is known. In order to build the system, there are following issues that should be solved: 1) to categorize the nodule database with respect to morphological and internal features, 2) to quickly search nodule images similar to an indeterminate nodule from a large database, and 3) to reveal malignancy likelihood computed by using similar nodule images. Especially, the first problem influences the design of other issues. The successful categorization of nodule pattern might lead physicians to find important cues that characterize benign and malignant nodules. This paper focuses on an approach to categorize the nodule database with respect to nodule shape and CT density patterns inside nodule.

New perspectives in toxicological information management, and the role of ISSTOX databases in assessing chemical mutagenicity and carcinogenicity.

PubMed

Benigni, Romualdo; Battistelli, Chiara Laura; Bossa, Cecilia; Tcheremenskaia, Olga; Crettaz, Pierre

2013-07-01

Currently, the public has access to a variety of databases containing mutagenicity and carcinogenicity data. These resources are crucial for the toxicologists and regulators involved in the risk assessment of chemicals, which necessitates access to all the relevant literature, and the capability to search across toxicity databases using both biological and chemical criteria. Towards the larger goal of screening chemicals for a wide range of toxicity end points of potential interest, publicly available resources across a large spectrum of biological and chemical data space must be effectively harnessed with current and evolving information technologies (i.e. systematised, integrated and mined), if long-term screening and prediction objectives are to be achieved. A key to rapid progress in the field of chemical toxicity databases is that of combining information technology with the chemical structure as identifier of the molecules. This permits an enormous range of operations (e.g. retrieving chemicals or chemical classes, describing the content of databases, finding similar chemicals, crossing biological and chemical interrogations, etc.) that other more classical databases cannot allow. This article describes the progress in the technology of toxicity databases, including the concepts of Chemical Relational Database and Toxicological Standardized Controlled Vocabularies (Ontology). Then it describes the ISSTOX cluster of toxicological databases at the Istituto Superiore di Sanitá. It consists of freely available databases characterised by the use of modern information technologies and by curation of the quality of the biological data. Finally, this article provides examples of analyses and results made possible by ISSTOX.

Healthcare Databases in Thailand and Japan: Potential Sources for Health Technology Assessment Research.

PubMed

Saokaew, Surasak; Sugimoto, Takashi; Kamae, Isao; Pratoomsoot, Chayanin; Chaiyakunapruk, Nathorn

2015-01-01

Health technology assessment (HTA) has been continuously used for value-based healthcare decisions over the last decade. Healthcare databases represent an important source of information for HTA, which has seen a surge in use in Western countries. Although HTA agencies have been established in Asia-Pacific region, application and understanding of healthcare databases for HTA is rather limited. Thus, we reviewed existing databases to assess their potential for HTA in Thailand where HTA has been used officially and Japan where HTA is going to be officially introduced. Existing healthcare databases in Thailand and Japan were compiled and reviewed. Databases' characteristics e.g. name of database, host, scope/objective, time/sample size, design, data collection method, population/sample, and variables were described. Databases were assessed for its potential HTA use in terms of safety/efficacy/effectiveness, social/ethical, organization/professional, economic, and epidemiological domains. Request route for each database was also provided. Forty databases- 20 from Thailand and 20 from Japan-were included. These comprised of national censuses, surveys, registries, administrative data, and claimed databases. All databases were potentially used for epidemiological studies. In addition, data on mortality, morbidity, disability, adverse events, quality of life, service/technology utilization, length of stay, and economics were also found in some databases. However, access to patient-level data was limited since information about the databases was not available on public sources. Our findings have shown that existing databases provided valuable information for HTA research with limitation on accessibility. Mutual dialogue on healthcare database development and usage for HTA among Asia-Pacific region is needed.

Identifying type 1 and type 2 diabetic cases using administrative data: a tree-structured model.

PubMed

Lo-Ciganic, Weihsuan; Zgibor, Janice C; Ruppert, Kristine; Arena, Vincent C; Stone, Roslyn A

2011-05-01

To date, few administrative diabetes mellitus (DM) registries have distinguished type 1 diabetes mellitus (T1DM) from type 2 diabetes mellitus (T2DM). Using a classification tree model, a prediction rule was developed to distinguish T1DM from T2DM in a large administrative database. The Medical Archival Retrieval System at the University of Pittsburgh Medical Center included administrative and clinical data from January 1, 2000, through September 30, 2009, for 209,647 DM patients aged ≥18 years. Probable cases (8,173 T1DM and 125,111 T2DM) were identified by applying clinical criteria to administrative data. Nonparametric classification tree models were fit using TIBCO Spotfire S+ 8.1 (TIBCO Software), with model size based on 10-fold cross validation. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of T1DM were estimated. The main predictors that distinguished T1DM from T2DM are age <40 years; International Classification of Disease, 9th revision, codes of T1DM or T2DM diagnosis; inpatient oral hypoglycemic agent use; inpatient insulin use; and episode(s) of diabetic ketoacidosis diagnosis. Compared with a complex clinical algorithm, the tree-structured model to predict T1DM had 92.8% sensitivity, 99.3% specificity, 89.5% PPV, and 99.5% NPV. The preliminary predictive rule appears to be promising. Being able to distinguish between DM subtypes in administrative databases will allow large-scale subtype-specific analyses of medical care costs, morbidity, and mortality. © 2011 Diabetes Technology Society.

Timely Diagnostic Feedback for Database Concept Learning

ERIC Educational Resources Information Center

Lin, Jian-Wei; Lai, Yuan-Cheng; Chuang, Yuh-Shy

2013-01-01

To efficiently learn database concepts, this work adopts association rules to provide diagnostic feedback for drawing an Entity-Relationship Diagram (ERD). Using association rules and Asynchronous JavaScript and XML (AJAX) techniques, this work implements a novel Web-based Timely Diagnosis System (WTDS), which provides timely diagnostic feedback…

An open access thyroid ultrasound image database

NASA Astrophysics Data System (ADS)

Pedraza, Lina; Vargas, Carlos; Narváez, Fabián.; Durán, Oscar; Muñoz, Emma; Romero, Eduardo

2015-01-01

Computer aided diagnosis systems (CAD) have been developed to assist radiologists in the detection and diagnosis of abnormalities and a large number of pattern recognition techniques have been proposed to obtain a second opinion. Most of these strategies have been evaluated using different datasets making their performance incomparable. In this work, an open access database of thyroid ultrasound images is presented. The dataset consists of a set of B-mode Ultrasound images, including a complete annotation and diagnostic description of suspicious thyroid lesions by expert radiologists. Several types of lesions as thyroiditis, cystic nodules, adenomas and thyroid cancers were included while an accurate lesion delineation is provided in XML format. The diagnostic description of malignant lesions was confirmed by biopsy. The proposed new database is expected to be a resource for the community to assess different CAD systems.

Quebec Trophoblastic Disease Registry: how to make an easy-to-use dynamic database.

PubMed

Sauthier, Philippe; Breguet, Magali; Rozenholc, Alexandre; Sauthier, Michaël

2015-05-01

To create an easy-to-use dynamic database designed specifically for the Quebec Trophoblastic Disease Registry (RMTQ). It is now well established that much of the success in managing trophoblastic diseases comes from the development of national and regional reference centers. Computerized databases allow the optimal use of data stored in these centers. We have created an electronic data registration system by producing a database using FileMaker Pro 12. It uses 11 external tables associated with a unique identification number for each patient. Each table allows specific data to be recorded, incorporating demographics, diagnosis, automated staging, laboratory values, pathological diagnosis, and imaging parameters. From January 1, 2009, to December 31, 2013, we used our database to register 311 patients with 380 diseases and have seen a 39.2% increase in registrations each year between 2009 and 2012. This database allows the automatic generation of semilogarithmic curves, which take into account β-hCG values as a function of time, complete with graphic markers for applied treatments (chemotherapy, radiotherapy, or surgery). It generates a summary sheet for a synthetic vision in real time. We have created, at a low cost, an easy-to-use database specific to trophoblastic diseases that dynamically integrates staging and monitoring. We propose a 10-step procedure for a successful trophoblastic database. It improves patient care, research, and education on trophoblastic diseases in Quebec and leads to an opportunity for collaboration on a national Canadian registry.

Accuracy of fundus autofluorescence imaging for the diagnosis and monitoring of retinal conditions: a systematic review.

PubMed

Frampton, Geoff K; Kalita, Neelam; Payne, Liz; Colquitt, Jill; Loveman, Emma

2016-04-01

Natural fluorescence in the eye may be increased or decreased by diseases that affect the retina. Imaging methods based on confocal scanning laser ophthalmoscopy (cSLO) can detect this 'fundus autofluorescence' (FAF) by illuminating the retina using a specific light 'excitation wavelength'. FAF imaging could assist the diagnosis or monitoring of retinal conditions. However, the accuracy of the method for diagnosis or monitoring is unclear. To conduct a systematic review to determine the accuracy of FAF imaging using cSLO for the diagnosis or monitoring of retinal conditions, including monitoring of response to therapy. Electronic bibliographic databases; scrutiny of reference lists of included studies and relevant systematic reviews; and searches of internet pages of relevant organisations, meetings and trial registries. Databases included MEDLINE, EMBASE, The Cochrane Library, Web of Science and the Medion database of diagnostic accuracy studies. Searches covered 1990 to November 2014 and were limited to the English language. References were screened for relevance using prespecified inclusion criteria to capture a broad range of retinal conditions. Two reviewers assessed titles and abstracts independently. Full-text versions of relevant records were retrieved and screened by one reviewer and checked by a second. Data were extracted and critically appraised using the Quality Assessment of Diagnostic Accuracy Studies criteria (QUADAS) for assessing risk of bias in test accuracy studies by one reviewer and checked by a second. At all stages any reviewer disagreement was resolved through discussion or arbitration by a third reviewer. Eight primary research studies have investigated the diagnostic accuracy of FAF imaging in retinal conditions: choroidal neovascularisation (one study), reticular pseudodrusen (three studies), cystoid macular oedema (two studies) and diabetic macular oedema (two studies). Sensitivity of FAF imaging using an excitation wavelength of 488 nm was generally high (range 81-100%), but was lower (55% and 32%) in two studies using longer excitation wavelengths (514 nm and 790 nm, respectively). Specificity ranged from 34% to 100%. However, owing to limitations of the data, none of the studies provide conclusive evidence of the diagnostic accuracy of FAF imaging. No studies on the accuracy of FAF imaging for monitoring the progression of retinal conditions or response to therapy were identified. Owing to study heterogeneity, pooling of diagnostic outcomes in meta-analysis was not conducted. All included studies had high risk of bias. In most studies the patient spectrum was not reflective of those who would present in clinical practice and no studies adequately reported how FAF images were interpreted. Although already in use in clinical practice, it is unclear whether or not FAF imaging is accurate, and whether or not it is applied and interpreted consistently for the diagnosis and/or monitoring of retinal conditions. Well-designed prospective primary research studies, which conform to the paradigm of diagnostic test accuracy assessment, are required to investigate the accuracy of FAF imaging in diagnosis and monitoring of inherited retinal dystrophies, early age-related macular degeneration, geographic atrophy and central serous chorioretinopathy. This study is registered as PROSPERO CRD42014014997. The National Institute for Health Research Health Technology Assessment programme.

Imaging in Chronic Traumatic Encephalopathy and Traumatic Brain Injury

PubMed Central

Shetty, Teena; Raince, Avtar; Manning, Erin; Tsiouris, Apostolos John

2016-01-01

Context: The diagnosis of chronic traumatic encephalopathy (CTE) can only be made pathologically, and there is no concordance of defined clinical criteria for premorbid diagnosis. The absence of established criteria and the insufficient imaging findings to detect this disease in a living athlete are of growing concern. Evidence Acquisition: The article is a review of the current literature on CTE. Databases searched include Medline, PubMed, JAMA evidence, and evidence-based medicine guidelines Cochrane Library, Hospital for Special Surgery, and Cornell Library databases. Study Design: Clinical review. Level of Evidence: Level 4. Results: Chronic traumatic encephalopathy cannot be diagnosed on imaging. Examples of imaging findings in common types of head trauma are discussed. Conclusion: Further study is necessary to correlate the clinical and imaging findings of repetitive head injuries with the pathologic diagnosis of CTE. PMID:26733590

Validation of TMJ osteoarthritis synthetic defect database via non-rigid registration

NASA Astrophysics Data System (ADS)

Paniagua, Beatriz; Pera, Juliette; Budin, Francois; Gomes, Liliane; Styner, Martin; Lucia, Cevidanes; Nguyen, Tung

2015-03-01

Temporomandibular joint (TMJ) disorders are a group of conditions that cause pain and dysfunction in the jaw joint and the muscles controlling jaw movement. However, diagnosis and treatment of these conditions remain controversial. To date, there is no single sign, symptom, or test that can clearly diagnose early stages of osteoarthritis (OA). Instead, the diagnosis is based on a consideration of several factors, including radiological evaluation. The current radiological diagnosis scores of TMJ pathology are subject to misdiagnosis. We believe these scores are limited by the acquisition procedures, such as oblique cuts of the CT and head positioning errors, and can lead to incorrect diagnoses of flattening of the head of the condyle, formation of osteophytes, or condylar pitting. This study consists of creating and validating a methodological framework to simulate defects in CBCT scans of known location and size, in order to create synthetic TMJ OA database. User-generated defects were created using a non-rigid deformation protocol in CBCT. All segmentation evaluation, surface distances and linear distances from the user-generated to the simulated defects showed our methodological framework to be very precise and within a voxel (0.5 mm) of magnitude. A TMJ OA synthetic database will be created next, and evaluated by expert radiologists, and this will serve to evaluate how sensitive the current radiological diagnosis tools are.

[Conceptual foundations of creation of branch database of technology and intellectual property rights owned by scientific institutions, organizations, higher medical educational institutions and enterprises of healthcare sphere of Ukraine].

PubMed

Horban', A Ie

2013-09-01

The question of implementation of the state policy in the field of technology transfer in the medical branch to implement the law of Ukraine of 02.10.2012 No 5407-VI "On Amendments to the law of Ukraine" "On state regulation of activity in the field of technology transfers", namely to ensure the formation of branch database on technology and intellectual property rights owned by scientific institutions, organizations, higher medical education institutions and enterprises of healthcare sphere of Ukraine and established by budget are considered. Analysis of international and domestic experience in the processing of information about intellectual property rights and systems implementation support transfer of new technologies are made. The main conceptual principles of creation of this branch database of technology transfer and branch technology transfer network are defined.

RayPlus: a Web-Based Platform for Medical Image Processing.

PubMed

Yuan, Rong; Luo, Ming; Sun, Zhi; Shi, Shuyue; Xiao, Peng; Xie, Qingguo

2017-04-01

Medical image can provide valuable information for preclinical research, clinical diagnosis, and treatment. As the widespread use of digital medical imaging, many researchers are currently developing medical image processing algorithms and systems in order to accommodate a better result to clinical community, including accurate clinical parameters or processed images from the original images. In this paper, we propose a web-based platform to present and process medical images. By using Internet and novel database technologies, authorized users can easily access to medical images and facilitate their workflows of processing with server-side powerful computing performance without any installation. We implement a series of algorithms of image processing and visualization in the initial version of Rayplus. Integration of our system allows much flexibility and convenience for both research and clinical communities.

Combining new technologies for effective collection development: a bibliometric study using CD-ROM and a database management program.

PubMed Central

Burnham, J F; Shearer, B S; Wall, J C

1992-01-01

Librarians have used bibliometrics for many years to assess collections and to provide data for making selection and deselection decisions. With the advent of new technology--specifically, CD-ROM databases and reprint file database management programs--new cost-effective procedures can be developed. This paper describes a recent multidisciplinary study conducted by two library faculty members and one allied health faculty member to test a bibliometric method that used the MEDLINE and CINAHL databases on CD-ROM and the Papyrus database management program to produce a new collection development methodology. PMID:1600424

A relational database in neurosurgery.

PubMed

Sicurello, F; Marchetti, M R; Cazzaniga, P

1995-01-01

This paper describes teh automatic procedure for a clinical record management in a Neurosurgery ward. The automated record allows the storage, querying and effective management of clinical data. This is useful during the patient stay and also for data processing and analysis aiming at clinical research and statistical studies. The clinical record is problem-oriented. It contains a minimum data set regarding every patient and a data set which is defined by a classification nomenclature (using an inner protocol). The main parts of the clinical record are the following tables: PERSONAL DATA: contains the fields relating to personal and admission data of the patient. The compilation of some fields is compulsory because they serve as input for the automated discharge letter. This table is used as an identifier for patient retrieval. composed of five different tables according to the kind of data. They are: familiar anamnesis, physiological anamnesis, past and next pathology anamnesis, and trauma anamnesis. GENERAL OBJECTIVITY: contains the general physical information of a patient. The field hold default values, which quickens the compilation and assures the recording of normal values. NEUROLOGICAL EXAMINATION: contains information about the neurological status of the patient. Also in this table, ther are default values in the fields. COMA: contains standardized ata and classifications. The multiple choices are automated and driven and belong to homogeneous classes. SURGICAL OPERATIONS: the information recording is made defining the general kind of operation and then defining the peculiar kind of operation. INSTRUMENTAL EXAMINATIONS: some examination results are recorded in a free structure, while other ones (TAC, etc.) follow codified structure. In order to identify a pathology by means of TAC, it is enough to record three values corresponding to three variables. THis classification fully describes a lot of neurosurgical pathologies. DISCHARGE: contains conclusions, therapies, result, and hospital course. Medical language is closer to the natural one and presents some abiguities. In order to solve this problem, a classification nomenclature was used for diagnosis definition. DISCHARGE LETTER: the document given to the patient when he is discharged. It extracts data from the previously described modules and contains standard headings. The information stored int he database is structured (e.g., diagnosis, name, surname, etc.) and access to this data takes place when the user wants to search the database, using particular queries where the identifying data of a patient is put as conditions for the research (SELECT age, name WHERE diagnosis="TRAUMA"). Logical operators and relational algebra of the relational DBMS allows more complex queries ((diagnosis="TRAUMA" AND age="19") OR sex="M"). The queries are deterministic, because data management uses a classification nomenclature. Data retrieval takes place through a matching, and the DBMS answers directly to the queries. The information retrieval speed depends upon the kind of system that is used; in our case retrieval time is low because the accesses to disk are few even for big databases. In medicine, clinical records can have a hierarchical structure and/or a relational one. Nevertheless, the hierarchical model presents a disadvantage: it is not very flexible because it is linked to a pre-defined structure; as a matter of fact, the definition of path is established in the beginning and not during the execution. Thus, a better representation of the system at a logical level requries a relational DBMS which exploits the relationships between entities in a vertical and horizontal way. That is why the developers adopted a mixed strategy which exploits the advantages of both models and which is provided by M Technology with SQL language (M/SQL). For the future, it is important to have at one's disposal multimedia technologies, which integrate different kinds of information (alp

A Systematic and Integrated Review of Mobile-Based Technology to Promote Active Lifestyles in People With Type 2 Diabetes.

PubMed

McMillan, Kathryn Anne; Kirk, Alison; Hewitt, Allan; MacRury, Sandra

2017-03-01

The aim was to review studies examining the effectiveness, acceptability, and feasibility of mobile-based technology for promoting active lifestyles in people with type 2 diabetes (T2D). Benefits of leading an active lifestyle following a diagnosis of T2D, including improved glycemic control, have been reported. Studies examining the specific use of mobile-based technologies to promote an active lifestyle in T2D have not previously been reviewed. Research studies examining effectiveness, feasibility or acceptability of mobile-based technology for active lifestyle promotion for T2D management were included (n = 9). The databases searched included PubMed, Medline, ScienceDirect, and ACM Digital Library (January 2005 to October 2015). Studies were categorized as (1) informing, (2) monitoring, (3) provoking, or (4) sustaining behavior change. Technologies used included smartphone or tablet apps, diabetes personal digital assistant, continuous glucose monitor and accelerometer, pedometer, and a website delivered by a smartphone. No articles examined the effectiveness of mobile-based technology in monitoring health behaviors and behavior change. Four of the studies found mobile-based technology to be motivational and supportive for behavior change. The visual reinforcement was identified as motivational. The feasibility and acceptability of using mobile-based technology to provide sustained lifestyle change and the effectiveness of mobile-based technology in monitoring health behaviors and behavior change have not been investigated. No studies examined all 3 of the outcomes or focused decreasing the participants' sedentary behavior. Limited research has examined the feasibility, acceptability, and effectiveness of mobile-based technology to promote active lifestyles and subsequently good diabetes management in people with T2D.

Evaluation of relational and NoSQL database architectures to manage genomic annotations.

PubMed

Schulz, Wade L; Nelson, Brent G; Felker, Donn K; Durant, Thomas J S; Torres, Richard

2016-12-01

While the adoption of next generation sequencing has rapidly expanded, the informatics infrastructure used to manage the data generated by this technology has not kept pace. Historically, relational databases have provided much of the framework for data storage and retrieval. Newer technologies based on NoSQL architectures may provide significant advantages in storage and query efficiency, thereby reducing the cost of data management. But their relative advantage when applied to biomedical data sets, such as genetic data, has not been characterized. To this end, we compared the storage, indexing, and query efficiency of a common relational database (MySQL), a document-oriented NoSQL database (MongoDB), and a relational database with NoSQL support (PostgreSQL). When used to store genomic annotations from the dbSNP database, we found the NoSQL architectures to outperform traditional, relational models for speed of data storage, indexing, and query retrieval in nearly every operation. These findings strongly support the use of novel database technologies to improve the efficiency of data management within the biological sciences. Copyright © 2016 Elsevier Inc. All rights reserved.

Solving Relational Database Problems with ORDBMS in an Advanced Database Course

ERIC Educational Resources Information Center

Wang, Ming

2011-01-01

This paper introduces how to use the object-relational database management system (ORDBMS) to solve relational database (RDB) problems in an advanced database course. The purpose of the paper is to provide a guideline for database instructors who desire to incorporate the ORDB technology in their traditional database courses. The paper presents…

The opportunities of virtual reality in the rehabilitation of children with attention deficit hyperactivity disorder: a literature review

PubMed Central

Bashiri, Azadeh; Ghazisaeedi, Marjan

2017-01-01

Attention deficit hyperactivity disorder (ADHD) is one of the most common psychiatric disorders in childhood. This disorder, in addition to its main symptoms, creates significant difficulties in education, social performance, and personal relationships. Given the importance of rehabilitation for these patients to combat the above issues, the use of virtual reality (VR) technology is helpful. The aim of this study was to highlight the opportunities for VR in the rehabilitation of children with ADHD. This narrative review was conducted by searching for articles in scientific databases and e-Journals, using keywords including VR, children, and ADHD. Various studies have shown that VR capabilities in the rehabilitation of children with ADHD include providing flexibility in accordance with the patients' requirements; removing distractions and creating an effective and safe environment away from real-life dangers; saving time and money; increasing patients' incentives based on their interests; providing suitable tools to perform different behavioral tests and increase ecological validity; facilitating better understanding of individuals' cognitive deficits and improving them; helping therapists with accurate diagnosis, assessment, and rehabilitation; and improving working memory, executive function, and cognitive processes such as attention in these children. Rehabilitation of children with ADHD is based on behavior and physical patterns and is thus suitable for VR interventions. This technology, by simulating and providing a virtual environment for diagnosis, training, monitoring, assessment and treatment, is effective in providing optimal rehabilitation of children with ADHD. PMID:29234356

The opportunities of virtual reality in the rehabilitation of children with attention deficit hyperactivity disorder: a literature review.

PubMed

Bashiri, Azadeh; Ghazisaeedi, Marjan; Shahmoradi, Leila

2017-11-01

Attention deficit hyperactivity disorder (ADHD) is one of the most common psychiatric disorders in childhood. This disorder, in addition to its main symptoms, creates significant difficulties in education, social performance, and personal relationships. Given the importance of rehabilitation for these patients to combat the above issues, the use of virtual reality (VR) technology is helpful. The aim of this study was to highlight the opportunities for VR in the rehabilitation of children with ADHD. This narrative review was conducted by searching for articles in scientific databases and e-Journals, using keywords including VR, children, and ADHD. Various studies have shown that VR capabilities in the rehabilitation of children with ADHD include providing flexibility in accordance with the patients' requirements; removing distractions and creating an effective and safe environment away from real-life dangers; saving time and money; increasing patients' incentives based on their interests; providing suitable tools to perform different behavioral tests and increase ecological validity; facilitating better understanding of individuals' cognitive deficits and improving them; helping therapists with accurate diagnosis, assessment, and rehabilitation; and improving working memory, executive function, and cognitive processes such as attention in these children. Rehabilitation of children with ADHD is based on behavior and physical patterns and is thus suitable for VR interventions. This technology, by simulating and providing a virtual environment for diagnosis, training, monitoring, assessment and treatment, is effective in providing optimal rehabilitation of children with ADHD.

A Toolkit for Active Object-Oriented Databases with Application to Interoperability

NASA Technical Reports Server (NTRS)

King, Roger

1996-01-01

In our original proposal we stated that our research would 'develop a novel technology that provides a foundation for collaborative information processing.' The essential ingredient of this technology is the notion of 'deltas,' which are first-class values representing collections of proposed updates to a database. The Heraclitus framework provides a variety of algebraic operators for building up, combining, inspecting, and comparing deltas. Deltas can be directly applied to the database to yield a new state, or used 'hypothetically' in queries against the state that would arise if the delta were applied. The central point here is that the step of elevating deltas to 'first-class' citizens in database programming languages will yield tremendous leverage on the problem of supporting updates in collaborative information processing. In short, our original intention was to develop the theoretical and practical foundation for a technology based on deltas in an object-oriented database context, develop a toolkit for active object-oriented databases, and apply this toward collaborative information processing.

A Toolkit for Active Object-Oriented Databases with Application to Interoperability

NASA Technical Reports Server (NTRS)

King, Roger

1996-01-01

In our original proposal we stated that our research would 'develop a novel technology that provides a foundation for collaborative information processing.' The essential ingredient of this technology is the notion of 'deltas,' which are first-class values representing collections of proposed updates to a database. The Heraclitus framework provides a variety of algebraic operators for building up, combining, inspecting, and comparing deltas. Deltas can be directly applied to the database to yield a new state, or used 'hypothetically' in queries against the state that would arise if the delta were applied. The central point here is that the step of elevating deltas to 'first-class' citizens in database programming languages will yield tremendous leverage on the problem of supporting updates in collaborative information processing. In short, our original intention was to develop the theoretical and practical foundation for a technology based on deltas in an object- oriented database context, develop a toolkit for active object-oriented databases, and apply this toward collaborative information processing.

Healthcare Databases in Thailand and Japan: Potential Sources for Health Technology Assessment Research

PubMed Central

Saokaew, Surasak; Sugimoto, Takashi; Kamae, Isao; Pratoomsoot, Chayanin; Chaiyakunapruk, Nathorn

2015-01-01

Background Health technology assessment (HTA) has been continuously used for value-based healthcare decisions over the last decade. Healthcare databases represent an important source of information for HTA, which has seen a surge in use in Western countries. Although HTA agencies have been established in Asia-Pacific region, application and understanding of healthcare databases for HTA is rather limited. Thus, we reviewed existing databases to assess their potential for HTA in Thailand where HTA has been used officially and Japan where HTA is going to be officially introduced. Method Existing healthcare databases in Thailand and Japan were compiled and reviewed. Databases’ characteristics e.g. name of database, host, scope/objective, time/sample size, design, data collection method, population/sample, and variables were described. Databases were assessed for its potential HTA use in terms of safety/efficacy/effectiveness, social/ethical, organization/professional, economic, and epidemiological domains. Request route for each database was also provided. Results Forty databases– 20 from Thailand and 20 from Japan—were included. These comprised of national censuses, surveys, registries, administrative data, and claimed databases. All databases were potentially used for epidemiological studies. In addition, data on mortality, morbidity, disability, adverse events, quality of life, service/technology utilization, length of stay, and economics were also found in some databases. However, access to patient-level data was limited since information about the databases was not available on public sources. Conclusion Our findings have shown that existing databases provided valuable information for HTA research with limitation on accessibility. Mutual dialogue on healthcare database development and usage for HTA among Asia-Pacific region is needed. PMID:26560127

Video Discs in Libraries.

ERIC Educational Resources Information Center

Barker, Philip

1986-01-01

Discussion of developments in information storage technology likely to have significant impact upon library utilization focuses on hardware (videodisc technology) and software developments (knowledge databases; computer networks; database management systems; interactive video, computer, and multimedia user interfaces). Three generic computer-based…

The use of intelligent database systems in acute pancreatitis--a systematic review.

PubMed

van den Heever, Marc; Mittal, Anubhav; Haydock, Matthew; Windsor, John

2014-01-01

Acute pancreatitis (AP) is a complex disease with multiple aetiological factors, wide ranging severity, and multiple challenges to effective triage and management. Databases, data mining and machine learning algorithms (MLAs), including artificial neural networks (ANNs), may assist by storing and interpreting data from multiple sources, potentially improving clinical decision-making. 1) Identify database technologies used to store AP data, 2) collate and categorise variables stored in AP databases, 3) identify the MLA technologies, including ANNs, used to analyse AP data, and 4) identify clinical and non-clinical benefits and obstacles in establishing a national or international AP database. Comprehensive systematic search of online reference databases. The predetermined inclusion criteria were all papers discussing 1) databases, 2) data mining or 3) MLAs, pertaining to AP, independently assessed by two reviewers with conflicts resolved by a third author. Forty-three papers were included. Three data mining technologies and five ANN methodologies were reported in the literature. There were 187 collected variables identified. ANNs increase accuracy of severity prediction, one study showed ANNs had a sensitivity of 0.89 and specificity of 0.96 six hours after admission--compare APACHE II (cutoff score ≥8) with 0.80 and 0.85 respectively. Problems with databases were incomplete data, lack of clinical data, diagnostic reliability and missing clinical data. This is the first systematic review examining the use of databases, MLAs and ANNs in the management of AP. The clinical benefits these technologies have over current systems and other advantages to adopting them are identified. Copyright © 2013 IAP and EPC. Published by Elsevier B.V. All rights reserved.

Potential use of routine databases in health technology assessment.

PubMed

Raftery, J; Roderick, P; Stevens, A

2005-05-01

To develop criteria for classifying databases in relation to their potential use in health technology (HT) assessment and to apply them to a list of databases of relevance in the UK. To explore the extent to which prioritized databases could pick up those HTs being assessed by the National Coordinating Centre for Health Technology Assessment (NCCHTA) and the extent to which these databases have been used in HT assessment. To explore the validation of the databases and their cost. Electronic databases. Key literature sources. Experienced users of routine databases. A 'first principles' examination of the data necessary for each type of HT assessment was carried out, supplemented by literature searches and a historical review. The principal investigators applied the criteria to the databases. Comments of the 'keepers' of the prioritized databases were incorporated. Details of 161 topics funded by the NHS R&D Health Technology Assessment (HTA) programme were reviewed iteratively by the principal investigators. Uses of databases in HTAs were identified by literature searches, which included the title of each prioritized database as a keyword. Annual reports of databases were examined and 'keepers' queried. The validity of each database was assessed using criteria based on a literature search and involvement by the authors in a national academic network. The costs of databases were established from annual reports, enquiries to 'keepers' of databases and 'guesstimates' based on cost per record. For assessing effectiveness, equity and diffusion, routine databases were classified into three broad groups: (1) group I databases, identifying both HTs and health states, (2) group II databases, identifying the HTs, but not a health state, and (3) group III databases, identifying health states, but not an HT. Group I datasets were disaggregated into clinical registries, clinical administrative databases and population-oriented databases. Group III were disaggregated into adverse event reporting, confidential enquiries, disease-only registers and health surveys. Databases in group I can be used not only to assess effectiveness but also to assess diffusion and equity. Databases in group II can only assess diffusion. Group III has restricted scope for assessing HTs, except for analysis of adverse events. For use in costing, databases need to include unit costs or prices. Some databases included unit cost as well as a specific HT. A list of around 270 databases was identified at the level of UK, England and Wales or England (over 1000 including Scotland, Wales and Northern Ireland). Allocation of these to the above groups identified around 60 databases with some potential for HT assessment, roughly half to group I. Eighteen clinical registers were identified as having the greatest potential although the clinical administrative datasets had potential mainly owing to their inclusion of a wide range of technologies. Only two databases were identified that could directly be used in costing. The review of the potential capture of HTs prioritized by the UK's NHS R&D HTA programme showed that only 10% would be captured in these databases, mainly drugs prescribed in primary care. The review of the use of routine databases in any form of HT assessment indicated that clinical registers were mainly used for national comparative audit. Some databases have only been used in annual reports, usually time trend analysis. A few peer-reviewed papers used a clinical register to assess the effectiveness of a technology. Accessibility is suggested as a barrier to using most databases. Clinical administrative databases (group Ib) have mainly been used to build population needs indices and performance indicators. A review of the validity of used databases showed that although internal consistency checks were common, relatively few had any form of external audit. Some comparative audit databases have data scrutinised by participating units. Issues around coverage and coding have, in general, received little attention. NHS funding of databases has been mainly for 'Central Returns' for management purposes, which excludes those databases with the greatest potential for HT assessment. Funding for databases was various, but some are unfunded, relying on goodwill. The estimated total cost of databases in group I plus selected databases from groups II and III has been estimated at pound 50 million or around 0.1% of annual NHS spend. A few databases with limited potential for HT assessment account for the bulk of spending. Suggestions for policy include clarification of responsibility for the strategic development of databases, improved resourcing, and issues around coding, confidentiality, ownership and access, maintenance of clinical support, optimal use of information technology, filling gaps and remedying deficiencies. Recommendations for researchers include closer policy links between routine data and R&D, and selective investment in the more promising databases. Recommended research topics include optimal capture and coding of the range of HTs, international comparisons of the role, funding and use of routine data in healthcare systems and use of routine database in trials and in modelling. Independent evaluations are recommended for information strategies (such as those around the National Service Frameworks and various collaborations) and for electronic patient and health records.

Home care technology through an ability expectation lens.

PubMed

Wolbring, Gregor; Lashewicz, Bonnie

2014-06-20

Home care is on the rise, and its delivery is increasingly reliant on an expanding variety of health technologies ranging from computers to telephone "health apps" to social robots. These technologies are most often predicated on expectations that people in their homes (1) can actively interact with these technologies and (2) are willing to submit to the action of the technology in their home. Our purpose is to use an "ability expectations" lens to bring together, and provide some synthesis of, the types of utility and disadvantages that can arise for people with disabilities in relation to home care technology development and use. We searched the academic databases Scopus, Web of Science, EBSCO ALL, IEEE Xplore, and Compendex to collect articles that had the term "home care technology" in the abstract or as a topic (in the case of Web of Science). We also used our background knowledge and related academic literature pertaining to self-diagnosis, health monitoring, companionship, health information gathering, and care. We examined background articles and articles collected through our home care technology search in terms of ability expectations assumed in the presentation of home care technologies, or discussed in relation to home care technologies. While advances in health care support are made possible through emerging technologies, we urge critical examination of such technologies in terms of implications for the rights and dignity of people with diverse abilities. Specifically, we see potential for technologies to result in new forms of exclusion and powerlessness. Ableism influences choices made by funders, policy makers, and the public in the development and use of home health technologies and impacts how people with disabilities are served and how useful health support technologies will be for them. We urge continued critical examination of technology development and use according to ability expectations, and we recommend increasing incorporation of participatory design processes to counteract potential for health support technology to render people with disabilities technologically excluded and powerless.

Assessment Tools for Use in Patients with Ménière Disease: An Update.

PubMed

Ciorba, Andrea; Skarżyński, Piotr Henryk; Corazzi, Virginia; Bianchini, Chiara; Aimoni, Claudia; Hatzopoulos, Stavros

2017-12-28

A number of electrophysiological tests have been proposed for the initial diagnostic assessment or for the follow-up phase of patients affected by Ménière disease. The most common are: (i) vestibular evoked myogenic potentials (VEMPs); (ii) electrocochleography (ECochG); and (iii) otoacoustic emissions (OAEs). This paper presents the latest clinical developments with these 3 testing modalities. The PubMed, Embase, and Cinahl databases were searched from 2006 to December 2016. Full-text articles were obtained in cases where the title, abstract, or key words suggested that the study may be eligible for this review. The medical subject heading (MeSH) terms included the following: Ménière, hearing threshold, vestibule, otoacoustic emissions, inner ear, ECochG, VEMPs. There were 368 identified papers, out of which 87 were eligible for inclusion. Overall the data in the literature are still limited and the recommended procedures have not reached an international consensus. From the available data, one can conclude that none of the electrophysiological tests could be considered as pathognomonic, for the diagnosis of Ménière disease: presently, the tests could be mostly used in a supportive role to the clinical diagnosis. Hopefully, in the future, improved technology in electrophysiological testing could contribute to the development of better strategies for the diagnosis of Ménière disease.

E-Learning for Rare Diseases: An Example Using Fabry Disease.

PubMed

Cimmaruta, Chiara; Liguori, Ludovica; Monticelli, Maria; Andreotti, Giuseppina; Citro, Valentina

2017-09-24

Rare diseases represent a challenge for physicians because patients are rarely seen, and they can manifest with symptoms similar to those of common diseases. In this work, genetic confirmation of diagnosis is derived from DNA sequencing. We present a tutorial for the molecular analysis of a rare disease using Fabry disease as an example. An exonic sequence derived from a hypothetical male patient was matched against human reference data using a genome browser. The missense mutation was identified by running BlastX, and information on the affected protein was retrieved from the database UniProt. The pathogenic nature of the mutation was assessed with PolyPhen-2. Disease-specific databases were used to assess whether the missense mutation led to a severe phenotype, and whether pharmacological therapy was an option. An inexpensive bioinformatics approach is presented to get the reader acquainted with the diagnosis of Fabry disease. The reader is introduced to the field of pharmacological chaperones, a therapeutic approach that can be applied only to certain Fabry genotypes. The principle underlying the analysis of exome sequencing can be explained in simple terms using web applications and databases which facilitate diagnosis and therapeutic choices.

Technology and the Modern Library.

ERIC Educational Resources Information Center

Boss, Richard W.

1984-01-01

Overview of the impact of information technology on libraries highlights turnkey vendors, bibliographic utilities, commercial suppliers of records, state and regional networks, computer-to-computer linkages, remote database searching, terminals and microcomputers, building local databases, delivery of information, digital telefacsimile,…

Home Care Technology Through an Ability Expectation Lens

PubMed Central

2014-01-01

Home care is on the rise, and its delivery is increasingly reliant on an expanding variety of health technologies ranging from computers to telephone “health apps” to social robots. These technologies are most often predicated on expectations that people in their homes (1) can actively interact with these technologies and (2) are willing to submit to the action of the technology in their home. Our purpose is to use an “ability expectations” lens to bring together, and provide some synthesis of, the types of utility and disadvantages that can arise for people with disabilities in relation to home care technology development and use. We searched the academic databases Scopus, Web of Science, EBSCO ALL, IEEE Xplore, and Compendex to collect articles that had the term “home care technology” in the abstract or as a topic (in the case of Web of Science). We also used our background knowledge and related academic literature pertaining to self-diagnosis, health monitoring, companionship, health information gathering, and care. We examined background articles and articles collected through our home care technology search in terms of ability expectations assumed in the presentation of home care technologies, or discussed in relation to home care technologies. While advances in health care support are made possible through emerging technologies, we urge critical examination of such technologies in terms of implications for the rights and dignity of people with diverse abilities. Specifically, we see potential for technologies to result in new forms of exclusion and powerlessness. Ableism influences choices made by funders, policy makers, and the public in the development and use of home health technologies and impacts how people with disabilities are served and how useful health support technologies will be for them. We urge continued critical examination of technology development and use according to ability expectations, and we recommend increasing incorporation of participatory design processes to counteract potential for health support technology to render people with disabilities technologically excluded and powerless. PMID:24956581

[Construction and application of special analysis database of geoherbs based on 3S technology].

PubMed

Guo, Lan-ping; Huang, Lu-qi; Lv, Dong-mei; Shao, Ai-juan; Wang, Jian

2007-09-01

In this paper,the structures, data sources, data codes of "the spacial analysis database of geoherbs" based 3S technology are introduced, and the essential functions of the database, such as data management, remote sensing, spacial interpolation, spacial statistics, spacial analysis and developing are described. At last, two examples for database usage are given, the one is classification and calculating of NDVI index of remote sensing image in geoherbal area of Atractylodes lancea, the other one is adaptation analysis of A. lancea. These indicate that "the spacial analysis database of geoherbs" has bright prospect in spacial analysis of geoherbs.

Generalized Database Management System Support for Numeric Database Environments.

ERIC Educational Resources Information Center

Dominick, Wayne D.; Weathers, Peggy G.

1982-01-01

This overview of potential for utilizing database management systems (DBMS) within numeric database environments highlights: (1) major features, functions, and characteristics of DBMS; (2) applicability to numeric database environment needs and user needs; (3) current applications of DBMS technology; and (4) research-oriented and…

[Application of atomic absorption spectrometry in the engine knock detection].

PubMed

Chen, Li-Dan

2013-02-01

Because existing human experience diagnosis method and apparatus for auxiliary diagnosis method are difficult to diagnose quickly engine knock. Atomic absorption spectrometry was used to detect the automobile engine knock in in innovative way. After having determined Fe, Al, Cu, Cr and Pb content in the 35 groups of Audi A6 engine oil whose travel course is 2 000 -70 000 kilometers and whose sampling interval is 2 000 kilometers by atomic absorption spectrometry, the database of primary metal content in the same automobile engine at different mileage was established. The research shows that the main metal content fluctuates within a certain range. In practical engineering applications, after the determination of engine oil main metal content and comparison with its database value, it can not only help to diagnose the type and location of engine knock without the disintegration and reduce vehicle maintenance costs and improve the accuracy of engine knock fault diagnosis.

[A Terahertz Spectral Database Based on Browser/Server Technique].

PubMed

Zhang, Zhuo-yong; Song, Yue

2015-09-01

With the solution of key scientific and technical problems and development of instrumentation, the application of terahertz technology in various fields has been paid more and more attention. Owing to the unique characteristic advantages, terahertz technology has been showing a broad future in the fields of fast, non-damaging detections, as well as many other fields. Terahertz technology combined with other complementary methods can be used to cope with many difficult practical problems which could not be solved before. One of the critical points for further development of practical terahertz detection methods depends on a good and reliable terahertz spectral database. We developed a BS (browser/server) -based terahertz spectral database recently. We designed the main structure and main functions to fulfill practical requirements. The terahertz spectral database now includes more than 240 items, and the spectral information was collected based on three sources: (1) collection and citation from some other abroad terahertz spectral databases; (2) collected from published literatures; and (3) spectral data measured in our laboratory. The present paper introduced the basic structure and fundament functions of the terahertz spectral database developed in our laboratory. One of the key functions of this THz database is calculation of optical parameters. Some optical parameters including absorption coefficient, refractive index, etc. can be calculated based on the input THz time domain spectra. The other main functions and searching methods of the browser/server-based terahertz spectral database have been discussed. The database search system can provide users convenient functions including user registration, inquiry, displaying spectral figures and molecular structures, spectral matching, etc. The THz database system provides an on-line searching function for registered users. Registered users can compare the input THz spectrum with the spectra of database, according to the obtained correlation coefficient one can perform the searching task very fast and conveniently. Our terahertz spectral database can be accessed at http://www.teralibrary.com. The proposed terahertz spectral database is based on spectral information so far, and will be improved in the future. We hope this terahertz spectral database can provide users powerful, convenient, and high efficient functions, and could promote the broader applications of terahertz technology.

Case retrieval in medical databases by fusing heterogeneous information.

PubMed

Quellec, Gwénolé; Lamard, Mathieu; Cazuguel, Guy; Roux, Christian; Cochener, Béatrice

2011-01-01

A novel content-based heterogeneous information retrieval framework, particularly well suited to browse medical databases and support new generation computer aided diagnosis (CADx) systems, is presented in this paper. It was designed to retrieve possibly incomplete documents, consisting of several images and semantic information, from a database; more complex data types such as videos can also be included in the framework. The proposed retrieval method relies on image processing, in order to characterize each individual image in a document by their digital content, and information fusion. Once the available images in a query document are characterized, a degree of match, between the query document and each reference document stored in the database, is defined for each attribute (an image feature or a metadata). A Bayesian network is used to recover missing information if need be. Finally, two novel information fusion methods are proposed to combine these degrees of match, in order to rank the reference documents by decreasing relevance for the query. In the first method, the degrees of match are fused by the Bayesian network itself. In the second method, they are fused by the Dezert-Smarandache theory: the second approach lets us model our confidence in each source of information (i.e., each attribute) and take it into account in the fusion process for a better retrieval performance. The proposed methods were applied to two heterogeneous medical databases, a diabetic retinopathy database and a mammography screening database, for computer aided diagnosis. Precisions at five of 0.809 ± 0.158 and 0.821 ± 0.177, respectively, were obtained for these two databases, which is very promising.

Relational Data Bases--Are You Ready?

ERIC Educational Resources Information Center

Marshall, Dorothy M.

1989-01-01

Migrating from a traditional to a relational database technology requires more than traditional project management techniques. An overview of what to consider before migrating to relational database technology is presented. Leadership, staffing, vendor support, hardware, software, and application development are discussed. (MLW)

Design and development of a multimedia database for emergency telemedicine.

PubMed

Pavlopoulos, S; Berler, A; Kyriacou, E; Koutsouris, D

1998-09-01

Recent studies conclude that early and specialised pre-hospital patient management contributes to emergency cases survival. Recent developments in telecommunication and medical informatics by means of telemedicine can be extremely useful to accomplish such tasks in a cost-effective manner. Along that direction, we have designed a portable device for emergency telemedicine. This device is able to telematically "bring" the expert doctor at the emergency site, have him perform an accurate diagnosis, and subsequently direct the Emergency Medical Technicians on how to treat the patient until he arrives to the hospital. The need for storing and archiving all data being interchanged during the telemedicine sessions is very crucial for clinical, legal and administrative purposes. For this, we have developed a multimedia database able to store and manage the data collected by the AMBULANCE system. The database was equipped with a user-friendly graphical interface to enable use from computer naive users. Furthermore, the database has the possibility to display, in an standard way, ECG's, X-ray, CT and MRI images. The application is password protected with a three-level hierarchy access for users with different privileges. The scope of this application is to enhance the capabilities of the doctor on duty for a more precise and prompt diagnosis. The application has the ability to store audio files related to each emergency case and still images of the scene. Finally, this database can become a useful multimedia tool which will work together with the AMBULANCE portable device, the HIS and the PACS of the hospital. The system has been validated in selected non-critical cases and proved to be functional and successful in enhancing the ability of the doctor's on duty for prompt and accurate diagnosis and specialised pre-hospital treatment.

Quality of data regarding diagnoses of spinal disorders in administrative databases. A multicenter study.

PubMed

Faciszewski, T; Broste, S K; Fardon, D

1997-10-01

The purpose of the present study was to evaluate the accuracy of data regarding diagnoses of spinal disorders in administrative databases at eight different institutions. The records of 189 patients who had been managed for a disorder of the lumbar spine were independently reviewed by a physician who assigned the appropriate diagnostic codes according to the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM). The age range of the 189 patients was seventeen to eighty-four years. The six major diagnostic categories studied were herniation of a lumbar disc, a previous operation on the lumbar spine, spinal stenosis, cauda equina syndrome, acquired spondylolisthesis, and congenital spondylolisthesis. The diagnostic codes assigned by the physician were compared with the codes that had been assigned during the ordinary course of events by personnel in the medical records department of each of the eight hospitals. The accuracy of coding was also compared among the eight hospitals, and it was found to vary depending on the diagnosis. Although there were both false-negative and false-positive codes at each institution, most errors were related to the low sensitivity of coding for previous spinal operations: only seventeen (28 per cent) of sixty-one such diagnoses were coded correctly. Other errors in coding were less frequent, but their implications for conclusions drawn from the information in administrative databases depend on the frequency of a diagnosis and its importance in an analysis. This study demonstrated that the accuracy of a diagnosis of a spinal disorder recorded in an administrative database varies according to the specific condition being evaluated. It is necessary to document the relative accuracy of specific ICD-9-CM diagnostic codes in order to improve the ability to validate the conclusions derived from investigations based on administrative databases.

Solar Sail Propulsion Technology Readiness Level Database

NASA Technical Reports Server (NTRS)

Adams, Charles L.

2004-01-01

The NASA In-Space Propulsion Technology (ISPT) Projects Office has been sponsoring 2 solar sail system design and development hardware demonstration activities over the past 20 months. Able Engineering Company (AEC) of Goleta, CA is leading one team and L Garde, Inc. of Tustin, CA is leading the other team. Component, subsystem and system fabrication and testing has been completed successfully. The goal of these activities is to advance the technology readiness level (TRL) of solar sail propulsion from 3 towards 6 by 2006. These activities will culminate in the deployment and testing of 20-meter solar sail system ground demonstration hardware in the 30 meter diameter thermal-vacuum chamber at NASA Glenn Plum Brook in 2005. This paper will describe the features of a computer database system that documents the results of the solar sail development activities to-date. Illustrations of the hardware components and systems, test results, analytical models, relevant space environment definition and current TRL assessment, as stored and manipulated within the database are presented. This database could serve as a central repository for all data related to the advancement of solar sail technology sponsored by the ISPT, providing an up-to-date assessment of the TRL of this technology. Current plans are to eventually make the database available to the Solar Sail community through the Space Transportation Information Network (STIN).

A Database for Decision-Making in Training and Distributed Learning Technology

DTIC Science & Technology

1998-04-01

developer must answer these questions: ♦ Who will develop the courseware? Should we outsource ? ♦ What media should we use? How much will it cost? ♦ What...to develop , the database can be useful for answering staffing questions and planning transitions to technology- assisted courses. The database...of distributed learning curricula in com- parison to traditional methods. To develop a military-wide distributed learning plan, the existing course

High-Resolution Chromosome Ideogram Representation of Currently Recognized Genes for Autism Spectrum Disorders

PubMed Central

Butler, Merlin G.; Rafi, Syed K.; Manzardo, Ann M.

2015-01-01

Recently, autism-related research has focused on the identification of various genes and disturbed pathways causing the genetically heterogeneous group of autism spectrum disorders (ASD). The list of autism-related genes has significantly increased due to better awareness with advances in genetic technology and expanding searchable genomic databases. We compiled a master list of known and clinically relevant autism spectrum disorder genes identified with supporting evidence from peer-reviewed medical literature sources by searching key words related to autism and genetics and from authoritative autism-related public access websites, such as the Simons Foundation Autism Research Institute autism genomic database dedicated to gene discovery and characterization. Our list consists of 792 genes arranged in alphabetical order in tabular form with gene symbols placed on high-resolution human chromosome ideograms, thereby enabling clinical and laboratory geneticists and genetic counsellors to access convenient visual images of the location and distribution of ASD genes. Meaningful correlations of the observed phenotype in patients with suspected/confirmed ASD gene(s) at the chromosome region or breakpoint band site can be made to inform diagnosis and gene-based personalized care and provide genetic counselling for families. PMID:25803107

WEB-BASED DATABASE ON RENEWAL TECHNOLOGIES ...

EPA Pesticide Factsheets

As U.S. utilities continue to shore up their aging infrastructure, renewal needs now represent over 43% of annual expenditures compared to new construction for drinking water distribution and wastewater collection systems (Underground Construction [UC], 2016). An increased understanding of renewal options will ultimately assist drinking water utilities in reducing water loss and help wastewater utilities to address infiltration and inflow issues in a cost-effective manner. It will also help to extend the service lives of both drinking water and wastewater mains. This research effort involved collecting case studies on the use of various trenchless pipeline renewal methods and providing the information in an online searchable database. The overall objective was to further support technology transfer and information sharing regarding emerging and innovative renewal technologies for water and wastewater mains. The result of this research is a Web-based, searchable database that utility personnel can use to obtain technology performance and cost data, as well as case study references. The renewal case studies include: technologies used; the conditions under which the technology was implemented; costs; lessons learned; and utility contact information. The online database also features a data mining tool for automated review of the technologies selected and cost data. Based on a review of the case study results and industry data, several findings are presented on tren

Nuclear science abstracts (NSA) database 1948--1974 (on the Internet)

DOE Office of Scientific and Technical Information (OSTI.GOV)

NONE

Nuclear Science Abstracts (NSA) is a comprehensive abstract and index collection of the International Nuclear Science and Technology literature for the period 1948 through 1976. Included are scientific and technical reports of the US Atomic Energy Commission, US Energy Research and Development Administration and its contractors, other agencies, universities, and industrial and research organizations. Coverage of the literature since 1976 is provided by Energy Science and Technology Database. Approximately 25% of the records in the file contain abstracts. These are from the following volumes of the print Nuclear Science Abstracts: Volumes 12--18, Volume 29, and Volume 33. The database containsmore » over 900,000 bibliographic records. All aspects of nuclear science and technology are covered, including: Biomedical Sciences; Metals, Ceramics, and Other Materials; Chemistry; Nuclear Materials and Waste Management; Environmental and Earth Sciences; Particle Accelerators; Engineering; Physics; Fusion Energy; Radiation Effects; Instrumentation; Reactor Technology; Isotope and Radiation Source Technology. The database includes all records contained in Volume 1 (1948) through Volume 33 (1976) of the printed version of Nuclear Science Abstracts (NSA). This worldwide coverage includes books, conference proceedings, papers, patents, dissertations, engineering drawings, and journal literature. This database is now available for searching through the GOV. Research Center (GRC) service. GRC is a single online web-based search service to well known Government databases. Featuring powerful search and retrieval software, GRC is an important research tool. The GRC web site is at http://grc.ntis.gov.« less

MECP2 variation in Rett syndrome-An overview of current coverage of genetic and phenotype data within existing databases.

PubMed

Townend, Gillian S; Ehrhart, Friederike; van Kranen, Henk J; Wilkinson, Mark; Jacobsen, Annika; Roos, Marco; Willighagen, Egon L; van Enckevort, David; Evelo, Chris T; Curfs, Leopold M G

2018-04-27

Rett syndrome (RTT) is a monogenic rare disorder that causes severe neurological problems. In most cases, it results from a loss-of-function mutation in the gene encoding methyl-CPG-binding protein 2 (MECP2). Currently, about 900 unique MECP2 variations (benign and pathogenic) have been identified and it is suspected that the different mutations contribute to different levels of disease severity. For researchers and clinicians, it is important that genotype-phenotype information is available to identify disease-causing mutations for diagnosis, to aid in clinical management of the disorder, and to provide counseling for parents. In this study, 13 genotype-phenotype databases were surveyed for their general functionality and availability of RTT-specific MECP2 variation data. For each database, we investigated findability and interoperability alongside practical user functionality, and type and amount of genetic and phenotype data. The main conclusions are that, as well as being challenging to find these databases and specific MECP2 variants held within, interoperability is as yet poorly developed and requires effort to search across databases. Nevertheless, we found several thousand online database entries for MECP2 variations and their associated phenotypes, diagnosis, or predicted variant effects, which is a good starting point for researchers and clinicians who want to provide, annotate, and use the data. © 2018 The Authors. Human Mutation published by Wiley Periodicals, Inc.

Molecular Diagnostics in Pathology: Time for a Next-Generation Pathologist?

PubMed

Fassan, Matteo

2018-03-01

- Comprehensive molecular investigations of mainstream carcinogenic processes have led to the use of effective molecular targeted agents in most cases of solid tumors in clinical settings. - To update readers regarding the evolving role of the pathologist in the therapeutic decision-making process and the introduction of next-generation technologies into pathology practice. - Current literature on the topic, primarily sourced from the PubMed (National Center for Biotechnology Information, Bethesda, Maryland) database, were reviewed. - Adequate evaluation of cytologic-based and tissue-based predictive diagnostic biomarkers largely depends on both proper pathologic characterization and customized processing of biospecimens. Moreover, increased requests for molecular testing have paralleled the recent, sharp decrease in tumor material to be analyzed-material that currently comprises cytology specimens or, at minimum, small biopsies in most cases of metastatic/advanced disease. Traditional diagnostic pathology has been completely revolutionized by the introduction of next-generation technologies, which provide multigene, targeted mutational profiling, even in the most complex of clinical cases. Combining traditional and molecular knowledge, pathologists integrate the morphological, clinical, and molecular dimensions of a disease, leading to a proper diagnosis and, therefore, the most-appropriate tailored therapy.

Reimbursements for telehealth services are likely to be lower than non-telehealth services in the United States.

PubMed

Wilson, Fernando A; Rampa, Sankeerth; Trout, Kate E; Stimpson, Jim P

2017-05-01

Telehealth technologies promise to increase access to care, particularly in underserved communities. However, little is known about how private payer reimbursements vary between telehealth and non-telehealth services. We use the largest private claims database in the United States provided by the Health Care Cost Institute to identify telehealth claims and compare average reimbursements to non-telehealth claims. We find average reimbursements for telehealth services are significantly lower than those for non-telehealth for seven of the ten most common services. For example, telehealth reimbursements for office visits for evaluation and management of established patients with low complexity were 30% lower than the corresponding non-telehealth service. Reimbursements by clinical diagnosis code also tended to be lower for telehealth than non-telehealth claims. Widespread adoption of telehealth may be hampered by lower reimbursements for telehealth services relative to face-to-face services. This may result in lower incentives for providers to invest in telehealth technologies that do not result in significant cost savings to their practice, even if telehealth improves patient outcomes.

Report on the Human Genome Initiative for the Office of Health and Environmental Research

DOE R&D Accomplishments Database

Tinoco, I.; Cahill, G.; Cantor, C.; Caskey, T.; Dulbecco, R.; Engelhardt, D. L.; Hood, L.; Lerman, L. S.; Mendelsohn, M. L.; Sinsheimer, R. L.; Smith, T.; Soll, D.; Stormo, G.; White, R. L.

1987-04-01

The report urges DOE and the Nation to commit to a large, multi-year, multidisciplinary, technological undertaking to order and sequence the human genome. This effort will first require significant innovation in general capability to manipulate DNA, major new analytical methods for ordering and sequencing, theoretical developments in computer science and mathematical biology, and great expansions in our ability to store and manipulate the information and to interface it with other large and diverse genetic databases. The actual ordering and sequencing involves the coordinated processing of some 3 billion bases from a reference human genome. Science is poised on the rudimentary edge of being able to read and understand human genes. A concerted, broadly based, scientific effort to provide new methods of sufficient power and scale should transform this activity from an inefficient one-gene-at-a-time, single laboratory effort into a coordinated, worldwide, comprehensive reading of "the book of man". The effort will be extraordinary in scope and magnitude, but so will be the benefit to biological understanding, new technology and the diagnosis and treatment of human disease.

Technical evaluation of methods for identifying chemotherapy-induced febrile neutropenia in healthcare claims databases.

PubMed

Weycker, Derek; Sofrygin, Oleg; Seefeld, Kim; Deeter, Robert G; Legg, Jason; Edelsberg, John

2013-02-13

Healthcare claims databases have been used in several studies to characterize the risk and burden of chemotherapy-induced febrile neutropenia (FN) and effectiveness of colony-stimulating factors against FN. The accuracy of methods previously used to identify FN in such databases has not been formally evaluated. Data comprised linked electronic medical records from Geisinger Health System and healthcare claims data from Geisinger Health Plan. Subjects were classified into subgroups based on whether or not they were hospitalized for FN per the presumptive "gold standard" (ANC <1.0×10(9)/L, and body temperature ≥38.3°C or receipt of antibiotics) and claims-based definition (diagnosis codes for neutropenia, fever, and/or infection). Accuracy was evaluated principally based on positive predictive value (PPV) and sensitivity. Among 357 study subjects, 82 (23%) met the gold standard for hospitalized FN. For the claims-based definition including diagnosis codes for neutropenia plus fever in any position (n=28), PPV was 100% and sensitivity was 34% (95% CI: 24-45). For the definition including neutropenia in the primary position (n=54), PPV was 87% (78-95) and sensitivity was 57% (46-68). For the definition including neutropenia in any position (n=71), PPV was 77% (68-87) and sensitivity was 67% (56-77). Patients hospitalized for chemotherapy-induced FN can be identified in healthcare claims databases--with an acceptable level of mis-classification--using diagnosis codes for neutropenia, or neutropenia plus fever.

Contourlet textual features: improving the diagnosis of solitary pulmonary nodules in two dimensional CT images.

PubMed

Wang, Jingjing; Sun, Tao; Gao, Ni; Menon, Desmond Dev; Luo, Yanxia; Gao, Qi; Li, Xia; Wang, Wei; Zhu, Huiping; Lv, Pingxin; Liang, Zhigang; Tao, Lixin; Liu, Xiangtong; Guo, Xiuhua

2014-01-01

To determine the value of contourlet textural features obtained from solitary pulmonary nodules in two dimensional CT images used in diagnoses of lung cancer. A total of 6,299 CT images were acquired from 336 patients, with 1,454 benign pulmonary nodule images from 84 patients (50 male, 34 female) and 4,845 malignant from 252 patients (150 male, 102 female). Further to this, nineteen patient information categories, which included seven demographic parameters and twelve morphological features, were also collected. A contourlet was used to extract fourteen types of textural features. These were then used to establish three support vector machine models. One comprised a database constructed of nineteen collected patient information categories, another included contourlet textural features and the third one contained both sets of information. Ten-fold cross-validation was used to evaluate the diagnosis results for the three databases, with sensitivity, specificity, accuracy, the area under the curve (AUC), precision, Youden index, and F-measure were used as the assessment criteria. In addition, the synthetic minority over-sampling technique (SMOTE) was used to preprocess the unbalanced data. Using a database containing textural features and patient information, sensitivity, specificity, accuracy, AUC, precision, Youden index, and F-measure were: 0.95, 0.71, 0.89, 0.89, 0.92, 0.66, and 0.93 respectively. These results were higher than results derived using the database without textural features (0.82, 0.47, 0.74, 0.67, 0.84, 0.29, and 0.83 respectively) as well as the database comprising only textural features (0.81, 0.64, 0.67, 0.72, 0.88, 0.44, and 0.85 respectively). Using the SMOTE as a pre-processing procedure, new balanced database generated, including observations of 5,816 benign ROIs and 5,815 malignant ROIs, and accuracy was 0.93. Our results indicate that the combined contourlet textural features of solitary pulmonary nodules in CT images with patient profile information could potentially improve the diagnosis of lung cancer.

Referral for Occupational Therapy after Diagnosis of Developmental Disorder by German Child Psychiatrists

ERIC Educational Resources Information Center

Konrad, Marcel; Drosselmeyer, Julia; Kostev, Karel

2016-01-01

Aims: The aims of this study were to assess how many patients received occupational therapy after diagnosis of developmental disorder (DD) in child psychiatrist practices in Germany and which factors influenced the prescription of occupational therapy. Methods: This study was a retrospective database analysis in Germany utilising the Disease…

Differential diagnosis between dementia and psychiatric disorders: Diagnostic criteria and supplementary exams. Recommendations of the Scientific Department of Cognitive Neurology and Aging of the Brazilian Academy of Neurology

PubMed Central

Bottino, Cássio M.C.; de Pádua, Analuiza Camozzato; Smid, Jerusa; Areza-Fegyveres, Renata; Novaretti, Tânia; Bahia, Valeria S.

2011-01-01

In 2005, the Scientific Department of Cognitive Neurology and Aging of the Brazilian Academy of Neurology published recommendations for the diagnosis of Alzheimer's disease These recommendations were updated following a review of evidence retrieved from national and international studies held on PUBMED, SCIELO and LILACS medical databases. The main aims of this review article are as follows: 1) to present the evidence found on Brazilian (LILACS, SCIELO) and International (MEDLINE) databases from articles published up to May 2011, on the differential diagnosis of these psychiatric disorders and dementia, with special focus on Dementia due to Alzheimer's and vascular dementia, including a review of supplementary exams which may facilitate the diagnostic process; and 2) to propose recommendations for use by clinicians and researchers involved in diagnosing patients with dementia. Differential diagnosis between dementia and other neuropsychiatric disorders should always include assessments for depression, delirium, and use of psychoactive substances, as well as investigate the use of benzodiazepines, anti-epileptics and pattern of alcohol consumption. PMID:29213755

Differential diagnosis between dementia and psychiatric disorders: Diagnostic criteria and supplementary exams. Recommendations of the Scientific Department of Cognitive Neurology and Aging of the Brazilian Academy of Neurology.

PubMed

Bottino, Cássio M C; de Pádua, Analuiza Camozzato; Smid, Jerusa; Areza-Fegyveres, Renata; Novaretti, Tânia; Bahia, Valeria S

2011-01-01

In 2005, the Scientific Department of Cognitive Neurology and Aging of the Brazilian Academy of Neurology published recommendations for the diagnosis of Alzheimer's disease These recommendations were updated following a review of evidence retrieved from national and international studies held on PUBMED, SCIELO and LILACS medical databases. The main aims of this review article are as follows: 1) to present the evidence found on Brazilian (LILACS, SCIELO) and International (MEDLINE) databases from articles published up to May 2011, on the differential diagnosis of these psychiatric disorders and dementia, with special focus on Dementia due to Alzheimer's and vascular dementia, including a review of supplementary exams which may facilitate the diagnostic process; and2) to propose recommendations for use by clinicians and researchers involved in diagnosing patients with dementia. Differential diagnosis between dementia and other neuropsychiatric disorders should always include assessments for depression, delirium , and use of psychoactive substances, as well as investigate the use of benzodiazepines, anti-epileptics and pattern of alcohol consumption.

Management and Survival Patterns of Patients with Gliomatosis Cerebri: A SEER-Based Analysis.

PubMed

Carroll, Kate T; Hirshman, Brian; Ali, Mir Amaan; Alattar, Ali A; Brandel, Michael G; Lochte, Bryson; Lanman, Tyler; Carter, Bob; Chen, Clark C

2017-07-01

We used the SEER (Surveillance Epidemiology and End Results) database (1999-2010) to analyze the clinical practice patterns and overall survival in patients with gliomatosis cerebri (GC), or glioma involving 3 or more lobes of the cerebrum. We identified 111 patients (age ≥18 years) with clinically or microscopically diagnosed GC in the SEER database. Analyses were performed to determine clinical practice patterns for these patients and whether these practices were associated with survival. Fifty-eight percent of the 111 patients with GC received microscopic confirmation of their diagnosis. Of the remaining patients, 40% were diagnosed via imaging or laboratory tests, and 2% had unknown methods of diagnosis. Seven percent of patients who did not have microscopic confirmation of their diagnosis received radiation therapy. Radiation therapy and surgery were not associated with survival. The only variable significantly associated with overall survival was age at diagnosis. Patients aged 18-50 years showed improved survival relative to patients aged >50 years (median survival, 11 and 6 months, respectively; P = 0.03). For patients aged >50 years, improved overall survival was observed in the post-temozolomide era (2005-2010) relative to those treated in the pre-temozolomide era (1999-2004) (median survival, 9 and 4 months, respectively; P = 0.005). In the SEER database, ∼40% of the patients with glioma with imaging findings of GC do not receive microscopic confirmation of their diagnosis. We propose that tissue confirmation is warranted in patients with GC, because genomic analysis of these specimens may provide insights that will contribute to meaningful therapeutic intervention. Copyright © 2017 Elsevier Inc. All rights reserved.

Construction of In-house Databases in a Corporation

NASA Astrophysics Data System (ADS)

Senoo, Tetsuo

As computer technology, communication technology and others have progressed, many corporations are likely to locate constructing and utilizing their own databases at the center of the information activities, and aim at developing their information activities newly. This paper considers how information management in a corporation is affected under changing management and technology environments, and clarifies and generalizes what in-house databases should be constructed and utilized from the viewpoints of requirements to be furnished, types and forms of information to be dealt, indexing, use type and frequency, evaluation method and so on. The author outlines an information system of Matsushita called MATIS (Matsushita Technical Information System) as an actual example, and describes the present status and some points to be reminded in constructing and utilizing databases of REP, BOOK and SYMP.

[Concordance in the registry of dementia among the main sources of clinical information].

PubMed

Marta-Moreno, Javier; Obón-Azuara, Blanca; Gimeno-Felíu, Luis; Achkar-Tuglaman, Nesib Nicolás; Poblador-Plou, Beatriz; Calderón-Larrañaga, Amaia; Prados-Torres, Alexandra

2016-01-01

The objective of this work was to analyse the concordance in the registry of dementia among the main sources of clinical information, with the aim of determining their usefulness for epidemiological and clinical research. Descriptive study of patients assigned to the Aragon Health Service in 2010 (n=1,344,891). (i)the pharmacy billing database (n=9,392); (ii)Primary Care electronic health records (EHR) (n=9,471), and (iii)the hospital minimum basic data set (n=3,289). When studying the concordance of the databases, the group of patients with a specific treatment for dementia (i.e., acetylcholinesterase inhibitors and/or memantine) was taken as the reference. The diagnosis in Primary Care was missing for 47.3% of patients taking anti-dementia drugs. The same occurred with 38.3% of dementia patients admitted to hospital during the study year. Among patients with a diagnosis of dementia in the EHR, only half (52.3%) was under treatment for this condition. This percentage decreased to 34.4% in patients with the diagnosis registered in the hospital database. The weak concordance in the registry of the dementia diagnosis between the main health information systems makes their use and analysis more complex, and supports the need to include all available health data sources in order to gain a global picture of the epidemiological and clinical reality of this health condition. Copyright © 2015 SEGG. Publicado por Elsevier España, S.L.U. All rights reserved.

77 FR 71089 - Pilot Loading of Aeronautical Database Updates

Federal Register 2010, 2011, 2012, 2013, 2014

2012-11-29

... the use of newer systems and data-transfer mechanisms such as those employing wireless technology. In... which enables wireless updating of systems and databases. The current regulation does not accommodate... maintenance); Recordkeeping requirements; Training for pilots; Technological advancements in data-transfer...

Cancer Detection, Diagnosis, and Treatment Technologies for Global Health: Supporting the developmen

Cancer.gov

NCI, Center for Global Health supports the development and validation of low-cost, portable technologies that can improve cancer detection, diagnosis, and treatment in low-and middle-income countries.

Automated detection of dark and bright lesions in retinal images for early detection of diabetic retinopathy.

PubMed

Akram, Usman M; Khan, Shoab A

2012-10-01

There is an ever-increasing interest in the development of automatic medical diagnosis systems due to the advancement in computing technology and also to improve the service by medical community. The knowledge about health and disease is required for reliable and accurate medical diagnosis. Diabetic Retinopathy (DR) is one of the most common causes of blindness and it can be prevented if detected and treated early. DR has different signs and the most distinctive are microaneurysm and haemorrhage which are dark lesions and hard exudates and cotton wool spots which are bright lesions. Location and structure of blood vessels and optic disk play important role in accurate detection and classification of dark and bright lesions for early detection of DR. In this article, we propose a computer aided system for the early detection of DR. The article presents algorithms for retinal image preprocessing, blood vessel enhancement and segmentation and optic disk localization and detection which eventually lead to detection of different DR lesions using proposed hybrid fuzzy classifier. The developed methods are tested on four different publicly available databases. The presented methods are compared with recently published methods and the results show that presented methods outperform all others.

Familial hypercholesterolemia in the Czech Republic: more than 17 years of systematic screening within the MedPed project.

PubMed

Vrablík, M; Vaclová, M; Tichý, L; Soška, V; Bláha, V; Fajkusová, L; Češka, R; Šatný, M; Freiberger, T

2017-04-05

Familial hypercholesterolemia (FH) is the most common autosomal dominant disorder. It is characterized by a decrease in LDL cholesterol catabolism and an early clinical manifestation of atherosclerotic vessel damage. The aim of the MedPed (Make early diagnosis to Prevent early deaths) project is an early diagnosis of FH patients in order to profit from early treatment and prevent cardiovascular events. Till November 30, 2016 The Czech National MedPed Database has registered 7,001 FH patients from 5,223 different families that is 17.4 % of expected patients in the Czech Republic considering 1:250 FH prevalence. The improvement in diagnostic accuracy, patient cooperation and above all familial cascade screening is enabled by FH mutation detection using the modern technology of next-generation sequencing. FH still remain undiagnosed even though the Czech Republic is one of the most successful countries with respect to FH detection. The opportunities of international collaboration and experience sharing within international programs (e.g. EAS FHSC, ScreenPro FH etc.) will improve the detection of FH patients in the future and enable even more accessible and accurate genetic diagnostics.

JICST Factual Database JICST DNA Database

NASA Astrophysics Data System (ADS)

Shirokizawa, Yoshiko; Abe, Atsushi

Japan Information Center of Science and Technology (JICST) has started the on-line service of DNA database in October 1988. This database is composed of EMBL Nucleotide Sequence Library and Genetic Sequence Data Bank. The authors outline the database system, data items and search commands. Examples of retrieval session are presented.

Impact of smoking on the age at diagnosis of upper tract urothelial carcinoma: Subanalysis of the Japanese Urological Association multi-institutional national database.

PubMed

Miyazaki, Jun; Nishiyama, Hiroyuki; Fujimoto, Hiroyuki; Ohyama, Chikara; Koie, Takuya; Hinotsu, Shiro; Kikuchi, Eiji; Sakura, Mizuaki; Inokuchi, Junichi; Hara, Tomohiko

2015-11-01

To examine the influence of smoking history on the diagnosis and other tumor characteristics of upper tract urothelial carcinoma in Japan. A total of 1509 patients with upper tract urothelial carcinoma who were diagnosed in 2005 from 348 Japanese institutions were registered using the multi-institutional national database of the Japanese Urological Association and included in this analysis. Clinical data of the patients were collected in 2011. The associations between the patients' self-reported smoking history and their age at the diagnosis of upper tract urothelial carcinoma, sex, pathological T stage and tumor grade were analyzed. The mean age at the diagnosis of upper tract urothelial carcinoma was approximately 5 years earlier for the 238 current smokers than for the 618 current non-smokers (P < 0.0001). Similar associations between smoking and the early diagnosis of upper tract urothelial carcinoma were shown in the sex subgroups and in subgroups stratified by pathological T stages. Among the current smokers, the age at diagnosis for the smoking ≥ 20 cigarettes per day group was 6.5 years lower than that of the < 20 cigarettes per day group, which was significantly different (P < 0.0001). Current smoking is a significant risk factor for the earlier diagnosis of upper tract urothelial carcinoma. The finding is important from the perspective of both healthcare and medical economies. © 2015 The Japanese Urological Association.

E-health in low- and middle-income countries: findings from the Center for Health Market Innovations.

PubMed

Lewis, Trevor; Synowiec, Christina; Lagomarsino, Gina; Schweitzer, Julian

2012-05-01

To describe how information communication technology (ICT) is being used by programmes that seek to improve private sector health financing and delivery in low- and middle-income countries, including the main uses of the technology and the types of technologies being used. In-country partners in 16 countries directly searched systematically for innovative health programmes and compiled profiles in the Center for Health Market Innovations' database. These data were supplemented through literature reviews and with self-reported data supplied by the programmes themselves. In many low- and middle-income countries, ICT is being increasingly employed for different purposes in various health-related areas. Of ICT-enabled health programmes, 42% use it to extend geographic access to health care, 38% to improve data management and 31% to facilitate communication between patients and physicians outside the physician's office. Other purposes include improving diagnosis and treatment (17%), mitigating fraud and abuse (8%) and streamlining financial transactions (4%). The most common devices used in technology-enabled programmes are phones and computers; 71% and 39% of programmes use them, respectively, and the most common applications are voice (34%), software (32%) and text messages (31%). Donors are the primary funders of 47% of ICT-based health programmes. Various types of ICT are being employed by private organizations to address key health system challenges. For successful implementation, however, more sustainable sources of funding, greater support for the adoption of new technologies and better ways of evaluating impact are required.

49 CFR 1104.3 - Copies.

Code of Federal Regulations, 2013 CFR

2013-10-01

... fully evaluate evidence, all spreadsheets must be fully accessible and manipulable. Electronic databases... Microsoft Open Database Connectivity (ODBC) standard. ODBC is a Windows technology that allows a database software package to import data from a database created using a different software package. We currently...

49 CFR 1104.3 - Copies.

Code of Federal Regulations, 2014 CFR

2014-10-01

... fully evaluate evidence, all spreadsheets must be fully accessible and manipulable. Electronic databases... Microsoft Open Database Connectivity (ODBC) standard. ODBC is a Windows technology that allows a database software package to import data from a database created using a different software package. We currently...

49 CFR 1104.3 - Copies.

Code of Federal Regulations, 2012 CFR

2012-10-01

... fully evaluate evidence, all spreadsheets must be fully accessible and manipulable. Electronic databases... Microsoft Open Database Connectivity (ODBC) standard. ODBC is a Windows technology that allows a database software package to import data from a database created using a different software package. We currently...

49 CFR 1104.3 - Copies.

Code of Federal Regulations, 2010 CFR

2010-10-01

... fully evaluate evidence, all spreadsheets must be fully accessible and manipulable. Electronic databases... Microsoft Open Database Connectivity (ODBC) standard. ODBC is a Windows technology that allows a database software package to import data from a database created using a different software package. We currently...

The Potential of Wearable Sensor Technology for EVA Glove Ergonomic Evaluation

NASA Technical Reports Server (NTRS)

Reid, Christopher R.; McFarland, Shane M.; Norcross, Jason R.; Rajulu, Sudhakar

2014-01-01

Injuries to the hands are common among astronauts who train for extravehicular activity (EVA). Many of these injuries refer to the gloves worn during EVA as the root cause. While pressurized, the bladder and outer material of these gloves restrict movement and create pressure points while performing tasks, sometimes resulting in pain, muscle fatigue, abrasions, and occasionally a more severe injury, onycholysis (fingernail delamination). The most common injury causes are glove contact (pressure point/rubbing), ill-fitting gloves, and/or performing EVA tasks in pressurized gloves. A brief review of the Lifetime Surveillance of Astronaut Health's injury database reveals over 57% of the total injuries to the upper extremities during EVA training occurred either to the metacarpophalangeal (MCP) joint, fingernail, or the fingertip. Twenty-five of these injuries resulted in a diagnosis of onycholysis.

The Potential of Wearable Sensor Technology for EVA Glove Ergonomic Evaluation

NASA Technical Reports Server (NTRS)

Reid, Christopher R.; McFarland, Shane; Norcross, Jason R.; Rajulu, Sudhakar

2014-01-01

Injuries to the hands are common among astronauts who train for extravehicular activity (EVA). Many of these injuries refer to the gloves worn during EVA as the root cause. While pressurized, the bladder and outer material of these gloves restrict movement and create pressure points while performing tasks, sometimes resulting in pain, muscle fatigue, abrasions, and occasionally a more severe injury, onycholysis (fingernail delamination). The most common injury causes are glove contact (pressure point/rubbing), ill-fitting gloves, and/or performing EVA tasks in pressurized gloves. A brief review of the Lifetime Surveillance of Astronaut Health's injury database reveals over 57% of the total injuries to the upper extremities during EVA training occurred either to the metacarpophalangeal (MCP) joint, fingernail, or the fingertip. Twenty-five of these injuries resulted in a diagnosis of onycholysis

An ultra low power ECG signal processor design for cardiovascular disease detection.

PubMed

Jain, Sanjeev Kumar; Bhaumik, Basabi

2015-08-01

This paper presents an ultra low power ASIC design based on a new cardiovascular disease diagnostic algorithm. This new algorithm based on forward search is designed for real time ECG signal processing. The algorithm is evaluated for Physionet PTB database from the point of view of cardiovascular disease diagnosis. The failed detection rate of QRS complex peak detection of our algorithm ranges from 0.07% to 0.26% for multi lead ECG signal. The ASIC is designed using 130-nm CMOS low leakage process technology. The area of ASIC is 1.21 mm(2). This ASIC consumes only 96 nW at an operating frequency of 1 kHz with a supply voltage of 0.9 V. Due to ultra low power consumption, our proposed ASIC design is most suitable for energy efficient wearable ECG monitoring devices.

On exploration of medical database of Crohn's disease

NASA Astrophysics Data System (ADS)

Manerowska, Anna; Dadalski, Maciej; Socha, Piotr; Mulawka, Jan

2010-09-01

The primary objective of this article is to find a new, more effective method of diagnosis of Crohn's disease. Having created the database on this disease we wanted to find the most suitable classification models. We used the algorithms with their implementations stored in R environment. Having carried out the investigations we have reached results interesting for clinical practice.

Resource Use and Costs Associated with Coeliac Disease before and after Diagnosis in 3,646 Cases: Results of a UK Primary Care Database Analysis

PubMed Central

Violato, Mara; Gray, Alastair; Papanicolas, Irini; Ouellet, Melissa

2012-01-01

Background Despite the considerable health impact of coeliac disease (CD), reliable estimates of the impact of diagnosis on health care use and costs are lacking. Aims To quantify the volume, type and costs, in a United Kingdom primary care setting, of healthcare resources used by individuals diagnosed with CD up to ten years before and after diagnosis, and to estimate medical costs associated with CD. Methods A cohort of 3,646 CD cases and a parallel cohort of 32,973 matched controls, extracted from the General Practice Research Database (GPRD) over the period 1987–2005 were used i) to evaluate the impact of diagnosis on the average resource use and costs of cases; ii) to assess direct healthcare costs due to CD by comparing average resource use and costs incurred by cases vs. controls. Results Average annual healthcare costs per patient increased by £310 (95% CI £299, £320) after diagnosis. CD cases experienced higher healthcare costs than controls both before diagnosis (mean difference £91; 95% CI: £86, £97) and after diagnosis (mean difference £354; 95% CI: £347, £361). These differences were driven mainly by higher test and referral costs before diagnosis, and by increased prescription costs after diagnosis. Conclusions This study shows significant additional primary care costs associated with coeliac disease. It provides novel evidence that will assist researchers evaluating interventions in this area, and will challenge policymakers, clinicians, researchers and the public to develop strategies that maximise the health benefits of the resources associated with this disease. PMID:22815991

Methods of rapid diagnosis for the etiology of meningitis in adults

PubMed Central

Bahr, Nathan C; Boulware, David R

2014-01-01

Infectious meningitis may be due to bacterial, mycobacterial, fungal or viral agents. Diagnosis of meningitis must take into account numerous items of patient history and symptomatology along with regional epidemiology and basic cerebrospinal fluid testing (protein, etc.) to allow the clinician to stratify the likelihood of etiology possibilities and rationally select additional diagnostic tests. Culture is the mainstay for diagnosis in many cases, but technology is evolving to provide more rapid, reliable diagnosis. The cryptococcal antigen lateral flow assay (Immuno-Mycologics) has revolutionized diagnosis of cryptococcosis and automated nucleic acid amplification assays hold promise for improving diagnosis of bacterial and mycobacterial meningitis. This review will focus on a holistic approach to diagnosis of meningitis as well as recent technological advances. PMID:25402579

Human spaceflight technology needs-a foundation for JSC's technology strategy

NASA Astrophysics Data System (ADS)

Stecklein, J. M.

Human space exploration has always been heavily influenced by goals to achieve a specific mission on a specific schedule. This approach drove rapid technology development, the rapidity of which added risks and became a major driver for costs and cost uncertainty. The National Aeronautics and Space Administration (NASA) is now approaching the extension of human presence throughout the solar system by balancing a proactive yet less schedule-driven development of technology with opportunistic scheduling of missions as the needed technologies are realized. This approach should provide cost effective, low risk technology development that will enable efficient and effective manned spaceflight missions. As a first step, the NASA Human Spaceflight Architecture Team (HAT) has identified a suite of critical technologies needed to support future manned missions across a range of destinations, including in cis-lunar space, near earth asteroid visits, lunar exploration, Mars moons, and Mars exploration. The challenge now is to develop a strategy and plan for technology development that efficiently enables these missions over a reasonable time period, without increasing technology development costs unnecessarily due to schedule pressure, and subsequently mitigating development and mission risks. NASA's Johnson Space Center (JSC), as the nation's primary center for human exploration, is addressing this challenge through an innovative approach in allocating Internal Research and Development funding to projects. The HAT Technology Needs (Tech Needs) Database has been developed to correlate across critical technologies and the NASA Office of Chief Technologist Technology Area Breakdown Structure (TABS). The TechNeeds Database illuminates that many critical technologies may support a single technical capability gap, that many HAT technology needs may map to a single TABS technology discipline, and that a single HAT technology need may map to multiple TABS technology disciplines. Th- TechNeeds Database greatly clarifies understanding of the complex relationships of critical technologies to mission and architecture element needs. Extensions to the core TechNeeds Database allow JSC to factor in and appropriately weight JSC core technology competencies, and considerations of commercialization potential and partnership potential. The inherent coupling among these, along with an appropriate importance weighting, has provided an initial prioritization for allocation of technology development research funding at JSc. The HAT Technology Needs Database, with a core of built-in reports, clarifies and communicates complex technology needs for cost effective human space exploration so that an organization seeking to assure that research prioritization supports human spaceflight of the future can be successful.

Human Spaceflight Technology Needs - A Foundation for JSC's Technology Strategy

NASA Technical Reports Server (NTRS)

Stecklein, Jonette M.

2013-01-01

Human space exploration has always been heavily influenced by goals to achieve a specific mission on a specific schedule. This approach drove rapid technology development, the rapidity of which adds risks as well as provides a major driver for costs and cost uncertainty. The National Aeronautics and Space Administration (NASA) is now approaching the extension of human presence throughout the solar system by balancing a proactive yet less schedule-driven development of technology with opportunistic scheduling of missions as the needed technologies are realized. This approach should provide cost effective, low risk technology development that will enable efficient and effective manned spaceflight missions. As a first step, the NASA Human Spaceflight Architecture Team (HAT) has identified a suite of critical technologies needed to support future manned missions across a range of destinations, including in cis-lunar space, near earth asteroid visits, lunar exploration, Mars moons, and Mars exploration. The challenge now is to develop a strategy and plan for technology development that efficiently enables these missions over a reasonable time period, without increasing technology development costs unnecessarily due to schedule pressure, and subsequently mitigating development and mission risks. NASA's Johnson Space Center (JSC), as the nation s primary center for human exploration, is addressing this challenge through an innovative approach in allocating Internal Research and Development funding to projects. The HAT Technology Needs (TechNeeds) Database has been developed to correlate across critical technologies and the NASA Office of Chief Technologist Technology Area Breakdown Structure (TABS). The TechNeeds Database illuminates that many critical technologies may support a single technical capability gap, that many HAT technology needs may map to a single TABS technology discipline, and that a single HAT technology need may map to multiple TABS technology disciplines. The TechNeeds Database greatly clarifies understanding of the complex relationships of critical technologies to mission and architecture element needs. Extensions to the core TechNeeds Database allow JSC to factor in and appropriately weight JSC Center Core Technology Competencies, and considerations of Commercialization Potential and Partnership Potential. The inherent coupling among these, along with an appropriate importance weighting, has provided an initial prioritization for allocation of technology development research funding for JSC. The HAT Technology Needs Database, with a core of built-in reports, clarifies and communicates complex technology needs for cost effective human space exploration such that an organization seeking to assure that research prioritization supports human spaceflight of the future can be successful.

Digital Dental X-ray Database for Caries Screening

NASA Astrophysics Data System (ADS)

Rad, Abdolvahab Ehsani; Rahim, Mohd Shafry Mohd; Rehman, Amjad; Saba, Tanzila

2016-06-01

Standard database is the essential requirement to compare the performance of image analysis techniques. Hence the main issue in dental image analysis is the lack of available image database which is provided in this paper. Periapical dental X-ray images which are suitable for any analysis and approved by many dental experts are collected. This type of dental radiograph imaging is common and inexpensive, which is normally used for dental disease diagnosis and abnormalities detection. Database contains 120 various Periapical X-ray images from top to bottom jaw. Dental digital database is constructed to provide the source for researchers to use and compare the image analysis techniques and improve or manipulate the performance of each technique.

Databases in the Central Government : State-of-the-art and the Future

NASA Astrophysics Data System (ADS)

Ohashi, Tomohiro

Management and Coordination Agency, Prime Minister’s Office, conducted a survey by questionnaire against all Japanese Ministries and Agencies, in November 1985, on a subject of the present status of databases produced or planned to be produced by the central government. According to the results, the number of the produced databases has been 132 in 19 Ministries and Agencies. Many of such databases have been possessed by Defence Agency, Ministry of Construction, Ministry of Agriculture, Forestry & Fisheries, and Ministry of International Trade & Industries and have been in the fields of architecture & civil engineering, science & technology, R & D, agriculture, forestry and fishery. However the ratio of the databases available for other Ministries and Agencies has amounted to only 39 percent of all produced databases and the ratio of the databases unavailable for them has amounted to 60 percent of all of such databases, because of in-house databases and so forth. The outline of such results of the survey is reported and the databases produced by the central government are introduced under the items of (1) databases commonly used by all Ministries and Agencies, (2) integrated databases, (3) statistical databases and (4) bibliographic databases. The future problems are also described from the viewpoints of technology developments and mutual uses of databases.

Integrating heterogeneous databases in clustered medic care environments using object-oriented technology

NASA Astrophysics Data System (ADS)

Thakore, Arun K.; Sauer, Frank

1994-05-01

The organization of modern medical care environments into disease-related clusters, such as a cancer center, a diabetes clinic, etc., has the side-effect of introducing multiple heterogeneous databases, often containing similar information, within the same organization. This heterogeneity fosters incompatibility and prevents the effective sharing of data amongst applications at different sites. Although integration of heterogeneous databases is now feasible, in the medical arena this is often an ad hoc process, not founded on proven database technology or formal methods. In this paper we illustrate the use of a high-level object- oriented semantic association method to model information found in different databases into an integrated conceptual global model that integrates the databases. We provide examples from the medical domain to illustrate an integration approach resulting in a consistent global view, without attacking the autonomy of the underlying databases.

49 CFR 1104.3 - Copies.

Code of Federal Regulations, 2011 CFR

2011-10-01

... Microsoft Open Database Connectivity (ODBC) standard. ODBC is a Windows technology that allows a database software package to import data from a database created using a different software package. We currently...-compatible format. All databases must be supported with adequate documentation on data attributes, SQL...

A New Methodology for Systematic Exploitation of Technology Databases.

ERIC Educational Resources Information Center

Bedecarrax, Chantal; Huot, Charles

1994-01-01

Presents the theoretical aspects of a data analysis methodology that can help transform sequential raw data from a database into useful information, using the statistical analysis of patents as an example. Topics discussed include relational analysis and a technology watch approach. (Contains 17 references.) (LRW)

Curriculum Connection. Take Technology Outdoors.

ERIC Educational Resources Information Center

Dean, Bruce Robert

1992-01-01

Technology can support hands-on science as elementary students use computers to formulate field guides to nature surrounding their school. Students examine other field guides; open databases for recording information; collect, draw, and identify plants, insects, and animals; enter data into the database; then generate a computerized field guide.…

[Application of terahertz technology in medical testing and diagnosis].

PubMed

Qi, Na; Zhang, Zhuo-Yong; Xiang, Yu-Hong

2013-08-01

Terahertz science and technology is increasingly emphasized in science and industry, and has progressed significantly in recent years. There is an important aspect of attention in the application of terahertz technology to medicine. The overview of the terahertz characters, terahertz spectroscopy and terahertz imaging technology is introduced. This paper focuses on reviewing the use of and research progress in terahertz spectroscopy and terahertz imaging technology in medical testing and diagnosis. Furthermore, the problems to be solved and development directions of terahertz spectroscopy and terahertz imaging technology are discussed.

An international aerospace information system - A cooperative opportunity

NASA Technical Reports Server (NTRS)

Blados, Walter R.; Cotter, Gladys A.

1992-01-01

This paper presents for consideration new possibilities for uniting the various aerospace database efforts toward a cooperative international aerospace database initiative that can optimize the cost-benefit equation for all members. The development of astronautics and aeronautics in individual nations has led to initiatives for national aerospace databases. Technological developments in information technology and science, as well as the reality of scarce resources, makes it necessary to reconsider the mutually beneficial possibilities offered by cooperation and international resource sharing.

Quality Attribute-Guided Evaluation of NoSQL Databases: A Case Study

DTIC Science & Technology

2015-01-16

evaluations of NoSQL databases specifically, and big data systems in general, that have become apparent during our study. Keywords—NoSQL, distributed...technology, namely that of big data , software systems [1]. At the heart of big data systems are a collection of database technologies that are more...born organizations such as Google and Amazon [3][4], along with those of numerous other big data innovators, have created a variety of open source and

Situation analysis of prenatal diagnosis technology utilization in China: current situation, main issues, and policy implications.

PubMed

Chen, Yingyao; Qian, Xu; Tang, Zhiliu; Banta, H David; Hu, Fangfang; Cao, Jianwen; Huang, Jiayan; Wang, Qian; Lv, Jun; Ying, Xianghua; Chen, Jie

2004-01-01

The purpose of this study is to describe the situation with the distribution and utilization of prenatal diagnosis technology in China, to identify some important barriers to prenatal diagnosis use, and to suggest changes to improve the present situation. The study uses cross-sectional surveys to capture quantitative data from both providers and consumers. Qualitative information based on focus group discussions is also presented. A mail survey of the provincial Bureaus of Health (BOHs) reveals that sixteen provincial prenatal diagnosis centers and twelve city level centers were accredited by the BOHs by July of 2001. These centers were located in thirteen provinces, of thirty in all of China. Of 147 selected institutions surveyed separately, 90.5 percent offer ultrasound examination, 72.1 percent provide pathogen tests (mainly Toxoplasma, rubella virus, cytomegalovirus, and herpes simplex or TORCH), 57.1 percent do biochemical tests, 21.8 percent have genetic counseling, 13.6 percent do karyotype testing, 7.5 percent do enzymology testing, and 5.4 percent carry out molecular genetic testing. Chromosome diseases, congenital diseases, and several gene diseases are the target diseases. According to qualitative data, macromanagement for prenatal diagnosis, supplier provision of tests, and population demand are the main influences on prenatal diagnosis use. From the quantitative and qualitative analysis, it is clear that the technology of prenatal diagnosis is not diffusing well throughout China and is apparently not appropriately used. The situation of prenatal diagnosis has implications for policy-makers, including identification of priorities, regulation of prenatal diagnosis, strategic planning, development of guidelines based on health technology assessment, and consumer orientation.

Second NASA Technical Interchange Meeting (TIM): Advanced Technology Lifecycle Analysis System (ATLAS) Technology Tool Box (TTB)

NASA Technical Reports Server (NTRS)

ONeil, D. A.; Mankins, J. C.; Christensen, C. B.; Gresham, E. C.

2005-01-01

The Advanced Technology Lifecycle Analysis System (ATLAS), a spreadsheet analysis tool suite, applies parametric equations for sizing and lifecycle cost estimation. Performance, operation, and programmatic data used by the equations come from a Technology Tool Box (TTB) database. In this second TTB Technical Interchange Meeting (TIM), technologists, system model developers, and architecture analysts discussed methods for modeling technology decisions in spreadsheet models, identified specific technology parameters, and defined detailed development requirements. This Conference Publication captures the consensus of the discussions and provides narrative explanations of the tool suite, the database, and applications of ATLAS within NASA s changing environment.

Health technology management: a database analysis as support of technology managers in hospitals.

PubMed

Miniati, Roberto; Dori, Fabrizio; Iadanza, Ernesto; Fregonara, Mario M; Gentili, Guido Biffi

2011-01-01

Technology management in healthcare must continually respond and adapt itself to new improvements in medical equipment. Multidisciplinary approaches which consider the interaction of different technologies, their use and user skills, are necessary in order to improve safety and quality. An easy and sustainable methodology is vital to Clinical Engineering (CE) services in healthcare organizations in order to define criteria regarding technology acquisition and replacement. This article underlines the critical aspects of technology management in hospitals by providing appropriate indicators for benchmarking CE services exclusively referring to the maintenance database from the CE department at the Careggi Hospital in Florence, Italy.

Directory of Assistive Technology: Data Sources.

ERIC Educational Resources Information Center

Council for Exceptional Children, Reston, VA. Center for Special Education Technology.

The annotated directory describes in detail both on-line and print databases in the area of assistive technology for individuals with disabilities. For each database, the directory provides the name, address, and telephone number of the sponsoring organization; disability areas served; number of hardware and software products; types of information…

The Effect of Relational Database Technology on Administrative Computing at Carnegie Mellon University.

ERIC Educational Resources Information Center

Golden, Cynthia; Eisenberger, Dorit

1990-01-01

Carnegie Mellon University's decision to standardize its administrative system development efforts on relational database technology and structured query language is discussed and its impact is examined in one of its larger, more widely used applications, the university information system. Advantages, new responsibilities, and challenges of the…

Utility-Scale Energy Technology Capacity Factors | Energy Analysis | NREL

Science.gov Websites

Transparent Cost Database Button This chart indicates the range of recent capacity factor estimates for utility-scale technology cost and performance estimates, please visit the Transparent Cost Database website for NREL's information regarding vehicles, biofuels, and electricity generation. Capital Cost

Understanding transit accidents using the National Transit Database and the role of Transit Intelligent Vehicle Initiative Technology in reducing accidents

DOT National Transportation Integrated Search

2004-06-01

This report documents the results of bus accident data analysis using the 2002 National Transit Database (NTD) and discusses the potential of using advanced technology being studied and developed under the U.S. Department of Transportations (U.S. ...

U.S. and International In-Hospital Costs of Extracorporeal Membrane Oxygenation: a Systematic Review.

PubMed

Harvey, Michael J; Gaies, Michael G; Prosser, Lisa A

2015-08-01

The in-hospital costs of extracorporeal membrane oxygenation (ECMO) have not been well established. To evaluate the in-hospital costs of ECMO technology in both US and non-US settings for all patient types. Systematic review of English-language articles, using the PubMed, Embase, Web of Science and EconLit databases. Searches consisted of the terms 'ECMO' AND 'health expenditures' or 'resource use' or 'costs' or 'cost analysis' or 'cost(-)effectiveness' or 'cost(-)benefit' or 'cost(-)utility' or 'economic(-)evaluation' or 'economic' or 'QALY' or 'cost per quality-adjusted life year'. Only full scientific research articles were included. The exclusion criteria included papers that focused on pumpless ECMO, simulation training or decision support systems; papers that did not include human subjects or were not written in English; papers that did not mention ECMO, costs, economics or resource utilization; and papers that included only outside-hospital, infrastructure capital or device capital costs. Data extraction was completed by one author, using predefined criteria. From the database searches, 1371 results were returned, 226 records underwent a full review and 18 studies were included in the final review. Three papers studied adult populations, two studied adult and paediatric populations, five studied only paediatric populations, one studied a paediatric and neonatal population, and the remaining seven exclusively examined ECMO in neonatal populations. The sample sizes ranged from 8 to 8753 patients. ECMO for respiratory conditions was the most common diagnosis category, followed by congenital diaphragmatic hernia (CDH) and then cardiac conditions. Most papers (n = 14) used retrospective cost collection. Only eight papers stated the perspective of the cost analysis. The results show a large variation in the cost of ECMO over multiple cost categories (e.g., range of total in-hospital costs of treatment: USD 42,554-537,554 [in 2013 values]). In the U.S.A., the reported costs of ECMO were highest for CDH repair, followed by cardiac conditions, and lowest for respiratory conditions. The US charges were highest for cardiac conditions. Outside the U.S.A., the ECMO cost was highest for cardiac conditions, followed by respiratory conditions, and lowest for CDH repair. No non-US studies reported charges. The current literature shows that a large variation exists in the in-hospital cost estimates for ECMO. Further research is needed to understand how the diagnosis, setting and other factors relate to this variation in the cost of this technology. Reliable costing methodologies and cost information will be critical to inform policymakers and stakeholders wishing to maximize the value of advanced medical technologies such as ECMO.

The Nursing Diagnosis Disturbed Thought Processes: An Integrative Review.

PubMed

Escalada-Hermández, Paula; Marín-Fernández, Blanca

2017-09-08

To analyze and synthetize the existing scientific literature in relation to the nursing diagnosis disturbed thought processes (DTPs) (00130). An integrative review was developed, identifying relevant papers through a search of international and Spanish databases and the examination of key manuals. Theoretical papers propose modifications for the nursing diagnosis DTPs. Most of the research papers offer data about its frequency in different clinical settings. There exists an interest in the nursing diagnosis DTPs. However, the available evidence is not very extensive and further work is necessary in order to refine this nursing diagnosis. The re-inclusion of DTPs in the NANDA-I classification will specially contribute to increment its utility in mental healthcare. © 2017 NANDA International, Inc.

Technical evaluation of methods for identifying chemotherapy-induced febrile neutropenia in healthcare claims databases

PubMed Central

2013-01-01

Background Healthcare claims databases have been used in several studies to characterize the risk and burden of chemotherapy-induced febrile neutropenia (FN) and effectiveness of colony-stimulating factors against FN. The accuracy of methods previously used to identify FN in such databases has not been formally evaluated. Methods Data comprised linked electronic medical records from Geisinger Health System and healthcare claims data from Geisinger Health Plan. Subjects were classified into subgroups based on whether or not they were hospitalized for FN per the presumptive “gold standard” (ANC <1.0×109/L, and body temperature ≥38.3°C or receipt of antibiotics) and claims-based definition (diagnosis codes for neutropenia, fever, and/or infection). Accuracy was evaluated principally based on positive predictive value (PPV) and sensitivity. Results Among 357 study subjects, 82 (23%) met the gold standard for hospitalized FN. For the claims-based definition including diagnosis codes for neutropenia plus fever in any position (n=28), PPV was 100% and sensitivity was 34% (95% CI: 24–45). For the definition including neutropenia in the primary position (n=54), PPV was 87% (78–95) and sensitivity was 57% (46–68). For the definition including neutropenia in any position (n=71), PPV was 77% (68–87) and sensitivity was 67% (56–77). Conclusions Patients hospitalized for chemotherapy-induced FN can be identified in healthcare claims databases--with an acceptable level of mis-classification--using diagnosis codes for neutropenia, or neutropenia plus fever. PMID:23406481

Ebola virus - epidemiology, diagnosis, and control: threat to humans, lessons learnt, and preparedness plans - an update on its 40 year's journey.

PubMed

Singh, Raj Kumar; Dhama, Kuldeep; Malik, Yashpal Singh; Ramakrishnan, Muthannan Andavar; Karthik, Kumaragurubaran; Khandia, Rekha; Tiwari, Ruchi; Munjal, Ashok; Saminathan, Mani; Sachan, Swati; Desingu, Perumal Arumugam; Kattoor, Jobin Jose; Iqbal, Hafiz M N; Joshi, Sunil Kumar

2017-12-01

Ebola virus (EBOV) is an extremely contagious pathogen and causes lethal hemorrhagic fever disease in man and animals. The recently occurred Ebola virus disease (EVD) outbreaks in the West African countries have categorized it as an international health concern. For the virus maintenance and transmission, the non-human primates and reservoir hosts like fruit bats have played a vital role. For curbing the disease timely, we need effective therapeutics/prophylactics, however, in the absence of any approved vaccine, timely diagnosis and monitoring of EBOV remains of utmost importance. The technologically advanced vaccines like a viral-vectored vaccine, DNA vaccine and virus-like particles are underway for testing against EBOV. In the absence of any effective control measure, the adaptation of high standards of biosecurity measures, strict sanitary and hygienic practices, strengthening of surveillance and monitoring systems, imposing appropriate quarantine checks and vigilance on trade, transport, and movement of visitors from EVD endemic countries remains the answer of choice for tackling the EBOV spread. Herein, we converse with the current scenario of EBOV giving due emphasis on animal and veterinary perspectives along with advances in diagnosis and control strategies to be adopted, lessons learned from the recent outbreaks and the global preparedness plans. To retrieve the evolutionary information, we have analyzed a total of 56 genome sequences of various EBOV species submitted between 1976 and 2016 in public databases.

Quality and reporting of guidelines on the diagnosis and management of dystonia.

PubMed

Tamás, G; Abrantes, C; Valadas, A; Radics, P; Albanese, A; Tijssen, M A J; Ferreira, J J

2018-02-01

The quality of clinical practice guidelines on dystonia has not yet been assessed. Our aim was to appraise the methodological quality of guidelines worldwide and to analyze the consistency of their recommendations. We searched for clinical practice guidelines on dystonia diagnosis/treatment in the National Guideline Clearinghouse, PubMed, National Institute for Health and Care Excellence, Guidelines International Network and Web of Science databases. We also searched for guidelines on homepages of international neurological societies. We asked for guidelines from every Management Committee member of the BM1101 Action of the Cooperation between Science and Technology European framework and every member of the International Parkinson and Movement Disorders Society with special interest in dystonia. Fifteen guidelines were evaluated. Among guidelines on treatment, only one from the American Academy of Neurology could be considered as high quality. Among guidelines on diagnosis and therapy, the guideline from the European Federation of Neurological Societies was recommended by the appraisers. Clinical applicability and reports of editorial independence were the greatest shortcomings. The rigor of development was poor and stakeholder involvement was also incomplete in most guidelines. Discrepancies among recommendations may result from the weight given to consensus statements and expert opinions due to the lack of evidence, as well as inaccuracy of disease classification. The quality of appraised guidelines was low. It is necessary to improve the quality of guidelines on dystonia, and the applied terminology of dystonia also needs to be standardized. © 2017 EAN.

Nano/microfluidics for diagnosis of infectious diseases in developing countries

PubMed Central

Lee, Won Gu; Kim, Yun-Gon; Chung, Bong Geun; Demirci, Utkan; Khademhosseini, Ali

2010-01-01

Nano/microfluidic technologies are emerging as powerful enabling tools for diagnosis and monitoring of infectious diseases in both developed and developing countries. Miniaturized nano/microfluidic platforms that precisely manipulate small fluid volumes can be used to enable medical diagnosis in a more rapid and accurate manner. In particular, these nano/microfluidic diagnostic technologies are potentially applicable to global health applications, because they are disposable, inexpensive, portable, and easy-to-use for detection of infectious diseases. In this paper, we review recent developments in nano/microfluidic technologies for clinical point-of-care applications at resource-limited settings in developing countries. PMID:19954755

Impact of comorbidity and healthcare utilization on colorectal cancer stage at diagnosis: literature review

PubMed Central

Corkum, Mark; Urquhart, Robin; Burge, Fred; Porter, Geoffrey; Johnston, Grace

2013-01-01

Purpose Individuals diagnosed with cancer close to death have low access to enrollment in palliative care programs. The purpose of this literature review was to assess the usefulness of pre-diagnostic comorbidity and healthcare utilization as indicators of late-stage colorectal cancer (CRC) diagnosis, to help with early identification of individuals who may benefit from palliative care. Methods A literature search was conducted in relevant databases using title/abstract terms which included “cancer,” “stage,” “diagnosis,” “determinants,” “predictors,” and “associated.” Included studies examined whether comorbidity and/or healthcare utilization had an impact on the stage at which CRC was diagnosed. A standardized data abstraction form was used to assess the eligibility of each study. Thirteen articles were included in the literature review. These studies were assessed and synthesized using qualitative methodology. Results We found much heterogeneity among study variables. The findings of this literature review point to the presence of comorbidity and non-emergent healthcare utilization as having no association with late-stage diagnosis. Conversely, emergency room presentation (ERP) was associated with late-stage diagnosis. Conclusions The results of this literature review did not find strong evidence to suggest that comorbidity and healthcare utilization are potential indicators of late-stage diagnosis. However, ERP may be useful as a flag for consideration of prompt referral to palliative care. Additional research is required to identify potential indicators of late-stage diagnosis that may be available in administrative databases, particularly in the area of healthcare utilization. PMID:22101505

Lung Metastases in Neuroblastoma at Initial Diagnosis: A Report from the International Neuroblastoma Risk Group (INRG) Project

PubMed Central

DuBois, Steven G.; London, Wendy B.; Zhang, Yang; Matthay, Katherine K.; Monclair, Tom; Ambros, Peter F.; Cohn, Susan L.; Pearson, Andrew; Diller, Lisa

2009-01-01

Background Neuroblastoma is the most common extracranial pediatric solid cancer. Lung metastasis is rarely detected in children with newly diagnosed neuroblastoma. We aimed to describe the incidence, clinical characteristics, and outcome of patients with lung metastasis at initial diagnosis using a large international database. Procedure The subset of patients from the International Neuroblastoma Risk Group database with INSS stage 4 neuroblastoma and known data regarding lung metastasis at diagnosis was selected for analysis. Clinical and biological characteristics were compared between patients with and without lung metastasis. Survival for patients with and without lung metastasis was estimated by Kaplan-Meier methods. Cox proportional hazards methods were used to determine the independent prognostic value of lung metastasis at diagnosis. Results Of the 2,808 patients with INSS stage 4 neuroblastoma diagnosed between 1990 and 2002, 100 patients (3.6%) were reported to have lung metastasis at diagnosis. Lung metastasis was more common among patients with MYCN amplified tumors, adrenal primary tumors, or elevated lactate dehydrogenase (LDH) levels (p < 0.02 in each case). Five-year overall survival ± standard error for patients with lung metastasis was 34.5% ± 6.8% compared to 44.7% ± 1.3% for patients without lung metastasis (p=0.0002). However, in multivariable analysis, the presence of lung metastasis was not independently predictive of outcome. Conclusions Lung metastasis at initial diagnosis of neuroblastoma is associated with MYCN amplification and elevated LDH levels. Although lung metastasis at diagnosis was not independently predictive of outcome in this analysis, it remains a useful prognostic marker of unfavorable outcome. PMID:18649370

Diagnosis and treatment of depression following routine screening in patients with coronary heart disease or diabetes: a database cohort study.

PubMed

Burton, C; Simpson, C; Anderson, N

2013-03-01

Depression is common in chronic illness and screening for depression has been widely recommended. There have been no large studies of screening for depression in routine care for patients with chronic illness. We performed a retrospective cohort study to examine the timing of new depression diagnosis or treatment in relation to annual screening for depression in patients with coronary heart disease (CHD) or diabetes. We examined a database derived from 1.3 million patients registered with general practices in Scotland for the year commencing 1 April 2007. Eligible patients had either CHD or diabetes, were screened for depression during the year and either received a new diagnosis of depression or commenced a new course of antidepressant (excluding those commonly used to treat diabetic neuropathy). Analysis was by the self-controlled case-series method with the outcome measure being the relative incidence (RI) in the period 1-28 days after screening compared to other times. A total of 67358 patients were screened for depression and 2269 received a new diagnosis or commenced treatment. For the period after screening, the RI was 3.03 [95% confidence interval (CI) 2.44-3.78] for diagnosis and 1.78 (95% CI 1.54-2.05) for treatment. The number needed to screen was 976 (95% CI 886-1104) for a new diagnosis and 687 (95% CI 586-853) for new antidepressant treatment. Systematic screening for depression in patients with chronic disease in primary care results in a significant but small increase in new diagnosis and treatment in the following 4 weeks.

Mobile teledermatopathology: using a tablet PC as a novel and cost-efficient method to remotely diagnose dermatopathology cases.

PubMed

Speiser, Jodi J; Hughes, Ian; Mehta, Vikas; Wojcik, Eva M; Hutchens, Kelli A

2014-01-01

: Dermatopathology has relatively few studies regarding teledermatopathology and none have addressed the use of new technologies, such as the tablet PC. We hypothesized that the combination of our existing dynamic nonrobotic system with a tablet PC could provide a novel and cost-efficient method to remotely diagnose dermatopathology cases. 93 cases diagnosed by conventional light microscopy at least 5 months earlier by the participating dermatopathologist were retrieved by an electronic pathology database search. A high-resolution video camera (Nikon DS-L2, version 4.4) mounted on a microscope was used to transmit digital video of a slide to an Apple iPAD2 (Apple Inc, Cupertino, CA) at the pathologist's remote location via live streaming at an interval time of 500 ms and a resolution of 1280/960 pixels. Concordance to the original diagnosis and the seconds elapsed to reaching the diagnosis were recorded. 24.7% (23/93) of cases were melanocytic, 70.9% (66/93) were nonmelanocytic, and 4.4% (4/93) were inflammatory. About 92.5% (86/93) of cases were diagnosed on immediate viewing (<5 seconds), with the average time to diagnosis at 40.2 seconds (range: 10-218 seconds). Of the cases diagnosed immediately, 98.8% (85/86) of the telediagnoses were concordant with the original. Telepathology performed via a tablet PC may serve as a reliable and rapid technique for the diagnosis of routine cases with some diagnostic caveats in mind. Our study established a novel and cost-efficient solution for those institutions that may not have the capital to purchase either a dynamic robotic system or a virtual slide system.

Realization of Real-Time Clinical Data Integration Using Advanced Database Technology

PubMed Central

Yoo, Sooyoung; Kim, Boyoung; Park, Heekyong; Choi, Jinwook; Chun, Jonghoon

2003-01-01

As information & communication technologies have advanced, interest in mobile health care systems has grown. In order to obtain information seamlessly from distributed and fragmented clinical data from heterogeneous institutions, we need solutions that integrate data. In this article, we introduce a method for information integration based on real-time message communication using trigger and advanced database technologies. Messages were devised to conform to HL7, a standard for electronic data exchange in healthcare environments. The HL7 based system provides us with an integrated environment in which we are able to manage the complexities of medical data. We developed this message communication interface to generate and parse HL7 messages automatically from the database point of view. We discuss how easily real time data exchange is performed in the clinical information system, given the requirement for minimum loading of the database system. PMID:14728271

Under-coding of secondary conditions in coded hospital health data: Impact of co-existing conditions, death status and number of codes in a record.

PubMed

Peng, Mingkai; Southern, Danielle A; Williamson, Tyler; Quan, Hude

2017-12-01

This study examined the coding validity of hypertension, diabetes, obesity and depression related to the presence of their co-existing conditions, death status and the number of diagnosis codes in hospital discharge abstract database. We randomly selected 4007 discharge abstract database records from four teaching hospitals in Alberta, Canada and reviewed their charts to extract 31 conditions listed in Charlson and Elixhauser comorbidity indices. Conditions associated with the four study conditions were identified through multivariable logistic regression. Coding validity (i.e. sensitivity, positive predictive value) of the four conditions was related to the presence of their associated conditions. Sensitivity increased with increasing number of diagnosis code. Impact of death on coding validity is minimal. Coding validity of conditions is closely related to its clinical importance and complexity of patients' case mix. We recommend mandatory coding of certain secondary diagnosis to meet the need of health research based on administrative health data.

A mobile system for skin cancer diagnosis and monitoring

NASA Astrophysics Data System (ADS)

Gu, Yanliang; Tang, Jinshan

2014-05-01

In this paper, we propose a mobile system for aiding doctors in skin cancer diagnosis and other persons in skin cancer monitoring. The basic idea is to use image retrieval techniques to help the users to find the similar skin cancer cases stored in a database by using smart phones. The query image can be taken by a smart phone from a patient or can be uploaded from other resources. The shapes of the skin lesions are used for matching two skin lesions, which are segmented from skin images using the skin lesion extraction method developed in 1. The features used in the proposed system are obtained by Fourier descriptor. A prototype application has been developed and can be installed in an iPhone. In this application, the iPhone users can use the iPhone as a diagnosis tool to find the potential skin lesions in a persons' skin and compare the skin lesions detected by the iPhone with the skin lesions stored in a database in a remote server.

Soil Organic Carbon for Global Benefits - assessing potential SOC increase under SLM technologies worldwide and evaluating tradeoffs and gains of upscaling SLM technologies

NASA Astrophysics Data System (ADS)

Wolfgramm, Bettina; Hurni, Hans; Liniger, Hanspeter; Ruppen, Sebastian; Milne, Eleanor; Bader, Hans-Peter; Scheidegger, Ruth; Amare, Tadele; Yitaferu, Birru; Nazarmavloev, Farrukh; Conder, Malgorzata; Ebneter, Laura; Qadamov, Aslam; Shokirov, Qobiljon; Hergarten, Christian; Schwilch, Gudrun

2013-04-01

There is a fundamental mutual interest between enhancing soil organic carbon (SOC) in the world's soils and the objectives of the major global environmental conventions (UNFCCC, UNCBD, UNCCD). While there is evidence at the case study level that sustainable land management (SLM) technologies increase SOC stocks and SOC related benefits, there is no quantitative data available on the potential for increasing SOC benefits from different SLM technologies and especially from case studies in the developing countries, and a clear understanding of the trade-offs related to SLM up-scaling is missing. This study aims at assessing the potential increase of SOC under SLM technologies worldwide, evaluating tradeoffs and gains in up-scaling SLM for case studies in Tajikistan, Ethiopia and Switzerland. It makes use of the SLM technologies documented in the online database of the World Overview of Conservation Approaches and Technologies (WOCAT). The study consists of three components: 1) Identifying SOC benefits contributing to the major global environmental issues for SLM technologies worldwide as documented in the WOCAT global database 2) Validation of SOC storage potentials and SOC benefit predictions for SLM technologies from the WOCAT database using results from existing comparative case studies at the plot level, using soil spectral libraries and standardized documentations of ecosystem service from the WOCAT database. 3) Understanding trade-offs and win-win scenarios of up-scaling SLM technologies from the plot to the household and landscape level using material flow analysis. This study builds on the premise that the most promising way to increase benefits from land management is to consider already existing sustainable strategies. Such SLM technologies from all over the world documented are accessible in a standardized way in the WOCAT online database. The study thus evaluates SLM technologies from the WOCAT database by calculating the potential SOC storage increase and related benefits by comparing SOC estimates before-and-after establishment of the SLM technology. These results are validated using comparative case studies of plots with-and-without SLM technologies (existing SLM systems versus surrounding, degrading systems). In view of upscaling SLM technologies, it is crucial to understand tradeoffs and gains supporting or hindering the further spread. Systemic biomass management analysis using material flow analysis allows quantifying organic carbon flows and storages for different land management options at the household, but also at landscape level. The study shows results relevant for science, policy and practice for accounting, monitoring and evaluating SOC related ecosystem services: - A comprehensive methodology for SLM impact assessments allowing quantification of SOC storage and SOC related benefits under different SLM technologies, and - Improved understanding of upscaling options for SLM technologies and tradeoffs as well as win-win opportunities for biomass management, SOC content increase, and ecosystem services improvement at the plot and household level.

Gender as a Moderator between Having an Anxiety Disorder Diagnosis and Coronary Artery Bypass Grafting Surgery (CABG) Outcomes in Rural Patients

ERIC Educational Resources Information Center

Dao, Tam K.; Voelkel, Emily; Presley, Sherine; Doss, Brendel; Huddleston, Cashuna; Gopaldas, Raja

2012-01-01

Purpose: This paper examines gender as a moderating variable between having an anxiety disorder diagnosis and coronary artery bypass grafting surgery (CABG) outcomes in rural patients. Methods: Using the 2008 Nationwide Inpatient Sample (NIS) database, 17,885 discharge records of patients who underwent a primary CABG surgery were identified.…

Automating Relational Database Design for Microcomputer Users.

ERIC Educational Resources Information Center

Pu, Hao-Che

1991-01-01

Discusses issues involved in automating the relational database design process for microcomputer users and presents a prototype of a microcomputer-based system (RA, Relation Assistant) that is based on expert systems technology and helps avoid database maintenance problems. Relational database design is explained and the importance of easy input…

Marine and Hydrokinetic Data | Geospatial Data Science | NREL

Science.gov Websites

. wave energy resource using a 51-month Wavewatch III hindcast database developed by the National Database The U.S. Department of Energy's Marine and Hydrokinetic Technology Database provides information database includes wave, tidal, current, and ocean thermal energy and contains information about energy

Energy science and technology database (on the internet). Online data

DOE Office of Scientific and Technical Information (OSTI.GOV)

NONE

The Energy Science and Technology Database (EDB) is a multidisciplinary file containing worldwide references to basic and applied scientific and technical research literature. The information is collected for use by government managers, researchers at the national laboratories, and other research efforts sponsored by the U.S. Department of Energy, and the results of this research are transferred to the public. Abstracts are included for records from 1976 to the present. The EDB also contains the Nuclear Science Abstracts which is a comprehensive abstract and index collection to the international nuclear science and technology literature for the period 1948 through 1976. Includedmore » are scientific and technical reports of the U.S. Atomic Energy Commission, U.S. Energy Research and Development Administration and its contractors, other agencies, universities, and industrial and research organizations. Approximately 25% of the records in the file contain abstracts. Nuclear Science Abstracts contains over 900,000 bibliographic records. The entire Energy Science and Technology Database contains over 3 million bibliographic records. This database is now available for searching through the GOV. Research-Center (GRC) service. GRC is a single online web-based search service to well known Government databases. Featuring powerful search and retrieval software, GRC is an important research tool. The GRC web site is at http://grc.ntis.gov.« less

Reflections on CD-ROM: Bridging the Gap between Technology and Purpose.

ERIC Educational Resources Information Center

Saviers, Shannon Smith

1987-01-01

Provides a technological overview of CD-ROM (Compact Disc-Read Only Memory), an optically-based medium for data storage offering large storage capacity, computer-based delivery system, read-only medium, and economic mass production. CD-ROM database attributes appropriate for information delivery are also reviewed, including large database size,…

Proposal for Implementing Multi-User Database (MUD) Technology in an Academic Library.

ERIC Educational Resources Information Center

Filby, A. M. Iliana

1996-01-01

Explores the use of MOO (multi-user object oriented) virtual environments in academic libraries to enhance reference services. Highlights include the development of multi-user database (MUD) technology from gaming to non-recreational settings; programming issues; collaborative MOOs; MOOs as distinguished from other types of virtual reality; audio…

CFTR-France, a national relational patient database for sharing genetic and phenotypic data associated with rare CFTR variants.

PubMed

Claustres, Mireille; Thèze, Corinne; des Georges, Marie; Baux, David; Girodon, Emmanuelle; Bienvenu, Thierry; Audrezet, Marie-Pierre; Dugueperoux, Ingrid; Férec, Claude; Lalau, Guy; Pagin, Adrien; Kitzis, Alain; Thoreau, Vincent; Gaston, Véronique; Bieth, Eric; Malinge, Marie-Claire; Reboul, Marie-Pierre; Fergelot, Patricia; Lemonnier, Lydie; Mekki, Chadia; Fanen, Pascale; Bergougnoux, Anne; Sasorith, Souphatta; Raynal, Caroline; Bareil, Corinne

2017-10-01

Most of the 2,000 variants identified in the CFTR (cystic fibrosis transmembrane regulator) gene are rare or private. Their interpretation is hampered by the lack of available data and resources, making patient care and genetic counseling challenging. We developed a patient-based database dedicated to the annotations of rare CFTR variants in the context of their cis- and trans-allelic combinations. Based on almost 30 years of experience of CFTR testing, CFTR-France (https://cftr.iurc.montp.inserm.fr/cftr) currently compiles 16,819 variant records from 4,615 individuals with cystic fibrosis (CF) or CFTR-RD (related disorders), fetuses with ultrasound bowel anomalies, newborns awaiting clinical diagnosis, and asymptomatic compound heterozygotes. For each of the 736 different variants reported in the database, patient characteristics and genetic information (other variations in cis or in trans) have been thoroughly checked by a dedicated curator. Combining updated clinical, epidemiological, in silico, or in vitro functional data helps to the interpretation of unclassified and the reassessment of misclassified variants. This comprehensive CFTR database is now an invaluable tool for diagnostic laboratories gathering information on rare variants, especially in the context of genetic counseling, prenatal and preimplantation genetic diagnosis. CFTR-France is thus highly complementary to the international database CFTR2 focused so far on the most common CF-causing alleles. © 2017 Wiley Periodicals, Inc.

Validity of International Classification of Diseases (ICD) coding for dengue infections in hospital discharge records in Malaysia.

PubMed

Woon, Yuan-Liang; Lee, Keng-Yee; Mohd Anuar, Siti Fatimah Zahra; Goh, Pik-Pin; Lim, Teck-Onn

2018-04-20

Hospitalization due to dengue illness is an important measure of dengue morbidity. However, limited studies are based on administrative database because the validity of the diagnosis codes is unknown. We validated the International Classification of Diseases, 10th revision (ICD) diagnosis coding for dengue infections in the Malaysian Ministry of Health's (MOH) hospital discharge database. This validation study involves retrospective review of available hospital discharge records and hand-search medical records for years 2010 and 2013. We randomly selected 3219 hospital discharge records coded with dengue and non-dengue infections as their discharge diagnoses from the national hospital discharge database. We then randomly sampled 216 and 144 records for patients with and without codes for dengue respectively, in keeping with their relative frequency in the MOH database, for chart review. The ICD codes for dengue were validated against lab-based diagnostic standard (NS1 or IgM). The ICD-10-CM codes for dengue had a sensitivity of 94%, modest specificity of 83%, positive predictive value of 87% and negative predictive value 92%. These results were stable between 2010 and 2013. However, its specificity decreased substantially when patients manifested with bleeding or low platelet count. The diagnostic performance of the ICD codes for dengue in the MOH's hospital discharge database is adequate for use in health services research on dengue.

Application of viromics: a new approach to the understanding of viral infections in humans.

PubMed

Ramamurthy, Mageshbabu; Sankar, Sathish; Kannangai, Rajesh; Nandagopal, Balaji; Sridharan, Gopalan

2017-12-01

This review is focused at exploring the strengths of modern technology driven data compiled in the areas of virus gene sequencing, virus protein structures and their implication to viral diagnosis and therapy. The information for virome analysis (viromics) is generated by the study of viral genomes (entire nucleotide sequence) and viral genes (coding for protein). Presently, the study of viral infectious diseases in terms of etiopathogenesis and development of newer therapeutics is undergoing rapid changes. Currently, viromics relies on deep sequencing, next generation sequencing (NGS) data and public domain databases like GenBank and unique virus specific databases. Two commonly used NGS platforms: Illumina and Ion Torrent, recommend maximum fragment lengths of about 300 and 400 nucleotides for analysis respectively. Direct detection of viruses in clinical samples is now evolving using these methods. Presently, there are a considerable number of good treatment options for HBV/HIV/HCV. These viruses however show development of drug resistance. The drug susceptibility regions of the genomes are sequenced and the prediction of drug resistance is now possible from 3 public domains available on the web. This has been made possible through advances in the technology with the advent of high throughput sequencing and meta-analysis through sophisticated and easy to use software and the use of high speed computers for bioinformatics. More recently NGS technology has been improved with single-molecule real-time sequencing. Here complete long reads can be obtained with less error overcoming a limitation of the NGS which is inherently prone to software anomalies that arise in the hands of personnel without adequate training. The development in understanding the viruses in terms of their genome, pathobiology, transcriptomics and molecular epidemiology constitutes viromics. It could be stated that these developments will bring about radical changes and advancement especially in the field of antiviral therapy and diagnostic virology.

A fast and efficient method for device level layout analysis

NASA Astrophysics Data System (ADS)

Dong, YaoQi; Zou, Elaine; Pang, Jenny; Huang, Lucas; Yang, Legender; Zhang, Chunlei; Du, Chunshan; Hu, Xinyi; Wan, Qijian

2017-03-01

There is an increasing demand for device level layout analysis, especially as technology advances. The analysis is to study standard cells by extracting and classifying critical dimension parameters. There are couples of parameters to extract, like channel width, length, gate to active distance, and active to adjacent active distance, etc. for 14nm technology, there are some other parameters that are cared about. On the one hand, these parameters are very important for studying standard cell structures and spice model development with the goal of improving standard cell manufacturing yield and optimizing circuit performance; on the other hand, a full chip device statistics analysis can provide useful information to diagnose the yield issue. Device analysis is essential for standard cell customization and enhancements and manufacturability failure diagnosis. Traditional parasitic parameters extraction tool like Calibre xRC is powerful but it is not sufficient for this device level layout analysis application as engineers would like to review, classify and filter out the data more easily. This paper presents a fast and efficient method based on Calibre equation-based DRC (eqDRC). Equation-based DRC extends the traditional DRC technology to provide a flexible programmable modeling engine which allows the end user to define grouped multi-dimensional feature measurements using flexible mathematical expressions. This paper demonstrates how such an engine and its programming language can be used to implement critical device parameter extraction. The device parameters are extracted and stored in a DFM database which can be processed by Calibre YieldServer. YieldServer is data processing software that lets engineers query, manipulate, modify, and create data in a DFM database. These parameters, known as properties in eqDRC language, can be annotated back to the layout for easily review. Calibre DesignRev can create a HTML formatted report of the results displayed in Calibre RVE which makes it easy to share results among groups. This method has been proven and used in SMIC PDE team and SPICE team.

Antimüllerian hormone as a predictor of live birth following assisted reproduction: an analysis of 85,062 fresh and thawed cycles from the Society for Assisted Reproductive Technology Clinic Outcome Reporting System database for 2012-2013.

PubMed

Tal, Reshef; Seifer, David B; Wantman, Ethan; Baker, Valerie; Tal, Oded

2018-02-01

To determine if serum antimüllerian hormone (AMH) is associated with and/or predictive of live birth assisted reproductive technology (ART) outcomes. Retrospective analysis of Society for Assisted Reproductive Technology Clinic Outcome Reporting System database from 2012 to 2013. Not applicable. A total of 69,336 (81.8%) fresh and 15,458 (18.2%) frozen embryo transfer (FET) cycles with AMH values. None. Live birth. A total of 85,062 out of 259,499 (32.7%) fresh and frozen-thawed autologous non-preimplantation genetic diagnosis cycles had AMH reported for cycles over this 2-year period. Of those, 70,565 cycles which had embryo transfers were included in the analysis. Serum AMH was significantly associated with live birth outcome per transfer in both fresh and FET cycles. Multiple logistic regression demonstrated that AMH is an independent predictor of live birth in fresh transfer cycles and FET cycles when controlling for age, body mass index, race, day of transfer, and number of embryos transferred. Receiver operating characteristic (ROC) curves demonstrated that the areas under the curve (AUC) for AMH as predictors of live birth in fresh cycles and thawed cycles were 0.631 and 0.540, respectively, suggesting that AMH alone is a weak independent predictor of live birth after ART. Similar ROC curves were obtained also when elective single-embryo transfer (eSET) cycles were analyzed separately in either fresh (AUC 0.655) or FET (AUC 0.533) cycles, although AMH was not found to be an independent predictor in eSET cycles. AMH is a poor independent predictor of live birth outcome in either fresh or frozen embryo transfer for both eSET and non-SET transfers. Copyright © 2017 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

A Knowledge Database on Thermal Control in Manufacturing Processes

NASA Astrophysics Data System (ADS)

Hirasawa, Shigeki; Satoh, Isao

A prototype version of a knowledge database on thermal control in manufacturing processes, specifically, molding, semiconductor manufacturing, and micro-scale manufacturing has been developed. The knowledge database has search functions for technical data, evaluated benchmark data, academic papers, and patents. The database also displays trends and future roadmaps for research topics. It has quick-calculation functions for basic design. This paper summarizes present research topics and future research on thermal control in manufacturing engineering to collate the information to the knowledge database. In the molding process, the initial mold and melt temperatures are very important parameters. In addition, thermal control is related to many semiconductor processes, and the main parameter is temperature variation in wafers. Accurate in-situ temperature measurment of wafers is important. And many technologies are being developed to manufacture micro-structures. Accordingly, the knowledge database will help further advance these technologies.

A novel biomedical image indexing and retrieval system via deep preference learning.

PubMed

Pang, Shuchao; Orgun, Mehmet A; Yu, Zhezhou

2018-05-01

The traditional biomedical image retrieval methods as well as content-based image retrieval (CBIR) methods originally designed for non-biomedical images either only consider using pixel and low-level features to describe an image or use deep features to describe images but still leave a lot of room for improving both accuracy and efficiency. In this work, we propose a new approach, which exploits deep learning technology to extract the high-level and compact features from biomedical images. The deep feature extraction process leverages multiple hidden layers to capture substantial feature structures of high-resolution images and represent them at different levels of abstraction, leading to an improved performance for indexing and retrieval of biomedical images. We exploit the current popular and multi-layered deep neural networks, namely, stacked denoising autoencoders (SDAE) and convolutional neural networks (CNN) to represent the discriminative features of biomedical images by transferring the feature representations and parameters of pre-trained deep neural networks from another domain. Moreover, in order to index all the images for finding the similarly referenced images, we also introduce preference learning technology to train and learn a kind of a preference model for the query image, which can output the similarity ranking list of images from a biomedical image database. To the best of our knowledge, this paper introduces preference learning technology for the first time into biomedical image retrieval. We evaluate the performance of two powerful algorithms based on our proposed system and compare them with those of popular biomedical image indexing approaches and existing regular image retrieval methods with detailed experiments over several well-known public biomedical image databases. Based on different criteria for the evaluation of retrieval performance, experimental results demonstrate that our proposed algorithms outperform the state-of-the-art techniques in indexing biomedical images. We propose a novel and automated indexing system based on deep preference learning to characterize biomedical images for developing computer aided diagnosis (CAD) systems in healthcare. Our proposed system shows an outstanding indexing ability and high efficiency for biomedical image retrieval applications and it can be used to collect and annotate the high-resolution images in a biomedical database for further biomedical image research and applications. Copyright © 2018 Elsevier B.V. All rights reserved.

The diagnostic accuracy of the natriuretic peptides in heart failure: systematic review and diagnostic meta-analysis in the acute care setting.

PubMed

Roberts, Emmert; Ludman, Andrew J; Dworzynski, Katharina; Al-Mohammad, Abdallah; Cowie, Martin R; McMurray, John J V; Mant, Jonathan

2015-03-04

To determine and compare the diagnostic accuracy of serum natriuretic peptide levels (B type natriuretic peptide, N terminal probrain natriuretic peptide (NTproBNP), and mid-regional proatrial natriuretic peptide (MRproANP)) in people presenting with acute heart failure to acute care settings using thresholds recommended in the 2012 European Society of Cardiology guidelines for heart failure. Systematic review and diagnostic meta-analysis. Medline, Embase, Cochrane central register of controlled trials, Cochrane database of systematic reviews, database of abstracts of reviews of effects, NHS economic evaluation database, and Health Technology Assessment up to 28 January 2014, using combinations of subject headings and terms relating to heart failure and natriuretic peptides. Eligible studies evaluated one or more natriuretic peptides (B type natriuretic peptide, NTproBNP, or MRproANP) in the diagnosis of acute heart failure against an acceptable reference standard in consecutive or randomly selected adults in an acute care setting. Studies were excluded if they did not present sufficient data to extract or calculate true positives, false positives, false negatives, and true negatives, or report age independent natriuretic peptide thresholds. Studies not available in English were also excluded. 37 unique study cohorts described in 42 study reports were included, with a total of 48 test evaluations reporting 15 263 test results. At the lower recommended thresholds of 100 ng/L for B type natriuretic peptide and 300 ng/L for NTproBNP, the natriuretic peptides have sensitivities of 0.95 (95% confidence interval 0.93 to 0.96) and 0.99 (0.97 to 1.00) and negative predictive values of 0.94 (0.90 to 0.96) and 0.98 (0.89 to 1.0), respectively, for a diagnosis of acute heart failure. At the lower recommended threshold of 120 pmol/L, MRproANP has a sensitivity ranging from 0.95 (range 0.90-0.98) to 0.97 (0.95-0.98) and a negative predictive value ranging from 0.90 (0.80-0.96) to 0.97 (0.96-0.98). At higher thresholds the sensitivity declined progressively and specificity remained variable across the range of values. There was no statistically significant difference in diagnostic accuracy between plasma B type natriuretic peptide and NTproBNP. At the rule-out thresholds recommended in the 2012 European Society of Cardiology guidelines for heart failure, plasma B type natriuretic peptide, NTproBNP, and MRproANP have excellent ability to exclude acute heart failure. Specificity is variable, and so imaging to confirm a diagnosis of heart failure is required. There is no statistical difference between the diagnostic accuracy of plasma B type natriuretic peptide and NTproBNP. Introduction of natriuretic peptide measurement in the investigation of patients with suspected acute heart failure has the potential to allow rapid and accurate exclusion of the diagnosis. © Roberts et al 2015.

Flexible solution for interoperable cloud healthcare systems.

PubMed

Vida, Mihaela Marcella; Lupşe, Oana Sorina; Stoicu-Tivadar, Lăcrămioara; Bernad, Elena

2012-01-01

It is extremely important for the healthcare domain to have a standardized communication because will improve the quality of information and in the end the resulting benefits will improve the quality of patients' life. The standards proposed to be used are: HL7 CDA and CCD. For a better access to the medical data a solution based on cloud computing (CC) is investigated. CC is a technology that supports flexibility, seamless care, and reduced costs of the medical act. To ensure interoperability between healthcare information systems a solution creating a Web Custom Control is presented. The control shows the database tables and fields used to configure the two standards. This control will facilitate the work of the medical staff and hospital administrators, because they can configure the local system easily and prepare it for communication with other systems. The resulted information will have a higher quality and will provide knowledge that will support better patient management and diagnosis.

Contourlet Textual Features: Improving the Diagnosis of Solitary Pulmonary Nodules in Two Dimensional CT Images

PubMed Central

Wang, Jingjing; Sun, Tao; Gao, Ni; Menon, Desmond Dev; Luo, Yanxia; Gao, Qi; Li, Xia; Wang, Wei; Zhu, Huiping; Lv, Pingxin; Liang, Zhigang; Tao, Lixin; Liu, Xiangtong; Guo, Xiuhua

2014-01-01

Objective To determine the value of contourlet textural features obtained from solitary pulmonary nodules in two dimensional CT images used in diagnoses of lung cancer. Materials and Methods A total of 6,299 CT images were acquired from 336 patients, with 1,454 benign pulmonary nodule images from 84 patients (50 male, 34 female) and 4,845 malignant from 252 patients (150 male, 102 female). Further to this, nineteen patient information categories, which included seven demographic parameters and twelve morphological features, were also collected. A contourlet was used to extract fourteen types of textural features. These were then used to establish three support vector machine models. One comprised a database constructed of nineteen collected patient information categories, another included contourlet textural features and the third one contained both sets of information. Ten-fold cross-validation was used to evaluate the diagnosis results for the three databases, with sensitivity, specificity, accuracy, the area under the curve (AUC), precision, Youden index, and F-measure were used as the assessment criteria. In addition, the synthetic minority over-sampling technique (SMOTE) was used to preprocess the unbalanced data. Results Using a database containing textural features and patient information, sensitivity, specificity, accuracy, AUC, precision, Youden index, and F-measure were: 0.95, 0.71, 0.89, 0.89, 0.92, 0.66, and 0.93 respectively. These results were higher than results derived using the database without textural features (0.82, 0.47, 0.74, 0.67, 0.84, 0.29, and 0.83 respectively) as well as the database comprising only textural features (0.81, 0.64, 0.67, 0.72, 0.88, 0.44, and 0.85 respectively). Using the SMOTE as a pre-processing procedure, new balanced database generated, including observations of 5,816 benign ROIs and 5,815 malignant ROIs, and accuracy was 0.93. Conclusion Our results indicate that the combined contourlet textural features of solitary pulmonary nodules in CT images with patient profile information could potentially improve the diagnosis of lung cancer. PMID:25250576

Designing and recruiting to UK autism spectrum disorder research databases: do they include representative children with valid ASD diagnoses?

PubMed Central

Warnell, F; George, B; McConachie, H; Johnson, M; Hardy, R; Parr, J R

2015-01-01

Objectives (1) Describe how the Autism Spectrum Database-UK (ASD-UK) was established; (2) investigate the representativeness of the first 1000 children and families who participated, compared to those who chose not to; (3) investigate the reliability of the parent-reported Autism Spectrum Disorder (ASD) diagnoses, and present evidence about the validity of diagnoses, that is, whether children recruited actually have an ASD; (4) present evidence about the representativeness of the ASD-UK children and families, by comparing their characteristics with the first 1000 children and families from the regional Database of children with ASD living in the North East (Daslne), and children and families identified from epidemiological studies. Setting Recruitment through a network of 50 UK child health teams and self-referral. Patients Parents/carers with a child with ASD, aged 2–16 years, completed questionnaires about ASD and some gave professionals’ reports about their children. Results 1000 families registered with ASD-UK in 30 months. Children of families who participated, and of the 208 who chose not to, were found to be very similar on: gender ratio, year of birth, ASD diagnosis and social deprivation score. The reliability of parent-reported ASD diagnoses of children was very high when compared with clinical reports (over 96%); no database child without ASD was identified. A comparison of gender, ASD diagnosis, age at diagnosis, school placement, learning disability, and deprivation score of children and families from ASD-UK with 1084 children and families from Daslne, and families from population studies, showed that ASD-UK families are representative of families of children with ASD overall. Conclusions ASD-UK includes families providing parent-reported data about their child and family, who appear to be broadly representative of UK children with ASD. Families continue to join the databases and more than 3000 families can now be contacted by researchers about UK autism research. PMID:26341584

[Critical analysis of French DRG based information system (PMSI) databases for the epidemiology of cancer: a longitudinal approach becomes possible].

PubMed

Olive, F; Gomez, F; Schott, A-M; Remontet, L; Bossard, N; Mitton, N; Polazzi, S; Colonna, M; Trombert-Paviot, B

2011-02-01

Use of French Diagnosis Related Groups (DRGs) program databases, apart from financial purposes, has recently been improved since a unique anonymous patient identification number has been created for each inpatient in administrative case mix database. Based on the work of the group for cancer epidemiological observation in the Rhône-Alpes area, (ONC-EPI group), we review the remaining difficulties in the use of DRG data for epidemiological purposes and we consider a longitudinal approach based on analysis of database over several years. We also discuss limitations of this approach. The main problems are related to a lack of quality of administrative data, especially coding of diagnoses. These errors come from missing or inappropriate codes, or not being in accordance with prioritization rules (causing an over- or under-reporting or inconsistencies in coding over time). One difficulty, partly due to the hierarchy of coding and the type of cancer, is the choice of an extraction algorithm. In two studies designed to estimate the incidence of cancer cared in hospitals (breast, colon-rectum, kidney, ovaries), a first algorithm, including a code of cancer as principal diagnosis with a selection of surgical procedures less performed than the second one including a code of cancer as principal diagnosis only, for which the number of hospitalizations per patient ratio was stable across time and space. The chaining over several years allows, by tracing the trajectory of the patient, to detect and correct inaccuracies, errors and missing values, and for incidence studies, to correct incident cases by removing prevalent cases. However, linkage, complete only since 2007, does not correct data in all cases. Ways of future improvement certainly pass through improved algorithms for case identification and especially by linking DRG data with other databases. Copyright © 2010 Elsevier Masson SAS. All rights reserved.

The health systems' priority setting criteria for selecting health technologies: A systematic review of the current evidence.

PubMed

Mobinizadeh, Mohammadreza; Raeissi, Pouran; Nasiripour, Amir Ashkan; Olyaeemanesh, Alireza; Tabibi, Seyed Jamaleddin

2016-01-01

In the recent years, using health technologies to diagnose and treat diseases has had a considerable and accelerated growth. The proper use of these technologies may considerably help in the diagnosis and treatment of different diseases. On the other hand, unlimited and unrestricted entry of these technologies may result in induced demand by service providers. The aim of this study was to determine the appropriate criteria used in health technologies priority-setting models in the world. Using MESH and free text, we sought and retrieved the relevant articles from the most appropriate medical databases (the Cochrane Library, PubMed and Scopus) through three separate search strategies up to March 2015. The inclusion criteria were as follows: 1) Studies with specific criteria; 2) Articles written in English; 3) Those articles conducted in compliance with priority setting of health technologies. Data were analyzed qualitatively using a thematic synthesis technique. After screening the retrieved papers via PRISMA framework, from the 7,012 papers, 40 studies were included in the final phase. Criteria for selecting health technologies (in pre assessment and in the assessment phase) were categorized into six main themes: 1) Health outcomes; 2) Disease and target population; 3) Technology alternatives; 4) Economic aspects; 5) Evidence; 6) and other factors. "Health effects/benefits" had the maximum frequency in health outcomes (8 studies); "disease severity" had the maximum frequency in disease and target population (12 studies); "the number of alternatives" had the maximum frequency in alternatives (2 studies); "cost-effectiveness" had the maximum frequency in economic aspects (15 studies); "quality of evidence" had the maximum frequency in evidence (4 studies); and "issues concerning the health system" had the maximum frequency in other factors (10 studies). The results revealed an increase in the number of studies on health technologies priority setting around the world, and emphasized the necessity of application of a multi- criteria approach for appropriate decision making about healthcare technologies in the health systems.

Computer-aided-diagnosis (CAD) for colposcopy

NASA Astrophysics Data System (ADS)

Lange, Holger; Ferris, Daron G.

2005-04-01

Uterine cervical cancer is the second most common cancer among women worldwide. Colposcopy is a diagnostic method, whereby a physician (colposcopist) visually inspects the lower genital tract (cervix, vulva and vagina), with special emphasis on the subjective appearance of metaplastic epithelium comprising the transformation zone on the cervix. Cervical cancer precursor lesions and invasive cancer exhibit certain distinctly abnormal morphologic features. Lesion characteristics such as margin; color or opacity; blood vessel caliber, intercapillary spacing and distribution; and contour are considered by colposcopists to derive a clinical diagnosis. Clinicians and academia have suggested and shown proof of concept that automated image analysis of cervical imagery can be used for cervical cancer screening and diagnosis, having the potential to have a direct impact on improving women"s health care and reducing associated costs. STI Medical Systems is developing a Computer-Aided-Diagnosis (CAD) system for colposcopy -- ColpoCAD. At the heart of ColpoCAD is a complex multi-sensor, multi-data and multi-feature image analysis system. A functional description is presented of the envisioned ColpoCAD system, broken down into: Modality Data Management System, Image Enhancement, Feature Extraction, Reference Database, and Diagnosis and directed Biopsies. The system design and development process of the image analysis system is outlined. The system design provides a modular and open architecture built on feature based processing. The core feature set includes the visual features used by colposcopists. This feature set can be extended to include new features introduced by new instrument technologies, like fluorescence and impedance, and any other plausible feature that can be extracted from the cervical data. Preliminary results of our research on detecting the three most important features: blood vessel structures, acetowhite regions and lesion margins are shown. As this is a new and very complex field in medical image processing, the hope is that this paper can provide a framework and basis to encourage and facilitate collaboration and discussion between industry, academia, and medical practitioners.

A methodological overview on molecular preimplantation genetic diagnosis and screening: a genomic future?

PubMed

Vendrell, Xavier; Bautista-Llácer, Rosa

2012-12-01

The genetic diagnosis and screening of preimplantation embryos generated by assisted reproduction technology has been consolidated in the prenatal care framework. The rapid evolution of DNA technologies is tending to molecular approaches. Our intention is to present a detailed methodological view, showing different diagnostic strategies based on molecular techniques that are currently applied in preimplantation genetic diagnosis. The amount of DNA from one single, or a few cells, obtained by embryo biopsy is a limiting factor for the molecular analysis. In this sense, genetic laboratories have developed molecular protocols considering this restrictive condition. Nevertheless, the development of whole-genome amplification methods has allowed preimplantation genetic diagnosis for two or more indications simultaneously, like the selection of histocompatible embryos plus detection of monogenic diseases or aneuploidies. Moreover, molecular techniques have permitted preimplantation genetic screening to progress, by implementing microarray-based comparative genome hybridization. Finally, a future view of the embryo-genetics field based on molecular advances is proposed. The normalization, cost-effectiveness analysis, and new technological tools are the next topics for preimplantation genetic diagnosis and screening. Concomitantly, these additions to assisted reproduction technologies could have a positive effect on the schedules of preimplantation studies.

An Examination of Selected Software Testing Tools: 1992

DTIC Science & Technology

1992-12-01

Report ....................................................... 27-19 Figure 27-17. Metrics Manager Database Full Report...historical test database , the test management and problem reporting tools were examined using the sample test database provided by each supplier. 4-4...track the impact of new methods, organi- zational structures, and technologies. Metrics Manager is supported by an industry database that allows

Veterans Administration Databases

Cancer.gov

The Veterans Administration Information Resource Center provides database and informatics experts, customer service, expert advice, information products, and web technology to VA researchers and others.

Analysis of outcomes in radiation oncology: An integrated computational platform

PubMed Central

Liu, Dezhi; Ajlouni, Munther; Jin, Jian-Yue; Ryu, Samuel; Siddiqui, Farzan; Patel, Anushka; Movsas, Benjamin; Chetty, Indrin J.

2009-01-01

Radiotherapy research and outcome analyses are essential for evaluating new methods of radiation delivery and for assessing the benefits of a given technology on locoregional control and overall survival. In this article, a computational platform is presented to facilitate radiotherapy research and outcome studies in radiation oncology. This computational platform consists of (1) an infrastructural database that stores patient diagnosis, IMRT treatment details, and follow-up information, (2) an interface tool that is used to import and export IMRT plans in DICOM RT and AAPM/RTOG formats from a wide range of planning systems to facilitate reproducible research, (3) a graphical data analysis and programming tool that visualizes all aspects of an IMRT plan including dose, contour, and image data to aid the analysis of treatment plans, and (4) a software package that calculates radiobiological models to evaluate IMRT treatment plans. Given the limited number of general-purpose computational environments for radiotherapy research and outcome studies, this computational platform represents a powerful and convenient tool that is well suited for analyzing dose distributions biologically and correlating them with the delivered radiation dose distributions and other patient-related clinical factors. In addition the database is web-based and accessible by multiple users, facilitating its convenient application and use. PMID:19544785

Directory of On-Line Networks, Databases and Bulletin Boards on Assistive Technology. Second Edition. RESNA Technical Assistance Project.

ERIC Educational Resources Information Center

RESNA: Association for the Advancement of Rehabilitation Technology, Washington, DC.

This resource directory provides a selective listing of electronic networks, online databases, and bulletin boards that highlight technology-related services and products. For each resource, the following information is provided: name, address, and telephone number; description; target audience; hardware/software needs to access the system;…

Examining the Factors That Contribute to Successful Database Application Implementation Using the Technology Acceptance Model

ERIC Educational Resources Information Center

Nworji, Alexander O.

2013-01-01

Most organizations spend millions of dollars due to the impact of improperly implemented database application systems as evidenced by poor data quality problems. The purpose of this quantitative study was to use, and extend, the technology acceptance model (TAM) to assess the impact of information quality and technical quality factors on database…

An Overview to Research on Education Technology Based on Constructivist Learning Approach

ERIC Educational Resources Information Center

Asiksoy, Gulsum; Ozdamli, Fezile

2017-01-01

The aim of this research is to determine the trends of education technology researches on Constructivist Learning Approach, which were published on database of ScienceDirect between 2010 and 2016. It also aims to guide researchers who will do studies in this field. After scanning the database, 81 articles published on ScienceDirect's data base…

Nursing diagnoses for the elderly using the International Classification for Nursing Practice and the activities of living model.

PubMed

de Medeiros, Ana Claudia Torres; da Nóbrega, Maria Miriam Lima; Rodrigues, Rosalina Aparecida Partezani; Fernandes, Maria das Graças Melo

2013-01-01

To develop nursing diagnosis statements for the elderly based on the Activities of Living Model and on the International Classification for Nursing Practice. Descriptive and exploratory study, put in practice in two stages: 1) collection of terms and concepts that are considered clinically and culturally relevant for nursing care delivered to the elderly, in order to develop a database of terms and 2) development of nursing diagnosis statements for the elderly in primary health care, based on the guidelines of the International Council of Nurses and on the database of terms for nursing practice involving the elderly. 414 terms were identified and submitted to the content validation process, with the participation of ten nursing experts, which resulted in 263 validated terms. These terms were submitted to cross mapping with the terms of the International Classification for Nursing Practice, resulting in the identification of 115 listed terms and 148 non-listed terms, which constituted the database of terms, from which 127 nursing diagnosis statements were prepared and classified into factors that affect the performance of the elderly's activities of living - 69 into biological factors, 19 into psychological, 31 into sociocultural, five into environmental, and three into political-economic factors. After clinical validation, these statements can serve as a guide for nursing consultations with elderly patients, without ignoring clinical experience, critical thinking and decision-making.

Multiple endocrine neoplasia syndrome type 1: institution, management, and data analysis of a nationwide multicenter patient database.

PubMed

Giusti, Francesca; Cianferotti, Luisella; Boaretto, Francesca; Cetani, Filomena; Cioppi, Federica; Colao, Annamaria; Davì, Maria Vittoria; Faggiano, Antongiulio; Fanciulli, Giuseppe; Ferolla, Piero; Ferone, Diego; Fossi, Caterina; Giudici, Francesco; Gronchi, Giorgio; Loli, Paola; Mantero, Franco; Marcocci, Claudio; Marini, Francesca; Masi, Laura; Opocher, Giuseppe; Beck-Peccoz, Paolo; Persani, Luca; Scillitani, Alfredo; Sciortino, Giovanna; Spada, Anna; Tomassetti, Paola; Tonelli, Francesco; Brandi, Maria Luisa

2017-11-01

The aim of this study was to integrate European epidemiological data on patients with multiple endocrine neoplasia type 1 by creating an Italian registry of this syndrome, including clinical and genetic characteristics and therapeutic management. Clinical, familial and genetic data of patients with multiple endocrine neoplasia type 1, diagnosed, treated, and followed-up for a mean time of 11.3 years, in 14 Italian referral endocrinological centers, were collected, over a 3-year course (2011-2013), to build a national electronic database. The Italian multiple endocrine neoplasia type 1 database includes 475 patients (271 women and 204 men), of whom 383 patients (80.6%) were classified as familial cases (from 136 different pedigrees), and 92 (19.4%) patients were sporadic cases. A MEN1 mutation was identified in 92.6% of familial cases and in 48.9% of sporadic cases. Four hundred thirty-six patients were symptomatic, presenting primary hyperparathyroidism, gastroenteropancreatic neuroendocrine tumors and pituitary tumors in 93, 53, and 41% of cases, respectively. Thirty-nine subjects, belonging to affected pedigrees positive for a MEN1 mutation, were asymptomatic at clinical and biochemical screening. Age at diagnosis of multiple endocrine neoplasia type 1 probands was similar for both familial and simplex cases (mean age 47.2 ± 15.3 years). In familial cases, diagnosis of multiple endocrine neoplasia type 1 in relatives of affected probands was made more than 10 years in advance (mean age at diagnosis 36.5 ± 17.6 years). The analysis of Italian registry of multiple endocrine neoplasia type 1 patients revealed that clinical features of Italian multiple endocrine neoplasia type 1 patients are similar to those of other western countries, and confirmed that the genetic test allowed multiple endocrine neoplasia type 1 diagnosis 10 years earlier than biochemical or clinical diagnosis.

Critical Needs for Robust and Reliable Database for Design and Manufacturing of Ceramic Matrix Composites

NASA Technical Reports Server (NTRS)

Singh, M.

1999-01-01

Ceramic matrix composite (CMC) components are being designed, fabricated, and tested for a number of high temperature, high performance applications in aerospace and ground based systems. The critical need for and the role of reliable and robust databases for the design and manufacturing of ceramic matrix composites are presented. A number of issues related to engineering design, manufacturing technologies, joining, and attachment technologies, are also discussed. Examples of various ongoing activities in the area of composite databases. designing to codes and standards, and design for manufacturing are given.

Endoscopic Management of Early Adenocarcinoma and Squamous Cell Carcinoma of the Esophagus: Screening, Diagnosis, and Therapy.

PubMed

di Pietro, Massimiliano; Canto, Marcia I; Fitzgerald, Rebecca C

2018-01-01

Because the esophagus is easily accessible with endoscopy, early diagnosis and curative treatment of esophageal cancer is possible. However, diagnosis is often delayed because symptoms are not specific during early stages of tumor development. The onset of dysphagia is associated with advanced disease, which has a survival at 5 years lower than 15%. Population screening by endoscopy is not cost-effective, but a number of alternative imaging and cell analysis technologies are under investigation. The ideal screening test should be inexpensive, well tolerated, and applicable to primary care. Over the past 10 years, significant progress has been made in endoscopic diagnosis and treatment of dysplasia (squamous and Barrett's), and early esophageal cancer using resection and ablation technologies supported by evidence from randomized controlled trials. We review the state-of-the-art technologies for early diagnosis and minimally invasive treatment, which together could reduce the burden of disease. Copyright © 2018 AGA Institute. Published by Elsevier Inc. All rights reserved.

Computer-assisted history-taking systems (CAHTS) in health care: benefits, risks and potential for further development.

PubMed

Pappas, Yannis; Anandan, Chantelle; Liu, Joseph; Car, Josip; Sheikh, Aziz; Majeed, Azeem

2011-01-01

A computer-assisted history-taking system (CAHTS) is a tool that aids clinicians in gathering data from patients to inform a diagnosis or treatment plan. Despite the many possible applications and even though CAHTS have been available for nearly three decades, these remain underused in routine clinical practice. Through an interpretative review of the literature, we provide an overview of the field of CAHTS, which also offers an understanding of the impact of these systems on policy, practice and research. We conducted a search and critique of the literature on CAHTS. Using a comprehensive set of terms, we searched: MEDLINE, EMBASE, The Cochrane Database of Systematic Reviews, Database of Abstracts of Reviews of Effects, The Cochrane Central Register of Controlled Trials, The Cochrane Methodology Register, Health Technology Assessment Database and the NHS Economic Evaluation Database over a ten-year period (January 1997 to May 2007) to identify systematic reviews, technical reports and health technology assessments, and randomised controlled trials. The systematic review of the literature suggests that CAHTS can save professionals' time, improve delivery of care to those with special needs and also facilitate the collection of information, especially potentially sensitive information (e.g. sexual history, alcohol consumption). The use of CAHTS also has disadvantages that impede the process of history taking and may pose risks to patients. CAHTS are inherently limited when detecting non-verbal communication, may pose irrelevant questions and frustrate the users with technical problems. Our review suggests that barriers such as a preference for pen-and-paper methods and concerns about data loss and security still exist and affect the adoption of CAHTS. In terms of policy and practice, CAHTS make input of data from disparate sites possible, which facilitates work from disparate sites and the collection of data for nationwide screening programmes such as the vascular risk assessment programme for people aged 40-74, now starting in England. Our review shows that for CAHTS to be adopted in mainstream health care, important changes should take place in how we conceive, plan and conduct primary and secondary research on the topic so that we provide the framework for a comprehensive evaluation that will lead to an evidence base to inform policy and practice.

Initial experiences with building a health care infrastructure based on Java and object-oriented database technology.

PubMed

Dionisio, J D; Sinha, U; Dai, B; Johnson, D B; Taira, R K

1999-01-01

A multi-tiered telemedicine system based on Java and object-oriented database technology has yielded a number of practical insights and experiences on their effectiveness and suitability as implementation bases for a health care infrastructure. The advantages and drawbacks to their use, as seen within the context of the telemedicine system's development, are discussed. Overall, these technologies deliver on their early promise, with a few remaining issues that are due primarily to their relative newness.

High-Performance Secure Database Access Technologies for HEP Grids

DOE Office of Scientific and Technical Information (OSTI.GOV)

Matthew Vranicar; John Weicher

2006-04-17

The Large Hadron Collider (LHC) at the CERN Laboratory will become the largest scientific instrument in the world when it starts operations in 2007. Large Scale Analysis Computer Systems (computational grids) are required to extract rare signals of new physics from petabytes of LHC detector data. In addition to file-based event data, LHC data processing applications require access to large amounts of data in relational databases: detector conditions, calibrations, etc. U.S. high energy physicists demand efficient performance of grid computing applications in LHC physics research where world-wide remote participation is vital to their success. To empower physicists with data-intensive analysismore » capabilities a whole hyperinfrastructure of distributed databases cross-cuts a multi-tier hierarchy of computational grids. The crosscutting allows separation of concerns across both the global environment of a federation of computational grids and the local environment of a physicist’s computer used for analysis. Very few efforts are on-going in the area of database and grid integration research. Most of these are outside of the U.S. and rely on traditional approaches to secure database access via an extraneous security layer separate from the database system core, preventing efficient data transfers. Our findings are shared by the Database Access and Integration Services Working Group of the Global Grid Forum, who states that "Research and development activities relating to the Grid have generally focused on applications where data is stored in files. However, in many scientific and commercial domains, database management systems have a central role in data storage, access, organization, authorization, etc, for numerous applications.” There is a clear opportunity for a technological breakthrough, requiring innovative steps to provide high-performance secure database access technologies for grid computing. We believe that an innovative database architecture where the secure authorization is pushed into the database engine will eliminate inefficient data transfer bottlenecks. Furthermore, traditionally separated database and security layers provide an extra vulnerability, leaving a weak clear-text password authorization as the only protection on the database core systems. Due to the legacy limitations of the systems’ security models, the allowed passwords often can not even comply with the DOE password guideline requirements. We see an opportunity for the tight integration of the secure authorization layer with the database server engine resulting in both improved performance and improved security. Phase I has focused on the development of a proof-of-concept prototype using Argonne National Laboratory’s (ANL) Argonne Tandem-Linac Accelerator System (ATLAS) project as a test scenario. By developing a grid-security enabled version of the ATLAS project’s current relation database solution, MySQL, PIOCON Technologies aims to offer a more efficient solution to secure database access.« less

An Evaluation of Algorithms for Identifying Metastatic Breast, Lung, or Colorectal Cancer in Administrative Claims Data.

PubMed

Whyte, Joanna L; Engel-Nitz, Nicole M; Teitelbaum, April; Gomez Rey, Gabriel; Kallich, Joel D

2015-07-01

Administrative health care claims data are used for epidemiologic, health services, and outcomes cancer research and thus play a significant role in policy. Cancer stage, which is often a major driver of cost and clinical outcomes, is not typically included in claims data. Evaluate algorithms used in a dataset of cancer patients to identify patients with metastatic breast (BC), lung (LC), or colorectal (CRC) cancer using claims data. Clinical data on BC, LC, or CRC patients (between January 1, 2007 and March 31, 2010) were linked to a health care claims database. Inclusion required health plan enrollment ≥3 months before initial cancer diagnosis date. Algorithms were used in the claims database to identify patients' disease status, which was compared with physician-reported metastases. Generic and tumor-specific algorithms were evaluated using ICD-9 codes, varying diagnosis time frames, and including/excluding other tumors. Positive and negative predictive values, sensitivity, and specificity were assessed. The linked databases included 14,480 patients; of whom, 32%, 17%, and 14.2% had metastatic BC, LC, and CRC, respectively, at diagnosis and met inclusion criteria. Nontumor-specific algorithms had lower specificity than tumor-specific algorithms. Tumor-specific algorithms' sensitivity and specificity were 53% and 99% for BC, 55% and 85% for LC, and 59% and 98% for CRC, respectively. Algorithms to distinguish metastatic BC, LC, and CRC from locally advanced disease should use tumor-specific primary cancer codes with 2 claims for the specific primary cancer >30-42 days apart to reduce misclassification. These performed best overall in specificity, positive predictive values, and overall accuracy to identify metastatic cancer in a health care claims database.

The ESID Online Database network.

PubMed

Guzman, D; Veit, D; Knerr, V; Kindle, G; Gathmann, B; Eades-Perner, A M; Grimbacher, B

2007-03-01

Primary immunodeficiencies (PIDs) belong to the group of rare diseases. The European Society for Immunodeficiencies (ESID), is establishing an innovative European patient and research database network for continuous long-term documentation of patients, in order to improve the diagnosis, classification, prognosis and therapy of PIDs. The ESID Online Database is a web-based system aimed at data storage, data entry, reporting and the import of pre-existing data sources in an enterprise business-to-business integration (B2B). The online database is based on Java 2 Enterprise System (J2EE) with high-standard security features, which comply with data protection laws and the demands of a modern research platform. The ESID Online Database is accessible via the official website (http://www.esid.org/). Supplementary data are available at Bioinformatics online.

Chest Ultrasonography in Modern Day Extreme Settings: From Military Setting and Natural Disasters to Space Flights and Extreme Sports

PubMed Central

Mucci, Viviana

2018-01-01

Chest ultrasonography (CU) is a noninvasive imaging technique able to provide an immediate diagnosis of the underlying aetiology of acute respiratory failure and traumatic chest injuries. Given the great technologies, it is now possible to perform accurate CU in remote and adverse environments including the combat field, extreme sport settings, and environmental disasters, as well as during space missions. Today, the usage of CU in the extreme emergency setting is more likely to occur, as this technique proved to be a fast diagnostic tool to assist resuscitation manoeuvres and interventional procedures in many cases. A scientific literature review is presented here. This was based on a systematic search of published literature, on the following online databases: PubMed and Scopus. The following words were used: “chest sonography,” “ thoracic ultrasound,” and “lung sonography,” in different combinations with “extreme sport,” “extreme environment,” “wilderness,” “catastrophe,” and “extreme conditions.” This manuscript reports the most relevant usages of CU in the extreme setting as well as technological improvements and current limitations. CU application in the extreme setting is further encouraged here. PMID:29736195

The data and system Nikkei Telecom "Industry/Technology Information Service"

NASA Astrophysics Data System (ADS)

Kurata, Shizuya; Sueyoshi, Yukio

Nihoh Keizai Shimbun started supplying "Industry/Technology Information Service" from July 1989 as a part of Nikkei Telecom Package, which is online information service using personal computers for its terminals. Previously Nikkei's database service mainly covered such areas as economy, corporations and markets. On the other hand, the new "Industry/Technology Information Service" (main data covers industry by industry information-semi macro) is attracting a good deal of attention as it is the first to supply science and technology related database which has not been touched before. Moreover it is attracting attention technically as it has an access by gateway system to JOIS which is the first class science technology file in Japan. This report introduces data and system of "Industry/Technology Information Service" briefly.

Clinical and economic burden of idiopathic pulmonary fibrosis in Quebec, Canada.

PubMed

Tarride, Jean-Eric; Hopkins, Robert B; Burke, Natasha; Guertin, Jason R; O'Reilly, Daria; Fell, Charlene D; Dion, Genevieve; Kolb, Martin

2018-01-01

Idiopathic pulmonary fibrosis (IPF), although rare, is a severe and costly disease. To estimate the clinical and economic burden of IPF over multiple years before and after diagnosis using comprehensive administrative databases for the province of Quebec, Canada. Several administrative databases from Quebec, providing information on hospital care, community care, and pharmaceuticals, were linked over a 5-year period ending March 31, 2011, which was before approval of antifibrotic drugs in Canada. Prevalent and incident IPF cases were defined using International Classification Disease-10-CA codes and International Classification Disease-9-CM codes. We used a broad definition that excluded cases with subsequent diagnosis of other interstitial lung diseases and a narrow definition that required further diagnostic testing to confirm IPF diagnosis. Incident cases had an IPF code in a particular year without any IPF code in the 2 previous years. Health care resource utilization before and after the index diagnosis date was determined and costs calculated. Costs were expressed in 2016 Canadian dollars. Over 5-years, 10,579 (mean age: 76.4; 58% male) satisfied the broad definition of IPF and 8,683 (mean age: 74.5; 57% male) satisfied the narrow definition (82% of broad). Incidences of IPF overall were 25.8 and 21.7/100,000 population for broad and narrow definitions, respectively. Three-year survival was 40% and 37% in broad and narrow cohorts, respectively. For both cohorts, health care resource utilization and costs increased several years before diagnosis ($2,721 and $7,049/patient 5 years and 2 years prior to diagnosis using a broad definition, respectively) and remained elevated for multiple years post diagnosis ($12,978 and $8,267 at 2 and 3 years postdiagnosis). Health care resource utilization and costs of IPF increase many years prior to diagnosis. Incorporating multiyear annual costs before and after diagnosis results in a higher estimate of the economic burden of IPF than previous studies using a 1-year time frame.

Health claims database study of cyclosporine ophthalmic emulsion treatment patterns in dry eye patients

PubMed Central

Stonecipher, Karl G; Chia, Jenny; Onyenwenyi, Ahunna; Villanueva, Linda; Hollander, David A

2013-01-01

Background Dry eye is a multifactorial, symptomatic disease associated with ocular surface inflammation and tear film hyperosmolarity. This study was designed to assess patterns of topical cyclosporine ophthalmic emulsion 0.05% (Restasis®) use in dry eye patients and determine if there were any differences in use based on whether dry eye is physician-coded as a primary or nonprimary diagnosis. Methods Records for adult patients with a diagnosis of dry eye at an outpatient visit from January 1, 2008 to December 31, 2009 were selected from Truven Health MarketScan® Research Databases. The primary endpoint was percentage of patients with at least one primary versus no primary dry eye diagnosis who filled a topical cyclosporine prescription. Data analyzed included utilization of topical corticosteroids, oral tetracyclines, and punctal plugs. Results The analysis included 576,416 patients, accounting for 875,692 dry eye outpatient visits: 74.7% were female, 64.2% were ages 40–69 years, and 84.4% had at least one primary dry eye diagnosis. During 2008–2009, 15.9% of dry eye patients with a primary diagnosis versus 6.5% with no primary diagnosis filled at least one cyclosporine prescription. For patients who filled at least one prescription, the mean months’ supply of cyclosporine filled over 12 months was 4.44. Overall, 33.9% of dry eye patients filled a prescription for topical cyclosporine, topical corticosteroid, or oral tetracycline over 2 years. Conclusion Patients with a primary dry eye diagnosis were more likely to fill a topical cyclosporine prescription. Although inflammation is key to the pathophysiology of dry eye, most patients seeing a physician for dry eye may not receive anti-inflammatory therapies. PMID:24179335

Health claims database study of cyclosporine ophthalmic emulsion treatment patterns in dry eye patients.

PubMed

Stonecipher, Karl G; Chia, Jenny; Onyenwenyi, Ahunna; Villanueva, Linda; Hollander, David A

2013-01-01

Dry eye is a multifactorial, symptomatic disease associated with ocular surface inflammation and tear film hyperosmolarity. This study was designed to assess patterns of topical cyclosporine ophthalmic emulsion 0.05% (Restasis®) use in dry eye patients and determine if there were any differences in use based on whether dry eye is physician-coded as a primary or nonprimary diagnosis. Records for adult patients with a diagnosis of dry eye at an outpatient visit from January 1, 2008 to December 31, 2009 were selected from Truven Health MarketScan® Research Databases. The primary endpoint was percentage of patients with at least one primary versus no primary dry eye diagnosis who filled a topical cyclosporine prescription. Data analyzed included utilization of topical corticosteroids, oral tetracyclines, and punctal plugs. The analysis included 576,416 patients, accounting for 875,692 dry eye outpatient visits: 74.7% were female, 64.2% were ages 40-69 years, and 84.4% had at least one primary dry eye diagnosis. During 2008-2009, 15.9% of dry eye patients with a primary diagnosis versus 6.5% with no primary diagnosis filled at least one cyclosporine prescription. For patients who filled at least one prescription, the mean months' supply of cyclosporine filled over 12 months was 4.44. Overall, 33.9% of dry eye patients filled a prescription for topical cyclosporine, topical corticosteroid, or oral tetracycline over 2 years. Patients with a primary dry eye diagnosis were more likely to fill a topical cyclosporine prescription. Although inflammation is key to the pathophysiology of dry eye, most patients seeing a physician for dry eye may not receive anti-inflammatory therapies.

Agreement between hospital discharge diagnosis codes and medical records to identify metastatic colorectal cancer and associated comorbidities in elderly patients.

PubMed

Gouverneur, A; Dolatkhani, D; Rouyer, M; Grelaud, A; Francis, F; Gilleron, V; Fourrier-Réglat, A; Noize, P

2017-08-01

Quality of coding to identify cancers and comorbidities through the French hospital diagnosis database (Programme de médicalisation des systèmes d'information, PMSI) has been little investigated. Agreement between medical records and PMSI database was evaluated regarding metastatic colorectal cancer (mCRC) and comorbidities. From 01/01/2013 to 06/30/2014, 74 patients aged≥65years at mCRC diagnosis were identified in Bordeaux teaching hospital. Data on mCRC and comorbidities were collected from medical records. All diagnosis codes (main, related and associated) registered into the PMSI were extracted. Agreement between sources was evaluated using the percent agreement for mCRC and the kappa (κ) statistic for comorbidities. Agreement for primary CRC and mCRC was higher using all types of diagnosis codes instead of the main one exclusively (respectively 95% vs. 53% for primary CRC and 91% vs. 24% for mCRC). Agreement was substantial (κ 0.65) for cardiovascular diseases, notably atrial fibrillation (κ 0.77) and hypertension (κ 0.68). It was moderate for psychiatric disorders (κ 0.49) and respiratory diseases (κ 0.48), although chronic obstructive pulmonary disease had a good agreement (κ 0.75). Within the class of endocrine, nutritional and metabolic diseases (κ 0.55), agreement was substantial for diabetes (κ 0.91), obesity (κ 0.82) and hypothyroidism (κ 0.72) and moderate for hypercholesterolemia (κ 0.51) and malnutrition (κ 0.42). These results are reassuring with regard to detection through PMSI of mCRC if all types of diagnosis codes are considered and useful to better choose comorbidities in elderly mCRC patients that could be well identified through hospital diagnosis codes. Copyright © 2017 Elsevier Masson SAS. All rights reserved.

Validation of the diagnosis of autism in general practitioner records

PubMed Central

Fombonne, Eric; Heavey, Lisa; Smeeth, Liam; Rodrigues, Laura C; Cook, Claire; Smith, Peter G; Meng, Linyan; Hall, Andrew J

2004-01-01

Background We report on the validity of the computerized diagnoses of autism in a large case-control study investigating the possible association between autism and the measles, mumps and rubella vaccine in the UK using the General Practitioner Research Database (GPRD). We examined anonymized copies of all relevant available clinical reports, including general practitioners' (GP) notes, consultant, speech therapy and educational psychologists reports, on 318 subjects born between 1973 and 1997 with a diagnosis of autism or a related disorder recorded in their electronic general practice record. Methods Data were abstracted to a case validation form allowing for the identification of developmental symptoms relevant to the diagnosis of pervasive developmental disorders (PDDs). Information on other background clinical and familial features was also abstracted. A subset of 50 notes was coded independently by 2 raters to derive reliability estimates for key clinical characteristics. Results For 294 subjects (92.5%) the diagnosis of PDD was confirmed after review of the records. Of these, 180 subjects (61.2%) fulfilled criteria for autistic disorder. The mean age at first recording of a PDD diagnosis in the GPRD database was 6.3 years (SD = 4.6). Consistent with previous estimates, the proportion of subjects experiencing regression in the course of their development was 19%. Inter-rater reliability for the presence of a PDD diagnosis was good (kappa = .73), and agreement on clinical features such as regression, age of parental recognition of first symptoms, language delay and presence of epilepsy was also good (kappas ranging from .56 to 1.0). Conclusions This study provides evidence that the positive predictive value of a diagnosis of autism recorded in the GPRD is high. PMID:15113435

Preimplantation genetic diagnosis: a systematic review of litigation in the face of new technology.

PubMed

Amagwula, Tochi; Chang, Peter L; Hossain, Amjad; Tyner, Joey; Rivers, Aimée L; Phelps, John Y

2012-11-01

To study legal cases against IVF facilities pertaining to preimplantation genetic diagnosis (PGD) misdiagnosis. Systematic case law review. University medical center using US legal databases. The IVF recipients using PGD services. Lawsuits pertaining to PGD against IVF facilities. Lawsuits, court rulings, damage awards, and settlements pertaining to PGD after the birth of a child with a genetic defect. Causes of action pertaining to PGD arise from negligence in performing the procedure as well as failure to properly inform patients of key information, such as inherent errors associated with the PGD process, a facility's minimal experience in performing PGD, and the option of obtaining PGD. Courts have sympathized with the financial burden involved in caring for children with disabilities. Monetary damage awards are based on the costs of caring for children with debilitating defects, including lifetime medical and custodial care. Facilities offering PGD services expose themselves to a new realm of liability in which damage awards can easily exceed the limits of a facility's insurance policy. Competent laboratory personnel and proper informed consent--with particular care to inform patients of the inherent inaccuracies of PGD--are crucial in helping deter liability. Copyright © 2012 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

Reactome graph database: Efficient access to complex pathway data

PubMed Central

Korninger, Florian; Viteri, Guilherme; Marin-Garcia, Pablo; Ping, Peipei; Wu, Guanming; Stein, Lincoln; D’Eustachio, Peter

2018-01-01

Reactome is a free, open-source, open-data, curated and peer-reviewed knowledgebase of biomolecular pathways. One of its main priorities is to provide easy and efficient access to its high quality curated data. At present, biological pathway databases typically store their contents in relational databases. This limits access efficiency because there are performance issues associated with queries traversing highly interconnected data. The same data in a graph database can be queried more efficiently. Here we present the rationale behind the adoption of a graph database (Neo4j) as well as the new ContentService (REST API) that provides access to these data. The Neo4j graph database and its query language, Cypher, provide efficient access to the complex Reactome data model, facilitating easy traversal and knowledge discovery. The adoption of this technology greatly improved query efficiency, reducing the average query time by 93%. The web service built on top of the graph database provides programmatic access to Reactome data by object oriented queries, but also supports more complex queries that take advantage of the new underlying graph-based data storage. By adopting graph database technology we are providing a high performance pathway data resource to the community. The Reactome graph database use case shows the power of NoSQL database engines for complex biological data types. PMID:29377902

Reactome graph database: Efficient access to complex pathway data.

PubMed

Fabregat, Antonio; Korninger, Florian; Viteri, Guilherme; Sidiropoulos, Konstantinos; Marin-Garcia, Pablo; Ping, Peipei; Wu, Guanming; Stein, Lincoln; D'Eustachio, Peter; Hermjakob, Henning

2018-01-01

Reactome is a free, open-source, open-data, curated and peer-reviewed knowledgebase of biomolecular pathways. One of its main priorities is to provide easy and efficient access to its high quality curated data. At present, biological pathway databases typically store their contents in relational databases. This limits access efficiency because there are performance issues associated with queries traversing highly interconnected data. The same data in a graph database can be queried more efficiently. Here we present the rationale behind the adoption of a graph database (Neo4j) as well as the new ContentService (REST API) that provides access to these data. The Neo4j graph database and its query language, Cypher, provide efficient access to the complex Reactome data model, facilitating easy traversal and knowledge discovery. The adoption of this technology greatly improved query efficiency, reducing the average query time by 93%. The web service built on top of the graph database provides programmatic access to Reactome data by object oriented queries, but also supports more complex queries that take advantage of the new underlying graph-based data storage. By adopting graph database technology we are providing a high performance pathway data resource to the community. The Reactome graph database use case shows the power of NoSQL database engines for complex biological data types.

Patient monitoring in mobile health: opportunities and challenges.

PubMed

Mohammadzadeh, Niloofar; Safdari, Reza

2014-01-01

In most countries chronic diseases lead to high health care costs and reduced productivity of people in society. The best way to reduce costs of health sector and increase the empowerment of people is prevention of chronic diseases and appropriate health activities management through monitoring of patients. To enjoy the full benefits of E-health, making use of methods and modern technologies is very important. This literature review articles were searched with keywords like Patient monitoring, Mobile Health, and Chronic Disease in Science Direct, Google Scholar and Pub Med databases without regard to the year of publications. Applying remote medical diagnosis and monitoring system based on mobile health systems can help significantly to reduce health care costs, correct performance management particularly in chronic disease management. Also some challenges are in patient monitoring in general and specific aspects like threats to confidentiality and privacy, technology acceptance in general and lack of system interoperability with electronic health records and other IT tools, decrease in face to face communication between doctor and patient, sudden interruptions of telecommunication networks, and device and sensor type in specific aspect. It is obvious identifying the opportunities and challenges of mobile technology and reducing barriers, strengthening the positive points will have a significant role in the appropriate planning and promoting the achievements of the health care systems based on mobile and helps to design a roadmap for improvement of mobile health.

Metastasis

MedlinePlus

... Trials Database Supporting Research Raising Awareness Our Blog Patient Education Pancreas News Basics of Pancreatic Cancer FAQs The ... Detection- Goggins Lab Sol Goldman Center Discussion Board Patient Education / Diagnosis Metastasis A major concern when diagnosing a ...

Clinical review: Current state and future perspectives in the diagnosis of diabetes insipidus: a clinical review.

PubMed

Fenske, Wiebke; Allolio, Bruno

2012-10-01

The differential diagnosis of diabetes insipidus (DI) is often challenging but essential, because treatment may vary substantially. This article analyzes the database and performance of currently used differential diagnostic tests for DI and discusses future perspectives for diagnostic improvement. A review of electronic and print data comprising original and review articles retrieved from the PubMed or Cochrane Library database up to January 2012 was conducted. The search term "polyuria polydipsia syndrome" was cross-referenced with underlying forms of disease and associated clinical, diagnostic, and therapeutic MeSH terms. In addition, references from review articles and textbook chapters were screened for papers containing original data. Search results were narrowed to articles containing primary data with a description of criteria for the differential diagnosis of DI. Fifteen articles on differential diagnosis of DI were identified, mainly consisting of small series of patients, and mostly covering only part of the differential diagnostic spectrum of DI. Test protocols differed, and prospective validation of diagnostic criteria was consistently missing. Inconsistent data were reported on the diagnostic superiority of direct plasma arginine vasopressin determination over the indirect water deprivation test. Both test methods revealed limitations, especially in the differentiation of disorders with a milder phenotype. The available data demonstrate limitations of current biochemical tests for the differential diagnosis of DI, potentially leading to incorrect diagnosis and treatment. The newly available assay for copeptin, the C terminus of the vasopressin precursor, holds promise for a higher diagnostic specificity and simplification of the differential diagnostic protocol in DI.

Technology in Science and Mathematics Education.

ERIC Educational Resources Information Center

Buccino, Alphonse

Provided are several perspectives on technology, addressing changes in learners related to technology, changes in contemporary life related to technology, and changes in subject areas related to technology (indicating that technology has created such new tools for inquiry as computer programming, word processing, online database searches, and…

Microcomputer Intelligence for Technical Training (MITT): The evolution of an intelligent tutoring system

NASA Technical Reports Server (NTRS)

Norton, Jeffrey E.; Wiederholt, Bradley J.; Johnson, William B.

1990-01-01

Microcomputer Intelligence for Technical Training (MITT) uses Intelligent Tutoring System (OTS) technology to deliver diagnostic training in a variety of complex technical domains. Over the past six years, MITT technology has been used to develop training systems for nuclear power plant diesel generator diagnosis, Space Shuttle fuel cell diagnosis, and message processing diagnosis for the Minuteman missile. Presented here is an overview of the MITT system, describing the evolution of the MITT software and the benefits of using the MITT system.

[The 'Beijing clinical database' on severe acute respiratory syndrome patients: its design, process, quality control and evaluation].

PubMed

2004-04-01

To develop a large database on clinical presentation, treatment and prognosis of all clinical diagnosed severe acute respiratory syndrome (SARS) cases in Beijing during the 2003 "crisis", in order to conduct further clinical studies. The database was designed by specialists, under the organization of the Beijing Commanding Center for SARS Treatment and Cure, including 686 data items in six sub-databases: primary medical-care seeking, vital signs, common symptoms and signs, treatment, laboratory and auxiliary test, and cost. All hospitals having received SARS inpatients were involved in the project. Clinical data was transferred and coded by trained doctors and data entry was carried out by trained nurses, according to a uniformed protocol. A series of procedures had been taken before the database was finally established which included programmed logic checking, digit-by-digit check on 5% random sample, data linkage for transferred cases, coding of characterized information, database structure standardization, case reviewe by computer program according to SARS Clinical Diagnosis Criteria issued by the Ministry of Health, and exclusion of unqualified patients. The database involved 2148 probable SARS cases in accordant with the clinical diagnosis criteria, including 1291 with complete records. All cases and record-complete cases showed an almost identical distribution in sex, age, occupation, residence areas and time of onset. The completion rate of data was not significantly different between the two groups except for some items on primary medical-care seeking. Specifically, the data completion rate was 73% - 100% in primary medical-care seeking, 90% in common symptoms and signs, 100% for treatment, 98% for temperature, 90% for pulse, 100% for outcomes and 98% for costs in hospital. The number of cases collected in the Beijing Clinical Database of SARS Patients was fairly complete. Cases with complete records showed that they could serve as excellent representatives of all cases. The completeness of data was quite satisfactory with primary clinical items which allowed for further clinical studies.

[Establishement for regional pelvic trauma database in Hunan Province].

PubMed

Cheng, Liang; Zhu, Yong; Long, Haitao; Yang, Junxiao; Sun, Buhua; Li, Kanghua

2017-04-28

To establish a database for pelvic trauma in Hunan Province, and to start the work of multicenter pelvic trauma registry.
 Methods: To establish the database, literatures relevant to pelvic trauma were screened, the experiences from the established trauma database in China and abroad were learned, and the actual situations for pelvic trauma rescue in Hunan Province were considered. The database for pelvic trauma was established based on the PostgreSQL and the advanced programming language Java 1.6.
 Results: The complex procedure for pelvic trauma rescue was described structurally. The contents for the database included general patient information, injurious condition, prehospital rescue, conditions in admission, treatment in hospital, status on discharge, diagnosis, classification, complication, trauma scoring and therapeutic effect. The database can be accessed through the internet by browser/servicer. The functions for the database include patient information management, data export, history query, progress report, video-image management and personal information management.
 Conclusion: The database with whole life cycle pelvic trauma is successfully established for the first time in China. It is scientific, functional, practical, and user-friendly.

Recent Advancement of the Molecular Diagnosis in Pediatric Brain Tumor.

PubMed

Bae, Jeong-Mo; Won, Jae-Kyung; Park, Sung-Hye

2018-05-01

Recent discoveries of brain tumor-related genes and fast advances in genomic testing technologies have led to the era of molecular diagnosis of brain tumor. Molecular profiling of brain tumor became the significant step in the diagnosis, the prediction of prognosis and the treatment of brain tumor. Because traditional molecular testing methods have limitations in time and cost for multiple gene tests, next-generation sequencing technologies are rapidly introduced into clinical practice. Targeted sequencing panels using these technologies have been developed for brain tumors. In this article, focused on pediatric brain tumor, key discoveries of brain tumor-related genes are reviewed and cancer panels used in the molecular profiling of brain tumor are discussed.

Recent Advancement of the Molecular Diagnosis in Pediatric Brain Tumor

PubMed Central

Bae, Jeong-Mo; Won, Jae-Kyung; Park, Sung-Hye

2018-01-01

Recent discoveries of brain tumor-related genes and fast advances in genomic testing technologies have led to the era of molecular diagnosis of brain tumor. Molecular profiling of brain tumor became the significant step in the diagnosis, the prediction of prognosis and the treatment of brain tumor. Because traditional molecular testing methods have limitations in time and cost for multiple gene tests, next-generation sequencing technologies are rapidly introduced into clinical practice. Targeted sequencing panels using these technologies have been developed for brain tumors. In this article, focused on pediatric brain tumor, key discoveries of brain tumor-related genes are reviewed and cancer panels used in the molecular profiling of brain tumor are discussed. PMID:29742887

Retinal blood vessel segmentation using fully convolutional network with transfer learning.

PubMed

Jiang, Zhexin; Zhang, Hao; Wang, Yi; Ko, Seok-Bum

2018-04-26

Since the retinal blood vessel has been acknowledged as an indispensable element in both ophthalmological and cardiovascular disease diagnosis, the accurate segmentation of the retinal vessel tree has become the prerequisite step for automated or computer-aided diagnosis systems. In this paper, a supervised method is presented based on a pre-trained fully convolutional network through transfer learning. This proposed method has simplified the typical retinal vessel segmentation problem from full-size image segmentation to regional vessel element recognition and result merging. Meanwhile, additional unsupervised image post-processing techniques are applied to this proposed method so as to refine the final result. Extensive experiments have been conducted on DRIVE, STARE, CHASE_DB1 and HRF databases, and the accuracy of the cross-database test on these four databases is state-of-the-art, which also presents the high robustness of the proposed approach. This successful result has not only contributed to the area of automated retinal blood vessel segmentation but also supports the effectiveness of transfer learning when applying deep learning technique to medical imaging. Copyright © 2018 Elsevier Ltd. All rights reserved.

The use of DRG for identifying clinical trials centers with high recruitment potential: a feasability study.

PubMed

Aegerter, Philippe; Bendersky, Noelle; Tran, Thi-Chien; Ropers, Jacques; Taright, Namik; Chatellier, Gilles

2014-01-01

Recruitment of large samples of patients is crucial for evidence level and efficacy of clinical trials (CT). Clinical Trial Recruitment Support Systems (CTRSS) used to estimate patient recruitment are generally specific to Hospital Information Systems and few were evaluated on a large number of trials. Our aim was to assess, on a large number of CT, the usefulness of commonly available data as Diagnosis Related Groups (DRG) databases in order to estimate potential recruitment. We used the DRG database of a large French multicenter medical institution (1.2 million inpatient stays and 400 new trials each year). Eligibility criteria of protocols were broken down into in atomic entities (diagnosis, procedures, treatments...) then translated into codes and operators recorded in a standardized form. A program parsed the forms and generated requests on the DRG database. A large majority of selection criteria could be coded and final estimations of number of eligible patients were close to observed ones (median difference = 25). Such a system could be part of the feasability evaluation and center selection process before the start of the clinical trial.

Investigation of an artificial intelligence technology--Model trees. Novel applications for an immediate release tablet formulation database.

PubMed

Shao, Q; Rowe, R C; York, P

2007-06-01

This study has investigated an artificial intelligence technology - model trees - as a modelling tool applied to an immediate release tablet formulation database. The modelling performance was compared with artificial neural networks that have been well established and widely applied in the pharmaceutical product formulation fields. The predictability of generated models was validated on unseen data and judged by correlation coefficient R(2). Output from the model tree analyses produced multivariate linear equations which predicted tablet tensile strength, disintegration time, and drug dissolution profiles of similar quality to neural network models. However, additional and valuable knowledge hidden in the formulation database was extracted from these equations. It is concluded that, as a transparent technology, model trees are useful tools to formulators.

Outpatient-shopping behavior and survival rates in newly diagnosed cancer patients.

PubMed

Chiou, Shang-Jyh; Wang, Shiow-Ing; Liu, Chien-Hsiang; Yaung, Chih-Liang

2012-09-01

To evaluate the appropriateness of the definition of outpatient-shopping behavior in Taiwanese patients. Linked study of 3 databases (Taiwan Cancer Registry, National Health Insurance [NHI] claim database, and death registry database). Outpatient shopping behavior was defined as making at least 4 or 5 physician visits to confirm a cancer diagnosis. We analyzed patient-related factors and the 5-year overall survival rate of the outpatient-shopping group compared with a nonshopping group. Using the household registration database and NHI database, we determined the proportion of outpatient shopping, characteristics of patients who did and did not shop for outpatient therapy, time between diagnosis and start of regular treatment, and medical service utilization in the shopping versus the nonshopping group. Patients with higher incomes were significantly more likely to shop for outpatient care. Patients with higher comorbidity scores were 1.4 times more likely to shop for outpatient care than patients with lower scores. Patients diagnosed with more advanced cancer were more likely to shop than those who were not. Patients might be more trusting of cancer diagnoses given at higher-level hospitals. The nonshopping groups had a longer duration of survival over 5 years. Health authorities should consider charging additional fees after a specific outpatient- shopping threshold is reached to reduce this behavior. The government may need to reassess the function of the medical sources network by shrinking it from the original 4 levels to 2 levels, or by enhancing the referral function among different hospital levels.

Current and emerging technologies in melanoma diagnosis: the state of the art

PubMed Central

Psaty, Estee L.; Halpern, Allan C.

2017-01-01

Relative to other specialties, dermatologists have been slow to adopt advanced technologic diagnostic aids. After all, most skin disease can be diagnosed by simple visual inspection, and the skin is readily accessible for a diagnostic biopsy. Diagnostic aids such as total body photography and dermoscopy improve the clinician's ability to diagnose melanoma beyond unaided visual inspection, however, and are now considered mainstream methods for early detection. Emerging technologies such as in vivo reflectance confocal microscopy are currently being investigated to determine their utility for noninvasive diagnosis of melanoma. This review summarizes the currently available cutaneous imaging devices and new frontiers in noninvasive diagnosis of skin disease. We anticipate that multimodal systems that combine different imaging technologies will further improve our ability to detect, at the bedside, melanoma at an earlier stage. PMID:19095152

Computer aided lung cancer diagnosis with deep learning algorithms

NASA Astrophysics Data System (ADS)

Sun, Wenqing; Zheng, Bin; Qian, Wei

2016-03-01

Deep learning is considered as a popular and powerful method in pattern recognition and classification. However, there are not many deep structured applications used in medical imaging diagnosis area, because large dataset is not always available for medical images. In this study we tested the feasibility of using deep learning algorithms for lung cancer diagnosis with the cases from Lung Image Database Consortium (LIDC) database. The nodules on each computed tomography (CT) slice were segmented according to marks provided by the radiologists. After down sampling and rotating we acquired 174412 samples with 52 by 52 pixel each and the corresponding truth files. Three deep learning algorithms were designed and implemented, including Convolutional Neural Network (CNN), Deep Belief Networks (DBNs), Stacked Denoising Autoencoder (SDAE). To compare the performance of deep learning algorithms with traditional computer aided diagnosis (CADx) system, we designed a scheme with 28 image features and support vector machine. The accuracies of CNN, DBNs, and SDAE are 0.7976, 0.8119, and 0.7929, respectively; the accuracy of our designed traditional CADx is 0.7940, which is slightly lower than CNN and DBNs. We also noticed that the mislabeled nodules using DBNs are 4% larger than using traditional CADx, this might be resulting from down sampling process lost some size information of the nodules.

Technology-enhanced caries detection and diagnosis.

PubMed

Strassler, Howard E; Sensi, Luis Guilherme

2008-10-01

The prevalence of dental caries in children and adults in the United States has been declining the past 40 years primarily because of increased use of fluoride, improved oral hygiene and better oral hygiene devices, a greater emphasis on disease prevention and control, and better access to dental care made available by the dental profession. Caries diagnosis and detection for pit-and-fissure lesions has changed dramatically in the past 25 years. Research has confirmed that the carious process is bacterially mediated and is accompanied by changes in salivary flow and pH and the intake of refined carbohydrates. In recent years a number of new technologies have become available as adjuncts to traditional methods of diagnosing carious lesions. While using these new technologies, the clinician still needs to understand the concepts of caries risk, diagnosis, detection, and assessment. Working from the evidence, dental practitioners can decide on a sound clinical diagnosis and treatment plan.

CADDIS Volume 5. Causal Databases: Home page (Duplicate?)

EPA Pesticide Factsheets

The Causal Analysis/Diagnosis Decision Information System, or CADDIS, is a website developed to help scientists and engineers in the Regions, States, and Tribes conduct causal assessments in aquatic systems.

[Status of diagnosis and treatment devices of acupuncture based on SooPAT and bibliometrics in China].

PubMed

Bai, Lin; Ren, Yulan; Guo, Taipin; Chen, Lin; Zhou, Yumei; Feng, Shuwei; Li, Ji; Liang, Fanrong

2016-11-12

To perform a bibliometrics analysis on patent literature regarding diagnosis and treatment devices of acupuncture in China, aiming to provide references for the development of diagnosis and treatment devices of acupuncture. Based on SooPAT, a patent database, the patent literature regarding diagnosis and treatment devices of acupuncture in China was collected. With bibliometrics methods, the annual distribution of type, quantity, classification and content of diagnosis and treatment devices of acupuncture were analyzed. The number of acupuncture diagnosis and treatment devices reached its peak in 2012 and 2013 in China. The A61N in patent and utility model patent were the most, which were mainly related to electrotherapy, magnetic therapy, radioactive therapy and ultrasound therapy, etc. The main content was acupuncture treatment devices and meridian treatment devices. The 24-01 in design patent was the most, involving fixation devices used by doctors, hospitals and laboratories, etc. Currently the majority of diagnosis and treatment devices of acupuncture is therapeutic apparatus, while the acupuncture diagnosis devices are needed.

Mass Detection in Mammographic Images Using Wavelet Processing and Adaptive Threshold Technique.

PubMed

Vikhe, P S; Thool, V R

2016-04-01

Detection of mass in mammogram for early diagnosis of breast cancer is a significant assignment in the reduction of the mortality rate. However, in some cases, screening of mass is difficult task for radiologist, due to variation in contrast, fuzzy edges and noisy mammograms. Masses and micro-calcifications are the distinctive signs for diagnosis of breast cancer. This paper presents, a method for mass enhancement using piecewise linear operator in combination with wavelet processing from mammographic images. The method includes, artifact suppression and pectoral muscle removal based on morphological operations. Finally, mass segmentation for detection using adaptive threshold technique is carried out to separate the mass from background. The proposed method has been tested on 130 (45 + 85) images with 90.9 and 91 % True Positive Fraction (TPF) at 2.35 and 2.1 average False Positive Per Image(FP/I) from two different databases, namely Mammographic Image Analysis Society (MIAS) and Digital Database for Screening Mammography (DDSM). The obtained results show that, the proposed technique gives improved diagnosis in the early breast cancer detection.

Blood Vessel Extraction in Color Retinal Fundus Images with Enhancement Filtering and Unsupervised Classification

PubMed Central

2017-01-01

Retinal blood vessels have a significant role in the diagnosis and treatment of various retinal diseases such as diabetic retinopathy, glaucoma, arteriosclerosis, and hypertension. For this reason, retinal vasculature extraction is important in order to help specialists for the diagnosis and treatment of systematic diseases. In this paper, a novel approach is developed to extract retinal blood vessel network. Our method comprises four stages: (1) preprocessing stage in order to prepare dataset for segmentation; (2) an enhancement procedure including Gabor, Frangi, and Gauss filters obtained separately before a top-hat transform; (3) a hard and soft clustering stage which includes K-means and Fuzzy C-means (FCM) in order to get binary vessel map; and (4) a postprocessing step which removes falsely segmented isolated regions. The method is tested on color retinal images obtained from STARE and DRIVE databases which are available online. As a result, Gabor filter followed by K-means clustering method achieves 95.94% and 95.71% of accuracy for STARE and DRIVE databases, respectively, which are acceptable for diagnosis systems. PMID:29065611

Construction of databases: advances and significance in clinical research.

PubMed

Long, Erping; Huang, Bingjie; Wang, Liming; Lin, Xiaoyu; Lin, Haotian

2015-12-01

Widely used in clinical research, the database is a new type of data management automation technology and the most efficient tool for data management. In this article, we first explain some basic concepts, such as the definition, classification, and establishment of databases. Afterward, the workflow for establishing databases, inputting data, verifying data, and managing databases is presented. Meanwhile, by discussing the application of databases in clinical research, we illuminate the important role of databases in clinical research practice. Lastly, we introduce the reanalysis of randomized controlled trials (RCTs) and cloud computing techniques, showing the most recent advancements of databases in clinical research.

Inorganic Crystal Structure Database (ICSD)

National Institute of Standards and Technology Data Gateway

SRD 84 FIZ/NIST Inorganic Crystal Structure Database (ICSD) (PC database for purchase)   The Inorganic Crystal Structure Database (ICSD) is produced cooperatively by the Fachinformationszentrum Karlsruhe(FIZ) and the National Institute of Standards and Technology (NIST). The ICSD is a comprehensive collection of crystal structure data of inorganic compounds containing more than 140,000 entries and covering the literature from 1915 to the present.

Satellite Communications Technology Database. Part 2

NASA Technical Reports Server (NTRS)

2001-01-01

The Satellite Communications Technology Database is a compilation of data on state-of-the-art Ka-band technologies current as of January 2000. Most U.S. organizations have not published much of their Ka-band technology data, and so the great majority of this data is drawn largely from Japanese, European, and Canadian publications and Web sites. The data covers antennas, high power amplifiers, low noise amplifiers, MMIC devices, microwave/IF switch matrices, SAW devices, ASIC devices, power and data storage. The data herein is raw, and is often presented simply as the download of a table or figure from a site, showing specified technical characteristics, with no further explanation.

New generic indexing technology

NASA Technical Reports Server (NTRS)

Freeston, Michael

1996-01-01

There has been no fundamental change in the dynamic indexing methods supporting database systems since the invention of the B-tree twenty-five years ago. And yet the whole classical approach to dynamic database indexing has long since become inappropriate and increasingly inadequate. We are moving rapidly from the conventional one-dimensional world of fixed-structure text and numbers to a multi-dimensional world of variable structures, objects and images, in space and time. But, even before leaving the confines of conventional database indexing, the situation is highly unsatisfactory. In fact, our research has led us to question the basic assumptions of conventional database indexing. We have spent the past ten years studying the properties of multi-dimensional indexing methods, and in this paper we draw the strands of a number of developments together - some quite old, some very new, to show how we now have the basis for a new generic indexing technology for the next generation of database systems.

Determinants of Progression to AIDS and Death Following HIV Diagnosis: A Retrospective Cohort Study in Wuhan, China

PubMed Central

Jiang, Hongbo; Xie, Nianhua; Cao, Beibei; Tan, Li; Fan, Yunzhou; Zhang, Fan; Yao, Zhongzhao; Liu, Li; Nie, Shaofa

2013-01-01

Objective To identify determinants associated with disease progression and death following human immunodeficiency virus (HIV) diagnosis. Methods Disease progression data from the diagnosis of HIV infection or acquiring immunodeficiency syndrome (AIDS) to February 29, 2012 were retrospectively collected from the national surveillance system databases and the national treatment database in Wuhan, China. Kaplan-Meier method, Logistic regression and Cox proportional hazards model were applied to identify the related factors of progression to AIDS or death following HIV diagnosis. Results By the end of February 2012, 181 of 691 HIV infectors developed to AIDS, and 129 of 470 AIDS patients died among whom 289 cases received concurrent HIV/AIDS diagnosis. Compared with men infected through homosexual behavior, injection drug users possessed sharply decreased hazard ratio (HR) for progression to AIDS following HIV diagnosis [HR = 0.31, 95% confidence interval (CI), 0.18–0.54, P = 4.01×10−5]. HIV infectors at least 60 years presented 1.15-fold (HR = 2.15, 95% CI, 1.15–4.03, P = 0.017) increased risk to develop AIDS when compared with those aged 17–29 years. Similarly, AIDS patients with diagnosis ages between 50 and 59 years were at a 1.60-fold higher risk of death (HR = 2.60, 95% CI, 1.18–5.72, P = 0.017) compared to those aged 19–29 years. AIDS patients with more CD4+ T-cells within 6 months at diagnosis (cell/µL) presented lower risk of death (HR = 0.29 for 50- vs <50, 95% CI, 0.15–0.59, P = 0.001). The highly active antiretroviral therapy (HAART) delayed progression to AIDS from HIV diagnosis (HR = 0.15, 95% CI, 0.07–0.34, P = 6.46×10−6) and reduced the risk of death after AIDS diagnosis (HR = 0.02, 95% CI, 0.01–0.04, P = 7.25×10−25). Conclusions Progression to AIDS and death following HIV diagnosis differed in age at diagnosis, transmission categories, CD4+ T-cell counts and HAART. Effective interventions should target those at higher risk for morbidity or mortality, ensuring early diagnosis and timely treatment to slow down the disease progression. PMID:24376638

Determinants of progression to AIDS and death following HIV diagnosis: a retrospective cohort study in Wuhan, China.

PubMed

Jiang, Hongbo; Xie, Nianhua; Cao, Beibei; Tan, Li; Fan, Yunzhou; Zhang, Fan; Yao, Zhongzhao; Liu, Li; Nie, Shaofa

2013-01-01

To identify determinants associated with disease progression and death following human immunodeficiency virus (HIV) diagnosis. Disease progression data from the diagnosis of HIV infection or acquiring immunodeficiency syndrome (AIDS) to February 29, 2012 were retrospectively collected from the national surveillance system databases and the national treatment database in Wuhan, China. Kaplan-Meier method, Logistic regression and Cox proportional hazards model were applied to identify the related factors of progression to AIDS or death following HIV diagnosis. By the end of February 2012, 181 of 691 HIV infectors developed to AIDS, and 129 of 470 AIDS patients died among whom 289 cases received concurrent HIV/AIDS diagnosis. Compared with men infected through homosexual behavior, injection drug users possessed sharply decreased hazard ratio (HR) for progression to AIDS following HIV diagnosis [HR = 0.31, 95% confidence interval (CI), 0.18-0.54, P = 4.01×10(-5)]. HIV infectors at least 60 years presented 1.15-fold (HR = 2.15, 95% CI, 1.15-4.03, P = 0.017) increased risk to develop AIDS when compared with those aged 17-29 years. Similarly, AIDS patients with diagnosis ages between 50 and 59 years were at a 1.60-fold higher risk of death (HR = 2.60, 95% CI, 1.18-5.72, P = 0.017) compared to those aged 19-29 years. AIDS patients with more CD4(+) T-cells within 6 months at diagnosis (cell/µL) presented lower risk of death (HR = 0.29 for 50- vs <50, 95% CI, 0.15-0.59, P = 0.001). The highly active antiretroviral therapy (HAART) delayed progression to AIDS from HIV diagnosis (HR = 0.15, 95% CI, 0.07-0.34, P = 6.46×10(-6)) and reduced the risk of death after AIDS diagnosis (HR = 0.02, 95% CI, 0.01-0.04, P = 7.25×10(-25)). Progression to AIDS and death following HIV diagnosis differed in age at diagnosis, transmission categories, CD4(+) T-cell counts and HAART. Effective interventions should target those at higher risk for morbidity or mortality, ensuring early diagnosis and timely treatment to slow down the disease progression.

Organizing a breast cancer database: data management.

PubMed

Yi, Min; Hunt, Kelly K

2016-06-01

Developing and organizing a breast cancer database can provide data and serve as valuable research tools for those interested in the etiology, diagnosis, and treatment of cancer. Depending on the research setting, the quality of the data can be a major issue. Assuring that the data collection process does not contribute inaccuracies can help to assure the overall quality of subsequent analyses. Data management is work that involves the planning, development, implementation, and administration of systems for the acquisition, storage, and retrieval of data while protecting it by implementing high security levels. A properly designed database provides you with access to up-to-date, accurate information. Database design is an important component of application design. If you take the time to design your databases properly, you'll be rewarded with a solid application foundation on which you can build the rest of your application.

Some Reliability Issues in Very Large Databases.

ERIC Educational Resources Information Center

Lynch, Clifford A.

1988-01-01

Describes the unique reliability problems of very large databases that necessitate specialized techniques for hardware problem management. The discussion covers the use of controlled partial redundancy to improve reliability, issues in operating systems and database management systems design, and the impact of disk technology on very large…

Library Instruction and Online Database Searching.

ERIC Educational Resources Information Center

Mercado, Heidi

1999-01-01

Reviews changes in online database searching in academic libraries. Topics include librarians conducting all searches; the advent of end-user searching and the need for user instruction; compact disk technology; online public catalogs; the Internet; full text databases; electronic information literacy; user education and the remote library user;…

Content Independence in Multimedia Databases.

ERIC Educational Resources Information Center

de Vries, Arjen P.

2001-01-01

Investigates the role of data management in multimedia digital libraries, and its implications for the design of database management systems. Introduces the notions of content abstraction and content independence. Proposes a blueprint of a new class of database technology, which supports the basic functionality for the management of both content…

EPAUS9R - An Energy Systems Database for use with the Market Allocation (MARKAL) Model

EPA Pesticide Factsheets

EPA’s MARKAL energy system databases estimate future-year technology dispersals and associated emissions. These databases are valuable tools for exploring a variety of future scenarios for the U.S. energy-production systems that can impact climate change c

Laboratory diagnosis of tuberculosis: Advances in technology and drug susceptibility testing.

PubMed

Oommen, Seema; Banaji, Nandita

2017-01-01

There have been rapid technological advances in the detection of Mycobacterium tuberculosis and its drug susceptibility in clinical samples. These include advances in microscopic examination, in vitro culture and application of molecular techniques. The World Health Organization (WHO) has played a large role in evaluating these technologies for their efficacy and feasibility, especially in the developing countries. Amongst these, the Revised National Tuberculosis Control Programme (RNTCP), through its national network of designated microscopy centres and intermediate reference laboratories, has adopted certain technologies that are currently implemented in India. Advances in microscopy technology include fluorescent microscopy using light-emitting diode source, sodium hypochlorite microscopy and vital fluorescent staining of sputum smears. Automation of in vitro culture has markedly reduced the turnaround time (TAT), even in smear-negative samples, and permits simultaneous detection of resistant mutants. Molecular detection of drug resistance has further reduced the TAT, and the cartridge-based nucleic acid amplification test with its performance convenience and rapid results, appears poised to become the future of tuberculosis (TB) diagnosis in all settings, provided the cost of testing is reduced especially for use in private diagnostic settings. This article reviews technologies currently available for the diagnosis of TB, keeping in mind the WHO recommendations and the RNTCP practices. This is a thematic synthesis of data available on diagnosis in literature, preserving the conclusions of the primary studies.

INDIAM--an e-learning system for the interpretation of mammograms.

PubMed

Guliato, Denise; Bôaventura, Ricardo S; Maia, Marcelo A; Rangayyan, Rangaraj M; Simedo, Mariângela S; Macedo, Túlio A A

2009-08-01

We propose the design of a teaching system named Interpretation and Diagnosis of Mammograms (INDIAM) for training students in the interpretation of mammograms and diagnosis of breast cancer. The proposed system integrates an illustrated tutorial on radiology of the breast, that is, mammography, which uses education techniques to guide the user (doctors, students, or researchers) through various concepts related to the diagnosis of breast cancer. The user can obtain informative text about specific subjects, access a library of bibliographic references, and retrieve cases from a mammographic database that are similar to a query case on hand. The information of each case stored in the mammographic database includes the radiological findings, the clinical history, the lifestyle of the patient, and complementary exams. The breast cancer tutorial is linked to a module that simulates the analysis and diagnosis of a mammogram. The tutorial incorporates tools for helping the user to evaluate his or her knowledge about a specific subject by using the education system or by simulating a diagnosis with appropriate feedback in case of error. The system also makes available digital image processing tools that allow the user to draw the contour of a lesion, the contour of the breast, or identify a cluster of calcifications in a given mammogram. The contours provided by the user are submitted to the system for evaluation. The teaching system is integrated with AMDI-An Indexed Atlas of Digital Mammograms-that includes case studies, e-learning, and research systems. All the resources are accessible via the Web.

Canine atopic dermatitis: validation of recorded diagnosis against practice records in 335 insured Swedish dogs

PubMed Central

Nødtvedt, Ane; Bergvall, Kerstin; Emanuelson, Ulf; Egenvall, Agneta

2006-01-01

A cross-sectional study of insured Swedish dogs with a recorded diagnosis of canine atopic dermatitis (CAD) was performed. In order to validate the correctness of this specific diagnosis in the insurance database, medical records were requested by mail from the attending veterinarians. All dogs with a reimbursed claim for the disease during 2002 were included in the original study sample (n = 373). Medical records were available for 335 individuals (response rate: 89.8%). By scrutinizing the submitted records it was determined that all dogs had been treated for dermatologic disease, and that 327 (97.6%) could be considered to have some allergic skin disease. However, as information regarding dietary trial testing was missing in many dogs the number that were truly atopic could not be determined. The clinical presentation and nature of test diet for dogs with or without response to dietary trial testing was compared for a subset of 109 individuals that had undergone such testing. The only significant difference between these two groups was that the proportion of dogs with reported gastrointestinal signs was higher in the group that subsequently responded to a diet trial. In conclusion, the agreement between the recorded diagnosis in the insurance database and the clinical manifestations recorded in the submitted medical records was considered acceptable. The concern was raised that many attending veterinarians did not exclude cutaneous adverse food reactions before making the diagnosis of CAD. PMID:16987404

Novel Prostate Cancer Pathway Modeling using Boolean Implication

DTIC Science & Technology

2012-09-01

cause of cancer deaths in men. Diagnosis and pathogenesis of this disease is poorly understood. Prostate specific antigen (PSA) test is still the... specific database, I combined 14 different datasets (global prostate cancer database, total n=891) that are in Affymetrix U133A (n=456), U133A 2.0...immunohistochemistry and flow cytometry are limited by the availability of antigen - specific monoclonal antibodies and by the small number of parallel

Patents related to the treatment and diagnosis of bruxism.

PubMed

Felicíssimo, Kenya; Quintella, Cristina; Stuginski-Barbosa, Juliana; Salles, Cristina; Rangel, Flora; Barreto, Leandro

2018-06-06

Bruxism is among the most chronic dental problems worldwide, and its perception may increase indicatively the condition of people's health, avoiding future health problems. Technologic solutions have improved considerably due to new diagnostic and treatment technologies and their automation. This review aims to assess therapeutic methods for bruxism through analysis of patent applications spanning recent decades. Areas covered: Patent families of bruxism, and products available on the market. Data were obtained through Questel Orbit from the European Patent Office on a worldwide basis using Cooperative Patent Classification (CPC), analyzing 134 patent families. The products on the market were mapped and classified as used for diagnosis, treatment or both. Expert opinion: This technological prospect has shown that the technological field of bruxism is growing toward smaller, automated devices; there is still no predominant owner of the technologies. Products are expected to provide home use with a high degree of reliability and specificity, using the Internet of Things (telemedicine associated with industry 4.0) and enabling real-time diagnosis.

Rapid and accurate intraoperative pathological diagnosis by artificial intelligence with deep learning technology.

PubMed

Zhang, Jing; Song, Yanlin; Xia, Fan; Zhu, Chenjing; Zhang, Yingying; Song, Wenpeng; Xu, Jianguo; Ma, Xuelei

2017-09-01

Frozen section is widely used for intraoperative pathological diagnosis (IOPD), which is essential for intraoperative decision making. However, frozen section suffers from some drawbacks, such as time consuming and high misdiagnosis rate. Recently, artificial intelligence (AI) with deep learning technology has shown bright future in medicine. We hypothesize that AI with deep learning technology could help IOPD, with a computer trained by a dataset of intraoperative lesion images. Evidences supporting our hypothesis included the successful use of AI with deep learning technology in diagnosing skin cancer, and the developed method of deep-learning algorithm. Large size of the training dataset is critical to increase the diagnostic accuracy. The performance of the trained machine could be tested by new images before clinical use. Real-time diagnosis, easy to use and potential high accuracy were the advantages of AI for IOPD. In sum, AI with deep learning technology is a promising method to help rapid and accurate IOPD. Copyright © 2017 Elsevier Ltd. All rights reserved.

CADDIS Volume 5. Causal Databases: Interactive Conceptual Diagrams (ICDs) User Guide

EPA Pesticide Factsheets

The Causal Analysis/Diagnosis Decision Information System, or CADDIS, is a website developed to help scientists and engineers in the Regions, States, and Tribes conduct causal assessments in aquatic systems.

Analysis of Diagnoses Associated with Multiple Sclerosis-Related In-Hospital Mortality Using the Premier Hospital Database.

PubMed

Ernst, Frank R; Pocoski, Jennifer; Cutter, Gary; Kaufman, David W; Pleimes, Dirk

2016-01-01

We sought to compare mortality rates and related diagnoses in hospitalized patients with multiple sclerosis (MS), those with diabetes mellitus (DM), and the general hospitalized population (GHP). Patients who died between 2007 and 2011 were identified in the US hospital-based Premier Healthcare Database. Demographic information was collected, mortality rates calculated, and principal diagnoses categorized. Of 55,152 unique patients with MS identified, 1518 died. Mean age at death was 10 years younger for the MS group (63.4 years) than for the DM (73.3 years) and GHP (73.1 years) groups. Age-adjusted mortality rates, based on the 2000 US Standard Million Population, were 1077, 1248, and 1133 per 100,000, respectively. Infection was the most common principal diagnosis at the hospital stay during which the patient died in the MS cohort (43.1% vs. 26.3% and 24.0% in the DM and GHP groups, respectively). Other common principal diagnoses in the MS group included pulmonary (17.5%) and cardiovascular (12.1%) disease. Septicemia/sepsis/septic shock was a secondary diagnosis for 50.7% of patients with MS versus 36.0% and 31.0% of patients in the DM and GHP cohorts, respectively. Patients with MS had a shorter life span than patients with DM or the GHP and were more likely to have a principal diagnosis of infection at their final hospital stay. However, the database was limited to codes recorded in the hospital; diagnoses received outside the hospital were not captured.

Increased registration of hypertension and cancer diagnoses after the introduction of a new reimbursement system.

PubMed

Hjerpe, Per; Boström, Kristina Bengtsson; Lindblad, Ulf; Merlo, Juan

2012-12-01

To investigate the impact on ICD coding behaviour of a new case-mix reimbursement system based on coded patient diagnoses. The main hypothesis was that after the introduction of the new system the coding of chronic diseases like hypertension and cancer would increase and the variance in propensity for coding would decrease on both physician and health care centre (HCC) levels. Cross-sectional multilevel logistic regression analyses were performed in periods covering the time before and after the introduction of the new reimbursement system. Skaraborg primary care, Sweden. All patients (n = 76 546 to 79 826) 50 years of age and older visiting 468 to 627 physicians at the 22 public HCCs in five consecutive time periods of one year each. Registered codes for hypertension and cancer diseases in Skaraborg primary care database (SPCD). After the introduction of the new reimbursement system the adjusted prevalence of hypertension and cancer in SPCD increased from 17.4% to 32.2% and from 0.79% to 2.32%, respectively, probably partly due to an increased diagnosis coding of indirect patient contacts. The total variance in the propensity for coding declined simultaneously at the physician level for both diagnosis groups. Changes in the healthcare reimbursement system may directly influence the contents of a research database that retrieves data from clinical practice. This should be taken into account when using such a database for research purposes, and the data should be validated for each diagnosis.

An Animated Introduction to Relational Databases for Many Majors

ERIC Educational Resources Information Center

Dietrich, Suzanne W.; Goelman, Don; Borror, Connie M.; Crook, Sharon M.

2015-01-01

Database technology affects many disciplines beyond computer science and business. This paper describes two animations developed with images and color that visually and dynamically introduce fundamental relational database concepts and querying to students of many majors. The goal is for educators in diverse academic disciplines to incorporate the…

Market Pressure and Government Intervention in the Administration and Development of Molecular Databases.

ERIC Educational Resources Information Center

Sillince, J. A. A.; Sillince, M.

1993-01-01

Discusses molecular databases and the role that government and private companies play in their administration and development. Highlights include copyright and patent issues relating to public databases and the information contained in them; data quality; data structures and technological questions; the international organization of molecular…

Computer Security Products Technology Overview

DTIC Science & Technology

1988-10-01

13 3. DATABASE MANAGEMENT SYSTEMS ................................... 15 Definition...this paper addresses fall into the areas of multi-user hosts, database management systems (DBMS), workstations, networks, guards and gateways, and...provide a portion of that protection, for example, a password scheme, a file protection mechanism, a secure database management system, or even a

Database Software Selection for the Egyptian National STI Network.

ERIC Educational Resources Information Center

Slamecka, Vladimir

The evaluation and selection of information/data management system software for the Egyptian National Scientific and Technical (STI) Network are described. An overview of the state-of-the-art of database technology elaborates on the differences between information retrieval and database management systems (DBMS). The desirable characteristics of…

76 FR 6789 - Unlicensed Operation in the TV Broadcast Bands

Federal Register 2010, 2011, 2012, 2013, 2014

2011-02-08

...., Spectrum Bridge Inc., Telcordia Technologies, and WSdb LLC--as TV bands device database administrators. The TV bands databases will be used by fixed and personal portable unlicensed devices to identify unused... administrators to develop the databases that are necessary to enable the introduction of this new class of...

Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE) for the early diagnosis of dementia across a variety of healthcare settings.

PubMed

Harrison, Jennifer K; Stott, David J; McShane, Rupert; Noel-Storr, Anna H; Swann-Price, Rhiannon S; Quinn, Terry J

2016-11-21

The Informant Questionnaire for Cognitive Decline in the Elderly (IQCODE) is a structured interview based on informant responses that is used to assess for possible dementia. IQCODE has been used for retrospective or contemporaneous assessment of cognitive decline. There is considerable interest in tests that may identify those at future risk of developing dementia. Assessing a population free of dementia for the prospective development of dementia is an approach often used in studies of dementia biomarkers. In theory, questionnaire-based assessments, such as IQCODE, could be used in a similar way, assessing for dementia that is diagnosed on a later (delayed) assessment. To determine the diagnostic accuracy of IQCODE in a population free from dementia for the delayed diagnosis of dementia (test accuracy with delayed verification study design). We searched these sources on 16 January 2016: ALOIS (Cochrane Dementia and Cognitive Improvement Group), MEDLINE Ovid SP, Embase Ovid SP, PsycINFO Ovid SP, BIOSIS Previews on Thomson Reuters Web of Science, Web of Science Core Collection (includes Conference Proceedings Citation Index) on Thomson Reuters Web of Science, CINAHL EBSCOhost, and LILACS BIREME. We also searched sources specific to diagnostic test accuracy: MEDION (Universities of Maastricht and Leuven); DARE (Database of Abstracts of Reviews of Effects, in the Cochrane Library); HTA Database (Health Technology Assessment Database, in the Cochrane Library), and ARIF (Birmingham University). We checked reference lists of included studies and reviews, used searches of included studies in PubMed to track related articles, and contacted research groups conducting work on IQCODE for dementia diagnosis to try to find additional studies. We developed a sensitive search strategy; search terms were designed to cover key concepts using several different approaches run in parallel, and included terms relating to cognitive tests, cognitive screening, and dementia. We used standardised database subject headings, such as MeSH terms (in MEDLINE) and other standardised headings (controlled vocabulary) in other databases, as appropriate. We selected studies that included a population free from dementia at baseline, who were assessed with the IQCODE and subsequently assessed for the development of dementia over time. The implication was that at the time of testing, the individual had a cognitive problem sufficient to result in an abnormal IQCODE score (defined by the study authors), but not yet meeting dementia diagnostic criteria. We screened all titles generated by the electronic database searches, and reviewed abstracts of all potentially relevant studies. Two assessors independently checked the full papers for eligibility and extracted data. We determined quality assessment (risk of bias and applicability) using the QUADAS-2 tool, and reported quality using the STARDdem tool. From 85 papers describing IQCODE, we included three papers, representing data from 626 individuals. Of this total, 22% (N = 135/626) were excluded because of prevalent dementia. There was substantial attrition; 47% (N = 295) of the study population received reference standard assessment at first follow-up (three to six months) and 28% (N = 174) received reference standard assessment at final follow-up (one to three years). Prevalence of dementia ranged from 12% to 26% at first follow-up and 16% to 35% at final follow-up.The three studies were considered to be too heterogenous to combine, so we did not perform meta-analyses to describe summary estimates of interest. Included patients were poststroke (two papers) and hip fracture (one paper). The IQCODE was used at three thresholds of positivity (higher than 3.0, higher than 3.12 and higher than 3.3) to predict those at risk of a future diagnosis of dementia. Using a cut-off of 3.0, IQCODE had a sensitivity of 0.75 (95%CI 0.51 to 0.91) and a specificity of 0.46 (95%CI 0.34 to 0.59) at one year following stroke. Using a cut-off of 3.12, the IQCODE had a sensitivity of 0.80 (95%CI 0.44 to 0.97) and specificity of 0.53 (95C%CI 0.41 to 0.65) for the clinical diagnosis of dementia at six months after hip fracture. Using a cut-off of 3.3, the IQCODE had a sensitivity of 0.84 (95%CI 0.68 to 0.94) and a specificity of 0.87 (95%CI 0.76 to 0.94) for the clinical diagnosis of dementia at one year after stroke.In generaI, the IQCODE was sensitive for identification of those who would develop dementia, but lacked specificity. Methods for both excluding prevalent dementia at baseline and assessing for the development of dementia were varied, and had the potential to introduce bias. Included studies were heterogenous, recruited from specialist settings, and had potential biases. The studies identified did not allow us to make specific recommendations on the use of the IQCODE for the future diagnosis of dementia in clinical practice. The included studies highlighted the challenges of delayed verification dementia research, with issues around prevalent dementia assessment, loss to follow-up over time, and test non-completion potentially limiting the studies. Future research should recognise these issues and have explicit protocols for dealing with them.

Monitoring of Overhead Transmission Lines: A Review from the Perspective of Contactless Technologies

NASA Astrophysics Data System (ADS)

Khawaja, Arsalan Habib; Huang, Qi; Khan, Zeashan Hameed

2017-12-01

This paper describes a comprehensive review of non-contact technologies for overhead power transmission lines. Due to ever increasing emphasis on reducing accidents and speeding up diagnosis for automatically controlled grids, real time remote sensing and actuation is the new horizon for smart grid implementation. The technology overview with emphasis on the practical implementation of advanced non-contact technologies is discussed in this paper while considering optimization of the high voltage transmission lines parameters. In case of fault, the voltage and the current exceed limits of operation and hence real time reporting for control and diagnosis is a critical requirement. This paper aims to form a strong foundation for control and diagnosis of future power distribution systems so that a practitioner or researcher can make choices for a workable solution in smart grid implementation based on non-contact sensing.

MicroRNA in Prostate Cancer Racial Disparities and Aggressiveness

DTIC Science & Technology

2016-10-01

funded study and from the current protocol) who did not have extensive disease at diagnosis for PSA outcomes. Mean follow-up time is currently 58...months. Follow-up of PSA test results through medical records and Caisis database have just been updated, and a linkage with Metropolitan Detroit SEER...the cohort (from the previously funded study and from the current protocol) who did not have extensive disease at diagnosis for PSA outcomes. Mean

Matrix Tests as a Means of the Students' Level of Logical Thinking Diagnosis

ERIC Educational Resources Information Center

Roman, Yavich; Gein, Alexander; Gerkerova, Alexandra

2017-01-01

Nowadays pedagogical testing technology has become the basic tool for diagnosis and assessment of the level of students' mastery of learning material. Primarily they allow testing the acquired knowledge and skills in their use as a technology of the definite types of problems solution. Thus, the level of logical reasoning development plays a…

JPEG2000 and dissemination of cultural heritage over the Internet.

PubMed

Politou, Eugenia A; Pavlidis, George P; Chamzas, Christodoulos

2004-03-01

By applying the latest technologies in image compression for managing the storage of massive image data within cultural heritage databases and by exploiting the universality of the Internet we are now able not only to effectively digitize, record and preserve, but also to promote the dissemination of cultural heritage. In this work we present an application of the latest image compression standard JPEG2000 in managing and browsing image databases, focusing on the image transmission aspect rather than database management and indexing. We combine the technologies of JPEG2000 image compression with client-server socket connections and client browser plug-in, as to provide with an all-in-one package for remote browsing of JPEG2000 compressed image databases, suitable for the effective dissemination of cultural heritage.

Research of Litchi Diseases Diagnosis Expertsystem Based on Rbr and Cbr

NASA Astrophysics Data System (ADS)

Xu, Bing; Liu, Liqun

To conquer the bottleneck problems existing in the traditional rule-based reasoning diseases diagnosis system, such as low reasoning efficiency and lack of flexibility, etc.. It researched the integrated case-based reasoning (CBR) and rule-based reasoning (RBR) technology, and put forward a litchi diseases diagnosis expert system (LDDES) with integrated reasoning method. The method use data mining and knowledge obtaining technology to establish knowledge base and case library. It adopt rules to instruct the retrieval and matching for CBR, and use association rule and decision trees algorithm to calculate case similarity.The experiment shows that the method can increase the system's flexibility and reasoning ability, and improve the accuracy of litchi diseases diagnosis.

JNDMS Task Authorization 2 Report

DTIC Science & Technology

2013-10-01

uses Barnyard to store alarms from all DREnet Snort sensors in a MySQL database. Barnyard is an open source tool designed to work with Snort to take...Technology ITI Information Technology Infrastructure J2EE Java 2 Enterprise Edition JAR Java Archive. This is an archive file format defined by Java ...standards. JDBC Java Database Connectivity JDW JNDMS Data Warehouse JNDMS Joint Network and Defence Management System JNDMS Joint Network Defence and

New and emerging technologies for the diagnosis and monitoring of chronic obstructive pulmonary disease: A horizon scanning review.

PubMed

Dixon, Louise C; Ward, Derek J; Smith, Joanna; Holmes, Steve; Mahadeva, Ravi

2016-03-11

There is a need for straightforward, novel diagnostic and monitoring technologies to enable the early diagnosis of COPD and its differentiation from other respiratory diseases, to establish the cause of acute exacerbations and to monitor disease progression. We sought to establish whether technologies already in development could potentially address these needs. A systematic horizon scanning review was undertaken to identify technologies in development from a wide range of commercial and non-commercial sources. Technologies were restricted to those likely to be available within 18 months, and then evaluated for degree of innovation, potential for impact, acceptability to users and likelihood of adoption by clinicians and patients with COPD. Eighty technologies were identified, of which 25 were considered particularly promising. Biomarker tests, particularly those using sputum or saliva samples and/or available at the point of care, were positively evaluated, with many offering novel approaches to early diagnosis and to determining the cause for acute exacerbations. Several wrist-worn devices and smartphone-based spirometers offering the facility for self-monitoring and early detection of exacerbations were also considered promising. The most promising identified technologies have the potential to improve COPD care and patient outcomes. Further research and evaluation activities should be focused on these technologies. © The Author(s) 2016.

Twinkle artefact in the ultrasound diagnosis of superficial epidermoid cysts

PubMed Central

Clarke, Richard; Suresh, Priya; Thomas, Rose

2016-01-01

Aim The aim of the study was to evaluate whether the twinkle artefact is a valuable feature in the sonographic diagnosis of superficial epidermoid cysts. Materials and methods A retrospective search was undertaken of our institution’s Radiology Information System and pathology database to identify cases of superficial masses showing the twinkle artefact that proceeded to surgical excision. Results Eighteen superficial masses demonstrating the twinkle artefact were identified that were submitted for pathological analysis. Of these, 17 were confirmed to represent epidermoid cysts and only 1 case had an alternative diagnosis (proliferating trichilemmal cyst). Conclusion The presence of the twinkle artefact appears to be a specific and valuable ancillary sonographic feature for the diagnosis of superficial epidermoid cysts. PMID:27867407

Verification of Heart Disease: Implications for a New Heart Transplantation Allocation System.

PubMed

Raeisi-Giglou, Pejman; Rodriguez, E Rene; Blackstone, Eugene H; Tan, Carmela D; Hsich, Eileen M

2017-12-01

This study sought to determine the accuracy of the pre-transplantation clinical diagnosis of heart disease in the United Network for Organ Sharing (UNOS) database. Because survival on the heart transplantation waitlist depends on underlying heart disease, a new allocation system will include the type of heart disease. Accuracy of the pre-transplantation clinical diagnosis and the effect of misclassification are unknown. We included all adults who received transplants at our center between January 2009 to December 2015. We compared the pre-transplantation clinical diagnosis at listing with pathology of the explanted heart and determined the potential effect of misclassification with the proposed allocation system. A total of 334 patients had the following clinical cardiac diagnoses at listing: 148 had dilated cardiomyopathy, 19 had restrictive cardiomyopathy, 103 had ischemic cardiomyopathy, 24 had hypertrophic cardiomyopathy, 11 had valvular disease, 16 had congenital heart disease (CHD), and 13 patients had a diagnosis of "other." Pathology of the explanted hearts revealed 82% concordance and 18% discordance (10% coding errors and 8% incorrect diagnosis). The most common incorrect diagnoses were sarcoidosis (66%), arrhythmogenic right ventricular dysplasia (60%), and other causes of predominately right-sided heart failure (33%). Among the misclassified diagnoses, 40% were listed as UNOS status 2, 8% remained at status 2 at transplantation, and only sarcoidosis and CHD were potentially at a disadvantage with the new allocation. There is high concordance between clinical and pathologic diagnosis, except for sarcoidosis and genetic diseases. Few misclassifications result in disadvantages to patients based on the new allocation system, but rare diseases like sarcoidosis remain problematic. To improve the UNOS database and enhance outcome research, pathology of the explanted hearts should be required post-transplantation. Copyright © 2017 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Coding of Barrett's oesophagus with high-grade dysplasia in national administrative databases: a population-based cohort study.

PubMed

Chadwick, Georgina; Varagunam, Mira; Brand, Christian; Riley, Stuart A; Maynard, Nick; Crosby, Tom; Michalowski, Julie; Cromwell, David A

2017-06-09

The International Classification of Diseases 10th Revision (ICD-10) system used in the English hospital administrative database (Hospital Episode Statistics (HES)) does not contain a specific code for oesophageal high-grade dysplasia (HGD). The aim of this paper was to examine how patients with HGD were coded in HES and whether it was done consistently. National population-based cohort study of patients with newly diagnosed with HGD in England. The study used data collected prospectively as part of the National Oesophago-Gastric Cancer Audit (NOGCA). These records were linked to HES to investigate the pattern of ICD-10 codes recorded for these patients at the time of diagnosis. All patients with a new diagnosis of HGD between 1 April 2013 and 31 March 2014 in England, who had data submitted to the NOGCA. The main outcome assessed was the pattern of primary and secondary ICD-10 diagnostic codes recorded in the HES records at endoscopy at the time of diagnosis of HGD. Among 452 patients with a new diagnosis of HGD between 1 April 2013 and 31 March 2014, Barrett's oesophagus was the only condition coded in 200 (44.2%) HES records. Records for 59 patients (13.1%) contained no oesophageal conditions. The remaining 193 patients had various diagnostic codes recorded, 93 included a diagnosis of Barrett's oesophagus and 57 included a diagnosis of oesophageal/gastric cardia cancer. HES is not suitable to support national studies looking at the management of HGD. This is one reason for the UK to adopt an extended ICD system (akin to ICD-10-CM). © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

CADDIS Volume 5. Causal Databases: Interactive Conceptual Diagrams (ICDs) Quick Start Instructions

EPA Pesticide Factsheets

The Causal Analysis/Diagnosis Decision Information System, or CADDIS, is a website developed to help scientists and engineers in the Regions, States, and Tribes conduct causal assessments in aquatic systems.

Designing and recruiting to UK autism spectrum disorder research databases: do they include representative children with valid ASD diagnoses?

PubMed

Warnell, F; George, B; McConachie, H; Johnson, M; Hardy, R; Parr, J R

2015-09-04

(1) Describe how the Autism Spectrum Database-UK (ASD-UK) was established; (2) investigate the representativeness of the first 1000 children and families who participated, compared to those who chose not to; (3) investigate the reliability of the parent-reported Autism Spectrum Disorder (ASD) diagnoses, and present evidence about the validity of diagnoses, that is, whether children recruited actually have an ASD; (4) present evidence about the representativeness of the ASD-UK children and families, by comparing their characteristics with the first 1000 children and families from the regional Database of children with ASD living in the North East (Dasl(n)e), and children and families identified from epidemiological studies. Recruitment through a network of 50 UK child health teams and self-referral. Parents/carers with a child with ASD, aged 2-16 years, completed questionnaires about ASD and some gave professionals' reports about their children. 1000 families registered with ASD-UK in 30 months. Children of families who participated, and of the 208 who chose not to, were found to be very similar on: gender ratio, year of birth, ASD diagnosis and social deprivation score. The reliability of parent-reported ASD diagnoses of children was very high when compared with clinical reports (over 96%); no database child without ASD was identified. A comparison of gender, ASD diagnosis, age at diagnosis, school placement, learning disability, and deprivation score of children and families from ASD-UK with 1084 children and families from Dasl(n)e, and families from population studies, showed that ASD-UK families are representative of families of children with ASD overall. ASD-UK includes families providing parent-reported data about their child and family, who appear to be broadly representative of UK children with ASD. Families continue to join the databases and more than 3000 families can now be contacted by researchers about UK autism research. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Annual Progress Report for July 1, 1980 through June 30, 1981,

DTIC Science & Technology

1981-08-01

71 14.4 Directory of Computer-Readable Bibliographic Databases .......... 73 14.5 University of Illinois Online Search Service...34Aeasures of Human Performance in Fault Diagnosis Tasks," M.S.I.E. Thesis (July 1931). 13.35 ). R. Morehead, "Models of Human Behavior in Online Searching...1981 , to appear). 1 Journal Articles 14.7 A. E. Williams, Databases and Online Statistics for 1979," Bul. Amer. Soc. for Information Science 7(2

Pharmacovigilance of drug allergy and hypersensitivity using the ENDA-DAHD database and the GALEN platform. The Galenda project.

PubMed

Bousquet, P-J; Demoly, P; Romano, A; Aberer, W; Bircher, A; Blanca, M; Brockow, K; Pichler, W; Torres, M J; Terreehorst, I; Arnoux, B; Atanaskovic-Markovic, M; Barbaud, A; Bijl, A; Bonadonna, P; Burney, P G; Caimmi, S; Canonica, G W; Cernadas, J; Dahlen, B; Daures, J-P; Fernandez, J; Gomes, E; Gueant, J-L; Kowalski, M L; Kvedariene, V; Mertes, P-M; Martins, P; Nizankowska-Mogilnicka, E; Papadopoulos, N; Ponvert, C; Pirmohamed, M; Ring, J; Salapatas, M; Sanz, M L; Szczeklik, A; Van Ganse, E; De Weck, A L; Zuberbier, T; Merk, H F; Sachs, B; Sidoroff, A

2009-02-01

Nonallergic hypersensitivity and allergic reactions are part of the many different types of adverse drug reactions (ADRs). Databases exist for the collection of ADRs. Spontaneous reporting makes up the core data-generating system of pharmacovigilance, but there is a large under-estimation of allergy/hypersensitivity drug reactions. A specific database is therefore required for drug allergy and hypersensitivity using standard operating procedures (SOPs), as the diagnosis of drug allergy/hypersensitivity is difficult and current pharmacovigilance algorithms are insufficient. Although difficult, the diagnosis of drug allergy/hypersensitivity has been standardized by the European Network for Drug Allergy (ENDA) under the aegis of the European Academy of Allergology and Clinical Immunology and SOPs have been published. Based on ENDA and Global Allergy and Asthma European Network (GA(2)LEN, EU Framework Programme 6) SOPs, a Drug Allergy and Hypersensitivity Database (DAHD((R))) has been established under FileMaker((R)) Pro 9. It is already available online in many different languages and can be accessed using a personal login. GA(2)LEN is a European network of 27 partners (16 countries) and 59 collaborating centres (26 countries), which can coordinate and implement the DAHD across Europe. The GA(2)LEN-ENDA-DAHD platform interacting with a pharmacovigilance network appears to be of great interest for the reporting of allergy/hypersensitivity ADRs in conjunction with other pharmacovigilance instruments.

Impact of land use, soil and DEM databases on surface runoff assessment with GIS decision support tool: A study case on the Briançon vineyard catchment (Gard, France)

NASA Astrophysics Data System (ADS)

Regazzoni, C.; Payraudeau, S.

2012-04-01

Runoff and associated erosion represent a primary mode of mobilization and transfer of pesticides from agricultural lands to watercourses and groundwater. The pesticides toxicity is potentially higher at the headwater catchment scale. These catchments are usually ungauged and characterized by temporary streams. Several mitigation strategies and management practices are currently used to mitigate the pesticides mixtures in agro-ecosystems. Among those practices, Stormwater Wetlands (SW) could be implemented to store surface runoff and to mitigate pesticides loads. The implementation of New Potential Stormwater Wetlands (NPSW) requires a diagnosis of intermittent runoff at the headwater catchment scale. The main difficulty to perform this diagnosis at the headwater catchment scale is to spatially characterize with enough accuracy the landscape components. Indeed, fields and field margins enhance or decrease the runoff and determine the pathways of hortonian overland flow. Land use, soil and Digital Elevation Model databases are systematically used. The question of the respective weight of each of these databases on the uncertainty of the diagnostic results is rarely analyzed at the headwater catchment scale. Therefore, this work focused (i) on the uncertainties of each of these databases and their propagation on the hortonian overland flow modelling, (ii) the methods to improve the accuracy of each database, (iii) the propagation of the databases uncertainties on intermittent runoff modelling and (iv) the impact of modelling cell size on the diagnosis. The model developed was a raster approach of the SCS-CN method integrating re-infiltration processes. The uncertainty propagation was analyzed on the Briançon vineyard catchment (Gard, France, 1400 ha). Based on this study site, the results showed that the geographic and thematic accuracies of regional soil database (1:250 000) were insufficient to correctly simulate the hortonian overland flow. These results have to be weighted according to the soil heterogeneity. Conversely, the regional land use (1:50 000) provided an acceptable diagnostic when combining with accurate soil database (1:15 000). Moreover, the regional land use quality can be improved by integrating road and river networks usually available at the national scale. Finally, a 5 m modelling cell size appeared as an optimum to correctly describe the landscape components and to assess the hortonian overland flow. A wrong assessment of the hortonian overland flow leads to a misinterpretation of the results and affects effective decision-making, e.g. the number and the location of the NSPW. This uncertainty analysis and the improvement methods developed on this study site can be adapted on other headwater catchments characterized by intermittent surface runoff.

Danish Colorectal Cancer Group Database.

PubMed

Ingeholm, Peter; Gögenur, Ismail; Iversen, Lene H

2016-01-01

The aim of the database, which has existed for registration of all patients with colorectal cancer in Denmark since 2001, is to improve the prognosis for this patient group. All Danish patients with newly diagnosed colorectal cancer who are either diagnosed or treated in a surgical department of a public Danish hospital. The database comprises an array of surgical, radiological, oncological, and pathological variables. The surgeons record data such as diagnostics performed, including type and results of radiological examinations, lifestyle factors, comorbidity and performance, treatment including the surgical procedure, urgency of surgery, and intra- and postoperative complications within 30 days after surgery. The pathologists record data such as tumor type, number of lymph nodes and metastatic lymph nodes, surgical margin status, and other pathological risk factors. The database has had >95% completeness in including patients with colorectal adenocarcinoma with >54,000 patients registered so far with approximately one-third rectal cancers and two-third colon cancers and an overrepresentation of men among rectal cancer patients. The stage distribution has been more or less constant until 2014 with a tendency toward a lower rate of stage IV and higher rate of stage I after introduction of the national screening program in 2014. The 30-day mortality rate after elective surgery has been reduced from >7% in 2001-2003 to <2% since 2013. The database is a national population-based clinical database with high patient and data completeness for the perioperative period. The resolution of data is high for description of the patient at the time of diagnosis, including comorbidities, and for characterizing diagnosis, surgical interventions, and short-term outcomes. The database does not have high-resolution oncological data and does not register recurrences after primary surgery. The Danish Colorectal Cancer Group provides high-quality data and has been documenting an increase in short- and long-term survivals since it started in 2001 for both patients with colon and rectal cancers.

CSE database: extended annotations and new recommendations for ECG software testing.

PubMed

Smíšek, Radovan; Maršánová, Lucie; Němcová, Andrea; Vítek, Martin; Kozumplík, Jiří; Nováková, Marie

2017-08-01

Nowadays, cardiovascular diseases represent the most common cause of death in western countries. Among various examination techniques, electrocardiography (ECG) is still a highly valuable tool used for the diagnosis of many cardiovascular disorders. In order to diagnose a person based on ECG, cardiologists can use automatic diagnostic algorithms. Research in this area is still necessary. In order to compare various algorithms correctly, it is necessary to test them on standard annotated databases, such as the Common Standards for Quantitative Electrocardiography (CSE) database. According to Scopus, the CSE database is the second most cited standard database. There were two main objectives in this work. First, new diagnoses were added to the CSE database, which extended its original annotations. Second, new recommendations for diagnostic software quality estimation were established. The ECG recordings were diagnosed by five new cardiologists independently, and in total, 59 different diagnoses were found. Such a large number of diagnoses is unique, even in terms of standard databases. Based on the cardiologists' diagnoses, a four-round consensus (4R consensus) was established. Such a 4R consensus means a correct final diagnosis, which should ideally be the output of any tested classification software. The accuracy of the cardiologists' diagnoses compared with the 4R consensus was the basis for the establishment of accuracy recommendations. The accuracy was determined in terms of sensitivity = 79.20-86.81%, positive predictive value = 79.10-87.11%, and the Jaccard coefficient = 72.21-81.14%, respectively. Within these ranges, the accuracy of the software is comparable with the accuracy of cardiologists. The accuracy quantification of the correct classification is unique. Diagnostic software developers can objectively evaluate the success of their algorithm and promote its further development. The annotations and recommendations proposed in this work will allow for faster development and testing of classification software. As a result, this might facilitate cardiologists' work and lead to faster diagnoses and earlier treatment.

Rapid Diagnosis of Bloodstream Infections with PCR Followed by Mass Spectrometry

PubMed Central

Jordana-Lluch, Elena; Carolan, Heather E.; Giménez, Montserrat; Sampath, Rangarajan; Ecker, David J.; Quesada, M. Dolores; Mòdol, Josep M.; Arméstar, Fernando; Blyn, Lawrence B.; Cummins, Lendell L.; Ausina, Vicente; Martró, Elisa

2013-01-01

Achieving a rapid microbiological diagnosis is crucial for decreasing morbidity and mortality of patients with a bloodstream infection, as it leads to the administration of an appropriate empiric antimicrobial therapy. Molecular methods may offer a rapid alternative to conventional microbiological diagnosis involving blood culture. In this study, the performance of a new technology that uses broad-spectrum PCR coupled with mass spectrometry (PCR/ESI-MS) was evaluated for the detection of microorganisms directly from whole blood. A total of 247 whole blood samples and paired blood cultures were prospectively obtained from 175 patients with a suspicion of sepsis. Both sample types were analyzed using the PCR/ESI-MS technology, and the results were compared with those obtained by conventional identification methods. The overall agreement between conventional methods and PCR/ESI-MS performed in blood culture aliquots was 94.2% with 96.8% sensitivity and 98.5% specificity for the molecular method. When comparing conventional methods with PCR/ESI-MS performed in whole blood specimens, the overall agreement was 77.1% with 50% sensitivity and 93.8% specificity for the molecular method. Interestingly, the PCR/ESI-MS technology led to the additional identification of 13 pathogens that were not found by conventional methods. Using the PCR/ESI-MS technology the microbiological diagnosis of bloodstream infections could be anticipated in about half of the patients in our setting, including a small but significant proportion of patients newly diagnosed. Thus, this promising technology could be very useful for the rapid diagnosis of sepsis in combination with traditional methods. PMID:23626775

Global Collaboration Enhances Technology Literacy

ERIC Educational Resources Information Center

Cook, Linda A.; Bell, Meredith L.; Nugent, Jill; Smith, Walter S.

2016-01-01

Today's learners routinely use technology outside of school to communicate, collaborate, and gather information about the world around them. Classroom learning experiences are relevant when they include communication technologies such as social networking, blogging, and video conferencing, and information technologies such as databases, browsers,…

[Discussion of the implementation of MIMIC database in emergency medical study].

PubMed

Li, Kaiyuan; Feng, Cong; Jia, Lijing; Chen, Li; Pan, Fei; Li, Tanshi

2018-05-01

To introduce Medical Information Mart for Intensive Care (MIMIC) database and elaborate the approach of critically emergent research with big data based on the feature of MIMIC and updated studies both domestic and overseas, we put forward the feasibility and necessity of introducing medical big data to research in emergency. Then we discuss the role of MIMIC database in emergency clinical study, as well as the principles and key notes of experimental design and implementation under the medical big data circumstance. The implementation of MIMIC database in emergency medical research provides a brand new field for the early diagnosis, risk warning and prognosis of critical illness, however there are also limitations. To meet the era of big data, emergency medical database which is in accordance with our national condition is needed, which will provide new energy to the development of emergency medicine.

WE-G-9A-01: Radiation Oncology Outcomes Informatics

DOE Office of Scientific and Technical Information (OSTI.GOV)

Mayo, C; Miller, R; Sloan, J

2014-06-15

The construction of databases and support software to enable routine and systematic aggregation, analysis and reporting of patient outcomes data is emerging as an important area. “How have results for our patients been affected by the improvements we have made in our practice and in the technologies we use?” To answer this type of fundamental question about the overall pattern of efficacy observed, it is necessary to systematically gather and analyze data on all patients treated within a clinic. Clinical trials answer, in great depth and detail, questions about outcomes for the subsets of patients enrolled in a given trial.more » However, routine aggregation and analysis of key treatment parameter data and outcomes information for all patients is necessary to recognize emergent patterns that would be of interest from a public health or practice perspective and could better inform design of clinical trials or the evolution of best practice principals. To address these questions, Radiation Oncology outcomes databases need to be constructed to enable combination essential data from a broad group of data types including: diagnosis and staging, dose volume histogram metrics, patient reported outcomes, toxicity metrics, performance status, treatment plan parameters, demographics, DICOM data and demographics. Developing viable solutions to automate aggregation and analysis of this data requires multidisciplinary efforts to define nomenclatures, modify clinical processes and develop software and database tools requires detailed understanding of both clinical and technical issues. This session will cover the developing area of Radiation Oncology Outcomes Informatics. Learning Objectives: Audience will be able to speak to the technical requirements (software, database, web services) which must be considered in designing an outcomes database. Audience will be able to understand the content and the role of patient reported outcomes as compared to traditional toxicity measures. Audience will be understand approaches, clinical process changes, consensus building efforts and standardizations which must be addressed to succeed in a multi-disciplinary effort to aggregate data for all patients. Audience will be able to discuss technical and process issues related to pooling data among institutions in the context of collaborative studies among the presenting institutions.« less

Implementation of the CDC translational informatics platform--from genetic variants to the national Swedish Rheumatology Quality Register.

PubMed

Abugessaisa, Imad; Gomez-Cabrero, David; Snir, Omri; Lindblad, Staffan; Klareskog, Lars; Malmström, Vivianne; Tegnér, Jesper

2013-04-02

Sequencing of the human genome and the subsequent analyses have produced immense volumes of data. The technological advances have opened new windows into genomics beyond the DNA sequence. In parallel, clinical practice generate large amounts of data. This represents an underused data source that has much greater potential in translational research than is currently realized. This research aims at implementing a translational medicine informatics platform to integrate clinical data (disease diagnosis, diseases activity and treatment) of Rheumatoid Arthritis (RA) patients from Karolinska University Hospital and their research database (biobanks, genotype variants and serology) at the Center for Molecular Medicine, Karolinska Institutet. Requirements engineering methods were utilized to identify user requirements. Unified Modeling Language and data modeling methods were used to model the universe of discourse and data sources. Oracle11g were used as the database management system, and the clinical development center (CDC) was used as the application interface. Patient data were anonymized, and we employed authorization and security methods to protect the system. We developed a user requirement matrix, which provided a framework for evaluating three translation informatics systems. The implementation of the CDC successfully integrated biological research database (15172 DNA, serum and synovial samples, 1436 cell samples and 65 SNPs per patient) and clinical database (5652 clinical visit) for the cohort of 379 patients presents three profiles. Basic functionalities provided by the translational medicine platform are research data management, development of bioinformatics workflow and analysis, sub-cohort selection, and re-use of clinical data in research settings. Finally, the system allowed researchers to extract subsets of attributes from cohorts according to specific biological, clinical, or statistical features. Research and clinical database integration is a real challenge and a road-block in translational research. Through this research we addressed the challenges and demonstrated the usefulness of CDC. We adhered to ethical regulations pertaining to patient data, and we determined that the existing software solutions cannot meet the translational research needs at hand. We used RA as a test case since we have ample data on active and longitudinal cohort.

Implementation of the CDC translational informatics platform - from genetic variants to the national Swedish Rheumatology Quality Register

PubMed Central

2013-01-01

Background Sequencing of the human genome and the subsequent analyses have produced immense volumes of data. The technological advances have opened new windows into genomics beyond the DNA sequence. In parallel, clinical practice generate large amounts of data. This represents an underused data source that has much greater potential in translational research than is currently realized. This research aims at implementing a translational medicine informatics platform to integrate clinical data (disease diagnosis, diseases activity and treatment) of Rheumatoid Arthritis (RA) patients from Karolinska University Hospital and their research database (biobanks, genotype variants and serology) at the Center for Molecular Medicine, Karolinska Institutet. Methods Requirements engineering methods were utilized to identify user requirements. Unified Modeling Language and data modeling methods were used to model the universe of discourse and data sources. Oracle11g were used as the database management system, and the clinical development center (CDC) was used as the application interface. Patient data were anonymized, and we employed authorization and security methods to protect the system. Results We developed a user requirement matrix, which provided a framework for evaluating three translation informatics systems. The implementation of the CDC successfully integrated biological research database (15172 DNA, serum and synovial samples, 1436 cell samples and 65 SNPs per patient) and clinical database (5652 clinical visit) for the cohort of 379 patients presents three profiles. Basic functionalities provided by the translational medicine platform are research data management, development of bioinformatics workflow and analysis, sub-cohort selection, and re-use of clinical data in research settings. Finally, the system allowed researchers to extract subsets of attributes from cohorts according to specific biological, clinical, or statistical features. Conclusions Research and clinical database integration is a real challenge and a road-block in translational research. Through this research we addressed the challenges and demonstrated the usefulness of CDC. We adhered to ethical regulations pertaining to patient data, and we determined that the existing software solutions cannot meet the translational research needs at hand. We used RA as a test case since we have ample data on active and longitudinal cohort. PMID:23548156

Database of Industrial Technological Information in Kanagawa : Networks for Technology Activities

NASA Astrophysics Data System (ADS)

Saito, Akira; Shindo, Tadashi

This system is one of the databases which require participation by its members and of which premise is to open all the data in it. Aiming at free technological cooperation and exchange among industries it was constructed by Kanagawa Prefecture in collaboration with enterprises located in it. The input data is 36 items such as major product, special and advantageous technology, technolagy to be wanted for cooperation, facility and equipment, which technologically characterize each enterprise. They are expressed in 2,000 characters and written by natural language including Kanji except for some coded items. 24 search items are accessed by natural language so that in addition to interactive searching procedures including menu-type it enables extensive searching. The information service started in Oct., 1986 covering data from 2,000 enterprisen.

Facilitating Collaboration, Knowledge Construction and Communication with Web-Enabled Databases.

ERIC Educational Resources Information Center

McNeil, Sara G.; Robin, Bernard R.

This paper presents an overview of World Wide Web-enabled databases that dynamically generate Web materials and focuses on the use of this technology to support collaboration, knowledge construction, and communication. Database applications have been used in classrooms to support learning activities for over a decade, but, although business and…

Implementing a Dynamic Database-Driven Course Using LAMP

ERIC Educational Resources Information Center

Laverty, Joseph Packy; Wood, David; Turchek, John

2011-01-01

This paper documents the formulation of a database driven open source architecture web development course. The design of a web-based curriculum faces many challenges: a) relative emphasis of client and server-side technologies, b) choice of a server-side language, and c) the cost and efficient delivery of a dynamic web development, database-driven…

An Experimental Investigation of Complexity in Database Query Formulation Tasks

ERIC Educational Resources Information Center

Casterella, Gretchen Irwin; Vijayasarathy, Leo

2013-01-01

Information Technology professionals and other knowledge workers rely on their ability to extract data from organizational databases to respond to business questions and support decision making. Structured query language (SQL) is the standard programming language for querying data in relational databases, and SQL skills are in high demand and are…

A UNIMARC Bibliographic Format Database for ABCD

ERIC Educational Resources Information Center

Megnigbeto, Eustache

2012-01-01

Purpose: ABCD is a web-based open and free software suite for library management derived from the UNESCO CDS/ISIS software technology. The first version was launched officially in December 2009 with a MARC 21 bibliographic format database. This paper aims to detail the building of the UNIMARC bibliographic format database for ABCD.…

Generation of an Aerothermal Data Base for the X33 Spacecraft

NASA Technical Reports Server (NTRS)

Roberts, Cathy; Huynh, Loc

1998-01-01

The X-33 experimental program is a cooperative program between industry and NASA, managed by Lockheed-Martin Skunk Works to develop an experimental vehicle to demonstrate new technologies for a single-stage-to-orbit, fully reusable launch vehicle (RLV). One of the new technologies to be demonstrated is an advanced Thermal Protection System (TPS) being designed by BF Goodrich (formerly Rohr, Inc.) with support from NASA. The calculation of an aerothermal database is crucial to identifying the critical design environment data for the TPS. The NASA Ames X-33 team has generated such a database using Computational Fluid Dynamics (CFD) analyses, engineering analysis methods and various programs to compare and interpolate the results from the CFD and the engineering analyses. This database, along with a program used to query the database, is used extensively by several X-33 team members to help them in designing the X-33. This paper will describe the methods used to generate this database, the program used to query the database, and will show some of the aerothermal analysis results for the X-33 aircraft.

SQL is Dead; Long-live SQL: Relational Database Technology in Science Contexts

NASA Astrophysics Data System (ADS)

Howe, B.; Halperin, D.

2014-12-01

Relational databases are often perceived as a poor fit in science contexts: Rigid schemas, poor support for complex analytics, unpredictable performance, significant maintenance and tuning requirements --- these idiosyncrasies often make databases unattractive in science contexts characterized by heterogeneous data sources, complex analysis tasks, rapidly changing requirements, and limited IT budgets. In this talk, I'll argue that although the value proposition of typical relational database systems are weak in science, the core ideas that power relational databases have become incredibly prolific in open source science software, and are emerging as a universal abstraction for both big data and small data. In addition, I'll talk about two open source systems we are building to "jailbreak" the core technology of relational databases and adapt them for use in science. The first is SQLShare, a Database-as-a-Service system supporting collaborative data analysis and exchange by reducing database use to an Upload-Query-Share workflow with no installation, schema design, or configuration required. The second is Myria, a service that supports much larger scale data, complex analytics, and supports multiple back end systems. Finally, I'll describe some of the ways our collaborators in oceanography, astronomy, biology, fisheries science, and more are using these systems to replace script-based workflows for reasons of performance, flexibility, and convenience.

Technology Development Resources | Resources | CDP

Cancer.gov

The Cancer Diagnosis Program strives to improve the diagnosis and assessment of cancer by effectively moving new scientific knowledge into clinical practice. This national program stimulates, coordinates and funds resources and research for the development of innovative in vitro diagnostics, novel diagnostic technologies and appropriate human specimens in order to better characterize cancers and allow improved medical decision making and evaluation of response to treatment.

Does Autism Diagnosis Age or Symptom Severity Differ among Children According to Whether Assisted Reproductive Technology Was Used to Achieve Pregnancy?

ERIC Educational Resources Information Center

Schieve, Laura A.; Fountain, Christine; Boulet, Sheree L.; Yeargin-Allsopp, Marshalyn; Kissin, Dmitry M.; Jamieson, Denise J.; Rice, Catherine; Bearman, Peter

2015-01-01

Previous studies report associations between conception with assisted reproductive technology (ART) and autism. Whether these associations reflect an ascertainment or biologic effect is undetermined. We assessed diagnosis age and initial autism symptom severity among >30,000 children with autism from a linkage study of California Department of…

Digital diagnosis and treatment of mandibular condylar fractures based on Extensible Neuro imaging Archive Toolkit (XNAT)

PubMed Central

Ren, Jiayin; He, Mingyun; Huang, Yongqing; Tian, WeiDong; Tang, Wei

2018-01-01

Objectives The treatment of condylar fractures has long been controversial. In this paper, we established a database for accurate measurement, storage, management and analysis of patients’ data, in order to help determine the best treatment plan. Methods First of all, the diagnosis and treatment database was established based on XNAT, including 339 cases of condylar fractures and their related information. Then image segmentation, registration and three-dimensional (3D) measurement were used to measure and analyze the condyle shapes. Statistical analysis was used to analyze the anatomical structure changes of condyle and the surrounding tissues at different stages before and after treatment. The processes of condylar fracture reestablishment at different stages were also dynamically monitored. Finally, based on all these information, the digital diagnosis and treatment plans for condylar fractures were developed. Results For the patients less than 18 years old with no significant dislocation, surgical treatment and conservative treatment were equally effective for intracapsular fracture, and had no significant difference for neck and basal fractures. For patients above 18 years old, there was no significant difference between the two treatment methods for intracapsular fractures; but for condylar neck and basal fractures, surgical treatment was better than conservative treatment. When condylar fracture shift angle was greater than 11 degrees, and mandibular ramus height reduction was greater than 4mm, the patients felt the strongest pain, and their mouths opening was severely restricted. There were 170 surgical cases with condylar fracture shift angel greater than 11 degrees, and 118 of them (69.4%) had good prognosis, 52 of them (30.6%) had complications such as limited mouth opening. There were 173 surgical cases with mandibular ramus height reduction more than 4mm, and 112 of them (64.7%) had good prognosis, 61 of them (35.3%) had complications such as limited mouth opening. Conclusions The establishment of XNAT condylar fracture database is helpful for establishing a digital diagnosis and treatment workflow for mandibular condylar fractures, providing new theoretical foundation and application basis for diagnosis and treatment of condylar fractures. PMID:29432477

Pressure Injuries in Inpatient Care Facilities in the Czech Republic: Analysis of a National Electronic Database.

PubMed

Pokorná, Andrea; Benešová, Klára; Jarkovský, Jirˇí; Mužík, Jan; Beeckman, Dimitri

The purpose of this study was to analyze pressure injury (PI) occurrence upon admission and at any time during the hospital course inpatients care facilities in the Czech Republic. Secondary aims were to evaluate demographic and clinical data of patients with PI and the impact of a PI on length of stay (LOS) in the hospital. Retrospective, cross-sectional analysis. The sample comprised data of hospitalized patients entered into the National Register of Hospitalized Patients (NRHOSP) database of the Czech Republic between 2007 and 2014 with a diagnosis L89 (pressure ulcer of unspecified site based on the International Classification of Diseases, Tenth Revision, ICD-10). Electronic records of 17,762,854 hospitalizations were reviewed. Data from the NRHOSP from all acute and non-acute care hospitals in the Czech Republic were analyzed. Specifically, we analyzed patients admitted to acute and non-acute care facilities with a primary or secondary diagnosis of PI. The NRHOSP database included 17,762,854 cases, of which 46,224 cases (33,342 cases in acute care hospitals; 12,882 in non-acute care hospitals) had the L89 diagnosis (0.3%). The mean age of patients admitted with a PI was 73.8 ± 15.3 years (mean ± SD), and their average LOS was 33.2 ± 76.9 days. The mean LOS of patients hospitalized with L89 code as a primary diagnosis (n = 6877) was significantly longer compared to those patients for whom L89 code was a secondary diagnosis (25.8 vs 20.2 days, P < .001) in acute care facilities. In contrast, we found no difference in the mean LOS for patients hospitalized in non-acute care facility (58.7 days vs 65.1 days; P = .146) with ICD code L89. Pressure injuries were associated with significant LOS in both acute and non-acute care settings in the Czech Republic. Despite the valuable insights we obtained from the analysis of NRHOSP data, we advocate creation of a more valid and reliable electronic reporting system that enables policy makers to evaluate the quality and safety concerning PI and its impact on patients and the healthcare system.

Clinical Metabolomics: The New Metabolic Window for Inborn Errors of Metabolism Investigations in the Post-Genomic Era

PubMed Central

Tebani, Abdellah; Abily-Donval, Lenaig; Afonso, Carlos; Marret, Stéphane; Bekri, Soumeya

2016-01-01

Inborn errors of metabolism (IEM) represent a group of about 500 rare genetic diseases with an overall estimated incidence of 1/2500. The diversity of metabolic pathways involved explains the difficulties in establishing their diagnosis. However, early diagnosis is usually mandatory for successful treatment. Given the considerable clinical overlap between some inborn errors, biochemical and molecular tests are crucial in making a diagnosis. Conventional biological diagnosis procedures are based on a time-consuming series of sequential and segmented biochemical tests. The rise of “omic” technologies offers holistic views of the basic molecules that build a biological system at different levels. Metabolomics is the most recent “omic” technology based on biochemical characterization of metabolites and their changes related to genetic and environmental factors. This review addresses the principles underlying metabolomics technologies that allow them to comprehensively assess an individual biochemical profile and their reported applications for IEM investigations in the precision medicine era. PMID:27447622

The human role in space (THURIS) applications study. Final briefing

NASA Technical Reports Server (NTRS)

Maybee, George W.

1987-01-01

The THURIS (The Human Role in Space) application is an iterative process involving successive assessments of man/machine mixes in terms of performance, cost and technology to arrive at an optimum man/machine mode for the mission application. The process begins with user inputs which define the mission in terms of an event sequence and performance time requirements. The desired initial operational capability date is also an input requirement. THURIS terms and definitions (e.g., generic activities) are applied to the input data converting it into a form which can be analyzed using the THURIS cost model outputs. The cost model produces tabular and graphical outputs for determining the relative cost-effectiveness of a given man/machine mode and generic activity. A technology database is provided to enable assessment of support equipment availability for selected man/machine modes. If technology gaps exist for an application, the database contains information supportive of further investigation into the relevant technologies. The present study concentrated on testing and enhancing the THURIS cost model and subordinate data files and developing a technology database which interfaces directly with the user via technology readiness displays. This effort has resulted in a more powerful, easy-to-use applications system for optimization of man/machine roles. Volume 1 is an executive summary.

The liver tissue bank and clinical database in China.

PubMed

Yang, Yuan; Liu, Yi-Min; Wei, Ming-Yue; Wu, Yi-Fei; Gao, Jun-Hui; Liu, Lei; Zhou, Wei-Ping; Wang, Hong-Yang; Wu, Meng-Chao

2010-12-01

To develop a standardized and well-rounded material available for hepatology research, the National Liver Tissue Bank (NLTB) Project began in 2008 in China to make well-characterized and optimally preserved liver tumor tissue and clinical database. From Dec 2008 to Jun 2010, over 3000 individuals have been enrolled as liver tumor donors to the NLTB, including 2317 cases of newly diagnosed hepatocellular carcinoma (HCC) and about 1000 cases of diagnosed benign or malignant liver tumors. The clinical database and sample store can be managed easily and correctly with the data management platform used. We believe that the high-quality samples with detailed information database will become the cornerstone of hepatology research especially in studies exploring the diagnosis and new treatments for HCC and other liver diseases.

Performance of Polymerase Chain Reaction Analysis of the Amniotic Fluid of Pregnant Women for Diagnosis of Congenital Toxoplasmosis: A Systematic Review and Meta-Analysis.

PubMed

de Oliveira Azevedo, Christianne Terra; do Brasil, Pedro Emmanuel A A; Guida, Letícia; Lopes Moreira, Maria Elizabeth

2016-01-01

Congenital infection caused by Toxoplasma gondii can cause serious damage that can be diagnosed in utero or at birth, although most infants are asymptomatic at birth. Prenatal diagnosis of congenital toxoplasmosis considerably improves the prognosis and outcome for infected infants. For this reason, an assay for the quick, sensitive, and safe diagnosis of fetal toxoplasmosis is desirable. To systematically review the performance of polymerase chain reaction (PCR) analysis of the amniotic fluid of pregnant women with recent serological toxoplasmosis diagnoses for the diagnosis of fetal toxoplasmosis. A systematic literature review was conducted via a search of electronic databases; the literature included primary studies of the diagnostic accuracy of PCR analysis of amniotic fluid from pregnant women who seroconverted during pregnancy. The PCR test was compared to a gold standard for diagnosis. A total of 1.269 summaries were obtained from the electronic database and reviewed, and 20 studies, comprising 4.171 samples, met the established inclusion criteria and were included in the review. The following results were obtained: studies about PCR assays for fetal toxoplasmosis are generally susceptible to bias; reports of the tests' use lack critical information; the protocols varied among studies; the heterogeneity among studies was concentrated in the tests' sensitivity; there was evidence that the sensitivity of the tests increases with time, as represented by the trimester; and there was more heterogeneity among studies in which there was more time between maternal diagnosis and fetal testing. The sensitivity of the method, if performed up to five weeks after maternal diagnosis, was 87% and specificity was 99%. The global sensitivity heterogeneity of the PCR test in this review was 66.5% (I(2)). The tests show low evidence of heterogeneity with a sensitivity of 87% and specificity of 99% when performed up to five weeks after maternal diagnosis. The test has a known performance and could be recommended for use up to five weeks after maternal diagnosis, when there is suspicion of fetal toxoplasmosis.

Performance of Polymerase Chain Reaction Analysis of the Amniotic Fluid of Pregnant Women for Diagnosis of Congenital Toxoplasmosis: A Systematic Review and Meta-Analysis

PubMed Central

2016-01-01

Introduction Congenital infection caused by Toxoplasma gondii can cause serious damage that can be diagnosed in utero or at birth, although most infants are asymptomatic at birth. Prenatal diagnosis of congenital toxoplasmosis considerably improves the prognosis and outcome for infected infants. For this reason, an assay for the quick, sensitive, and safe diagnosis of fetal toxoplasmosis is desirable. Goal To systematically review the performance of polymerase chain reaction (PCR) analysis of the amniotic fluid of pregnant women with recent serological toxoplasmosis diagnoses for the diagnosis of fetal toxoplasmosis. Method A systematic literature review was conducted via a search of electronic databases; the literature included primary studies of the diagnostic accuracy of PCR analysis of amniotic fluid from pregnant women who seroconverted during pregnancy. The PCR test was compared to a gold standard for diagnosis. Results A total of 1.269 summaries were obtained from the electronic database and reviewed, and 20 studies, comprising 4.171 samples, met the established inclusion criteria and were included in the review. The following results were obtained: studies about PCR assays for fetal toxoplasmosis are generally susceptible to bias; reports of the tests’ use lack critical information; the protocols varied among studies; the heterogeneity among studies was concentrated in the tests’ sensitivity; there was evidence that the sensitivity of the tests increases with time, as represented by the trimester; and there was more heterogeneity among studies in which there was more time between maternal diagnosis and fetal testing. The sensitivity of the method, if performed up to five weeks after maternal diagnosis, was 87% and specificity was 99%. Conclusion The global sensitivity heterogeneity of the PCR test in this review was 66.5% (I2). The tests show low evidence of heterogeneity with a sensitivity of 87% and specificity of 99% when performed up to five weeks after maternal diagnosis. The test has a known performance and could be recommended for use up to five weeks after maternal diagnosis, when there is suspicion of fetal toxoplasmosis. PMID:27055272

MicroRNA in Prostate Cancer Racial Disparities and Aggressiveness

DTIC Science & Technology

2017-10-01

actively followed all of the enrolled men in the cohort who did not have extensive disease at diagnosis for PSA outcomes. Mean follow-up time is currently...60 months. Follow-up of PSA test results through medical records and Caisis database were updated in August, 2017, and a linkage with Metropolitan...and from the current protocol) who did not have extensive disease at diagnosis for PSA outcomes. Mean follow-up time is currently 60 months (as of

The role of smartphones in encouraging physical activity in adults

PubMed Central

Stuckey, Melanie I; Carter, Shawn W; Knight, Emily

2017-01-01

Lack of physical activity is a global public health issue. Behavioral change interventions utilizing smartphone applications (apps) are considered a potential solution. The purpose of this literature review was to: 1) determine whether smartphone-based interventions encourage the initiation of, and participation in, physical activity; 2) explore the success of interventions in different populations; and 3) examine the key factors of the interventions that successfully encouraged physical activity. Eight databases (Medline, Scopus, EBM Reviews–Cochrane Central Register of Controlled Trials, EBM Reviews–Cochrane Database of Systematic Reviews, PsycInfo, SportDISCUS, CINAHL, and EMBASE) were searched and studies reporting physical activity outcomes following interventions using smartphone apps in adults were included in the narrative review. Results were mixed with eight studies reporting increased physical activity and ten reporting no change. Interventions did not appear to be successful in specific populations defined by age, sex, country, or clinical diagnosis. There was no conclusive evidence that a specific behavioral theory or behavioral change technique was superior in eliciting behavioral change. The literature remains limited primarily to short-term studies, many of which are underpowered feasibility or pilot studies; therefore, many knowledge gaps regarding the effectiveness of smartphone apps in encouraging physical activity remain. Robust studies that can accommodate the fast pace of the technology industry are needed to examine outcomes in large populations. PMID:28979157

Study of Mobile GIS Application on the Field of GPR in the Road Disease Detection

NASA Astrophysics Data System (ADS)

Liao, Q.; Yang, F.

2013-12-01

With the reflection principle of pulsed electromagnetic waves, ground penetrating radar (GPR) is available to measure depth of the pavement layer, reflecting different hidden danger underground. Currently, GPR has been widely used in road engineering with the constantly improved ability of detection and diagnosis to road diseases. The sum of road disease data of a region, a city, and even a wider range will be a very informative database, so we need a more convenient way to achieve data query intuitively. As mobile internet develops continuously, application of mobile terminal device plays a more important role in information platform. Mobile GIS, with smartphone as its terminal, is supported by the mobile Internet, GPS or base station as its positioning method. In this article, based on Android Platform and using C/S pattern, the LBS application of road diseases information which integrates Baidu Map API and database technology was discussed. After testing, it can display and query the real-time and historical road diseases data, the classification of data on a phone intuitively and easily. Because of the location technique and high portability of smart phone, the spot investigations of road diseases become easier. Though, the system needs further improvement, especially with the improving of the mobile phone performance, the system can also add the function of analysis to the disease data, thus forming a set of service system with more applicable.

Vision-based gait impairment analysis for aided diagnosis.

PubMed

Ortells, Javier; Herrero-Ezquerro, María Trinidad; Mollineda, Ramón A

2018-02-12

Gait is a firsthand reflection of health condition. This belief has inspired recent research efforts to automate the analysis of pathological gait, in order to assist physicians in decision-making. However, most of these efforts rely on gait descriptions which are difficult to understand by humans, or on sensing technologies hardly available in ambulatory services. This paper proposes a number of semantic and normalized gait features computed from a single video acquired by a low-cost sensor. Far from being conventional spatio-temporal descriptors, features are aimed at quantifying gait impairment, such as gait asymmetry from several perspectives or falling risk. They were designed to be invariant to frame rate and image size, allowing cross-platform comparisons. Experiments were formulated in terms of two databases. A well-known general-purpose gait dataset is used to establish normal references for features, while a new database, introduced in this work, provides samples under eight different walking styles: one normal and seven impaired patterns. A number of statistical studies were carried out to prove the sensitivity of features at measuring the expected pathologies, providing enough evidence about their accuracy. Graphical Abstract Graphical abstract reflecting main contributions of the manuscript: at the top, a robust, semantic and easy-to-interpret feature set to describe impaired gait patterns; at the bottom, a new dataset consisting of video-recordings of a number of volunteers simulating different patterns of pathological gait, where features were statistically assessed.

Evaluation of a New Ensemble Learning Framework for Mass Classification in Mammograms.

PubMed

Rahmani Seryasat, Omid; Haddadnia, Javad

2018-06-01

Mammography is the most common screening method for diagnosis of breast cancer. In this study, a computer-aided system for diagnosis of benignity and malignity of the masses was implemented in mammogram images. In the computer aided diagnosis system, we first reduce the noise in the mammograms using an effective noise removal technique. After the noise removal, the mass in the region of interest must be segmented and this segmentation is done using a deformable model. After the mass segmentation, a number of features are extracted from it. These features include: features of the mass shape and border, tissue properties, and the fractal dimension. After extracting a large number of features, a proper subset must be chosen from among them. In this study, we make use of a new method on the basis of a genetic algorithm for selection of a proper set of features. After determining the proper features, a classifier is trained. To classify the samples, a new architecture for combination of the classifiers is proposed. In this architecture, easy and difficult samples are identified and trained using different classifiers. Finally, the proposed mass diagnosis system was also tested on mini-Mammographic Image Analysis Society and digital database for screening mammography databases. The obtained results indicate that the proposed system can compete with the state-of-the-art methods in terms of accuracy. Copyright © 2017 Elsevier Inc. All rights reserved.

Data-based hybrid tension estimation and fault diagnosis of cold rolling continuous annealing processes.

PubMed

Liu, Qiang; Chai, Tianyou; Wang, Hong; Qin, Si-Zhao Joe

2011-12-01

The continuous annealing process line (CAPL) of cold rolling is an important unit to improve the mechanical properties of steel strips in steel making. In continuous annealing processes, strip tension is an important factor, which indicates whether the line operates steadily. Abnormal tension profile distribution along the production line can lead to strip break and roll slippage. Therefore, it is essential to estimate the whole tension profile in order to prevent the occurrence of faults. However, in real annealing processes, only a limited number of strip tension sensors are installed along the machine direction. Since the effects of strip temperature, gas flow, bearing friction, strip inertia, and roll eccentricity can lead to nonlinear tension dynamics, it is difficult to apply the first-principles induced model to estimate the tension profile distribution. In this paper, a novel data-based hybrid tension estimation and fault diagnosis method is proposed to estimate the unmeasured tension between two neighboring rolls. The main model is established by an observer-based method using a limited number of measured tensions, speeds, and currents of each roll, where the tension error compensation model is designed by applying neural networks principal component regression. The corresponding tension fault diagnosis method is designed using the estimated tensions. Finally, the proposed tension estimation and fault diagnosis method was applied to a real CAPL in a steel-making company, demonstrating the effectiveness of the proposed method.

Is Routine Pathologic Evaluation of Sebaceous Cysts Necessary?: A 15-Year Retrospective Review of a Single Institution.

PubMed

Gargya, Vipul; Lucas, Heather D; Wendel Spiczka, Amy J; Mahabir, Raman Chaos

2017-02-01

A question arose in our practice of whether all cysts considered sebaceous should be sent for pathologic evaluation. To address this controversial topic, we performed a retrospective study of our single institution's histopathology database. A natural language search of the CoPath database across the institution was undertaken using the diagnosis of sebaceous cyst, epidermal cyst, epidermoid cyst, epithelial cyst, infundibular cyst, pilar cyst, trichilemmal cyst, and steatocystoma. A surgical pathologic review of all specimens with one of these preexcision diagnoses was included in the 15-year retrospective study of 1998 to 2013. All slides were confirmed to have undergone histopathologic review, and the preexcision diagnoses were compared with the postexcision diagnoses. Chart review was undertaken in instances of a diagnosis of malignancy. A total of 13,746 samples were identified. Forty-eight specimens had histopathologic diagnosis of malignancy, for an incidence of 0.3% and with the most common malignancy being squamous cell carcinoma. Chart review showed that for all cases, the surgeons reported uncertainty with regard to the diagnosis because of history or physical characteristics, or both. In addition, a comprehensive literature review showed results consistent with our data and illustrated 19 cases during the past 10 years in which most of the findings were squamous cell carcinoma. We propose the recommendation that routine pathologic evaluation of sebaceous cysts is necessary only when clinical suspicion exists.

Reliability of specific physical examination tests for the diagnosis of shoulder pathologies: a systematic review and meta-analysis.

PubMed

Lange, Toni; Matthijs, Omer; Jain, Nitin B; Schmitt, Jochen; Lützner, Jörg; Kopkow, Christian

2017-03-01

Shoulder pain in the general population is common and to identify the aetiology of shoulder pain, history, motion and muscle testing, and physical examination tests are usually performed. The aim of this systematic review was to summarise and evaluate intrarater and inter-rater reliability of physical examination tests in the diagnosis of shoulder pathologies. A comprehensive systematic literature search was conducted using MEDLINE, EMBASE, Allied and Complementary Medicine Database (AMED) and Physiotherapy Evidence Database (PEDro) through 20 March 2015. Methodological quality was assessed using the Quality Appraisal of Reliability Studies (QAREL) tool by 2 independent reviewers. The search strategy revealed 3259 articles, of which 18 finally met the inclusion criteria. These studies evaluated the reliability of 62 test and test variations used for the specific physical examination tests for the diagnosis of shoulder pathologies. Methodological quality ranged from 2 to 7 positive criteria of the 11 items of the QAREL tool. This review identified a lack of high-quality studies evaluating inter-rater as well as intrarater reliability of specific physical examination tests for the diagnosis of shoulder pathologies. In addition, reliability measures differed between included studies hindering proper cross-study comparisons. PROSPERO CRD42014009018. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

A comparison of basic deinterlacing approaches for a computer assisted diagnosis approach of videoscope images

NASA Astrophysics Data System (ADS)

Kage, Andreas; Canto, Marcia; Gorospe, Emmanuel; Almario, Antonio; Münzenmayer, Christian

2010-03-01

In the near future, Computer Assisted Diagnosis (CAD) which is well known in the area of mammography might be used to support clinical experts in the diagnosis of images derived from imaging modalities such as endoscopy. In the recent past, a few first approaches for computer assisted endoscopy have been presented already. These systems use a video signal as an input that is provided by the endoscopes video processor. Despite the advent of high-definition systems most standard endoscopy systems today still provide only analog video signals. These signals consist of interlaced images that can not be used in a CAD approach without deinterlacing. Of course, there are many different deinterlacing approaches known today. But most of them are specializations of some basic approaches. In this paper we present four basic deinterlacing approaches. We have used a database of non-interlaced images which have been degraded by artificial interlacing and afterwards processed by these approaches. The database contains regions of interest (ROI) of clinical relevance for the diagnosis of abnormalities in the esophagus. We compared the classification rates on these ROIs on the original images and after the deinterlacing. The results show that the deinterlacing has an impact on the classification rates. The Bobbing approach and the Motion Compensation approach achieved the best classification results in most cases.

Synthesis of vibroarthrographic signals in knee osteoarthritis diagnosis training.

PubMed

Shieh, Chin-Shiuh; Tseng, Chin-Dar; Chang, Li-Yun; Lin, Wei-Chun; Wu, Li-Fu; Wang, Hung-Yu; Chao, Pei-Ju; Chiu, Chien-Liang; Lee, Tsair-Fwu

2016-07-19

Vibroarthrographic (VAG) signals are used as useful indicators of knee osteoarthritis (OA) status. The objective was to build a template database of knee crepitus sounds. Internships can practice in the template database to shorten the time of training for diagnosis of OA. A knee sound signal was obtained using an innovative stethoscope device with a goniometer. Each knee sound signal was recorded with a Kellgren-Lawrence (KL) grade. The sound signal was segmented according to the goniometer data. The signal was Fourier transformed on the correlated frequency segment. An inverse Fourier transform was performed to obtain the time-domain signal. Haar wavelet transform was then done. The median and mean of the wavelet coefficients were chosen to inverse transform the synthesized signal in each KL category. The quality of the synthesized signal was assessed by a clinician. The sample signals were evaluated using different algorithms (median and mean). The accuracy rate of the median coefficient algorithm (93 %) was better than the mean coefficient algorithm (88 %) for cross-validation by a clinician using synthesis of VAG. The artificial signal we synthesized has the potential to build a learning system for medical students, internships and para-medical personnel for the diagnosis of OA. Therefore, our method provides a feasible way to evaluate crepitus sounds that may assist in the diagnosis of knee OA.

DataBase on Demand

NASA Astrophysics Data System (ADS)

Gaspar Aparicio, R.; Gomez, D.; Coterillo Coz, I.; Wojcik, D.

2012-12-01

At CERN a number of key database applications are running on user-managed MySQL database services. The database on demand project was born out of an idea to provide the CERN user community with an environment to develop and run database services outside of the actual centralised Oracle based database services. The Database on Demand (DBoD) empowers the user to perform certain actions that had been traditionally done by database administrators, DBA's, providing an enterprise platform for database applications. It also allows the CERN user community to run different database engines, e.g. presently open community version of MySQL and single instance Oracle database server. This article describes a technology approach to face this challenge, a service level agreement, the SLA that the project provides, and an evolution of possible scenarios.

The NASA ASTP Combined-Cycle Propulsion Database Project

NASA Technical Reports Server (NTRS)

Hyde, Eric H.; Escher, Daric W.; Heck, Mary T.; Roddy, Jordan E.; Lyles, Garry (Technical Monitor)

2000-01-01

The National Aeronautics and Space Administration (NASA) communicated its long-term R&D goals for aeronautics and space transportation technologies in its 1997-98 annual progress report (Reference 1). Under "Pillar 3, Goal 9" a 25-year-horizon set of objectives has been stated for the Generation 3 Reusable Launch Vehicle ("Gen 3 RLV") class of space transportation systems. An initiative referred to as "Spaceliner 100" is being conducted to identify technology roadmaps in support of these objectives. Responsibility for running "Spaceliner 100" technology development and demonstration activities have been assigned to NASA's agency-wide Advanced Space Transportation Program (ASTP) office located at the Marshall Space Flight Center. A key technology area in which advances will be required in order to meet these objectives is propulsion. In 1996, in order to expand their focus beyond "allrocket" propulsion systems and technologies (see Appendix A for further discussion), ASTP initiated technology development and demonstration work on combined-cycle airbreathing/rocket propulsion systems (ARTT Contracts NAS8-40890 through 40894). Combined-cycle propulsion (CCP) activities (see Appendix B for definitions) have been pursued in the U.S. for over four decades, resulting in a large documented knowledge base on this subject (see Reference 2). In the fall of 1999 the Combined-Cycle Propulsion Database (CCPD) project was established with the primary purpose of collecting and consolidating CCP related technical information in support of the ASTP's ongoing technology development and demonstration program. Science Applications International Corporation (SAIC) was selected to perform the initial development of the Database under its existing support contract with MSFC (Contract NAS8-99060) because of the company's unique combination of capabilities in database development, information technology (IT) and CCP knowledge. The CCPD is summarized in the descriptive 2-page flyer appended to this paper as Appendix C. The purpose of this paper is to provide the reader with an understanding of the objectives of the CCPD and relate the progress that has been made toward meeting those objectives.

Computerized Design Synthesis (CDS), A database-driven multidisciplinary design tool

NASA Technical Reports Server (NTRS)

Anderson, D. M.; Bolukbasi, A. O.

1989-01-01

The Computerized Design Synthesis (CDS) system under development at McDonnell Douglas Helicopter Company (MDHC) is targeted to make revolutionary improvements in both response time and resource efficiency in the conceptual and preliminary design of rotorcraft systems. It makes the accumulated design database and supporting technology analysis results readily available to designers and analysts of technology, systems, and production, and makes powerful design synthesis software available in a user friendly format.

Extending the data dictionary for data/knowledge management

NASA Technical Reports Server (NTRS)

Hydrick, Cecile L.; Graves, Sara J.

1988-01-01

Current relational database technology provides the means for efficiently storing and retrieving large amounts of data. By combining techniques learned from the field of artificial intelligence with this technology, it is possible to expand the capabilities of such systems. This paper suggests using the expanded domain concept, an object-oriented organization, and the storing of knowledge rules within the relational database as a solution to the unique problems associated with CAD/CAM and engineering data.

Design and implementation of website information disclosure assessment system.

PubMed

Cho, Ying-Chiang; Pan, Jen-Yi

2015-01-01

Internet application technologies, such as cloud computing and cloud storage, have increasingly changed people's lives. Websites contain vast amounts of personal privacy information. In order to protect this information, network security technologies, such as database protection and data encryption, attract many researchers. The most serious problems concerning web vulnerability are e-mail address and network database leakages. These leakages have many causes. For example, malicious users can steal database contents, taking advantage of mistakes made by programmers and administrators. In order to mitigate this type of abuse, a website information disclosure assessment system is proposed in this study. This system utilizes a series of technologies, such as web crawler algorithms, SQL injection attack detection, and web vulnerability mining, to assess a website's information disclosure. Thirty websites, randomly sampled from the top 50 world colleges, were used to collect leakage information. This testing showed the importance of increasing the security and privacy of website information for academic websites.

Disruptive technology in the treatment of thoracic trauma.

PubMed

Smith, R Stephen

2013-12-01

The care of patients with thoracic injuries has undergone monumental change over the past 25 years. Advances in technology have driven improvements in care, with obvious benefits to patients. In many instances, new or "disruptive" technologies have unexpectedly displaced previously established standards for the diagnosis and treatment of these potentially devastating injuries. Examples of disruptive technology include the use of ultrasound technology for the diagnosis of cardiac tamponade and pneumothorax; thoracoscopic techniques instead of thoracotomy, pulmonary tractotomy, and stapled lung resection; endovascular repair of thoracic aortic injury; operative fixation of flail chest; and the enhanced availability of extracorporeal lung support for severe respiratory failure. Surgeons must be prepared to recognize the benefits, and limits, of novel technologies and incorporate these methods into day-to-day treatment protocols. Copyright © 2013 Elsevier Inc. All rights reserved.

The Development of Brain Metastases in Patients with Renal Cell Carcinoma: Epidemiologic Trends, Survival, and Clinical Risk Factors Using a Population-based Cohort.

PubMed

Sun, Maxine; De Velasco, Guillermo; Brastianos, Priscilla K; Aizer, Ayal A; Martin, Allison; Moreira, Raphael; Nguyen, Paul L; Trinh, Quoc-Dien; Choueiri, Toni K

2018-01-05

The incidence of brain metastases (BM) in patients with renal cell carcinoma (RCC) is hypothesized to have increased in the last 2 decades. To define incidence trends according to patient and clinical characteristics, to identify risk factors, and to describe outcomes of patients with BM for RCC. Patients diagnosed with RCC between the years 2010 and 2013 within the Surveillance, Epidemiology, and End Results database. An external validation was also considered using patients diagnosed with RCC between 2010 and 2012 within the National Cancer Database. Incidence proportions of BM were calculated. Risk factors correlated with BM at diagnosis were identified via a 1000-bootstrap corrected multivariable logistic regression model. A risk model was then developed and evaluated using measures of predictive accuracy. Overall survival was examined using Cox regression analyses. The overall incidence proportions of BM at RCC diagnosis was 1.51% (95% confidence interval: 1.39-1.64%). White/other race, clear cell histology, and sarcomatoid differentiation, T2-4 disease, tumor dimension >10 cm, and N+ disease were significantly associated with BM at RCC diagnosis, and retained within the final prediction model. A risk score was created based on these variables (c-index: 0.803). BM at RCC diagnosis occurred in 0.5%, 3.6%, and 7.7% of patients categorized as low risk, intermediate risk, and high risk. Patients with BM were more likely to succumb to any death than those without BM at diagnosis (median overall survival: 6.4 mo vs not reached, respectively, adjusted hazard ratio: 1.87, 95% confidence interval: 1.67-2.08, p < 0.001). The real incidence of BM at RCC diagnosis is likely underestimated given that the observed rate likely reflects patients who presented with symptoms. Patients with BM at RCC have poor oncological outcomes. We have characterized the epidemiology of BM at RCC diagnosis and developed a clinical risk model for the purpose of predicting the development of BMs in patients diagnosed with a cortical renal mass. In this report we examined recent proportions of patients with brain metastases at kidney cancer diagnosis in a large community database originating from the US. We developed a model that may be used during routine clinical practice to predict brain metastases. The urologic-oncological community may consider baseline imaging for brain metastases in patients without any symptoms but at high risk of having brain metastases according to the risk model. However, the proposed model certainly needs further testing and validation in the clinical setting. Future studies on brain metastases survival and treatment options are also needed. Copyright © 2017 European Association of Urology. Published by Elsevier B.V. All rights reserved.

[Practical approach to infection control and antimicrobial stewardship by medical technologists].

PubMed

Komori, Toshiaki; Yamada, Yukiji; Kimura, Takeshi; Kosaka, Tadashi; Nakanishi, Masaki; Fujitomo, Yumiko; Fujita, Naohisa

2013-04-01

Since establishing an antimicrobial management team (AMT) in 2003, we have been promoting both appropriate diagnosis and treatment and improving the prognosis of hospitalized patients with infections. AMT is composed of 4 doctors, 2 nurses, 2 pharmacists and one medical technologist. AMT members meet twice a week and discuss patients with positive blood cultures, with prescribed anti-MRSA drugs and suspected infections. Antimicrobial prescription and clinical laboratory data are obtained from the database of electric medical records and microbiological data from the laboratory database system. The initial step in infection control and antimicrobial stewardship is an accurate diagnosis of infection. Clinical microbiology laboratories play a critical role in infection control and antimicrobial stewardship by reporting accurate and timely results of both bacterial identification and antimicrobial susceptibility tests. Medical technologists are required to develop better competency and proficiency about clinical microbiology in both infection control and antimicrobial stewardship.

Construction of an ortholog database using the semantic web technology for integrative analysis of genomic data.

PubMed

Chiba, Hirokazu; Nishide, Hiroyo; Uchiyama, Ikuo

2015-01-01

Recently, various types of biological data, including genomic sequences, have been rapidly accumulating. To discover biological knowledge from such growing heterogeneous data, a flexible framework for data integration is necessary. Ortholog information is a central resource for interlinking corresponding genes among different organisms, and the Semantic Web provides a key technology for the flexible integration of heterogeneous data. We have constructed an ortholog database using the Semantic Web technology, aiming at the integration of numerous genomic data and various types of biological information. To formalize the structure of the ortholog information in the Semantic Web, we have constructed the Ortholog Ontology (OrthO). While the OrthO is a compact ontology for general use, it is designed to be extended to the description of database-specific concepts. On the basis of OrthO, we described the ortholog information from our Microbial Genome Database for Comparative Analysis (MBGD) in the form of Resource Description Framework (RDF) and made it available through the SPARQL endpoint, which accepts arbitrary queries specified by users. In this framework based on the OrthO, the biological data of different organisms can be integrated using the ortholog information as a hub. Besides, the ortholog information from different data sources can be compared with each other using the OrthO as a shared ontology. Here we show some examples demonstrating that the ortholog information described in RDF can be used to link various biological data such as taxonomy information and Gene Ontology. Thus, the ortholog database using the Semantic Web technology can contribute to biological knowledge discovery through integrative data analysis.

Non-invasive prenatal diagnosis using cell-free fetal DNA technology: applications and implications.

PubMed

Hall, Alison; Bostanci, A; Wright, C F

2010-01-01

Cell-free fetal DNA and RNA circulating in maternal blood can be used for the early non-invasive prenatal diagnosis (NIPD) of an increasing number of genetic conditions, both for pregnancy management and to aid reproductive decision-making. Here we present a brief review of the scientific and clinical status of the technology, and an overview of key ethical, legal and social issues raised by the analysis of cell-free fetal DNA for NIPD. We suggest that the less invasive nature of the technology brings some distinctive issues into focus, such as the possibility of broader uptake of prenatal diagnosis and access to the technology directly by the consumer via the internet, which have not been emphasised in previous work in this area. We also revisit significant issues that are familiar from previous debates about prenatal testing. Since the technology seems to transect existing distinctions between screening and diagnostic tests, there are important implications for the form and process involved in obtaining informed consent or choice. This analysis forms part of the work undertaken by a multidisciplinary group of experts which made recommendations about the implementation of this technology within the UK National Health Service. Copyright 2010 S. Karger AG, Basel.

HC Forum®: a web site based on an international human cytogenetic database

PubMed Central

Cohen, Olivier; Mermet, Marie-Ange; Demongeot, Jacques

2001-01-01

Familial structural rearrangements of chromosomes represent a factor of malformation risk that could vary over a large range, making genetic counseling difficult. However, they also represent a powerful tool for increasing knowledge of the genome, particularly by studying breakpoints and viable imbalances of the genome. We have developed a collaborative database that now includes data on more than 4100 families, from which we have developed a web site called HC Forum® (http://HCForum.imag.fr). It offers geneticists assistance in diagnosis and in genetic counseling by assessing the malformation risk with statistical models. For researchers, interactive interfaces exhibit the distribution of chromosomal breakpoints and of the genome regions observed at birth in trisomy or in monosomy. Dedicated tools including an interactive pedigree allow electronic submission of data, which will be anonymously shown in a forum for discussions. After validation, data are definitively registered in the database with the email of the sender, allowing direct location of biological material. Thus HC Forum® constitutes a link between diagnosis laboratories and genome research centers, and after 1 year, more than 700 users from about 40 different countries already exist. PMID:11125121

Surgical research using national databases

PubMed Central

Leland, Hyuma; Heckmann, Nathanael

2016-01-01

Recent changes in healthcare and advances in technology have increased the use of large-volume national databases in surgical research. These databases have been used to develop perioperative risk stratification tools, assess postoperative complications, calculate costs, and investigate numerous other topics across multiple surgical specialties. The results of these studies contain variable information but are subject to unique limitations. The use of large-volume national databases is increasing in popularity, and thorough understanding of these databases will allow for a more sophisticated and better educated interpretation of studies that utilize such databases. This review will highlight the composition, strengths, and weaknesses of commonly used national databases in surgical research. PMID:27867945

Surgical research using national databases.

PubMed

Alluri, Ram K; Leland, Hyuma; Heckmann, Nathanael

2016-10-01

Recent changes in healthcare and advances in technology have increased the use of large-volume national databases in surgical research. These databases have been used to develop perioperative risk stratification tools, assess postoperative complications, calculate costs, and investigate numerous other topics across multiple surgical specialties. The results of these studies contain variable information but are subject to unique limitations. The use of large-volume national databases is increasing in popularity, and thorough understanding of these databases will allow for a more sophisticated and better educated interpretation of studies that utilize such databases. This review will highlight the composition, strengths, and weaknesses of commonly used national databases in surgical research.

The Design and Product of National 1:1000000 Cartographic Data of Topographic Map

NASA Astrophysics Data System (ADS)

Wang, Guizhi

2016-06-01

National administration of surveying, mapping and geoinformation started to launch the project of national fundamental geographic information database dynamic update in 2012. Among them, the 1:50000 database was updated once a year, furthermore the 1:250000 database was downsized and linkage-updated on the basis. In 2014, using the latest achievements of 1:250000 database, comprehensively update the 1:1000000 digital line graph database. At the same time, generate cartographic data of topographic map and digital elevation model data. This article mainly introduce national 1:1000000 cartographic data of topographic map, include feature content, database structure, Database-driven Mapping technology, workflow and so on.

Analysis of human serum phosphopeptidome by a focused database searching strategy.

PubMed

Zhu, Jun; Wang, Fangjun; Cheng, Kai; Song, Chunxia; Qin, Hongqiang; Hu, Lianghai; Figeys, Daniel; Ye, Mingliang; Zou, Hanfa

2013-01-14

As human serum is an important source for early diagnosis of many serious diseases, analysis of serum proteome and peptidome has been extensively performed. However, the serum phosphopeptidome was less explored probably because the effective method for database searching is lacking. Conventional database searching strategy always uses the whole proteome database, which is very time-consuming for phosphopeptidome search due to the huge searching space resulted from the high redundancy of the database and the setting of dynamic modifications during searching. In this work, a focused database searching strategy using an in-house collected human serum pro-peptidome target/decoy database (HuSPep) was established. It was found that the searching time was significantly decreased without compromising the identification sensitivity. By combining size-selective Ti (IV)-MCM-41 enrichment, RP-RP off-line separation, and complementary CID and ETD fragmentation with the new searching strategy, 143 unique endogenous phosphopeptides and 133 phosphorylation sites (109 novel sites) were identified from human serum with high reliability. Copyright © 2012 Elsevier B.V. All rights reserved.

Enhancing Ear and Hearing Health Access for Children With Technology and Connectivity.

PubMed

Swanepoel, De Wet

2017-10-12

Technology and connectivity advances are demonstrating increasing potential to improve access of service delivery to persons with hearing loss. This article demonstrates use cases from community-based hearing screening and automated diagnosis of ear disease. This brief report reviews recent evidence for school- and home-based hearing testing in underserved communities using smartphone technologies paired with calibrated headphones. Another area of potential impact facilitated by technology and connectivity is the use of feature extraction algorithms to facilitate automated diagnosis of most common ear conditions from video-otoscopic images. Smartphone hearing screening using calibrated headphones demonstrated equivalent sensitivity and specificity for school-based hearing screening. Automating test sequences with a forced-choice response paradigm allowed persons with minimal training to offer screening in underserved communities. The automated image analysis and diagnosis system for ear disease demonstrated an overall accuracy of 80.6%, which is up to par and exceeds accuracy rates previously reported for general practitioners and pediatricians. The emergence of these tools that capitalize on technology and connectivity advances enables affordable and accessible models of service delivery for community-based ear and hearing care.

The health systems' priority setting criteria for selecting health technologies: A systematic review of the current evidence

PubMed Central

Mobinizadeh, Mohammadreza; Raeissi, Pouran; Nasiripour, Amir Ashkan; Olyaeemanesh, Alireza; Tabibi, Seyed Jamaleddin

2016-01-01

Background: In the recent years, using health technologies to diagnose and treat diseases has had a considerable and accelerated growth. The proper use of these technologies may considerably help in the diagnosis and treatment of different diseases. On the other hand, unlimited and unrestricted entry of these technologies may result in induced demand by service providers. The aim of this study was to determine the appropriate criteria used in health technologies priority-setting models in the world. Methods: Using MESH and free text, we sought and retrieved the relevant articles from the most appropriate medical databases (the Cochrane Library, PubMed and Scopus) through three separate search strategies up to March 2015. The inclusion criteria were as follows: 1) Studies with specific criteria; 2) Articles written in English; 3) Those articles conducted in compliance with priority setting of health technologies. Data were analyzed qualitatively using a thematic synthesis technique. Results: After screening the retrieved papers via PRISMA framework, from the 7,012 papers, 40 studies were included in the final phase. Criteria for selecting health technologies (in pre assessment and in the assessment phase) were categorized into six main themes: 1) Health outcomes; 2) Disease and target population; 3) Technology alternatives; 4) Economic aspects; 5) Evidence; 6) and other factors. "Health effects/benefits" had the maximum frequency in health outcomes (8 studies); "disease severity" had the maximum frequency in disease and target population (12 studies); "the number of alternatives" had the maximum frequency in alternatives (2 studies); "cost-effectiveness" had the maximum frequency in economic aspects (15 studies); "quality of evidence" had the maximum frequency in evidence (4 studies); and "issues concerning the health system" had the maximum frequency in other factors (10 studies). Conclusion: The results revealed an increase in the number of studies on health technologies priority setting around the world, and emphasized the necessity of application of a multi- criteria approach for appropriate decision making about healthcare technologies in the health systems. PMID:27390699

Methods for Real-Time PCR-Based Diagnosis of Chlamydia pneumoniae, Chlamydia psittaci, and Chlamydia abortus Infections in an Opened Molecular Diagnostic Platform.

PubMed

Opota, Onya; Brouillet, René; Greub, Gilbert; Jaton, Katia

2017-01-01

The advances in molecular biology of the last decades have dramatically improved the field of diagnostic bacteriology. In particular, PCR-based technologies have impacted the diagnosis of infections caused by obligate intracellular bacteria such as pathogens from the Chlamydiacae family. Here, we describe a real-time PCR-based method using the Taqman technology for the diagnosis of Chlamydia pneumoniae, Chlamydia psittaci, and Chlamydia abortus infection. The method presented here can be applied to various clinical samples and can be adapted on opened molecular diagnostic platforms.

Sensing Technologies for Autism Spectrum Disorder Screening and Intervention

PubMed Central

Cabibihan, John-John; Javed, Hifza; Aldosari, Mohammed; Frazier, Thomas W.; Elbashir, Haitham

2016-01-01

This paper reviews the state-of-the-art in sensing technologies that are relevant for Autism Spectrum Disorder (ASD) screening and therapy. This disorder is characterized by difficulties in social communication, social interactions, and repetitive behaviors. It is diagnosed during the first three years of life. Early and intensive interventions have been shown to improve the developmental trajectory of the affected children. The earlier the diagnosis, the sooner the intervention therapy can begin, thus, making early diagnosis an important research goal. Technological innovations have tremendous potential to assist with early diagnosis and improve intervention programs. The need for careful and methodological evaluation of such emerging technologies becomes important in order to assist not only the therapists and clinicians in their selection of suitable tools, but to also guide the developers of the technologies in improving hardware and software. In this paper, we survey the literatures on sensing technologies for ASD and we categorize them into eye trackers, movement trackers, electrodermal activity monitors, tactile sensors, vocal prosody and speech detectors, and sleep quality assessment devices. We assess their effectiveness and study their limitations. We also examine the challenges faced by this growing field that need to be addressed before these technologies can perform up to their theoretical potential. PMID:28036004

Contaminants in blood cultures: importance, implications, interpretation and prevention.

PubMed

Dargère, S; Cormier, H; Verdon, R

2018-04-03

Despite the development of new microbiologic technologies, blood cultures (BCs) remain the first-line tool for the diagnosis of bloodstream infections. Their diagnostic value may be affected when a microorganism of questionable evidence is isolated-for example, coagulase-negative staphylococci, Bacillus spp., viridans group streptococci, Corynebacterium spp., Propionibacterium spp. and Micrococcus spp. Finally, making a correct diagnosis of pathogenicity (vs. contamination) is challenging. To review the current ways of dealing with the problem of BC contaminants (BCCs) and to provide practical suggestions to decrease BCC rates. PubMed electronic databases and existing reviews were searched up to December 2017 to retrieve relevant publications related to the topic. This review describes the burden of BCC and analyses the main current issues and controversies in interpreting the occurrence of potential BC contaminants. It focuses on the best-described approaches to decide whether BCC is present and discusses the different strategies of prevention in adults. Each institution should have an efficient policy to prevent BCC, emphasizing the importance of following guidelines for prescribing and collecting BCs. Training healthcare workers should focus on detrimental influence on patient care and highlight the work and costs due to contaminants. The accurate differentiation of a contaminant from a true pathogen relies on a multidisciplinary approach and the clinical judgement of experienced practitioners. Copyright © 2018 European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. All rights reserved.

Multicenter evaluation of signalment and comorbid conditions associated with aortic thrombotic disease in dogs.

PubMed

Winter, Randolph L; Budke, Christine M

2017-08-15

OBJECTIVE To assess signalment and concurrent disease processes in dogs with aortic thrombotic disease (ATD). DESIGN Retrospective case-control study. ANIMALS Dogs examined at North American veterinary teaching hospitals from 1985 through 2011 with medical records submitted to the Veterinary Medical Database. PROCEDURES Medical records were reviewed to identify dogs with a diagnosis of ATD (case dogs). Five control dogs without a diagnosis of ATD were then identified for every case dog. Data were collected regarding dog age, sex, breed, body weight, and concurrent disease processes. RESULTS ATD was diagnosed in 291 of the 984,973 (0.03%) dogs included in the database. The odds of a dog having ATD did not differ significantly by sex, age, or body weight. Compared with mixed-breed dogs, Shetland Sheepdogs had a significantly higher odds of ATD (OR, 2.59). Protein-losing nephropathy (64/291 [22%]) was the most commonly recorded concurrent disease in dogs with ATD. CONCLUSIONS AND CLINICAL RELEVANCE Dogs with ATD did not differ significantly from dogs without ATD in most signalment variables. Contrary to previous reports, cardiac disease was not a common concurrent diagnosis in dogs with ATD.

Bacterial identification in real samples by means of micro-Raman spectroscopy

NASA Astrophysics Data System (ADS)

Rösch, Petra; Stöckel, Stephan; Meisel, Susann; Bossecker, Anja; Münchberg, Ute; Kloss, Sandra; Schumacher, Wilm; Popp, Jürgen

2011-07-01

Pathogen detection is essential without time delay especially for severe diseases like sepsis. Here, the survival rate is dependent on a prompt antibiosis. For sepsis three hours after the onset of shock the survival rate of the patient drops below 60 %. Unfortunately, the results from standard diagnosis methods like PCR or microbiology can normally be received after 12 or 36 h, respectively. Therefore diagnosis methods which require less cultivation or even no cultivation at all have to be established for medical diagnosis. Here, Raman spectroscopy, as a vibrational spectroscopic method, is a very sensitive and selective approach and monitors the biochemical composition of the investigated sample. Applying micro-Raman spectroscopy allows for a spatial resolution below 1 μm and is therefore in the size range of bacteria. Raman spectra of bacteria depend on the physiological status. Therefore, the databases require the inclusion of the necessary environmental parameters such as temperature, pH, nutrition, etc. Such large databases therefore require a specialized chemometric approach, since the variation between different strains is small. In this contribution we will demonstrate the capability of Raman spectroscopy to identify pathogens without cultivation even from real environmental or medical samples.

Naturally Occurring Human Urinary Peptides for Use in Diagnosis of Chronic Kidney Disease*

PubMed Central

Good, David M.; Zürbig, Petra; Argilés, Àngel; Bauer, Hartwig W.; Behrens, Georg; Coon, Joshua J.; Dakna, Mohammed; Decramer, Stéphane; Delles, Christian; Dominiczak, Anna F.; Ehrich, Jochen H. H.; Eitner, Frank; Fliser, Danilo; Frommberger, Moritz; Ganser, Arnold; Girolami, Mark A.; Golovko, Igor; Gwinner, Wilfried; Haubitz, Marion; Herget-Rosenthal, Stefan; Jankowski, Joachim; Jahn, Holger; Jerums, George; Julian, Bruce A.; Kellmann, Markus; Kliem, Volker; Kolch, Walter; Krolewski, Andrzej S.; Luppi, Mario; Massy, Ziad; Melter, Michael; Neusüss, Christian; Novak, Jan; Peter, Karlheinz; Rossing, Kasper; Rupprecht, Harald; Schanstra, Joost P.; Schiffer, Eric; Stolzenburg, Jens-Uwe; Tarnow, Lise; Theodorescu, Dan; Thongboonkerd, Visith; Vanholder, Raymond; Weissinger, Eva M.; Mischak, Harald; Schmitt-Kopplin, Philippe

2010-01-01

Because of its availability, ease of collection, and correlation with physiology and pathology, urine is an attractive source for clinical proteomics/peptidomics. However, the lack of comparable data sets from large cohorts has greatly hindered the development of clinical proteomics. Here, we report the establishment of a reproducible, high resolution method for peptidome analysis of naturally occurring human urinary peptides and proteins, ranging from 800 to 17,000 Da, using samples from 3,600 individuals analyzed by capillary electrophoresis coupled to MS. All processed data were deposited in an Structured Query Language (SQL) database. This database currently contains 5,010 relevant unique urinary peptides that serve as a pool of potential classifiers for diagnosis and monitoring of various diseases. As an example, by using this source of information, we were able to define urinary peptide biomarkers for chronic kidney diseases, allowing diagnosis of these diseases with high accuracy. Application of the chronic kidney disease-specific biomarker set to an independent test cohort in the subsequent replication phase resulted in 85.5% sensitivity and 100% specificity. These results indicate the potential usefulness of capillary electrophoresis coupled to MS for clinical applications in the analysis of naturally occurring urinary peptides. PMID:20616184

Diagnosis of Acute Gout: A Clinical Practice Guideline From the American College of Physicians.

PubMed

Qaseem, Amir; McLean, Robert M; Starkey, Melissa; Forciea, Mary Ann

2017-01-03

The American College of Physicians (ACP) developed this guideline to present the evidence and provide clinical recommendations on the diagnosis of gout. This guideline is based on a systematic review of published studies on gout diagnosis, identified using several databases, from database inception to February 2016. Evaluated outcomes included the accuracy of the test results; intermediate outcomes (results of laboratory and radiographic tests, such as serum urate and synovial fluid crystal analysis and radiographic or ultrasonography changes); clinical decision making (additional testing and pharmacologic or dietary management); short-term clinical (patient-centered) outcomes, such as pain and joint swelling and tenderness; and adverse effects of the tests. This guideline grades the evidence and recommendations by using the ACP grading system, which is based on the GRADE (Grading of Recommendations Assessment, Development and Evaluation) method. The target audience for this guideline includes all clinicians, and the target patient population includes adults with joint inflammation suspected to be gout. ACP recommends that clinicians use synovial fluid analysis when clinical judgment indicates that diagnostic testing is necessary in patients with possible acute gout. (Grade: weak recommendation, low-quality evidence).

The Changing Impact of Gastroesophageal Reflux Disease in Clinical Practice.

PubMed

Akst, Lee M; Haque, Omar J; Clarke, John O; Hillel, Alexander T; Best, Simon R A; Altman, Kenneth W

2017-03-01

The National Ambulatory Medical Care Survey (NAMCS) database was utilized to understand evolving national trends in diagnosis and management of reflux. The NAMCS database was queried for visits related to gastroesophageal reflux diagnosis and management. Analysis performed for time periods 1998-2001, 2002-2005, and 2006-2009 was weighted to provide national estimates of care. Results were compared to previously reported time periods from 1990 to 2001 to evaluate patterns in overall visits, age and ethnicity of patients, provider type, and prescriptions provided. The number of ambulatory visits for reflux increased from 8 684 000 in 1998-2001 to 15 750 000 in 2006-2009. Visits increased across each time period for internal medicine, family, and gastroenterology physicians. Among otolaryngologists, absolute visits increased from 1998-2001 to 2002-2005 but decreased in 2006-2009; difference between these time periods did not reach statistical significance. From 1998-2001 to 2006-2009, reflux medication use increased 233%, with continuing trends toward increased proton pump inhibitor use. Reflux visits have increased across all demographic subgroups studied. Knowledge of these trends may inform further paradigm shifts in diagnosis and management of reflux.

Plantar fasciitis in athletes: diagnostic and treatment strategies. A systematic review

PubMed Central

Petraglia, Federica; Ramazzina, Ileana; Costantino, Cosimo

2017-01-01

Summary Background: Plantar fasciitis (PF) is reported in different sports mainly in running and soccer athletes. Purpose of this study is to conduct a systematic review of published literature concerning the diagnosis and treatment of PF in both recreational and élite athletes. The review was conducted and reported in accordance with the PRISMA statement. Methods: The following electronic databases were searched: PubMed, Cochrane Library and Scopus. As far as PF diagnosis, we investigated the electronic databases from January 2006 to June 2016, whereas in considering treatments all data in literature were investigated. Results: For both diagnosis and treatment, 17 studies matched inclusion criteria. The results have highlighted that the most frequently used diagnostic techniques were Ultrasonography and Magnetic Resonance Imaging. Conventional, complementary, and alternative treatment approaches were assessed. Conclusions: In reviewing literature, we were unable to find any specific diagnostic algorithm for PF in athletes, due to the fact that no different diagnostic strategies were used for athletes and non-athletes. As for treatment, a few literature data are available and it makes difficult to suggest practice guidelines. Specific studies are necessary to define the best treatment algorithm for both recreational and élite athletes. Level of evidence: Ib. PMID:28717618

Clinical applications of dynamic infrared thermography in plastic surgery: a systematic review

PubMed Central

John, Hannah Eliza; Niumsawatt, Vachara; Whitaker, Iain S.

2016-01-01

Background Infrared thermography (IRT) has become an increasingly utilized adjunct to more expensive and/or invasive investigations in a range of surgical fields, no more so than in plastic surgery. The combination of functional assessment, flow characteristics and anatomical localization has led to increasing applications of this technology. This article aims to perform a systematic review of the clinical applications of IRT in plastic surgery. Methods A systematic literature search using the keywords ‘IRT’ and ‘dynamic infrared thermography (DIRT)’ has been accomplished. A total of 147 papers were extracted from various medical databases, of which 34 articles were subjected to a full read by two independent reviewers, to ensure the papers satisfied the inclusion and exclusion criteria. Studies focusing on the use of IRT in breast cancer diagnosis were excluded. Results A systematic review of 29 publications demonstrated the clinical applications of IRT in plastic surgery today. They include preoperative planning of perforators for free flaps, post operative monitoring of free flaps, use of IRT as an adjunct in burns depth analysis, in assessment of response to treatment in hemangioma and as a diagnostic test for cutaneous melanoma and carpal tunnel syndrome (CTS). Conclusions Modern infrared imaging technology with improved standardization protocols is now a credible, useful non-invasive tool in clinical practice. PMID:27047781

Innovative newborn health technology for resource-limited environments.

PubMed

Thairu, L; Wirth, M; Lunze, K

2013-01-01

To review medical devices addressing newborn health in resource-poor settings, and to identify existing and potential barriers to their actual and efficient use in these settings. We searched Pubmed as our principal electronic reference library and dedicated databases such as Maternova and the Maternal and Neonatal Directed Assessment of Technology. We also researched standard public search engines. Studies and grey literature reports describing devices for use in a low- or middle-income country context were eligible for inclusion. Few devices are currently described in the peer-reviewed medical or public health literature. The majority of newborn-specific devices were found in the grey literature. Most sources described infant warmers, neonatal resuscitators, and phototherapy devices. Other devices address the diagnosis of infectious diseases, monitoring of oxygen saturation, assisted ventilation, prevention of mother-to-child transmission of HIV, assisted childbirth, weight or temperature assessment, and others. Many medical devices designed for newborns in the developing world are under development or in the early stages of production, but the vast majority of them are not available when and where they are needed. Making them available to mothers, newborns, and birth attendants in resource-limited countries at the time and place of birth will require innovative and creative production, distribution, and implementation approaches. © 2012 Blackwell Publishing Ltd.

Patient-based radiographic exposure factor selection: a systematic review

DOE Office of Scientific and Technical Information (OSTI.GOV)

Ching, William; Robinson, John; McEntee, Mark, E-mail: mark.mcentee@sydney.edu.au

Digital technology has wider exposure latitude and post-processing algorithms which can mask the evidence of underexposure and overexposure. Underexposure produces noisy, grainy images which can impede diagnosis and overexposure results in a greater radiation dose to the patient. These exposure errors can result from inaccurate adjustment of exposure factors in response to changes in patient thickness. This study aims to identify all published radiographic exposure adaptation systems which have been, or are being, used in general radiography and discuss their applicability to digital systems. Studies in EMBASE, MEDLINE, CINAHL and SCOPUS were systematically reviewed. Some of the search terms usedmore » were exposure adaptation, exposure selection, exposure technique, 25% rule, 15% rule, DuPont™ Bit System and radiography. A manual journal-specific search was also conducted in The Radiographer and Radiologic Technology. Studies were included if they demonstrated a system of altering exposure factors to compensate for variations in patients for general radiography. Studies were excluded if they focused on finding optimal exposures for an ‘average’ patient or focused on the relationship between exposure factors and dose. The database search uncovered 11 articles and the journal-specific search uncovered 13 articles discussing systems of exposure adaptation. They can be categorised as simple one-step guidelines, comprehensive charts and computer programs. Only two papers assessed the efficacy of exposure adjustment systems. No literature compares the efficacy of exposure adaptations system for film/screen radiography with digital radiography technology nor is there literature on a digital specific exposure adaptation system.« less

Distributed Episodic Exploratory Planning (DEEP)

DTIC Science & Technology

2008-12-01

API). For DEEP, Hibernate offered the following advantages: • Abstracts SQL by utilizing HQL so any database with a Java Database Connectivity... Hibernate SQL ICCRTS International Command and Control Research and Technology Symposium JDB Java Distributed Blackboard JDBC Java Database Connectivity...selected because of its opportunistic reasoning capabilities and implemented in Java for platform independence. Java was chosen for ease of

An Examination of Job Skills Posted on Internet Databases: Implications for Information Systems Degree Programs.

ERIC Educational Resources Information Center

Liu, Xia; Liu, Lai C.; Koong, Kai S.; Lu, June

2003-01-01

Analysis of 300 information technology job postings in two Internet databases identified the following skill categories: programming languages (Java, C/C++, and Visual Basic were most frequent); website development (57% sought SQL and HTML skills); databases (nearly 50% required Oracle); networks (only Windows NT or wide-area/local-area networks);…

New data sources and derived products for the SRER digital spatial database

Treesearch

Craig Wissler; Deborah Angell

2003-01-01

The Santa Rita Experimental Range (SRER) digital database was developed to automate and preserve ecological data and increase their accessibility. The digital data holdings include a spatial database that is used to integrate ecological data in a known reference system and to support spatial analyses. Recently, the Advanced Resource Technology (ART) facility has added...

Applying Cognitive Load Theory to the Redesign of a Conventional Database Systems Course

ERIC Educational Resources Information Center

Mason, Raina; Seton, Carolyn; Cooper, Graham

2016-01-01

Cognitive load theory (CLT) was used to redesign a Database Systems course for Information Technology students. The redesign was intended to address poor student performance and low satisfaction, and to provide a more relevant foundation in database design and use for subsequent studies and industry. The original course followed the conventional…

Common Database Interface for Heterogeneous Software Engineering Tools.

DTIC Science & Technology

1987-12-01

SUB-GROUP Database Management Systems ;Programming(Comuters); 1e 05 Computer Files;Information Transfer;Interfaces; 19. ABSTRACT (Continue on reverse...Air Force Institute of Technology Air University In Partial Fulfillment of the Requirements for the Degree of Master of Science in Information Systems ...Literature ..... 8 System 690 Configuration ......... 8 Database Functionis ............ 14 Software Engineering Environments ... 14 Data Manager

Charting the Progress

ERIC Educational Resources Information Center

CURRENTS, 2010

2010-01-01

Advancement technology is reshaping the business of fundraising, alumni relations, communications, and marketing. Through all of these innovations, the backbone of advancement systems remains the constituent database. This article takes a look at advancement databases that track constituent data.

Comparison of Texture Features Used for Classification of Life Stages of Malaria Parasite.

PubMed

Bairagi, Vinayak K; Charpe, Kshipra C

2016-01-01

Malaria is a vector borne disease widely occurring at equatorial region. Even after decades of campaigning of malaria control, still today it is high mortality causing disease due to improper and late diagnosis. To prevent number of people getting affected by malaria, the diagnosis should be in early stage and accurate. This paper presents an automatic method for diagnosis of malaria parasite in the blood images. Image processing techniques are used for diagnosis of malaria parasite and to detect their stages. The diagnosis of parasite stages is done using features like statistical features and textural features of malaria parasite in blood images. This paper gives a comparison of the textural based features individually used and used in group together. The comparison is made by considering the accuracy, sensitivity, and specificity of the features for the same images in database.

The Camden & Islington Research Database: Using electronic mental health records for research.

PubMed

Werbeloff, Nomi; Osborn, David P J; Patel, Rashmi; Taylor, Matthew; Stewart, Robert; Broadbent, Matthew; Hayes, Joseph F

2018-01-01

Electronic health records (EHRs) are widely used in mental health services. Case registers using EHRs from secondary mental healthcare have the potential to deliver large-scale projects evaluating mental health outcomes in real-world clinical populations. We describe the Camden and Islington NHS Foundation Trust (C&I) Research Database which uses the Clinical Record Interactive Search (CRIS) tool to extract and de-identify routinely collected clinical information from a large UK provider of secondary mental healthcare, and demonstrate its capabilities to answer a clinical research question regarding time to diagnosis and treatment of bipolar disorder. The C&I Research Database contains records from 108,168 mental health patients, of which 23,538 were receiving active care. The characteristics of the patient population are compared to those of the catchment area, of London, and of England as a whole. The median time to diagnosis of bipolar disorder was 76 days (interquartile range: 17-391) and median time to treatment was 37 days (interquartile range: 5-194). Compulsory admission under the UK Mental Health Act was associated with shorter intervals to diagnosis and treatment. Prior diagnoses of other psychiatric disorders were associated with longer intervals to diagnosis, though prior diagnoses of schizophrenia and related disorders were associated with decreased time to treatment. The CRIS tool, developed by the South London and Maudsley NHS Foundation Trust (SLaM) Biomedical Research Centre (BRC), functioned very well at C&I. It is reassuring that data from different organizations deliver similar results, and that applications developed in one Trust can then be successfully deployed in another. The information can be retrieved in a quicker and more efficient fashion than more traditional methods of health research. The findings support the secondary use of EHRs for large-scale mental health research in naturalistic samples and settings investigated across large, diverse geographical areas.

White matter hyperintensities and cerebral amyloidosis: necessary and sufficient for clinical expression of Alzheimer disease?

PubMed

Provenzano, Frank A; Muraskin, Jordan; Tosto, Giuseppe; Narkhede, Atul; Wasserman, Ben T; Griffith, Erica Y; Guzman, Vanessa A; Meier, Irene B; Zimmerman, Molly E; Brickman, Adam M

2013-04-01

Current hypothetical models emphasize the importance of β-amyloid in Alzheimer disease (AD) pathogenesis, although amyloid alone is not sufficient to account for the dementia syndrome. The impact of small-vessel cerebrovascular disease, visualized as white matter hyperintensities (WMHs) on magnetic resonance imaging scans, may be a key factor that contributes independently to AD presentation. To determine the impact of WMHs and Pittsburgh Compound B (PIB) positron-emission tomography-derived amyloid positivity on the clinical expression of AD. Baseline PIB-positron-emission tomography values were downloaded from the Alzheimer's Disease Neuroimaging Initiative database. Total WMH volume was derived on accompanying structural magnetic resonance imaging data. We examined whether PIB positivity and total WMHs predicted diagnostic classification of patients with AD (n = 20) and control subjects (n = 21). A second analysis determined whether WMHs discriminated between those with and without the clinical diagnosis of AD among those who were classified as PIB positive (n = 28). A third analysis examined whether WMHs, in addition to PIB status, could be used to predict future risk for AD among subjects with mild cognitive impairment (n = 59). The Alzheimer's Disease Neuroimaging Initiative public database. The study involved data from 21 normal control subjects, 59 subjects with mild cognitive impairment, and 20 participants with clinically defined AD from the Alzheimer Disease's Neuroimaging Initiative database. Clinical AD diagnosis and WMH volume. Pittsburgh Compound B positivity and increased total WMH volume independently predicted AD diagnosis. Among PIB-positive subjects, those diagnosed as having AD had greater WMH volume than normal control subjects. Among subjects with mild cognitive impairment, both WMH and PIB status at baseline conferred risk for future diagnosis of AD. White matter hyperintensities contribute to the presentation of AD and, in the context of significant amyloid deposition, may provide a second hit necessary for the clinical manifestation of the disease. As risk factors for the development of WMHs are modifiable, these findings suggest intervention and prevention strategies for the clinical syndrome of AD.

The epidemiology and burden of Alzheimer’s disease in Taiwan utilizing data from the National Health Insurance Research Database

PubMed Central

Hung, Yen-Ni; Kadziola, Zbigniew; Brnabic, Alan JM; Yeh, Ju-Fen; Fuh, Jong-Ling; Hwang, Jen-Ping; Montgomery, William

2016-01-01

Purpose The objectives of this study were to estimate the incidence, cumulative incidence, and economic burden of Alzheimer’s disease (AD) in Taiwan, using data from the National Health Insurance Research Database (NHIRD). Materials and methods This was a retrospective, longitudinal, observational study using data from the Longitudinal Health Insurance Database of the NHIRD. Patients were included in this study if they were 50 years of age or older and their records included a primary or secondary diagnosis of AD. New patients who met inclusion criteria were followed up longitudinally from 2005 to 2010. Costs were calculated for the first year following the diagnosis of AD. Results Overall, a higher percentage of women than men were diagnosed with AD (54% vs 46%, respectively). The first AD diagnosis occurred most frequently in the age of 75–84 years. The person-year incidence rate increased from 5.63/1,000 persons (95% CI, 5.32–5.94) in 2005 to 8.17/1,000 persons (95% CI, 7.78–8.57) in 2010. The cumulative incidence rate was 33.54/1,000 persons (95% CI, 32.76–34.33) in 2005–2010. The total mean inflated annual costs per patient in new Taiwan dollars (NT$) in the first year of diagnosis ranged from NT$205,413 (2009) to NT$227,110 (2005), with hospitalization representing the largest component. Conclusion AD represents a substantial burden in Taiwan, and based on the observed increase in incidence rate over time, it is likely that this burden will continue to increase. The findings reported here are consistent with previous research. The NHIRD contains extensive real-world information that can be used to conduct research, allowing us to expand our understanding of the incidence, prevalence, and burden of disease in Taiwan. PMID:27536149

Efficient data management tools for the heterogeneous big data warehouse

NASA Astrophysics Data System (ADS)

Alekseev, A. A.; Osipova, V. V.; Ivanov, M. A.; Klimentov, A.; Grigorieva, N. V.; Nalamwar, H. S.

2016-09-01

The traditional RDBMS has been consistent for the normalized data structures. RDBMS served well for decades, but the technology is not optimal for data processing and analysis in data intensive fields like social networks, oil-gas industry, experiments at the Large Hadron Collider, etc. Several challenges have been raised recently on the scalability of data warehouse like workload against the transactional schema, in particular for the analysis of archived data or the aggregation of data for summary and accounting purposes. The paper evaluates new database technologies like HBase, Cassandra, and MongoDB commonly referred as NoSQL databases for handling messy, varied and large amount of data. The evaluation depends upon the performance, throughput and scalability of the above technologies for several scientific and industrial use-cases. This paper outlines the technologies and architectures needed for processing Big Data, as well as the description of the back-end application that implements data migration from RDBMS to NoSQL data warehouse, NoSQL database organization and how it could be useful for further data analytics.

Planned and ongoing projects (pop) database: development and results.

PubMed

Wild, Claudia; Erdös, Judit; Warmuth, Marisa; Hinterreiter, Gerda; Krämer, Peter; Chalon, Patrice

2014-11-01

The aim of this study was to present the development, structure and results of a database on planned and ongoing health technology assessment (HTA) projects (POP Database) in Europe. The POP Database (POP DB) was set up in an iterative process from a basic Excel sheet to a multifunctional electronic online database. The functionalities, such as the search terminology, the procedures to fill and update the database, the access rules to enter the database, as well as the maintenance roles, were defined in a multistep participatory feedback loop with EUnetHTA Partners. The POP Database has become an online database that hosts not only the titles and MeSH categorizations, but also some basic information on status and contact details about the listed projects of EUnetHTA Partners. Currently, it stores more than 1,200 planned, ongoing or recently published projects of forty-three EUnetHTA Partners from twenty-four countries. Because the POP Database aims to facilitate collaboration, it also provides a matching system to assist in identifying similar projects. Overall, more than 10 percent of the projects in the database are identical both in terms of pathology (indication or disease) and technology (drug, medical device, intervention). In addition, approximately 30 percent of the projects are similar, meaning that they have at least some overlap in content. Although the POP DB is successful concerning regular updates of most national HTA agencies within EUnetHTA, little is known about its actual effects on collaborations in Europe. Moreover, many non-nationally nominated HTA producing agencies neither have access to the POP DB nor can share their projects.

Does filler database size influence identification accuracy?

PubMed

Bergold, Amanda N; Heaton, Paul

2018-06-01

Police departments increasingly use large photo databases to select lineup fillers using facial recognition software, but this technological shift's implications have been largely unexplored in eyewitness research. Database use, particularly if coupled with facial matching software, could enable lineup constructors to increase filler-suspect similarity and thus enhance eyewitness accuracy (Fitzgerald, Oriet, Price, & Charman, 2013). However, with a large pool of potential fillers, such technologies might theoretically produce lineup fillers too similar to the suspect (Fitzgerald, Oriet, & Price, 2015; Luus & Wells, 1991; Wells, Rydell, & Seelau, 1993). This research proposes a new factor-filler database size-as a lineup feature affecting eyewitness accuracy. In a facial recognition experiment, we select lineup fillers in a legally realistic manner using facial matching software applied to filler databases of 5,000, 25,000, and 125,000 photos, and find that larger databases are associated with a higher objective similarity rating between suspects and fillers and lower overall identification accuracy. In target present lineups, witnesses viewing lineups created from the larger databases were less likely to make correct identifications and more likely to select known innocent fillers. When the target was absent, database size was associated with a lower rate of correct rejections and a higher rate of filler identifications. Higher algorithmic similarity ratings were also associated with decreases in eyewitness identification accuracy. The results suggest that using facial matching software to select fillers from large photograph databases may reduce identification accuracy, and provides support for filler database size as a meaningful system variable. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Use of personal phones by senior nursing students to access health care information during clinical education: staff nurses' and students' perceptions.

PubMed

Wittmann-Price, Ruth A; Kennedy, Lynn D; Godwin, Catherine

2012-11-01

Research indicates that having electronic resources readily available increases learners' ability to make clinical decisions and confidence in patient care. This mixed-method, descriptive pilot study collected data about senior prelicensure nursing students using smartphones, a type of mobile electronic device (MED), in the clinical area. The smartphones contained nursing diagnosis, pharmacology, and laboratory information; an encyclopedia; and the MEDLINE database. Student (n = 7) data about smartphone use during a 10-week clinical rotation were collected via student-recorded usage logs and focus group recordings. Staff nurses' (n = 5) perceptions of students' use of smartphones for clinical educational resources were collected by anonymous survey. Both the focus group transcript and staff surveys were evaluated and the themes summarized by content analysis. Positive results and barriers to use, such as cost and technological comfort levels, are discussed. The results may help nurse educators and administrators initiate further research of MEDs as a clinical resource. Copyright 2012, SLACK Incorporated.

A web application to support telemedicine services in Brazil.

PubMed

Barbosa, Ana Karina P; de A Novaes, Magdala; de Vasconcelos, Alexandre M L

2003-01-01

This paper describes a system that has been developed to support Telemedicine activities in Brazil, a country that has serious problems in the delivery of health services. The system is a part of the broader Tele-health Project that has been developed to make health services more accessible to the low-income population in the northeast region. The HealthNet system is based upon a pilot area that uses fetal and pediatric cardiology. This article describes both the system's conceptual model, including the tele-diagnosis and second medical opinion services, as well as its architecture and development stages. The system model describes both collaborating tools used asynchronously, such as discussion forums, and synchronous tools, such as videoconference services. Web and free-of-charge tools are utilized for implementation, such as Java and MySQL database. Furthermore, an interface with Electronic Patient Record (EPR) systems using Extended Markup Language (XML) technology is also proposed. Finally, considerations concerning the development and implementation process are presented.

Telemedicine in Gastroenterohepatology

PubMed Central

Zildzic, Muharem; Salihefendic, Nizama; Krupic, Ferid; Beganovic, Emina; Zunic, Lejla; Masic, Izet

2014-01-01

Telemedicine itself is not the medical profession, it is not a medical specialty, but the way in which the medical profession conduct its activity. Therefore we are talking about tele otorhinolaryngology, tele cardiology or tele pathology. In the definition of a multitude of telemedicine that can be found in the literature is the following: Telemedicine is a system that supports the process of health care by providing ways and means for more efficient exchange of information that allows multitude of activities related to health care, including health care and health personnel, including education, administration and treatment. Telemedicine applications include tele diagnosis, tele consultation, tele monitoring, tele-care, tele consultations and remote access to information contained in one or more databases. It turned out that telemedicine is an important factor in technological, professional, financial and organizational uniformity of development of the health system. Telemedicine, although a new area, to a large extent already changed the ways of providing health care, and even more influence on the ways of designing the future of medicine. PMID:25395732

A systematic review of validated methods for identifying patients with rheumatoid arthritis using administrative or claims data.

PubMed

Chung, Cecilia P; Rohan, Patricia; Krishnaswami, Shanthi; McPheeters, Melissa L

2013-12-30

To review the evidence supporting the validity of billing, procedural, or diagnosis code, or pharmacy claim-based algorithms used to identify patients with rheumatoid arthritis (RA) in administrative and claim databases. We searched the MEDLINE database from 1991 to September 2012 using controlled vocabulary and key terms related to RA and reference lists of included studies were searched. Two investigators independently assessed the full text of studies against pre-determined inclusion criteria and extracted the data. Data collected included participant and algorithm characteristics. Nine studies reported validation of computer algorithms based on International Classification of Diseases (ICD) codes with or without free-text, medication use, laboratory data and the need for a diagnosis by a rheumatologist. These studies yielded positive predictive values (PPV) ranging from 34 to 97% to identify patients with RA. Higher PPVs were obtained with the use of at least two ICD and/or procedure codes (ICD-9 code 714 and others), the requirement of a prescription of a medication used to treat RA, or requirement of participation of a rheumatologist in patient care. For example, the PPV increased from 66 to 97% when the use of disease-modifying antirheumatic drugs and the presence of a positive rheumatoid factor were required. There have been substantial efforts to propose and validate algorithms to identify patients with RA in automated databases. Algorithms that include more than one code and incorporate medications or laboratory data and/or required a diagnosis by a rheumatologist may increase the PPV. Copyright © 2013 Elsevier Ltd. All rights reserved.

Analysis of Diagnoses Associated with Multiple Sclerosis–Related In-Hospital Mortality Using the Premier Hospital Database

PubMed Central

Pocoski, Jennifer; Cutter, Gary; Kaufman, David W.; Pleimes, Dirk

2016-01-01

Background: We sought to compare mortality rates and related diagnoses in hospitalized patients with multiple sclerosis (MS), those with diabetes mellitus (DM), and the general hospitalized population (GHP). Methods: Patients who died between 2007 and 2011 were identified in the US hospital–based Premier Healthcare Database. Demographic information was collected, mortality rates calculated, and principal diagnoses categorized. Results: Of 55,152 unique patients with MS identified, 1518 died. Mean age at death was 10 years younger for the MS group (63.4 years) than for the DM (73.3 years) and GHP (73.1 years) groups. Age-adjusted mortality rates, based on the 2000 US Standard Million Population, were 1077, 1248, and 1133 per 100,000, respectively. Infection was the most common principal diagnosis at the hospital stay during which the patient died in the MS cohort (43.1% vs. 26.3% and 24.0% in the DM and GHP groups, respectively). Other common principal diagnoses in the MS group included pulmonary (17.5%) and cardiovascular (12.1%) disease. Septicemia/sepsis/septic shock was a secondary diagnosis for 50.7% of patients with MS versus 36.0% and 31.0% of patients in the DM and GHP cohorts, respectively. Conclusions: Patients with MS had a shorter life span than patients with DM or the GHP and were more likely to have a principal diagnosis of infection at their final hospital stay. However, the database was limited to codes recorded in the hospital; diagnoses received outside the hospital were not captured. PMID:27252603

A new 3D texture feature based computer-aided diagnosis approach to differentiate pulmonary nodules

NASA Astrophysics Data System (ADS)

Han, Fangfang; Wang, Huafeng; Song, Bowen; Zhang, Guopeng; Lu, Hongbing; Moore, William; Zhao, Hong; Liang, Zhengrong

2013-02-01

To distinguish malignant pulmonary nodules from benign ones is of much importance in computer-aided diagnosis of lung diseases. Compared to many previous methods which are based on shape or growth assessing of nodules, this proposed three-dimensional (3D) texture feature based approach extracted fifty kinds of 3D textural features from gray level, gradient and curvature co-occurrence matrix, and more derivatives of the volume data of the nodules. To evaluate the presented approach, the Lung Image Database Consortium public database was downloaded. Each case of the database contains an annotation file, which indicates the diagnosis results from up to four radiologists. In order to relieve partial-volume effect, interpolation process was carried out to those volume data with image slice thickness more than 1mm, and thus we had categorized the downloaded datasets to five groups to validate the proposed approach, one group of thickness less than 1mm, two types of thickness range from 1mm to 1.25mm and greater than 1.25mm (each type contains two groups, one with interpolation and the other without). Since support vector machine is based on statistical learning theory and aims to learn for predicting future data, so it was chosen as the classifier to perform the differentiation task. The measure on the performance was based on the area under the curve (AUC) of Receiver Operating Characteristics. From 284 nodules (122 malignant and 162 benign ones), the validation experiments reported a mean of 0.9051 and standard deviation of 0.0397 for the AUC value on average over 100 randomizations.

Increased registration of hypertension and cancer diagnoses after the introduction of a new reimbursement system

PubMed Central

Hjerpe, Per; Boström, Kristina Bengtsson; Lindblad, Ulf; Merlo, Juan

2012-01-01

Objective To investigate the impact on ICD coding behaviour of a new case-mix reimbursement system based on coded patient diagnoses. The main hypothesis was that after the introduction of the new system the coding of chronic diseases like hypertension and cancer would increase and the variance in propensity for coding would decrease on both physician and health care centre (HCC) levels. Design Cross-sectional multilevel logistic regression analyses were performed in periods covering the time before and after the introduction of the new reimbursement system. Setting Skaraborg primary care, Sweden. Subjects All patients (n = 76 546 to 79 826) 50 years of age and older visiting 468 to 627 physicians at the 22 public HCCs in five consecutive time periods of one year each. Main outcome measures Registered codes for hypertension and cancer diseases in Skaraborg primary care database (SPCD). Results After the introduction of the new reimbursement system the adjusted prevalence of hypertension and cancer in SPCD increased from 17.4% to 32.2% and from 0.79% to 2.32%, respectively, probably partly due to an increased diagnosis coding of indirect patient contacts. The total variance in the propensity for coding declined simultaneously at the physician level for both diagnosis groups. Conclusions Changes in the healthcare reimbursement system may directly influence the contents of a research database that retrieves data from clinical practice. This should be taken into account when using such a database for research purposes, and the data should be validated for each diagnosis. PMID:23130878

Consulting report on the NASA technology utilization network system

NASA Technical Reports Server (NTRS)

Hlava, Marjorie M. K.

1992-01-01

The purposes of this consulting effort are: (1) to evaluate the existing management and production procedures and workflow as they each relate to the successful development, utilization, and implementation of the NASA Technology Utilization Network System (TUNS) database; (2) to identify, as requested by the NASA Project Monitor, the strengths, weaknesses, areas of bottlenecking, and previously unaddressed problem areas affecting TUNS; (3) to recommend changes or modifications of existing procedures as necessary in order to effect corrections for the overall benefit of NASA TUNS database production, implementation, and utilization; and (4) to recommend the addition of alternative procedures, routines, and activities that will consolidate and facilitate the production, implementation, and utilization of the NASA TUNS database.

National health care providers' database (NHCPD) of Slovenia--information technology solution for health care planning and management.

PubMed

Albreht, T; Paulin, M

1999-01-01

The article describes the possibilities of planning of the health care providers' network enabled by the use of information technology. The cornerstone of such planning is the development and establishment of a quality database on health care providers, health care professionals and their employment statuses. Based on the analysis of information needs, a new database was developed for various users in health care delivery as well as for those in health insurance. The method of information engineering was used in the standard four steps of the information system construction, while the whole project was run in accordance with the principles of two internationally approved project management methods. Special attention was dedicated to a careful analysis of the users' requirements and we believe the latter to be fulfilled to a very large degree. The new NHCPD is a relational database which is set up in two important state institutions, the National Institute of Public Health and the Health Insurance Institute of Slovenia. The former is responsible for updating the database, while the latter is responsible for the technological side as well as for the implementation of data security and protection. NHCPD will be inter linked with several other existing applications in the area of health care, public health and health insurance. Several important state institutions and professional chambers are users of the database in question, thus integrating various aspects of the health care system in Slovenia. The setting up of a completely revised health care providers' database in Slovenia is an important step in the development of a uniform and integrated information system that would support top decision-making processes at the national level.

The interface of genomic technologies and nursing.

PubMed

Loescher, Lois J; Merkle, Carrie J

2005-01-01

(a) to summarize views of the interface of technology, genomic technology, and nursing; (b) provide an overview of current and emerging genomic technologies; (c) present clinical exemplars of uses of genomic technology in two disease conditions; and (d) list genomic-focused nursing research on genomic technologies. A discussion of genomic technology in the context of nurses' views of technology, the importance of genomic technology for nurses, linking the central dogma of molecular biology to state-of-the-art tests and assays, and nurses' current use of technologies. Human genome discoveries will continue to be an integral part of disease prevention, diagnosis, treatment, and management. These discoveries also have the potential for being integrated into nursing science. Genomic technologies are becoming a driving force in patient management, so that nurses will be unable to provide quality care without knowledge of the types of genomic technologies, the rationale for their use, and the possible sequelae that can result from genetic diagnosis or treatment. Many nurses already are using genomic technologies to conduct genomic-focused nursing research. The biobehavioral nature of much of this research further indicates the important contributions of nurses in genomics.

Receptivity of Librarians to Optical Information Technologies and Products.

ERIC Educational Resources Information Center

Eaton, Nancy

1986-01-01

Examines factors which may affect the receptivity of librarians to the use of optical disk technologies, including hardware and software issues, the content of currently available databases, and the integration of optical technologies into existing library services. (CLB)

Systematic review of methods to predict and detect anastomotic leakage in colorectal surgery.

PubMed

Hirst, N A; Tiernan, J P; Millner, P A; Jayne, D G

2014-02-01

Anastomotic leakage is a serious complication of gastrointestinal surgery resulting in increased morbidity and mortality, poor function and predisposing to cancer recurrence. Earlier diagnosis and intervention can minimize systemic complications but is hindered by current diagnostic methods that are non-specific and often uninformative. The purpose of this paper is to review current developments in the field and to identify strategies for early detection and treatment of anastomotic leakage. A systematic literature search was performed using the MEDLINE, Embase, PubMed and Cochrane Library databases. Search terms included 'anastomosis' and 'leak' and 'diagnosis' or 'detection' and 'gastrointestinal' or 'colorectal'. Papers concentrating on the diagnosis of gastrointestinal anastomotic leak were identified and further searches were performed by cross-referencing. Computerized tomography CT scanning and water-soluble contrast studies are the current preferred techniques for diagnosing anastomotic leakage but suffer from variable sensitivity and specificity, have logistical constraints and may delay timely intervention. Intra-operative endoscopy and imaging may offer certain advantages, but the ability to predict anastomotic leakage is unproven. Newer techniques involve measurement of biomarkers for anastomotic leakage and have the potential advantage of providing cheap real-time monitoring for postoperative complications. Current diagnostic tests often fail to diagnose anastomotic leak at an early stage that enables timely intervention and minimizes serious morbidity and mortality. Emerging technologies, based on detection of local biomarkers, have achieved proof of concept status but require further evaluation to determine whether they translate into improved patient outcomes. Further research is needed to address this important, yet relatively unrecognized, area of unmet clinical need. Colorectal Disease © 2013 The Association of Coloproctology of Great Britain and Ireland.

Artificial intelligence in medicine and cardiac imaging: harnessing big data and advanced computing to provide personalized medical diagnosis and treatment.

PubMed

Dilsizian, Steven E; Siegel, Eliot L

2014-01-01

Although advances in information technology in the past decade have come in quantum leaps in nearly every aspect of our lives, they seem to be coming at a slower pace in the field of medicine. However, the implementation of electronic health records (EHR) in hospitals is increasing rapidly, accelerated by the meaningful use initiatives associated with the Center for Medicare & Medicaid Services EHR Incentive Programs. The transition to electronic medical records and availability of patient data has been associated with increases in the volume and complexity of patient information, as well as an increase in medical alerts, with resulting "alert fatigue" and increased expectations for rapid and accurate diagnosis and treatment. Unfortunately, these increased demands on health care providers create greater risk for diagnostic and therapeutic errors. In the near future, artificial intelligence (AI)/machine learning will likely assist physicians with differential diagnosis of disease, treatment options suggestions, and recommendations, and, in the case of medical imaging, with cues in image interpretation. Mining and advanced analysis of "big data" in health care provide the potential not only to perform "in silico" research but also to provide "real time" diagnostic and (potentially) therapeutic recommendations based on empirical data. "On demand" access to high-performance computing and large health care databases will support and sustain our ability to achieve personalized medicine. The IBM Jeopardy! Challenge, which pitted the best all-time human players against the Watson computer, captured the imagination of millions of people across the world and demonstrated the potential to apply AI approaches to a wide variety of subject matter, including medicine. The combination of AI, big data, and massively parallel computing offers the potential to create a revolutionary way of practicing evidence-based, personalized medicine.

A Clinician's Guide to the Diagnosis and Management of Gallbladder Volvulus.

PubMed

Pottorf, Brian J; Alfaro, Leonardo; Hollis, Harris W

2013-01-01

Gallbladder volvulus (GV), or torsion of the gallbladder, is an uncommon surgical emergency. This article reviews the world literature related to GV. We examine the history of gallbladder torsion and highlight the critical constellation of presenting signs and symptoms, which guide the acute care physician and surgeon to accurate and timely diagnosis of GV before surgical intervention. A comprehensive review of all published cases of GV was performed using the National Library of Medicine (PubMed) database. Lists of typical symptoms and clinical presentations are provided to allow clinicians to establish an accurate preoperative diagnosis. GV is frequently undiagnosed before surgical intervention. However, clinical presentation and associated radiographic findings can lead to an accurate diagnosis if the clinician is aware of this uncommon condition. When the diagnosis has been established before operative intervention, expeditious laparoscopic cholecystectomy can be performed safely. Delays in diagnosis may mandate open cholecystectomy if laparoscopic extraction is contraindicated because of undesirable sequelae of gallbladder necrosis, specifically perforation, bilious peritonitis, and hemodynamic instability.

Predictors of patient entry into alcohol treatment after initial diagnosis.

PubMed

Kirchner, J E; Booth, B M; Owen, R R; Lancaster, A E; Smith, G R

2000-08-01

To improve the quality of care for alcohol-related disorders, key transitions in the continuum of care, including treatment entry, must be fully understood. The purpose of this study was to investigate identifiable predictors of patient entry into a substance-use treatment program following the initial diagnosis of an alcohol-related disorder on a medical or surgical inpatient unit. An administrative computerized database was used to identify the sample for this study. Inpatient and outpatient records were obtained from the Little Rock VAMC/DHCP. Predictors of patient entry into treatment within six months of the initial diagnosis of an alcohol related disorder included age younger than than 60 (odds ratio [OR] = 4.6), not married (OR = 1.7), primary diagnosis of an alcohol-related disorder (OR = 7.7), diagnosis of a comorbid drug (OR = 4.3) or psychiatric disorder (OR = 3.6), diagnosis by a medical as opposed to a surgical specialty (OR = 6.0), and African American (OR = 1.7).

Enabling heterogenous multi-scale database for emergency service functions through geoinformation technologies

NASA Astrophysics Data System (ADS)

Bhanumurthy, V.; Venugopala Rao, K.; Srinivasa Rao, S.; Ram Mohan Rao, K.; Chandra, P. Satya; Vidhyasagar, J.; Diwakar, P. G.; Dadhwal, V. K.

2014-11-01

Geographical Information Science (GIS) is now graduated from traditional desktop system to Internet system. Internet GIS is emerging as one of the most promising technologies for addressing Emergency Management. Web services with different privileges are playing an important role in dissemination of the emergency services to the decision makers. Spatial database is one of the most important components in the successful implementation of Emergency Management. It contains spatial data in the form of raster, vector, linked with non-spatial information. Comprehensive data is required to handle emergency situation in different phases. These database elements comprise core data, hazard specific data, corresponding attribute data, and live data coming from the remote locations. Core data sets are minimum required data including base, thematic, infrastructure layers to handle disasters. Disaster specific information is required to handle a particular disaster situation like flood, cyclone, forest fire, earth quake, land slide, drought. In addition to this Emergency Management require many types of data with spatial and temporal attributes that should be made available to the key players in the right format at right time. The vector database needs to be complemented with required resolution satellite imagery for visualisation and analysis in disaster management. Therefore, the database is interconnected and comprehensive to meet the requirement of an Emergency Management. This kind of integrated, comprehensive and structured database with appropriate information is required to obtain right information at right time for the right people. However, building spatial database for Emergency Management is a challenging task because of the key issues such as availability of data, sharing policies, compatible geospatial standards, data interoperability etc. Therefore, to facilitate using, sharing, and integrating the spatial data, there is a need to define standards to build emergency database systems. These include aspects such as i) data integration procedures namely standard coding scheme, schema, meta data format, spatial format ii) database organisation mechanism covering data management, catalogues, data models iii) database dissemination through a suitable environment, as a standard service for effective service dissemination. National Database for Emergency Management (NDEM) is such a comprehensive database for addressing disasters in India at the national level. This paper explains standards for integrating, organising the multi-scale and multi-source data with effective emergency response using customized user interfaces for NDEM. It presents standard procedure for building comprehensive emergency information systems for enabling emergency specific functions through geospatial technologies.

Cost-benefit value of microscopic examination of intervertebral discs.

PubMed

Grzybicki, D M; Callaghan, E J; Raab, S S

1998-09-01

Given the virtual absence of histologically detected, clinically unsuspected disease in intervertebral disc specimens, some authors have advocated that histological examination be discontinued. However, the examination of intervertebral disc specimens remains common practice in most pathology laboratories. No cost-benefit analysis of this practice has been made; therefore, the authors' goal in this study was perform such an analysis. Using the University of Iowa surgical pathology database, 1109 patients who had undergone a laminectomy were identified retrospectively. These cases were classified into four categories based on the patients' preoperative clinical diagnosis and final histopathological diagnosis: insignificant clinical diagnosis/insignificant pathological diagnosis (ICIP), significant clinical diagnosis/insignificant pathological diagnosis (SCIP), significant clinical diagnosis/significant pathological diagnosis (SCSP), and insignificant clinical diagnosis/significant pathological diagnosis (ICSP). A significant clinical diagnosis was defined as one other than a benign, noninfectious indication for laminectomy. A significant pathological diagnosis was a diagnosis other than degenerative changes. The cost-benefit value of performing a histological examination in cases with significant or insignificant clinical diagnoses was examined. The cases were classified as: 1068 ICIP, 17 SCIP, 21 SCSP, and three ICSP. On chart review, in all three cases of ICSP an epidural abscess was identified perioperatively and the subsequent histological diagnosis did not affect patient care. The costs per case of identifying a significant pathological diagnosis with a significant and an insignificant clinical diagnosis were $44.79 and $8811, respectively. Histological examination of intervertebral disc specimens is cost beneficial only if there is a significant preoperative clinical diagnosis.

A Support Database System for Integrated System Health Management (ISHM)

NASA Technical Reports Server (NTRS)

Schmalzel, John; Figueroa, Jorge F.; Turowski, Mark; Morris, John

2007-01-01

The development, deployment, operation and maintenance of Integrated Systems Health Management (ISHM) applications require the storage and processing of tremendous amounts of low-level data. This data must be shared in a secure and cost-effective manner between developers, and processed within several heterogeneous architectures. Modern database technology allows this data to be organized efficiently, while ensuring the integrity and security of the data. The extensibility and interoperability of the current database technologies also allows for the creation of an associated support database system. A support database system provides additional capabilities by building applications on top of the database structure. These applications can then be used to support the various technologies in an ISHM architecture. This presentation and paper propose a detailed structure and application description for a support database system, called the Health Assessment Database System (HADS). The HADS provides a shared context for organizing and distributing data as well as a definition of the applications that provide the required data-driven support to ISHM. This approach provides another powerful tool for ISHM developers, while also enabling novel functionality. This functionality includes: automated firmware updating and deployment, algorithm development assistance and electronic datasheet generation. The architecture for the HADS has been developed as part of the ISHM toolset at Stennis Space Center for rocket engine testing. A detailed implementation has begun for the Methane Thruster Testbed Project (MTTP) in order to assist in developing health assessment and anomaly detection algorithms for ISHM. The structure of this implementation is shown in Figure 1. The database structure consists of three primary components: the system hierarchy model, the historical data archive and the firmware codebase. The system hierarchy model replicates the physical relationships between system elements to provide the logical context for the database. The historical data archive provides a common repository for sensor data that can be shared between developers and applications. The firmware codebase is used by the developer to organize the intelligent element firmware into atomic units which can be assembled into complete firmware for specific elements.

Blending Technology with Camp Tradition: Technology Can Simplify Camp Operations.

ERIC Educational Resources Information Center

Salzman, Jeff

2000-01-01

Discusses uses of technology appropriate for camps, which are service organizations based on building relationships. Describes relationship marketing and how it can be enhanced through use of Web sites, interactive brochures, and client databases. Outlines other technology uses at camp: automated dispensing of medications, satellite tracking of…

The New Library, A Hybrid Organization.

ERIC Educational Resources Information Center

Waaijers, Leo

This paper discusses changes in technology in libraries over the last decade, beginning with an overview of the impact of databases, the Internet, and the World Wide Web on libraries. The integration of technology at Delft University of Technology (Netherlands) is described, including use of scanning technology, fax, and e-mail for document…

Fault Diagnosis Method for a Mine Hoist in the Internet of Things Environment.

PubMed

Li, Juanli; Xie, Jiacheng; Yang, Zhaojian; Li, Junjie

2018-06-13

To reduce the difficulty of acquiring and transmitting data in mining hoist fault diagnosis systems and to mitigate the low efficiency and unreasonable reasoning process problems, a fault diagnosis method for mine hoisting equipment based on the Internet of Things (IoT) is proposed in this study. The IoT requires three basic architectural layers: a perception layer, network layer, and application layer. In the perception layer, we designed a collaborative acquisition system based on the ZigBee short distance wireless communication technology for key components of the mine hoisting equipment. Real-time data acquisition was achieved, and a network layer was created by using long-distance wireless General Packet Radio Service (GPRS) transmission. The transmission and reception platforms for remote data transmission were able to transmit data in real time. A fault diagnosis reasoning method is proposed based on the improved Dezert-Smarandache Theory (DSmT) evidence theory, and fault diagnosis reasoning is performed. Based on interactive technology, a humanized and visualized fault diagnosis platform is created in the application layer. The method is then verified. A fault diagnosis test of the mine hoisting mechanism shows that the proposed diagnosis method obtains complete diagnostic data, and the diagnosis results have high accuracy and reliability.

Phenotip - a web-based instrument to help diagnosing fetal syndromes antenatally.

PubMed

Porat, Shay; de Rham, Maud; Giamboni, Davide; Van Mieghem, Tim; Baud, David

2014-12-10

Prenatal ultrasound can often reliably distinguish fetal anatomic anomalies, particularly in the hands of an experienced ultrasonographer. Given the large number of existing syndromes and the significant overlap in prenatal findings, antenatal differentiation for syndrome diagnosis is difficult. We constructed a hierarchic tree of 1140 sonographic markers and submarkers, organized per organ system. Subsequently, a database of prenatally diagnosable syndromes was built. An internet-based search engine was then designed to search the syndrome database based on a single or multiple sonographic markers. Future developments will include a database with magnetic resonance imaging findings as well as further refinements in the search engine to allow prioritization based on incidence of syndromes and markers.

Liz Torres | NREL

Science.gov Websites

of Expertise Customer service Technically savvy Event planning Word processing/desktop publishing Database management Research Interests Website design Database design Computational science Technology Consulting, Westminster, CO (2007-2012) Administrative Assistant, Source One Management, Denver, CO (2005

Evaluation of linking pavement related databases.

DOT National Transportation Integrated Search

2007-03-01

In general, the objectives of this study were to identify and solve various issues in linking pavement performance related database. The detailed objectives were: to evaluate the state-of-the-art in information technology for data integration and dat...

Microcomputers in Libraries.

ERIC Educational Resources Information Center

Ertel, Monica M.

1984-01-01

This discussion of current microcomputer technologies available to libraries focuses on software applications in four major classifications: communications (online database searching); word processing; administration; and database management systems. Specific examples of library applications are given and six references are cited. (EJS)

Applying World Wide Web technology to the study of patients with rare diseases.

PubMed

de Groen, P C; Barry, J A; Schaller, W J

1998-07-15

Randomized, controlled trials of sporadic diseases are rarely conducted. Recent developments in communication technology, particularly the World Wide Web, allow efficient dissemination and exchange of information. However, software for the identification of patients with a rare disease and subsequent data entry and analysis in a secure Web database are currently not available. To study cholangiocarcinoma, a rare cancer of the bile ducts, we developed a computerized disease tracing system coupled with a database accessible on the Web. The tracing system scans computerized information systems on a daily basis and forwards demographic information on patients with bile duct abnormalities to an electronic mailbox. If informed consent is given, the patient's demographic and preexisting medical information available in medical database servers are electronically forwarded to a UNIX research database. Information from further patient-physician interactions and procedures is also entered into this database. The database is equipped with a Web user interface that allows data entry from various platforms (PC-compatible, Macintosh, and UNIX workstations) anywhere inside or outside our institution. To ensure patient confidentiality and data security, the database includes all security measures required for electronic medical records. The combination of a Web-based disease tracing system and a database has broad applications, particularly for the integration of clinical research within clinical practice and for the coordination of multicenter trials.

Opportunities to diagnose chronic obstructive pulmonary disease in routine care in the UK: a retrospective study of a clinical cohort.

PubMed

Jones, Rupert C M; Price, David; Ryan, Dermot; Sims, Erika J; von Ziegenweidt, Julie; Mascarenhas, Laurence; Burden, Anne; Halpin, David M G; Winter, Robert; Hill, Sue; Kearney, Matt; Holton, Kevin; Moger, Anne; Freeman, Daryl; Chisholm, Alison; Bateman, Eric D

2014-04-01

Patterns of health-care use and comorbidities present in patients in the period before diagnosis of chronic obstructive pulmonary disease (COPD) are unknown. We investigated these factors to inform future case-finding strategies. We did a retrospective analysis of a clinical cohort in the UK with data from Jan 1, 1990 to Dec 31, 2009 (General Practice Research Database and Optimum Patient Care Research Database). We assessed patients aged 40 years or older who had an electronically coded diagnosis of COPD in their primary care records and had a minimum of 3 years of continuous practice data for COPD (2 years before diagnosis up to a maximum of 20 years, and 1 year after diagnosis) and at least two prescriptions for COPD since diagnosis. We identified missed opportunites to diagnose COPD from routinely collected patient data by reviewing patterns of health-care use and comorbidities present before diagnosis. We assessed patterns of health-care use in terms of lower respiratory consultations (infective and non-infective), lower respiratory consultations with a course of antibiotics or oral steroids, and chest radiography. If these events did not lead to a diagnosis of COPD, they were deemed to be missed opportunities. This study is registered with ClinicalTrials.gov, number NCT01655667. We assessed data for 38,859 patients. Opportunities for diagnosis were missed in 32,900 (85%) of 38,859 patients in the 5 years immediately preceding diagnosis of COPD; in 12,856 (58%) of 22,286 in the 6-10 years before diagnosis, in 3943 (42%) of 9351 in the 11-15 years before diagnosis; and in 95 (8%) of 1167 in the 16-20 years before diagnosis. Between 1990 and 2009, we noted decreases in the age at diagnosis (0·05 years of age per year, 95% CI 0·03-0·07) and yearly frequency of lower respiratory prescribing consultations (rate ratio 0·982 opportunities per year, 95% CI 0·979-0·985). Prevalence of all comorbidities present at COPD diagnosis increased except for asthma and bronchiectasis, which decreased between 1990 and 2007, from 281 (33·4%) of 842 patients to 451 of 1465 (30·8%) for asthma, and from 53 of 842 (6·3%) to 53 of 1465 (3·6%) for bronchiectasis. In the 2 years before diagnosis, of 6897 patients who had had a chest radiography, only 2296 (33%) also had spirometry. Opportunities to diagnose COPD at an earlier stage are being missed, and could be improved by case-finding in patients with lower respiratory tract symptoms and concordant long-term comorbidities. UK Department of Health, Research in Real Life. Copyright © 2014 Elsevier Ltd. All rights reserved.

Critical Discussion of Essentials of Diagnosis and Recording in Periodontics.

ERIC Educational Resources Information Center

Ellen, Richard P.

1994-01-01

Issues to be addressed before writing standards of care for the diagnosis of adult periodontal disease are discussed. These include considerations in screening and examination; arriving at diagnosis and prognosis, informing the patient, and referral; monitoring outcomes using diagnostic signs and tests; and new technology for and approaches to…

Nailing Digital Jelly to a Virtual Tree: Tracking Emerging Technologies for Learning

ERIC Educational Resources Information Center

Serim, Ferdi; Schrock, Kathy

2008-01-01

Reliable information on emerging technologies for learning is as vital as it is difficult to come by. To meet this need, the International Society for Technology in Education organized the Emerging Technologies Task Force. Its goal is to create a database of contributions from educators highlighting their use of emerging technologies to support…

Intelligent Operation and Maintenance of Micro-grid Technology and System Development

NASA Astrophysics Data System (ADS)

Fu, Ming; Song, Jinyan; Zhao, Jingtao; Du, Jian

2018-01-01

In order to achieve the micro-grid operation and management, Studying the micro-grid operation and maintenance knowledge base. Based on the advanced Petri net theory, the fault diagnosis model of micro-grid is established, and the intelligent diagnosis and analysis method of micro-grid fault is put forward. Based on the technology, the functional system and architecture of the intelligent operation and maintenance system of micro-grid are studied, and the microcomputer fault diagnosis function is introduced in detail. Finally, the system is deployed based on the micro-grid of a park, and the micro-grid fault diagnosis and analysis is carried out based on the micro-grid operation. The system operation and maintenance function interface is displayed, which verifies the correctness and reliability of the system.

A single slide multiplex assay for the evaluation of classical Hodgkin lymphoma.

PubMed

Hollman-Hewgley, Denise; Lazare, Michael; Bordwell, Alex; Zebadua, Emily; Tripathi, Pinky; Ross, Alexander S; Fisher, Deanna; Adams, Alisha; Bouman, Derek; O'Malley, Dennis P; Weiss, Lawrence M

2014-09-01

Classical Hodgkin lymphoma can be diagnosed with confidence in the majority of cases, but there is a significant subset that remains a diagnostic challenge. The authors have investigated the utility of a novel hyperplexing technology, MultiOmyx™, which may be applied to stain with >60 antibodies on single tissue sections from formalin-fixed paraffin-embedded tissue as an aid to the diagnosis of classical Hodgkin lymphoma. The multiplexing protocol included CD30, CD15, PAX-5, CD20, CD79a, CD45, BOB.1, OCT-2, and CD3 antibodies. The technology showed a high degree of sensitivity, specificity, and precision. Comparison studies with routine hematoxylin and eosin and immunohistochemical assessment of hematopathology cases in which classical Hodgkin lymphoma was included in the differential diagnosis showed concordance in 54 of 56 cases, with the 2 discordant cases illustrating the potential of this multiplexed immunofluorescence technology to improve on traditional immunohistochemistry for classical Hodgkin lymphoma diagnosis. This technology is practical for routine diagnosis and may be particularly useful in cases in which the sample size is limited, few Hodgkin-like cells are present, or in CD30-positive lymphoma cases with difficult morphology. MultiOmyx may potentially benefit other areas of research and diagnostic pathology.

Melanoma of the Skin in the Danish Cancer Registry and the Danish Melanoma Database: A Validation Study.

PubMed

Pedersen, Sidsel Arnspang; Schmidt, Sigrun Alba Johannesdottir; Klausen, Siri; Pottegård, Anton; Friis, Søren; Hölmich, Lisbet Rosenkrantz; Gaist, David

2018-05-01

The nationwide Danish Cancer Registry and the Danish Melanoma Database both record data on melanoma for purposes of monitoring, quality assurance, and research. However, the data quality of the Cancer Registry and the Melanoma Database has not been formally evaluated. We estimated the positive predictive value (PPV) of melanoma diagnosis for random samples of 200 patients from the Cancer Registry (n = 200) and the Melanoma Database (n = 200) during 2004-2014, using the Danish Pathology Registry as "gold standard" reference. We further validated tumor characteristics in the Cancer Registry and the Melanoma Database. Additionally, we estimated the PPV of in situ melanoma diagnoses in the Melanoma Database, and the sensitivity of melanoma diagnoses in 2004-2014. The PPVs of melanoma in the Cancer Registry and the Melanoma Database were 97% (95% CI = 94, 99) and 100%. The sensitivity was 90% in the Cancer Registry and 77% in the Melanoma Database. The PPV of in situ melanomas in the Melanoma Database was 97% and the sensitivity was 56%. In the Melanoma Database, we observed PPVs of ulceration of 75% and Breslow thickness of 96%. The PPV of histologic subtypes varied between 87% and 100% in the Cancer Registry and 93% and 100% in the Melanoma Database. The PPVs for anatomical localization were 83%-95% in the Cancer Registry and 93%-100% in the Melanoma Database. The data quality in both the Cancer Registry and the Melanoma Database is high, supporting their use in epidemiologic studies.

Evolving the US Army Research Laboratory (ARL) Technical Communication Strategy

DTIC Science & Technology

2016-10-01

of added value and enhanced tech transfer, and strengthened relationships with academic and industry collaborators. In support of increasing ARL’s...communication skills; and Prong 3: Promote a Stakeholder Database to implement a stakeholder database (including names and preferences) and use a...Group, strategic planning, communications strategy, stakeholder database , workforce improvement, science and technology, S&T 16. SECURITY

Validation of administrative and clinical case definitions for gestational diabetes mellitus against laboratory results.

PubMed

Bowker, S L; Savu, A; Donovan, L E; Johnson, J A; Kaul, P

2017-06-01

To examine the validity of International Classification of Disease, version 10 (ICD-10) codes for gestational diabetes mellitus in administrative databases (outpatient and inpatient), and in a clinical perinatal database (Alberta Perinatal Health Program), using laboratory data as the 'gold standard'. Women aged 12-54 years with in-hospital, singleton deliveries between 1 October 2008 and 31 March 2010 in Alberta, Canada were included in the study. A gestational diabetes diagnosis was defined in the laboratory data as ≥2 abnormal values on a 75-g oral glucose tolerance test or a 50-g glucose screen ≥10.3 mmol/l. Of 58 338 pregnancies, 2085 (3.6%) met gestational diabetes criteria based on laboratory data. The gestational diabetes rates in outpatient only, inpatient only, outpatient or inpatient combined, and Alberta Perinatal Health Program databases were 5.2% (3051), 4.8% (2791), 5.8% (3367) and 4.8% (2825), respectively. Although the outpatient or inpatient combined data achieved the highest sensitivity (92%) and specificity (97%), it was associated with a positive predictive value of only 57%. The majority of the false-positives (78%), however, had one abnormal value on oral glucose tolerance test, corresponding to a diagnosis of impaired glucose tolerance in pregnancy. The ICD-10 codes for gestational diabetes in administrative databases, especially when outpatient and inpatient databases are combined, can be used to reliably estimate the burden of the disease at the population level. Because impaired glucose tolerance in pregnancy and gestational diabetes may be managed similarly in clinical practice, impaired glucose tolerance in pregnancy is often coded as gestational diabetes. © 2016 Diabetes UK.

Evaluation of algorithms to identify incident cancer cases by using French health administrative databases.

PubMed

Ajrouche, Aya; Estellat, Candice; De Rycke, Yann; Tubach, Florence

2017-08-01

Administrative databases are increasingly being used in cancer observational studies. Identifying incident cancer in these databases is crucial. This study aimed to develop algorithms to estimate cancer incidence by using health administrative databases and to examine the accuracy of the algorithms in terms of national cancer incidence rates estimated from registries. We identified a cohort of 463 033 participants on 1 January 2012 in the Echantillon Généraliste des Bénéficiaires (EGB; a representative sample of the French healthcare insurance system). The EGB contains data on long-term chronic disease (LTD) status, reimbursed outpatient treatments and procedures, and hospitalizations (including discharge diagnoses, and costly medical procedures and drugs). After excluding cases of prevalent cancer, we applied 15 algorithms to estimate the cancer incidence rates separately for men and women in 2012 and compared them to the national cancer incidence rates estimated from French registries by indirect age and sex standardization. The most accurate algorithm for men combined information from LTD status, outpatient anticancer drugs, radiotherapy sessions and primary or related discharge diagnosis of cancer, although it underestimated the cancer incidence (standardized incidence ratio (SIR) 0.85 [0.80-0.90]). For women, the best algorithm used the same definition of the algorithm for men but restricted hospital discharge to only primary or related diagnosis with an additional inpatient procedure or drug reimbursement related to cancer and gave comparable estimates to those from registries (SIR 1.00 [0.94-1.06]). The algorithms proposed could be used for cancer incidence monitoring and for future etiological cancer studies involving French healthcare databases. Copyright © 2017 John Wiley & Sons, Ltd. Copyright © 2017 John Wiley & Sons, Ltd.

Positive predictive value of a case definition for diabetes mellitus using automated administrative health data in children and youth exposed to antipsychotic drugs or control medications: a Tennessee Medicaid study.

PubMed

Bobo, William V; Cooper, William O; Stein, C Michael; Olfson, Mark; Mounsey, Jackie; Daugherty, James; Ray, Wayne A

2012-08-24

We developed and validated an automated database case definition for diabetes in children and youth to facilitate pharmacoepidemiologic investigations of medications and the risk of diabetes. The present study was part of an in-progress retrospective cohort study of antipsychotics and diabetes in Tennessee Medicaid enrollees aged 6-24 years. Diabetes was identified from diabetes-related medical care encounters: hospitalizations, outpatient visits, and filled prescriptions. The definition required either a primary inpatient diagnosis or at least two other encounters of different types, most commonly an outpatient diagnosis with a prescription. Type 1 diabetes was defined by insulin prescriptions with at most one oral hypoglycemic prescription; other cases were considered type 2 diabetes. The definition was validated for cohort members in the 15 county region geographically proximate to the investigators. Medical records were reviewed and adjudicated for cases that met the automated database definition as well as for a sample of persons with other diabetes-related medical care encounters. The study included 64 cases that met the automated database definition. Records were adjudicated for 46 (71.9%), of which 41 (89.1%) met clinical criteria for newly diagnosed diabetes. The positive predictive value for type 1 diabetes was 80.0%. For type 2 and unspecified diabetes combined, the positive predictive value was 83.9%. The estimated sensitivity of the definition, based on adjudication for a sample of 30 cases not meeting the automated database definition, was 64.8%. These results suggest that the automated database case definition for diabetes may be useful for pharmacoepidemiologic studies of medications and diabetes.

Positive predictive value of a case definition for diabetes mellitus using automated administrative health data in children and youth exposed to antipsychotic drugs or control medications: a Tennessee Medicaid study

PubMed Central

2012-01-01

Background We developed and validated an automated database case definition for diabetes in children and youth to facilitate pharmacoepidemiologic investigations of medications and the risk of diabetes. Methods The present study was part of an in-progress retrospective cohort study of antipsychotics and diabetes in Tennessee Medicaid enrollees aged 6–24 years. Diabetes was identified from diabetes-related medical care encounters: hospitalizations, outpatient visits, and filled prescriptions. The definition required either a primary inpatient diagnosis or at least two other encounters of different types, most commonly an outpatient diagnosis with a prescription. Type 1 diabetes was defined by insulin prescriptions with at most one oral hypoglycemic prescription; other cases were considered type 2 diabetes. The definition was validated for cohort members in the 15 county region geographically proximate to the investigators. Medical records were reviewed and adjudicated for cases that met the automated database definition as well as for a sample of persons with other diabetes-related medical care encounters. Results The study included 64 cases that met the automated database definition. Records were adjudicated for 46 (71.9%), of which 41 (89.1%) met clinical criteria for newly diagnosed diabetes. The positive predictive value for type 1 diabetes was 80.0%. For type 2 and unspecified diabetes combined, the positive predictive value was 83.9%. The estimated sensitivity of the definition, based on adjudication for a sample of 30 cases not meeting the automated database definition, was 64.8%. Conclusion These results suggest that the automated database case definition for diabetes may be useful for pharmacoepidemiologic studies of medications and diabetes. PMID:22920280

NIST Gas Hydrate Research Database and Web Dissemination Channel.

PubMed

Kroenlein, K; Muzny, C D; Kazakov, A; Diky, V V; Chirico, R D; Frenkel, M; Sloan, E D

2010-01-01

To facilitate advances in application of technologies pertaining to gas hydrates, a freely available data resource containing experimentally derived information about those materials was developed. This work was performed by the Thermodynamic Research Center (TRC) paralleling a highly successful database of thermodynamic and transport properties of molecular pure compounds and their mixtures. Population of the gas-hydrates database required development of guided data capture (GDC) software designed to convert experimental data and metadata into a well organized electronic format, as well as a relational database schema to accommodate all types of numerical and metadata within the scope of the project. To guarantee utility for the broad gas hydrate research community, TRC worked closely with the Committee on Data for Science and Technology (CODATA) task group for Data on Natural Gas Hydrates, an international data sharing effort, in developing a gas hydrate markup language (GHML). The fruits of these efforts are disseminated through the NIST Sandard Reference Data Program [1] as the Clathrate Hydrate Physical Property Database (SRD #156). A web-based interface for this database, as well as scientific results from the Mallik 2002 Gas Hydrate Production Research Well Program [2], is deployed at http://gashydrates.nist.gov.

Using administrative databases in the surveillance of depressive disorders--case definitions.

PubMed

Alaghehbandan, Reza; Macdonald, Don; Barrett, Brendan; Collins, Kayla; Chen, Yue

2012-12-01

The objective of this study was to assess the usefulness of provincial administrative databases in carrying out surveillance on depressive disorders. Electronic medical records (EMRs) at 3 family practice clinics in St. John's, NL, Canada, were audited; 253 depressive disorder cases and 257 patients not diagnosed with a depressive disorder were selected. The EMR served as the "gold standard," which then was compared to these same patients investigated through the use of various case definitions applied against the provincial hospital and physician administrative databases. Variables used in the development of the case definitions were depressive disorder diagnoses (either in hospital or physician claims data), date of diagnosis, and service provider type [general practitioner (GP) vs. psychiatrist]. Of the 120 case definitions investigated, 26 were found to have a kappa statistic greater than 0.6, of which 5 case definitions were considered the most appropriate for surveillance of depressive disorders. Of the 5 definitions, the following case definition, with a 77.5% sensitivity and 93% specificity, was found to be the most valid ([ ≥1 hospitalizations OR ≥1 psychiatrist visit related to depressive disorders any time] OR ≥2 GP visits related to depressive disorders within the first 2 years of diagnosis). This study found that provincial administrative databases may be useful for carrying out surveillance on depressive disorders among the adult population. The approach used in this study was simple and resulted in rather reasonable sensitivity and specificity.

Linguistic Knowledge and Reasoning for Error Diagnosis and Feedback Generation.

ERIC Educational Resources Information Center

Delmonte, Rodolfo

2003-01-01

Presents four sets of natural language processing-based exercises for which error correction and feedback are produced by means of a rich database in which linguistic information is encoded either at the lexical or the grammatical level. (Author/VWL)

Draft secure medical database standard.

PubMed

Pangalos, George

2002-01-01

Medical database security is a particularly important issue for all Healthcare establishments. Medical information systems are intended to support a wide range of pertinent health issues today, for example: assure the quality of care, support effective management of the health services institutions, monitor and contain the cost of care, implement technology into care without violating social values, ensure the equity and availability of care, preserve humanity despite the proliferation of technology etc.. In this context, medical database security aims primarily to support: high availability, accuracy and consistency of the stored data, the medical professional secrecy and confidentiality, and the protection of the privacy of the patient. These properties, though of technical nature, basically require that the system is actually helpful for medical care and not harmful to patients. These later properties require in turn not only that fundamental ethical principles are not violated by employing database systems, but instead, are effectively enforced by technical means. This document reviews the existing and emerging work on the security of medical database systems. It presents in detail the related problems and requirements related to medical database security. It addresses the problems of medical database security policies, secure design methodologies and implementation techniques. It also describes the current legal framework and regulatory requirements for medical database security. The issue of medical database security guidelines is also examined in detailed. The current national and international efforts in the area are studied. It also gives an overview of the research work in the area. The document also presents in detail the most complete to our knowledge set of security guidelines for the development and operation of medical database systems.

Advanced technologies for scalable ATLAS conditions database access on the grid

NASA Astrophysics Data System (ADS)

Basset, R.; Canali, L.; Dimitrov, G.; Girone, M.; Hawkings, R.; Nevski, P.; Valassi, A.; Vaniachine, A.; Viegas, F.; Walker, R.; Wong, A.

2010-04-01

During massive data reprocessing operations an ATLAS Conditions Database application must support concurrent access from numerous ATLAS data processing jobs running on the Grid. By simulating realistic work-flow, ATLAS database scalability tests provided feedback for Conditions Db software optimization and allowed precise determination of required distributed database resources. In distributed data processing one must take into account the chaotic nature of Grid computing characterized by peak loads, which can be much higher than average access rates. To validate database performance at peak loads, we tested database scalability at very high concurrent jobs rates. This has been achieved through coordinated database stress tests performed in series of ATLAS reprocessing exercises at the Tier-1 sites. The goal of database stress tests is to detect scalability limits of the hardware deployed at the Tier-1 sites, so that the server overload conditions can be safely avoided in a production environment. Our analysis of server performance under stress tests indicates that Conditions Db data access is limited by the disk I/O throughput. An unacceptable side-effect of the disk I/O saturation is a degradation of the WLCG 3D Services that update Conditions Db data at all ten ATLAS Tier-1 sites using the technology of Oracle Streams. To avoid such bottlenecks we prototyped and tested a novel approach for database peak load avoidance in Grid computing. Our approach is based upon the proven idea of pilot job submission on the Grid: instead of the actual query, an ATLAS utility library sends to the database server a pilot query first.

DSSTox and Chemical Information Technologies in Support of PredictiveToxicology

EPA Science Inventory

The EPA NCCT Distributed Structure-Searchable Toxicity (DSSTox) Database project initially focused on the curation and publication of high-quality, standardized, chemical structure-annotated toxicity databases for use in structure-activity relationship (SAR) modeling. In recent y...

Teaching Historians with Databases.

ERIC Educational Resources Information Center

Burton, Vernon

1993-01-01

Asserts that, although pressures to publish have detracted from the quality of teaching at the college level, recent innovations in educational technology have created opportunities for instructional improvement. Describes the use of computer-assisted instruction and databases in college-level history courses. (CFR)

SPECIES DATABASES AND THE BIOINFORMATICS REVOLUTION.

EPA Science Inventory

Biological databases are having a growth spurt. Much of this results from research in genetics and biodiversity, coupled with fast-paced developments in information technology. The revolution in bioinformatics, defined by Sugden and Pennisi (2000) as the "tools and techniques for...

Evaluation of "shotgun" proteomics for identification of biological threat agents in complex environmental matrixes: experimental simulations.

PubMed

Verberkmoes, Nathan C; Hervey, W Judson; Shah, Manesh; Land, Miriam; Hauser, Loren; Larimer, Frank W; Van Berkel, Gary J; Goeringer, Douglas E

2005-02-01

There is currently a great need for rapid detection and positive identification of biological threat agents, as well as microbial species in general, directly from complex environmental samples. This need is most urgent in the area of homeland security, but also extends into medical, environmental, and agricultural sciences. Mass-spectrometry-based analysis is one of the leading technologies in the field with a diversity of different methodologies for biothreat detection. Over the past few years, "shotgun"proteomics has become one method of choice for the rapid analysis of complex protein mixtures by mass spectrometry. Recently, it was demonstrated that this methodology is capable of distinguishing a target species against a large database of background species from a single-component sample or dual-component mixtures with relatively the same concentration. Here, we examine the potential of shotgun proteomics to analyze a target species in a background of four contaminant species. We tested the capability of a common commercial mass-spectrometry-based shotgun proteomics platform for the detection of the target species (Escherichia coli) at four different concentrations and four different time points of analysis. We also tested the effect of database size on positive identification of the four microbes used in this study by testing a small (13-species) database and a large (261-species) database. The results clearly indicated that this technology could easily identify the target species at 20% in the background mixture at a 60, 120, 180, or 240 min analysis time with the small database. The results also indicated that the target species could easily be identified at 20% or 6% but could not be identified at 0.6% or 0.06% in either a 240 min analysis or a 30 h analysis with the small database. The effects of the large database were severe on the target species where detection above the background at any concentration used in this study was impossible, though the three other microbes used in this study were clearly identified above the background when analyzed with the large database. This study points to the potential application of this technology for biological threat agent detection but highlights many areas of needed research before the technology will be useful in real world samples.

Design and Implementation of Harmful Algal Bloom Diagnosis System Based on J2EE Platform

NASA Astrophysics Data System (ADS)

Guo, Chunfeng; Zheng, Haiyong; Ji, Guangrong; Lv, Liang

According to the shortcomings which are time consuming and laborious of the traditional HAB (Harmful Algal Bloom) diagnosis by the experienced experts using microscope, all kinds of methods and technologies to identify HAB emerged such as microscopic images, molecular biology, characteristics of pigments analysis, fluorescence spectra, inherent optical properties, etc. This paper proposes the design and implementation of a web-based diagnosis system integrating the popular methods for HAB identification. This system is designed with J2EE platform based on MVC (Model-View-Controller) model as well as technologies such as JSP, Servlets, EJB and JDBC.

[Antenatal diagnosis: the revolution of new technologies].

PubMed

Fokstuen, Siv; Sloan-Béna, Frédérique; lrion, Olivier

2014-01-15

Since ten years, the number of amniocenteses or chorionic villous sampling for maternal anxiety has decreased thanks to the first trimester screening of trisomy 21 by ultrasound and maternal serum analysis. Two new tools have recently revolutionized antenatal screening and diagnosis: Analysing fetal DNA in maternal blood for chromosomes 21, 18 and 13 in order to avoid invasive fetal sampling and genomic comparative hybridization in order to diagnose deletions or duplications not detected by conventional caryotyping. These new technologies are dedicated to high-risk pregnancies, and have limitations. They do not replace ultrasound or first trimester screening. Information and ethics are central in antenatal screening and diagnosis.

Simplifying Skin Disease Diagnosis with Topical Nanotechnology.

PubMed

Yeo, David C; Xu, Chenjie

2018-05-01

A new study published in the journal Nature Biomedical Engineering 1 documents a novel diagnostic technology that exploits topically applied nanotechnology to detect skin tissue biomarkers for diagnosis. This concept is demonstrated by noninvasively imaging connective tissue growth factor (CTGF) mRNA in abnormal scar cells, whole tissue, and animal models. In this commentary, we highlight the main findings and discuss their implications. Successful implementation in the clinic could give rise to self-applied, biopsy-free diagnostic technology and significantly reduce healthcare burden. Crucially, noninvasive visualization of disease biomarkers, mobile device signal acquisition, and Internet-enabled transmission could significantly transform the diagnosis of skin disease and other superficial tissues.

[A computer-aided image diagnosis and study system].

PubMed

Li, Zhangyong; Xie, Zhengxiang

2004-08-01

The revolution in information processing, particularly the digitizing of medicine, has changed the medical study, work and management. This paper reports a method to design a system for computer-aided image diagnosis and study. Combined with some good idea of graph-text system and picture archives communicate system (PACS), the system was realized and used for "prescription through computer", "managing images" and "reading images under computer and helping the diagnosis". Also typical examples were constructed in a database and used to teach the beginners. The system was developed by the visual developing tools based on object oriented programming (OOP) and was carried into operation on the Windows 9X platform. The system possesses friendly man-machine interface.

A cloud platform for remote diagnosis of breast cancer in mammography by fusion of machine and human intelligence

NASA Astrophysics Data System (ADS)

Jiang, Guodong; Fan, Ming; Li, Lihua

2016-03-01

Mammography is the gold standard for breast cancer screening, reducing mortality by about 30%. The application of a computer-aided detection (CAD) system to assist a single radiologist is important to further improve mammographic sensitivity for breast cancer detection. In this study, a design and realization of the prototype for remote diagnosis system in mammography based on cloud platform were proposed. To build this system, technologies were utilized including medical image information construction, cloud infrastructure and human-machine diagnosis model. Specifically, on one hand, web platform for remote diagnosis was established by J2EE web technology. Moreover, background design was realized through Hadoop open-source framework. On the other hand, storage system was built up with Hadoop distributed file system (HDFS) technology which enables users to easily develop and run on massive data application, and give full play to the advantages of cloud computing which is characterized by high efficiency, scalability and low cost. In addition, the CAD system was realized through MapReduce frame. The diagnosis module in this system implemented the algorithms of fusion of machine and human intelligence. Specifically, we combined results of diagnoses from doctors' experience and traditional CAD by using the man-machine intelligent fusion model based on Alpha-Integration and multi-agent algorithm. Finally, the applications on different levels of this system in the platform were also discussed. This diagnosis system will have great importance for the balanced health resource, lower medical expense and improvement of accuracy of diagnosis in basic medical institutes.

An indoor positioning technology in the BLE mobile payment system

NASA Astrophysics Data System (ADS)

Han, Tiantian; Ding, Lei

2017-05-01

Mobile payment system for large supermarkets, the core function is through the BLE low-power Bluetooth technology to achieve the amount of payment in the mobile payment system, can through an indoor positioning technology to achieve value-added services. The technology by collecting Bluetooth RSSI, the fingerprint database of sampling points corresponding is established. To get Bluetooth module RSSI by the AP. Then, to use k-Nearest Neighbor match the value of the fingerprint database. Thereby, to help businesses find customers through the mall location, combined settlement amount of the customer's purchase of goods, to analyze customer's behavior. When the system collect signal strength, the distribution of the sampling points of RSSI is analyzed and the value is filtered. The system, used in the laboratory is designed to demonstrate the feasibility.

Assistive technology for ultrasound-guided central venous catheter placement.

PubMed

Ikhsan, Mohammad; Tan, Kok Kiong; Putra, Andi Sudjana

2018-01-01

This study evaluated the existing technology used to improve the safety and ease of ultrasound-guided central venous catheterization. Electronic database searches were conducted in Scopus, IEEE, Google Patents, and relevant conference databases (SPIE, MICCAI, and IEEE conferences) for related articles on assistive technology for ultrasound-guided central venous catheterization. A total of 89 articles were examined and pointed to several fields that are currently the focus of improvements to ultrasound-guided procedures. These include improving needle visualization, needle guides and localization technology, image processing algorithms to enhance and segment important features within the ultrasound image, robotic assistance using probe-mounted manipulators, and improving procedure ergonomics through in situ projections of important information. Probe-mounted robotic manipulators provide a promising avenue for assistive technology developed for freehand ultrasound-guided percutaneous procedures. However, there is currently a lack of clinical trials to validate the effectiveness of these devices.

Technology in the Public Library: Results from the 1992 PLDS Survey of Technology.

ERIC Educational Resources Information Center

Fidler, Linda M.; Johnson, Debra Wilcox

1994-01-01

Discusses and compares the incorporation of technology by larger public libraries in Canada and the United States. Technology mentioned includes online public access catalogs; remote and local online database searching; microcomputers and software for public use; and fax, voice mail, and Telecommunication Devices for the Deaf and Teletype writer…

The biobank for the molecular classification of kidney disease: research translation and precision medicine in nephrology.

PubMed

Muruve, Daniel A; Mann, Michelle C; Chapman, Kevin; Wong, Josee F; Ravani, Pietro; Page, Stacey A; Benediktsson, Hallgrimur

2017-07-26

Advances in technology and the ability to interrogate disease pathogenesis using systems biology approaches are exploding. As exemplified by the substantial progress in the personalized diagnosis and treatment of cancer, the application of systems biology to enable precision medicine in other disciplines such as Nephrology is well underway. Infrastructure that permits the integration of clinical data, patient biospecimens and advanced technologies is required for institutions to contribute to, and benefit from research in molecular disease classification and to devise specific and patient-oriented treatments. We describe the establishment of the Biobank for the Molecular Classification of Kidney Disease (BMCKD) at the University of Calgary, Alberta, Canada. The BMCKD consists of a fully equipped wet laboratory, an information technology infrastructure, and a formal operational, ethical and legal framework for banking human biospecimens and storing clinical data. The BMCKD first consolidated a large retrospective cohort of kidney biopsy specimens to create a population-based renal pathology database and tissue inventory of glomerular and other kidney diseases. The BMCKD will continue to prospectively bank all kidney biopsies performed in Southern Alberta. The BMCKD is equipped to perform molecular, clinical and epidemiologic studies in renal pathology. The BMCKD also developed formal biobanking procedures for human specimens such as blood, urine and nucleic acids collected for basic and clinical research studies or for advanced diagnostic technologies in clinical care. The BMCKD is guided by standard operating procedures, an ethics framework and legal agreements with stakeholders that include researchers, data custodians and patients. The design and structure of the BMCKD permits its inclusion in a wide variety of research and clinical activities. The BMCKD is a core multidisciplinary facility that will bridge basic and clinical research and integrate precision medicine into renal pathology and nephrology.

The ADAMS interactive interpreter

DOE Office of Scientific and Technical Information (OSTI.GOV)

Rietscha, E.R.

1990-12-17

The ADAMS (Advanced DAta Management System) project is exploring next generation database technology. Database management does not follow the usual programming paradigm. Instead, the database dictionary provides an additional name space environment that should be interactively created and tested before writing application code. This document describes the implementation and operation of the ADAMS Interpreter, an interactive interface to the ADAMS data dictionary and runtime system. The Interpreter executes individual statements of the ADAMS Interface Language, providing a fast, interactive mechanism to define and access persistent databases. 5 refs.

Development of a validated algorithm for the diagnosis of paediatric asthma in electronic medical records

PubMed Central

Cave, Andrew J; Davey, Christina; Ahmadi, Elaheh; Drummond, Neil; Fuentes, Sonia; Kazemi-Bajestani, Seyyed Mohammad Reza; Sharpe, Heather; Taylor, Matt

2016-01-01

An accurate estimation of the prevalence of paediatric asthma in Alberta and elsewhere is hampered by uncertainty regarding disease definition and diagnosis. Electronic medical records (EMRs) provide a rich source of clinical data from primary-care practices that can be used in better understanding the occurrence of the disease. The Canadian Primary Care Sentinel Surveillance Network (CPCSSN) database includes cleaned data extracted from the EMRs of primary-care practitioners. The purpose of the study was to develop and validate a case definition of asthma in children 1–17 who consult family physicians, in order to provide primary-care estimates of childhood asthma in Alberta as accurately as possible. The validation involved the comparison of the application of a theoretical algorithm (to identify patients with asthma) to a physician review of records included in the CPCSSN database (to confirm an accurate diagnosis). The comparison yielded 87.4% sensitivity, 98.6% specificity and a positive and negative predictive value of 91.2% and 97.9%, respectively, in the age group 1–17 years. The algorithm was also run for ages 3–17 and 6–17 years, and was found to have comparable statistical values. Overall, the case definition and algorithm yielded strong sensitivity and specificity metrics and was found valid for use in research in CPCSSN primary-care practices. The use of the validated asthma algorithm may improve insight into the prevalence, diagnosis, and management of paediatric asthma in Alberta and Canada. PMID:27882997

Development of a validated algorithm for the diagnosis of paediatric asthma in electronic medical records.

PubMed

Cave, Andrew J; Davey, Christina; Ahmadi, Elaheh; Drummond, Neil; Fuentes, Sonia; Kazemi-Bajestani, Seyyed Mohammad Reza; Sharpe, Heather; Taylor, Matt

2016-11-24

An accurate estimation of the prevalence of paediatric asthma in Alberta and elsewhere is hampered by uncertainty regarding disease definition and diagnosis. Electronic medical records (EMRs) provide a rich source of clinical data from primary-care practices that can be used in better understanding the occurrence of the disease. The Canadian Primary Care Sentinel Surveillance Network (CPCSSN) database includes cleaned data extracted from the EMRs of primary-care practitioners. The purpose of the study was to develop and validate a case definition of asthma in children 1-17 who consult family physicians, in order to provide primary-care estimates of childhood asthma in Alberta as accurately as possible. The validation involved the comparison of the application of a theoretical algorithm (to identify patients with asthma) to a physician review of records included in the CPCSSN database (to confirm an accurate diagnosis). The comparison yielded 87.4% sensitivity, 98.6% specificity and a positive and negative predictive value of 91.2% and 97.9%, respectively, in the age group 1-17 years. The algorithm was also run for ages 3-17 and 6-17 years, and was found to have comparable statistical values. Overall, the case definition and algorithm yielded strong sensitivity and specificity metrics and was found valid for use in research in CPCSSN primary-care practices. The use of the validated asthma algorithm may improve insight into the prevalence, diagnosis, and management of paediatric asthma in Alberta and Canada.

Discordance in histopathologic evaluation of melanoma sentinel lymph node biopsy with clinical follow-up: results from a prospectively collected database.

PubMed

Dandekar, Monisha; Lowe, Lori; Fullen, Douglas R; Johnson, Timothy M; Sabel, Michael S; Wong, Sandra L; Patel, Rajiv M

2014-10-01

Sentinel lymph node (SLN) status currently represents the single most important prognostic factor in clinically localized melanoma and is widely used in patients with melanoma at significant risk for nodal micrometastasis. Although several studies have looked at the rates and implications of inaccuracies in the histopathologic diagnosis of melanocytic lesions, accuracy in the histologic interpretation of the SLN in melanoma has not been addressed. The goal of this study was to determine the rates of discordance in the histopathologic evaluation of the SLN and the potential clinical impact on patients referred to a comprehensive melanoma center. A prospectively collected database was queried for melanoma patients who had SLN biopsies performed at outside institutions before referral to the University of Michigan Multidisciplinary Melanoma Program between 2006 and 2009. These cases were reviewed and clinical follow-up obtained. After internal review of the SLN material, 13 (8 %) of 167 cases had major discrepancies in diagnosis that impacted patient management and prognosis. The disease of five patients was subsequently downstaged and the disease of eight patients was upstaged after internal review of the SLNs and reversal in diagnoses. There appears to be a small yet significant rate of discordance in diagnosis of the SLN for melanoma after expert histopathologic review. The implications of this discordance and revision of diagnosis is substantial. Expert histopathologic review of the SLN warrants consideration to provide the most accurate prognostic information and optimal patient care.

Academic Performance among Children with Inflammatory Bowel Disease: A Population-Based Study.

PubMed

Singh, Harminder; Nugent, Zoann; Brownell, Marni; Targownik, Laura E; Roos, Leslie L; Bernstein, Charles N

2015-05-01

To determine grade 12 academic performance for children with inflammatory bowel disease (IBD). Children diagnosed with IBD at age<17 years identified from the population-based University of Manitoba IBD Epidemiology Database were matched by age-, sex-, and area of residence to 10 randomly selected controls. Grade 12 educational outcomes (scores on the provincial grade 12 language arts and mathematics standards tests, and enrollment-in-grade-12-by- age-17) were determined by linkage to the province wide Manitoba Education Database. Linear and logistic regression analysis were used to compare the educational outcomes, adjusting for socioeconomic status and comorbidities and evaluate predictors of educational outcomes among children with IBD. Grade 12 educational outcomes among 337 children with IBD were compared with 3093 without IBD. There were no significant differences among the 2 groups in the standardized scores (language arts: P=.31; mathematics: P=.48) or enrollment-in-grade-12-by- age-17 (P=.25). Lower socioeconomic status and diagnosis with mental health problems 6 months prior to and 6 months post-IBD diagnosis were independent predictors of worse educational outcomes. There was no significant effect of age of diagnosis of IBD, type of IBD (ulcerative colitis vs Crohn's disease), use of corticosteroids or immunomodulator agents, hospitalizations, or surgery for IBD. Children with IBD on average achieve similar levels of academic achievement in grade 12 as those without IBD. This study underscores the educational impact of mental health conditions at IBD diagnosis among children. Copyright © 2015 Elsevier Inc. All rights reserved.

Characterizing Strokes and Stroke Mimics Transported by Helicopter Emergency Medical Services.

PubMed

Sequeira, Denisse; Martin-Gill, Christian; Kesinger, Matthew R; Thompson, Laura R; Jovin, Tudor G; Massaro, Lori M; Guyette, Francis X

2016-01-01

Stroke is the leading cause of disability in the United States with most of these patients being transported by emergency medical services. These providers are the first medical point of contact and must be able to rapidly and accurately identify stroke and transport these patients to the appropriate facilities for treatment. There are many conditions that have similar presentations to stroke and can be mistakenly identified as potential strokes, thereby affecting the initial prehospital triage. A retrospective observational study examined patients with suspected strokes transported to a single comprehensive stroke center (CSC) by a helicopter emergency medical service (HEMS) agency from 2007 through 2013. Final diagnosis was extracted from the Get with the Guidelines (GWTG) database and hospital discharge diagnosis for those not included in the database. Frequencies of discharge diagnosis were calculated and then stratified into interfacility vs. scene transfers. In this study 6,243 patients were transported: 3,376 patients were screened as potential strokes, of which 2,527 had a final diagnosis of stroke (2,242 ischemic stroke and 285 transient ischemic attack), 166 had intracranial hemorrhage, and 655 were stroke mimics. Stroke mimics were more common among scene transfers (223, 32%) than among interfacility transfers (432, 16%). In our study approximately 20% of potential stroke patients transported via HEMS were mimics. Identifying the need for CSC resources can be an important factor in creating a prehospital triage tool to facilitate patient transport to an appropriate health care facility.

The National Institutes of Health Affordable Cancer Technologies Program: Improving Access to Resource-Appropriate Technologies for Cancer Detection, Diagnosis, Monitoring, and Treatment in Low- and Middle-Income Countries

PubMed Central

Divi, Rao; Gwede, Michael; Tandon, Pushpa; Sorg, Brian S.; Ossandon, Miguel R.; Agrawal, Lokesh; Pai, Vinay; Baker, Houston; Lash, Tiffani Bailey

2016-01-01

Point-of-care (POC) technologies have proved valuable in cancer detection, diagnosis, monitoring, and treatment in the developed world, and have shown promise in low-and-middle-income countries (LMIC) as well. Despite this promise, the unique design constraints presented in low-resource settings, coupled with the variety of country-specific regulatory and institutional dynamics, have made it difficult for investigators to translate successful POC cancer interventions to the LMIC markets. In response to this need, the National Cancer Institute has partnered with the National Institute of Biomedical Imaging and Bioengineering to create the National Institutes of Health Affordable Cancer Technologies (ACTs) program. This program seeks to simplify the pathway to market by funding multidisciplinary investigative teams to adapt and validate the existing technologies for cancer detection, diagnosis, and treatment in LMIC settings. The various projects under ACTs range from microfluidic cancer diagnostic tools to novel treatment devices, each geared for successful clinical adaptation to LMIC settings. Via progression through this program, each POC innovation will be uniquely leveraged for successful clinical translation to LMICs in a way not before seen in this arena. PMID:27730015

Accuracy of Canadian health administrative databases in identifying patients with rheumatoid arthritis: a validation study using the medical records of rheumatologists.

PubMed

Widdifield, Jessica; Bernatsky, Sasha; Paterson, J Michael; Tu, Karen; Ng, Ryan; Thorne, J Carter; Pope, Janet E; Bombardier, Claire

2013-10-01

Health administrative data can be a valuable tool for disease surveillance and research. Few studies have rigorously evaluated the accuracy of administrative databases for identifying rheumatoid arthritis (RA) patients. Our aim was to validate administrative data algorithms to identify RA patients in Ontario, Canada. We performed a retrospective review of a random sample of 450 patients from 18 rheumatology clinics. Using rheumatologist-reported diagnosis as the reference standard, we tested and validated different combinations of physician billing, hospitalization, and pharmacy data. One hundred forty-nine rheumatology patients were classified as having RA and 301 were classified as not having RA based on our reference standard definition (study RA prevalence 33%). Overall, algorithms that included physician billings had excellent sensitivity (range 94-100%). Specificity and positive predictive value (PPV) were modest to excellent and increased when algorithms included multiple physician claims or specialist claims. The addition of RA medications did not significantly improve algorithm performance. The algorithm of "(1 hospitalization RA code ever) OR (3 physician RA diagnosis codes [claims] with ≥1 by a specialist in a 2-year period)" had a sensitivity of 97%, specificity of 85%, PPV of 76%, and negative predictive value of 98%. Most RA patients (84%) had an RA diagnosis code present in the administrative data within ±1 year of a rheumatologist's documented diagnosis date. We demonstrated that administrative data can be used to identify RA patients with a high degree of accuracy. RA diagnosis date and disease duration are fairly well estimated from administrative data in jurisdictions of universal health care insurance. Copyright © 2013 by the American College of Rheumatology.