The Unified Medical Language System: an informatics research collaboration.

PubMed

Humphreys, B L; Lindberg, D A; Schoolman, H M; Barnett, G O

1998-01-01

In 1986, the National Library of Medicine (NLM) assembled a large multidisciplinary, multisite team to work on the Unified Medical Language System (UMLS), a collaborative research project aimed at reducing fundamental barriers to the application of computers to medicine. Beyond its tangible products, the UMLS Knowledge Sources, and its influence on the field of informatics, the UMLS project is an interesting case study in collaborative research and development. It illustrates the strengths and challenges of substantive collaboration among widely distributed research groups. Over the past decade, advances in computing and communications have minimized the technical difficulties associated with UMLS collaboration and also facilitated the development, dissemination, and use of the UMLS Knowledge Sources. The spread of the World Wide Web has increased the visibility of the information access problems caused by multiple vocabularies and many information sources which are the focus of UMLS work. The time is propitious for building on UMLS accomplishments and making more progress on the informatics research issues first highlighted by the UMLS project more than 10 years ago.

Requirements for Medical Modeling Languages

PubMed Central

van der Maas, Arnoud A.F.; Ter Hofstede, Arthur H.M.; Ten Hoopen, A. Johannes

2001-01-01

Objective: The development of tailor-made domain-specific modeling languages is sometimes desirable in medical informatics. Naturally, the development of such languages should be guided. The purpose of this article is to introduce a set of requirements for such languages and show their application in analyzing and comparing existing modeling languages. Design: The requirements arise from the practical experience of the authors and others in the development of modeling languages in both general informatics and medical informatics. The requirements initially emerged from the analysis of information modeling techniques. The requirements are designed to be orthogonal, i.e., one requirement can be violated without violation of the others. Results: The proposed requirements for any modeling language are that it be “formal” with regard to syntax and semantics, “conceptual,” “expressive,” “comprehensible,” “suitable,” and “executable.” The requirements are illustrated using both the medical logic modules of the Arden Syntax as a running example and selected examples from other modeling languages. Conclusion: Activity diagrams of the Unified Modeling Language, task structures for work flows, and Petri nets are discussed with regard to the list of requirements, and various tradeoffs are thus made explicit. It is concluded that this set of requirements has the potential to play a vital role in both the evaluation of existing domain-specific languages and the development of new ones. PMID:11230383

ODMSummary: A Tool for Automatic Structured Comparison of Multiple Medical Forms Based on Semantic Annotation with the Unified Medical Language System.

PubMed

Storck, Michael; Krumm, Rainer; Dugas, Martin

2016-01-01

Medical documentation is applied in various settings including patient care and clinical research. Since procedures of medical documentation are heterogeneous and developed further, secondary use of medical data is complicated. Development of medical forms, merging of data from different sources and meta-analyses of different data sets are currently a predominantly manual process and therefore difficult and cumbersome. Available applications to automate these processes are limited. In particular, tools to compare multiple documentation forms are missing. The objective of this work is to design, implement and evaluate the new system ODMSummary for comparison of multiple forms with a high number of semantically annotated data elements and a high level of usability. System requirements are the capability to summarize and compare a set of forms, enable to estimate the documentation effort, track changes in different versions of forms and find comparable items in different forms. Forms are provided in Operational Data Model format with semantic annotations from the Unified Medical Language System. 12 medical experts were invited to participate in a 3-phase evaluation of the tool regarding usability. ODMSummary (available at https://odmtoolbox.uni-muenster.de/summary/summary.html) provides a structured overview of multiple forms and their documentation fields. This comparison enables medical experts to assess multiple forms or whole datasets for secondary use. System usability was optimized based on expert feedback. The evaluation demonstrates that feedback from domain experts is needed to identify usability issues. In conclusion, this work shows that automatic comparison of multiple forms is feasible and the results are usable for medical experts.

Information Object Definition–based Unified Modeling Language Representation of DICOM Structured Reporting

PubMed Central

Tirado-Ramos, Alfredo; Hu, Jingkun; Lee, K.P.

2002-01-01

Supplement 23 to DICOM (Digital Imaging and Communications for Medicine), Structured Reporting, is a specification that supports a semantically rich representation of image and waveform content, enabling experts to share image and related patient information. DICOM SR supports the representation of textual and coded data linked to images and waveforms. Nevertheless, the medical information technology community needs models that work as bridges between the DICOM relational model and open object-oriented technologies. The authors assert that representations of the DICOM Structured Reporting standard, using object-oriented modeling languages such as the Unified Modeling Language, can provide a high-level reference view of the semantically rich framework of DICOM and its complex structures. They have produced an object-oriented model to represent the DICOM SR standard and have derived XML-exchangeable representations of this model using World Wide Web Consortium specifications. They expect the model to benefit developers and system architects who are interested in developing applications that are compliant with the DICOM SR specification. PMID:11751804

Standard Generalized Markup Language for self-defining structured reports.

PubMed

Kahn, C E

1999-01-01

Structured reporting is the process of using standardized data elements and predetermined data-entry formats to record observations. The Standard Generalized Markup Language (SGML; International Standards Organization (ISO) 8879:1986)--an open, internationally accepted standard for document interchange was used to encode medical observations acquired in an Internet-based structured reporting system. The resulting report is self-documenting: it includes a definition of its allowable data fields and values encoded as a report-specific SGML document type definition (DTD). The data-entry forms, DTD, and report document instances are based on report specifications written in a simple, SGML-based language designed for that purpose. Reporting concepts can be linked with those of external vocabularies such as the Unified Medical Language System (UMLS) Metathesaurus. The use of open standards such as SGML is an important step in the creation of open, universally comprehensible structured reports.

ODMSummary: A Tool for Automatic Structured Comparison of Multiple Medical Forms Based on Semantic Annotation with the Unified Medical Language System

PubMed Central

Krumm, Rainer; Dugas, Martin

2016-01-01

Introduction Medical documentation is applied in various settings including patient care and clinical research. Since procedures of medical documentation are heterogeneous and developed further, secondary use of medical data is complicated. Development of medical forms, merging of data from different sources and meta-analyses of different data sets are currently a predominantly manual process and therefore difficult and cumbersome. Available applications to automate these processes are limited. In particular, tools to compare multiple documentation forms are missing. The objective of this work is to design, implement and evaluate the new system ODMSummary for comparison of multiple forms with a high number of semantically annotated data elements and a high level of usability. Methods System requirements are the capability to summarize and compare a set of forms, enable to estimate the documentation effort, track changes in different versions of forms and find comparable items in different forms. Forms are provided in Operational Data Model format with semantic annotations from the Unified Medical Language System. 12 medical experts were invited to participate in a 3-phase evaluation of the tool regarding usability. Results ODMSummary (available at https://odmtoolbox.uni-muenster.de/summary/summary.html) provides a structured overview of multiple forms and their documentation fields. This comparison enables medical experts to assess multiple forms or whole datasets for secondary use. System usability was optimized based on expert feedback. Discussion The evaluation demonstrates that feedback from domain experts is needed to identify usability issues. In conclusion, this work shows that automatic comparison of multiple forms is feasible and the results are usable for medical experts. PMID:27736972

DICOM static and dynamic representation through unified modeling language

NASA Astrophysics Data System (ADS)

Martinez-Martinez, Alfonso; Jimenez-Alaniz, Juan R.; Gonzalez-Marquez, A.; Chavez-Avelar, N.

2004-04-01

The DICOM standard, as all standards, specifies in generic way the management in network and storage media environments of digital medical images and their related information. However, understanding the specifications for particular implementation is not a trivial work. Thus, this work is about understanding and modelling parts of the DICOM standard using Object Oriented methodologies, as part of software development processes. This has offered different static and dynamic views, according with the standard specifications, and the resultant models have been represented through the Unified Modelling Language (UML). The modelled parts are related to network conformance claim: Network Communication Support for Message Exchange, Message Exchange, Information Object Definitions, Service Class Specifications, Data Structures and Encoding, and Data Dictionary. The resultant models have given a better understanding about DICOM parts and have opened the possibility of create a software library to develop DICOM conformable PACS applications.

Information object definition-based unified modeling language representation of DICOM structured reporting: a case study of transcoding DICOM to XML.

PubMed

Tirado-Ramos, Alfredo; Hu, Jingkun; Lee, K P

2002-01-01

Supplement 23 to DICOM (Digital Imaging and Communications for Medicine), Structured Reporting, is a specification that supports a semantically rich representation of image and waveform content, enabling experts to share image and related patient information. DICOM SR supports the representation of textual and coded data linked to images and waveforms. Nevertheless, the medical information technology community needs models that work as bridges between the DICOM relational model and open object-oriented technologies. The authors assert that representations of the DICOM Structured Reporting standard, using object-oriented modeling languages such as the Unified Modeling Language, can provide a high-level reference view of the semantically rich framework of DICOM and its complex structures. They have produced an object-oriented model to represent the DICOM SR standard and have derived XML-exchangeable representations of this model using World Wide Web Consortium specifications. They expect the model to benefit developers and system architects who are interested in developing applications that are compliant with the DICOM SR specification.

Resources for comparing the speed and performance of medical autocoders.

PubMed

Berman, Jules J

2004-06-15

Concept indexing is a popular method for characterizing medical text, and is one of the most important early steps in many data mining efforts. Concept indexing differs from simple word or phrase indexing because concepts are typically represented by a nomenclature code that binds a medical concept to all equivalent representations. A concept search on the term renal cell carcinoma would be expected to find occurrences of hypernephroma, and renal carcinoma (concept equivalents). The purpose of this study is to provide freely available resources to compare speed and performance among different autocoders. These tools consist of: 1) a public domain autocoder written in Perl (a free and open source programming language that installs on any operating system); 2) a nomenclature database derived from the unencumbered subset of the publicly available Unified Medical Language System; 3) a large corpus of autocoded output derived from a publicly available medical text. A simple lexical autocoder was written that parses plain-text into a listing of all 1,2,3, and 4-word strings contained in text, assigning a nomenclature code for text strings that match terms in the nomenclature. The nomenclature used is the unencumbered subset of the 2003 Unified Medical Language System (UMLS). The unencumbered subset of UMLS was reduced to exclude homonymous one-word terms and proper names, resulting in a term/code data dictionary containing about a half million medical terms. The Online Mendelian Inheritance in Man (OMIM), a 92+ Megabyte publicly available medical opus, was used as sample medical text for the autocoder. The autocoding Perl script is remarkably short, consisting of just 38 command lines. The 92+ Megabyte OMIM file was completely autocoded in 869 seconds on a 2.4 GHz processor (less than 10 seconds per Megabyte of text). The autocoded output file (9,540,442 bytes) contains 367,963 coded terms from OMIM and is distributed with this manuscript. A public domain Perl script is provided that can parse through plain-text files of any length, matching concepts against an external nomenclature. The script and associated files can be used freely to compare the speed and performance of autocoding software.

The Unified Language Testing Plan: Speaking Proficiency Test. Russian Pilot Validation Studies. Report Number 2.

ERIC Educational Resources Information Center

Thornton, Julie A.

The report describes one segment of the Federal Language Testing Board's Unified Language Testing Plan (ULTP), the validation of the speaking proficiency test in Russian. The ULTP is a project to increase standardization of foreign language proficiency measurement and promote sharing of resources among testing programs in the federal government.…

The Unified Language Testing Plan: Speaking Proficiency Test. Spanish and English Pilot Validation Studies. Report Number 1.

ERIC Educational Resources Information Center

Thornton, Julie A.

This report describes one segment of the Federal Language Testing Board's Unified Language Testing Plan (ULTP), the validation of speaking proficiency tests in Spanish and English. The ULTP is a project to increase standardization of foreign language proficiency measurement and promote sharing of resources among testing programs in the federal…

In Search of a Unified Model of Language Contact

ERIC Educational Resources Information Center

Winford, Donald

2013-01-01

Much previous research has pointed to the need for a unified framework for language contact phenomena -- one that would include social factors and motivations, structural factors and linguistic constraints, and psycholinguistic factors involved in processes of language processing and production. While Contact Linguistics has devoted a great deal…

Using UMLS to map from a library to a clinical classification: Improving the functionality of a digital library.

PubMed

Robinson, Judas; de Lusignan, Simon; Kostkova, Patty; Madge, Bruce

2006-01-01

The Metathesaurus of the Unified Medical Language System (UMLS) offers the possibility of mapping between various medical vocabularies. The Primary Care Electronic Library (PCEL) contains a database of over six thousand Medical Subject Headings (MeSH terms) describing the resources of the electronic library. We were interested to know if it was possible to map from MeSH to the Systemized Nomenclature of Medicine Clinical Terms (SNOMED CT). Such a mapping would aid healthcare professionals to retrieve relevant data from our digital library as it would enable links between clinical systems and indexed material.

"UNICERT," or: Towards the Development of a Unified Language Certificate for German Universities.

ERIC Educational Resources Information Center

Voss, Bernd

The standardization of second language proficiency levels for university students in Germany is discussed. Problems with the current system, in which each university has developed its own program of study and proficiency certification, are examined and a framework for development of a unified language certificate for all universities is outlined.…

UMLS content views appropriate for NLP processing of the biomedical literature vs. clinical text.

PubMed

Demner-Fushman, Dina; Mork, James G; Shooshan, Sonya E; Aronson, Alan R

2010-08-01

Identification of medical terms in free text is a first step in such Natural Language Processing (NLP) tasks as automatic indexing of biomedical literature and extraction of patients' problem lists from the text of clinical notes. Many tools developed to perform these tasks use biomedical knowledge encoded in the Unified Medical Language System (UMLS) Metathesaurus. We continue our exploration of automatic approaches to creation of subsets (UMLS content views) which can support NLP processing of either the biomedical literature or clinical text. We found that suppression of highly ambiguous terms in the conservative AutoFilter content view can partially replace manual filtering for literature applications, and suppression of two character mappings in the same content view achieves 89.5% precision at 78.6% recall for clinical applications. Published by Elsevier Inc.

Evaluation of English Language Development Programs in the Santa Ana Unified School District. A Report on Data System Reliability and Statistical Modeling of Program Impacts.

ERIC Educational Resources Information Center

Mitchell, Douglas E.; Destino, Tom; Karam, Rita

In response to concern about the effectiveness of programs for English-as-a-Second-Language students in California's schools, the Santa Ana Unified School District, in which over 80 percent of students are limited-English-proficient (LEP) conducted a study of both the operations and effectiveness of the district's language development program,…

Rural Navajo Students in Kayenta Unified School District's Special Education Programs: The Effects of Home Location and Language.

ERIC Educational Resources Information Center

Heimbecker, Connie; Bradley-Wilkinson, Evangeline; Nelson, Bernita; Smith, Jody; Whitehair, Marsha; Begay, Mary H.; Bradley, Brian; Gamble, Armanda; McCarty, Nellie; Medina, Catherine; Nelson, Jacob; Pettigrew, Bobbie; Sealander, Karen; Snyder, Maria; White, Sherri; Redsteer, Denise; Prater, Greg

In Kayenta Unified School District (KUSD) on the Navajo Reservation, 92 percent of students come from homes where Navajo is the primary language, but many students entering school are not fluent in either English or Navajo. A survey of 23 educators examined the effects of language and culture on the likelihood that a student would be placed in…

Enhancement of the Acquisition Process for a Combat System-A Case Study to Model the Workflow Processes for an Air Defense System Acquisition

DTIC Science & Technology

2009-12-01

Business Process Modeling BPMN Business Process Modeling Notation SoA Service-oriented Architecture UML Unified Modeling Language CSP...system developers. Supporting technologies include Business Process Modeling Notation ( BPMN ), Unified Modeling Language (UML), model-driven architecture

Integrating unified medical language system and association mining techniques into relevance feedback for biomedical literature search.

PubMed

Ji, Yanqing; Ying, Hao; Tran, John; Dews, Peter; Massanari, R Michael

2016-07-19

Finding highly relevant articles from biomedical databases is challenging not only because it is often difficult to accurately express a user's underlying intention through keywords but also because a keyword-based query normally returns a long list of hits with many citations being unwanted by the user. This paper proposes a novel biomedical literature search system, called BiomedSearch, which supports complex queries and relevance feedback. The system employed association mining techniques to build a k-profile representing a user's relevance feedback. More specifically, we developed a weighted interest measure and an association mining algorithm to find the strength of association between a query and each concept in the article(s) selected by the user as feedback. The top concepts were utilized to form a k-profile used for the next-round search. BiomedSearch relies on Unified Medical Language System (UMLS) knowledge sources to map text files to standard biomedical concepts. It was designed to support queries with any levels of complexity. A prototype of BiomedSearch software was made and it was preliminarily evaluated using the Genomics data from TREC (Text Retrieval Conference) 2006 Genomics Track. Initial experiment results indicated that BiomedSearch increased the mean average precision (MAP) for a set of queries. With UMLS and association mining techniques, BiomedSearch can effectively utilize users' relevance feedback to improve the performance of biomedical literature search.

A comprehensive strategy for designing a Web-based medical curriculum.

PubMed Central

Zucker, J.; Chase, H.; Molholt, P.; Bean, C.; Kahn, R. M.

1996-01-01

In preparing for a full featured online curriculum, it is necessary to develop scaleable strategies for software design that will support the pedagogical goals of the curriculum and which will address the issues of acquisition and updating of materials, of robust content-based linking, and of integration of the online materials into other methods of learning. A complete online curriculum, as distinct from an individual computerized module, must provide dynamic updating of both content and structure and an easy pathway from the professor's notes to the finished online product. At the College of Physicians and Surgeons, we are developing such strategies including a scripted text conversion process that uses the Hypertext Markup Language (HTML) as structural markup rather than as display markup, automated linking by the use of relational databases and the Unified Medical Language System (UMLS), integration of text, images, and multimedia along with interface designs which promote multiple contexts and collaborative study. PMID:8947624

Toward a unified account of comprehension and production in language development.

PubMed

McCauley, Stewart M; Christiansen, Morten H

2013-08-01

Although Pickering & Garrod (P&G) argue convincingly for a unified system for language comprehension and production, they fail to explain how such a system might develop. Using a recent computational model of language acquisition as an example, we sketch a developmental perspective on the integration of comprehension and production. We conclude that only through development can we fully understand the intertwined nature of comprehension and production in adult processing.

Towards a Semantic Lexicon for Biological Language Processing

DOE PAGES

Verspoor, Karin

2005-01-01

This paper explores the use of the resources in the National Library of Medicine's Unified Medical Language System (UMLS) for the construction of a lexicon useful for processing texts in the field of molecular biology. A lexicon is constructed from overlapping terms in the UMLS SPECIALIST lexicon and the UMLS Metathesaurus to obtain both morphosyntactic and semantic information for terms, and the coverage of a domain corpus is assessed. Over 77% of tokens in the domain corpus are found in the constructed lexicon, validating the lexicon's coverage of the most frequent terms in the domain and indicating that the constructedmore » lexicon is potentially an important resource for biological text processing.« less

Object-orientated DBMS techniques for time-oriented medical record.

PubMed

Pinciroli, F; Combi, C; Pozzi, G

1992-01-01

In implementing time-orientated medical record (TOMR) management systems, use of a relational model played a big role. Many applications have been developed to extend query and data manipulation languages to temporal aspects of information. Our experience in developing TOMR revealed some deficiencies inside the relational model, such as: (a) abstract data type definition; (b) unified view of data, at a programming level; (c) management of temporal data; (d) management of signals and images. We identified some first topics to face by an object-orientated approach to database design. This paper describes the first steps in designing and implementing a TOMR by an object-orientated DBMS.

Cross-mapping the ICNP with NANDA, HHCC, Omaha System and NIC for unified nursing language system development. International Classification for Nursing Practice. International Council of Nurses. North American Nursing Diagnosis Association. Home Health Care Classification. Nursing Interventions Classification.

PubMed

Hyun, S; Park, H A

2002-06-01

Nursing language plays an important role in describing and defining nursing phenomena and nursing actions. There are numerous vocabularies describing nursing diagnoses, interventions and outcomes in nursing. However, the lack of a standardized unified nursing language is considered a problem for further development of the discipline of nursing. In an effort to unify the nursing languages, the International Council of Nurses (ICN) has proposed the International Classification for Nursing Practice (ICNP) as a unified nursing language system. The purpose of this study was to evaluate the inclusiveness and expressiveness of the ICNP terms by cross-mapping them with the existing nursing terminologies, specifically the North American Nursing Diagnosis Association (NANDA) taxonomy I, the Omaha System, the Home Health Care Classification (HHCC) and the Nursing Interventions Classification (NIC). Nine hundred and seventy-four terms from these four classifications were cross-mapped with the ICNP terms. This was performed in accordance with the Guidelines for Composing a Nursing Diagnosis and Guidelines for Composing a Nursing Intervention, which were suggested by the ICNP development team. An expert group verified the results. The ICNP Phenomena Classification described 87.5% of the NANDA diagnoses, 89.7% of the HHCC diagnoses and 72.7% of the Omaha System problem classification scheme. The ICNP Action Classification described 79.4% of the NIC interventions, 80.6% of the HHCC interventions and 71.4% of the Omaha System intervention scheme. The results of this study suggest that the ICNP has a sound starting structure for a unified nursing language system and can be used to describe most of the existing terminologies. Recommendations for the addition of terms to the ICNP are provided.

Initial English Language Teacher Education: Processes and Tensions towards a Unifying Curriculum in an Argentinian Province

ERIC Educational Resources Information Center

Banegas, Dario Luis

2014-01-01

In this reflective piece I discuss the process of developing a new unifying initial English language teacher education curriculum in the province of Chubut (Argentina). Trainers and trainees from different institutions were called to work on it with the aim of democratising curriculum development and enhancing involvement among agents. In the…

Meeting medical terminology needs--the Ontology-Enhanced Medical Concept Mapper.

PubMed

Leroy, G; Chen, H

2001-12-01

This paper describes the development and testing of the Medical Concept Mapper, a tool designed to facilitate access to online medical information sources by providing users with appropriate medical search terms for their personal queries. Our system is valuable for patients whose knowledge of medical vocabularies is inadequate to find the desired information, and for medical experts who search for information outside their field of expertise. The Medical Concept Mapper maps synonyms and semantically related concepts to a user's query. The system is unique because it integrates our natural language processing tool, i.e., the Arizona (AZ) Noun Phraser, with human-created ontologies, the Unified Medical Language System (UMLS) and WordNet, and our computer generated Concept Space, into one system. Our unique contribution results from combining the UMLS Semantic Net with Concept Space in our deep semantic parsing (DSP) algorithm. This algorithm establishes a medical query context based on the UMLS Semantic Net, which allows Concept Space terms to be filtered so as to isolate related terms relevant to the query. We performed two user studies in which Medical Concept Mapper terms were compared against human experts' terms. We conclude that the AZ Noun Phraser is well suited to extract medical phrases from user queries, that WordNet is not well suited to provide strictly medical synonyms, that the UMLS Metathesaurus is well suited to provide medical synonyms, and that Concept Space is well suited to provide related medical terms, especially when these terms are limited by our DSP algorithm.

Deaf People, Modernity, and a Contentious Effort to Unify Arab Sign Languages

ERIC Educational Resources Information Center

Al-Fityani, Kinda

2010-01-01

This dissertation examines a project to unify sign languages across twenty-two Arab countries. Proponents of the project, mainly pan-Arab governmental bodies with the support of members of the staff at the Al Jazeera satellite network, have framed the project as a human rights effort to advance the welfare of deaf Arab people. They have urged its…

Dynamic generation of a table of contents with consumer-friendly labels.

PubMed

Miller, Trudi; Leroy, Gondy; Wood, Elizabeth

2006-01-01

Consumers increasingly look to the Internet for health information, but available resources are too difficult for the majority to understand. Interactive tables of contents (TOC) can help consumers access health information by providing an easy to understand structure. Using natural language processing and the Unified Medical Language System (UMLS), we have automatically generated TOCs for consumer health information. The TOC are categorized according to consumer-friendly labels for the UMLS semantic types and semantic groups. Categorizing phrases by semantic types is significantly more correct and relevant. Greater correctness and relevance was achieved with documents that are difficult to read than those at an easier reading level. Pruning TOCs to use categories that consumers favor further increases relevancy and correctness while reducing structural complexity.

An object-oriented mobile health system with usability features.

PubMed

Escarfullet, Krystle; Moore, Cantera; Tucker, Shari; Wei, June

2012-01-01

Mobile health (m-health) comprises the concept of utilising mobile devices to carry out the task of viewing electronic medical records, reserving medical appointments with a patient's medical provider and electronically refilling prescriptions. This paper aims at developing a m-health system to improve usability from a user's perspective. Specifically, it first developed a m-health model by logically linking characteristics of the m-health system together based on information flows. Then, the system requirements were collected by using a developed questionnaire. These requirements were structured and further in-depth analysis was conducted by using an object-oriented approach based on unified modelling language, such as use-case, sequence and analysis class diagrams. This research will be beneficial to decision makers and developers in the mobile healthcare industry.

Cincinnati's Bold New Venture: A Unified K-12 Reading/Communication Arts Program.

ERIC Educational Resources Information Center

Green, Reginald Leon

1989-01-01

Describes a unified reading/communication arts program in the Cincinnati Public School System which uses new basal texts, support materials, and a customized instructional system for each grade level, integrating listening, speaking, reading, writing, and thinking skills into a unified language approach. Discusses intervention strategies,…

A multilingual gold-standard corpus for biomedical concept recognition: the Mantra GSC.

PubMed

Kors, Jan A; Clematide, Simon; Akhondi, Saber A; van Mulligen, Erik M; Rebholz-Schuhmann, Dietrich

2015-09-01

To create a multilingual gold-standard corpus for biomedical concept recognition. We selected text units from different parallel corpora (Medline abstract titles, drug labels, biomedical patent claims) in English, French, German, Spanish, and Dutch. Three annotators per language independently annotated the biomedical concepts, based on a subset of the Unified Medical Language System and covering a wide range of semantic groups. To reduce the annotation workload, automatically generated preannotations were provided. Individual annotations were automatically harmonized and then adjudicated, and cross-language consistency checks were carried out to arrive at the final annotations. The number of final annotations was 5530. Inter-annotator agreement scores indicate good agreement (median F-score 0.79), and are similar to those between individual annotators and the gold standard. The automatically generated harmonized annotation set for each language performed equally well as the best annotator for that language. The use of automatic preannotations, harmonized annotations, and parallel corpora helped to keep the manual annotation efforts manageable. The inter-annotator agreement scores provide a reference standard for gauging the performance of automatic annotation techniques. To our knowledge, this is the first gold-standard corpus for biomedical concept recognition in languages other than English. Other distinguishing features are the wide variety of semantic groups that are being covered, and the diversity of text genres that were annotated. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association.

A methodology for extending domain coverage in SemRep.

PubMed

Rosemblat, Graciela; Shin, Dongwook; Kilicoglu, Halil; Sneiderman, Charles; Rindflesch, Thomas C

2013-12-01

We describe a domain-independent methodology to extend SemRep coverage beyond the biomedical domain. SemRep, a natural language processing application originally designed for biomedical texts, uses the knowledge sources provided by the Unified Medical Language System (UMLS©). Ontological and terminological extensions to the system are needed in order to support other areas of knowledge. We extended SemRep's application by developing a semantic representation of a previously unsupported domain. This was achieved by adapting well-known ontology engineering phases and integrating them with the UMLS knowledge sources on which SemRep crucially depends. While the process to extend SemRep coverage has been successfully applied in earlier projects, this paper presents in detail the step-wise approach we followed and the mechanisms implemented. A case study in the field of medical informatics illustrates how the ontology engineering phases have been adapted for optimal integration with the UMLS. We provide qualitative and quantitative results, which indicate the validity and usefulness of our methodology. Published by Elsevier Inc.

Toward a Bio-Medical Thesaurus: Building the Foundation of the UMLS

PubMed Central

Tuttle, Mark S.; Blois, Marsden S.; Erlbaum, Mark S.; Nelson, Stuart J.; Sherertz, David D.

1988-01-01

The Unified Medical Language System (UMLS) is being designed to provide a uniform user interface to heterogeneous machine-readable bio-medical information resources, such as bibliographic databases, genetic databases, expert systems and patient records.1 Such an interface will have to recognize different ways of saying the same thing, and provide links to ways of saying related things. One way to represent the necessary associations is via a domain thesaurus. As no such thesaurus exists, and because, once built, it will be both sizable and in need of continuous maintenance, its design should include a methodology for building and maintaining it. We propose a methodology, utilizing lexically expanded schema inversion, and a design, called T. Lex, which together form one approach to the problem of defining and building a bio-medical thesaurus. We argue that the semantic locality implicit in such a thesaurus will support model-based reasoning in bio-medicine.2

Two Birds, One Stone: Unintended Consequences and a Potential Solution for Problems With Recovery in Mental Health.

PubMed

Hunt, Marcia G; Resnick, Sandra G

2015-11-01

Recovery began as a social justice movement. In more recent years, professionals have joined the movement, unintentionally co-opting and mainstreaming the more radical goals of these earlier activist consumer movements. The goals of the patient-centered care movement in general medical care are similar to those of "professional recovery." If mental health professionals instead adopted the language and goals of patient-centered care as a first step toward joining the two movements, the recovery movement could reclaim its social justice roots, and progress would be made toward reducing the duality between physical and mental health care systems. Professionals should return the recovery movement to those with lived experience, adopt the unified language of patient-centered care, and align professional transformation efforts under one holistic movement.

[The alteration of Japanese anatomical terminology in the early Showa period and the Japanese language reform campaign].

PubMed

Sawai, Tadashi; Sakai, Tatsuo

2010-03-01

In the second decade of the Showa period, great changes were made in the Japanese anatomical terms. It has been proposed that the presentation of JNA (Jenaer nomina anatomica) was one of the factors leading to the change. The Japanese language reform campaign, however, played an important role. The party kokugoaigo doumei and its successor kokugo kyokai required concise and unified technical terms. The anatomical nomenclature committee of the Japanese Association of Anatomists worked to satisfy this requirement. The committee consulted with nomenclature committees of other medical associations and took account of their opinions. The anatomical nomenclature committee abandoned the literal translation from Latin to Japanese and shaped a succinct Japanese terminology. Modern Japanese anatomical terms are based on this terminology.

Multilayer network of language: A unified framework for structural analysis of linguistic subsystems

NASA Astrophysics Data System (ADS)

Martinčić-Ipšić, Sanda; Margan, Domagoj; Meštrović, Ana

2016-09-01

Recently, the focus of complex networks' research has shifted from the analysis of isolated properties of a system toward a more realistic modeling of multiple phenomena - multilayer networks. Motivated by the prosperity of multilayer approach in social, transport or trade systems, we introduce the multilayer networks for language. The multilayer network of language is a unified framework for modeling linguistic subsystems and their structural properties enabling the exploration of their mutual interactions. Various aspects of natural language systems can be represented as complex networks, whose vertices depict linguistic units, while links model their relations. The multilayer network of language is defined by three aspects: the network construction principle, the linguistic subsystem and the language of interest. More precisely, we construct a word-level (syntax and co-occurrence) and a subword-level (syllables and graphemes) network layers, from four variations of original text (in the modeled language). The analysis and comparison of layers at the word and subword-levels are employed in order to determine the mechanism of the structural influences between linguistic units and subsystems. The obtained results suggest that there are substantial differences between the networks' structures of different language subsystems, which are hidden during the exploration of an isolated layer. The word-level layers share structural properties regardless of the language (e.g. Croatian or English), while the syllabic subword-level expresses more language dependent structural properties. The preserved weighted overlap quantifies the similarity of word-level layers in weighted and directed networks. Moreover, the analysis of motifs reveals a close topological structure of the syntactic and syllabic layers for both languages. The findings corroborate that the multilayer network framework is a powerful, consistent and systematic approach to model several linguistic subsystems simultaneously and hence to provide a more unified view on language.

A Dependable Massive Storage Service for Medical Imaging.

PubMed

Núñez-Gaona, Marco Antonio; Marcelín-Jiménez, Ricardo; Gutiérrez-Martínez, Josefina; Aguirre-Meneses, Heriberto; Gonzalez-Compean, José Luis

2018-05-18

We present the construction of Babel, a distributed storage system that meets stringent requirements on dependability, availability, and scalability. Together with Babel, we developed an application that uses our system to store medical images. Accordingly, we show the feasibility of our proposal to provide an alternative solution for massive scientific storage and describe the software architecture style that manages the DICOM images life cycle, utilizing Babel like a virtual local storage component for a picture archiving and communication system (PACS-Babel Interface). Furthermore, we describe the communication interface in the Unified Modeling Language (UML) and show how it can be extended to manage the hard work associated with data migration processes on PACS in case of updates or disaster recovery.

An Enriched Unified Medical Language System Semantic Network with a Multiple Subsumption Hierarchy

PubMed Central

Zhang, Li; Perl, Yehoshua; Halper, Michael; Geller, James; Cimino, James J.

2004-01-01

Objective: The Unified Medical Language System's (UMLS's) Semantic Network's (SN's) two-tree structure is restrictive because it does not allow a semantic type to be a specialization of several other semantic types. In this article, the SN is expanded into a multiple subsumption structure with a directed acyclic graph (DAG) IS-A hierarchy, allowing a semantic type to have multiple parents. New viable IS-A links are added as warranted. Design: Two methodologies are presented to identify and add new viable IS-A links. The first methodology is based on imposing the characteristic of connectivity on a previously presented partition of the SN. Four transformations are provided to find viable IS-A links in the process of converting the partition's disconnected groups into connected ones. The second methodology identifies new IS-A links through a string matching process involving names and definitions of various semantic types in the SN. A domain expert is needed to review all the results to determine the validity of the new IS-A links. Results: Nineteen new IS-A links are added to the SN, and four new semantic types are also created to support the multiple subsumption framework. The resulting network, called the Enriched Semantic Network (ESN), exhibits a DAG-structured hierarchy. A partition of the ESN containing 19 connected groups is also derived. Conclusion: The ESN is an expanded abstraction of the UMLS compared with the original SN. Its multiple subsumption hierarchy can accommodate semantic types with multiple parents. Its representation thus provides direct access to a broader range of subsumption knowledge. PMID:14764611

An introduction to the Semantic Web for health sciences librarians.

PubMed

Robu, Ioana; Robu, Valentin; Thirion, Benoit

2006-04-01

The paper (1) introduces health sciences librarians to the main concepts and principles of the Semantic Web (SW) and (2) briefly reviews a number of projects on the handling of biomedical information that uses SW technology. The paper is structured into two main parts. "Semantic Web Technology" provides a high-level description, with examples, of the main standards and concepts: extensible markup language (XML), Resource Description Framework (RDF), RDF Schema (RDFS), ontologies, and their utility in information retrieval, concluding with mention of more advanced SW languages and their characteristics. "Semantic Web Applications and Research Projects in the Biomedical Field" is a brief review of the Unified Medical Language System (UMLS), Generalised Architecture for Languages, Encyclopedias and Nomenclatures in Medicine (GALEN), HealthCyberMap, LinkBase, and the thesaurus of the National Cancer Institute (NCI). The paper also mentions other benefits and by-products of the SW, citing projects related to them. Some of the problems facing the SW vision are presented, especially the ways in which the librarians' expertise in organizing knowledge and in structuring information may contribute to SW projects.

English and Identity in Multicultural Contexts: Issues, Challenges, and Opportunities

ERIC Educational Resources Information Center

Lie, Anita

2017-01-01

The increasing dominance of English has brought implications in language policy and the teaching of English in the multicultural Indonesia. A high power language such as English is taught in schools as a language of modern communication, while the national language is regarded as a force of unifying the nation and local languages as carriers of…

Prototyping an institutional IAIMS/UMLS information environment for an academic medical center.

PubMed

Miller, P L; Paton, J A; Clyman, J I; Powsner, S M

1992-07-01

The paper describes a prototype information environment designed to link network-based information resources in an integrated fashion and thus enhance the information capabilities of an academic medical center. The prototype was implemented on a single Macintosh computer to permit exploration of the overall "information architecture" and to demonstrate the various desired capabilities prior to full-scale network-based implementation. At the heart of the prototype are two components: a diverse set of information resources available over an institutional computer network and an information sources map designed to assist users in finding and accessing information resources relevant to their needs. The paper describes these and other components of the prototype and presents a scenario illustrating its use. The prototype illustrates the link between the goals of two National Library of Medicine initiatives, the Integrated Academic Information Management System (IAIMS) and the Unified Medical Language System (UMLS).

A model for indexing medical documents combining statistical and symbolic knowledge.

PubMed

Avillach, Paul; Joubert, Michel; Fieschi, Marius

2007-10-11

To develop and evaluate an information processing method based on terminologies, in order to index medical documents in any given documentary context. We designed a model using both symbolic general knowledge extracted from the Unified Medical Language System (UMLS) and statistical knowledge extracted from a domain of application. Using statistical knowledge allowed us to contextualize the general knowledge for every particular situation. For each document studied, the extracted terms are ranked to highlight the most significant ones. The model was tested on a set of 17,079 French standardized discharge summaries (SDSs). The most important ICD-10 term of each SDS was ranked 1st or 2nd by the method in nearly 90% of the cases. The use of several terminologies leads to more precise indexing. The improvement achieved in the models implementation performances as a result of using semantic relationships is encouraging.

Identifying UMLS concepts from ECG Impressions using KnowledgeMap

PubMed Central

Denny, Joshua C.; Spickard, Anderson; Miller, Randolph A; Schildcrout, Jonathan; Darbar, Dawood; Rosenbloom, S. Trent; Peterson, Josh F.

2005-01-01

Electrocardiogram (ECG) impressions represent a wealth of medical information for potential decision support and drug-effect discovery. Much of this information is inaccessible to automated methods in the free-text portion of the ECG report. We studied the application of the KnowledgeMap concept identifier (KMCI) to map Unified Medical Language System (UMLS) concepts from ECG impressions. ECGs were processed by KMCI and the results scored for accuracy by multiple raters. Reviewers also recorded unidentified concepts through the scoring interface. Overall, KMCI correctly identified 1059 out of 1171 concepts for a recall of 0.90. Precision, indicating the proportion of ECG concepts correctly identified, was 0.94. KMCI was particularly effective at identifying ECG rhythms (330/333), perfusion changes (65/66), and noncardiac medical concepts (11/11). In conclusion, KMCI is an effective method for mapping ECG impressions to UMLS concepts. PMID:16779029

A Model for Indexing Medical Documents Combining Statistical and Symbolic Knowledge.

PubMed Central

Avillach, Paul; Joubert, Michel; Fieschi, Marius

2007-01-01

OBJECTIVES: To develop and evaluate an information processing method based on terminologies, in order to index medical documents in any given documentary context. METHODS: We designed a model using both symbolic general knowledge extracted from the Unified Medical Language System (UMLS) and statistical knowledge extracted from a domain of application. Using statistical knowledge allowed us to contextualize the general knowledge for every particular situation. For each document studied, the extracted terms are ranked to highlight the most significant ones. The model was tested on a set of 17,079 French standardized discharge summaries (SDSs). RESULTS: The most important ICD-10 term of each SDS was ranked 1st or 2nd by the method in nearly 90% of the cases. CONCLUSIONS: The use of several terminologies leads to more precise indexing. The improvement achieved in the model’s implementation performances as a result of using semantic relationships is encouraging. PMID:18693792

Hybrid Semantic Analysis for Mapping Adverse Drug Reaction Mentions in Tweets to Medical Terminology.

PubMed

Emadzadeh, Ehsan; Sarker, Abeed; Nikfarjam, Azadeh; Gonzalez, Graciela

2017-01-01

Social networks, such as Twitter, have become important sources for active monitoring of user-reported adverse drug reactions (ADRs). Automatic extraction of ADR information can be crucial for healthcare providers, drug manufacturers, and consumers. However, because of the non-standard nature of social media language, automatically extracted ADR mentions need to be mapped to standard forms before they can be used by operational pharmacovigilance systems. We propose a modular natural language processing pipeline for mapping (normalizing) colloquial mentions of ADRs to their corresponding standardized identifiers. We seek to accomplish this task and enable customization of the pipeline so that distinct unlabeled free text resources can be incorporated to use the system for other normalization tasks. Our approach, which we call Hybrid Semantic Analysis (HSA), sequentially employs rule-based and semantic matching algorithms for mapping user-generated mentions to concept IDs in the Unified Medical Language System vocabulary. The semantic matching component of HSA is adaptive in nature and uses a regression model to combine various measures of semantic relatedness and resources to optimize normalization performance on the selected data source. On a publicly available corpus, our normalization method achieves 0.502 recall and 0.823 precision (F-measure: 0.624). Our proposed method outperforms a baseline based on latent semantic analysis and another that uses MetaMap.

The Unified Phonetic Transcription for Teaching and Learning Chinese Languages

ERIC Educational Resources Information Center

Shieh, Jiann-Cherng

2011-01-01

In order to preserve distinctive cultures, people anxiously figure out writing systems of their languages as recording tools. Mandarin, Taiwanese and Hakka languages are three major and the most popular dialects of Han languages spoken in Chinese society. Their writing systems are all in Han characters. Various and independent phonetic…

A study of actions in operative notes.

PubMed

Wang, Yan; Pakhomov, Serguei; Burkart, Nora E; Ryan, James O; Melton, Genevieve B

2012-01-01

Operative notes contain rich information about techniques, instruments, and materials used in procedures. To assist development of effective information extraction (IE) techniques for operative notes, we investigated the sublanguage used to describe actions within the operative report 'procedure description' section. Deep parsing results of 362,310 operative notes with an expanded Stanford parser using the SPECIALIST Lexicon resulted in 200 verbs (92% coverage) including 147 action verbs. Nominal action predicates for each action verb were gathered from WordNet, SPECIALIST Lexicon, New Oxford American Dictionary and Stedman's Medical Dictionary. Coverage gaps were seen in existing lexical, domain, and semantic resources (Unified Medical Language System (UMLS) Metathesaurus, SPECIALIST Lexicon, WordNet and FrameNet). Our findings demonstrate the need to construct surgical domain-specific semantic resources for IE from operative notes.

Optimization in Bilingual Language Use

ERIC Educational Resources Information Center

Bhatt, Rakesh M.

2013-01-01

Pieter Muysken's keynote paper, "Language contact outcomes as a result of bilingual optimization strategies", undertakes an ambitious project to theoretically unify different empirical outcomes of language contact, for instance, SLA, pidgins and Creoles, and code-switching. Muysken has dedicated a life-time to researching, rather…

Ontology-based vector space model and fuzzy query expansion to retrieve knowledge on medical computational problem solutions.

PubMed

Bratsas, Charalampos; Koutkias, Vassilis; Kaimakamis, Evangelos; Bamidis, Panagiotis; Maglaveras, Nicos

2007-01-01

Medical Computational Problem (MCP) solving is related to medical problems and their computerized algorithmic solutions. In this paper, an extension of an ontology-based model to fuzzy logic is presented, as a means to enhance the information retrieval (IR) procedure in semantic management of MCPs. We present herein the methodology followed for the fuzzy expansion of the ontology model, the fuzzy query expansion procedure, as well as an appropriate ontology-based Vector Space Model (VSM) that was constructed for efficient mapping of user-defined MCP search criteria and MCP acquired knowledge. The relevant fuzzy thesaurus is constructed by calculating the simultaneous occurrences of terms and the term-to-term similarities derived from the ontology that utilizes UMLS (Unified Medical Language System) concepts by using Concept Unique Identifiers (CUI), synonyms, semantic types, and broader-narrower relationships for fuzzy query expansion. The current approach constitutes a sophisticated advance for effective, semantics-based MCP-related IR.

Knowledge-based approaches to the maintenance of a large controlled medical terminology.

PubMed Central

Cimino, J J; Clayton, P D; Hripcsak, G; Johnson, S B

1994-01-01

OBJECTIVE: Develop a knowledge-based representation for a controlled terminology of clinical information to facilitate creation, maintenance, and use of the terminology. DESIGN: The Medical Entities Dictionary (MED) is a semantic network, based on the Unified Medical Language System (UMLS), with a directed acyclic graph to represent multiple hierarchies. Terms from four hospital systems (laboratory, electrocardiography, medical records coding, and pharmacy) were added as nodes in the network. Additional knowledge about terms, added as semantic links, was used to assist in integration, harmonization, and automated classification of disparate terminologies. RESULTS: The MED contains 32,767 terms and is in active clinical use. Automated classification was successfully applied to terms for laboratory specimens, laboratory tests, and medications. One benefit of the approach has been the automated inclusion of medications into multiple pharmacologic and allergenic classes that were not present in the pharmacy system. Another benefit has been the reduction of maintenance efforts by 90%. CONCLUSION: The MED is a hybrid of terminology and knowledge. It provides domain coverage, synonymy, consistency of views, explicit relationships, and multiple classification while preventing redundancy, ambiguity (homonymy) and misclassification. PMID:7719786

A Semantic Graph Query Language

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

Kaplan, I L

2006-10-16

Semantic graphs can be used to organize large amounts of information from a number of sources into one unified structure. A semantic query language provides a foundation for extracting information from the semantic graph. The graph query language described here provides a simple, powerful method for querying semantic graphs.

Using the Unified Modelling Language (UML) to guide the systemic description of biological processes and systems.

PubMed

Roux-Rouquié, Magali; Caritey, Nicolas; Gaubert, Laurent; Rosenthal-Sabroux, Camille

2004-07-01

One of the main issues in Systems Biology is to deal with semantic data integration. Previously, we examined the requirements for a reference conceptual model to guide semantic integration based on the systemic principles. In the present paper, we examine the usefulness of the Unified Modelling Language (UML) to describe and specify biological systems and processes. This makes unambiguous representations of biological systems, which would be suitable for translation into mathematical and computational formalisms, enabling analysis, simulation and prediction of these systems behaviours.

An Ancestral Language to Speak with the "Other": Closing down Ideological Spaces of a Language Policy in the Peruvian Andes

ERIC Educational Resources Information Center

Zavala, Virginia

2014-01-01

Using a multilayered, ethnographic and critical approach to language policy and planning, this article examines a language policy favoring Quechua in Apurímac in the Southern Peruvian Andes, which is being imagined as an integrated community unified by the local language. This study presents a case in which top-down policies open up ideological…

Language Acquisitional Universals: L1, L2, Pidgins, and FLT.

ERIC Educational Resources Information Center

Wode, Henning

Human capacity for language acquisition is not strictly compartmentalized, with one acquisitional mechanism for the native language and others totally unrelated to it; rather, it consists of a unified mechanism flexible enough to handle various differences in external settings. This learning system operates on the formal properties of the…

Language Arts Resource Guide K-12.

ERIC Educational Resources Information Center

Pitman, John C.

One of a series designed to help districts refine and upgrade their current curricular offerings, this resource guide deals with the development of a unified K-12 language arts curriculum that combines the four major language arts components of listening, speaking, reading, and writing. Following a brief foreword and list of acknowledgments, the…

Language Teacher Cognitions: Complex Dynamic Systems?

ERIC Educational Resources Information Center

Feryok, Anne

2010-01-01

Language teacher cognition research is a growing field. In recent years several features of language teacher cognitions have been noted: they can be complex, ranging over a number of different subjects; they can be dynamic, changing over time and under different influences; and they can be systems, forming unified and cohesive personal or…

Feasibility and Utility of Lexical Analysis for Occupational Health Text.

PubMed

Harber, Philip; Leroy, Gondy

2017-06-01

Assess feasibility and potential utility of natural language processing (NLP) for storing and analyzing occupational health data. Basic NLP lexical analysis methods were applied to 89,000 Mine Safety and Health Administration (MSHA) free text records. Steps included tokenization, term and co-occurrence counts, term annotation, and identifying exposure-health effect relationships. Presence of terms in the Unified Medical Language System (UMLS) was assessed. The methods efficiently demonstrated common exposures, health effects, and exposure-injury relationships. Many workplace terms are not present in UMLS or map inaccurately. Use of free text rather than narrowly defined numerically coded fields is feasible, flexible, and efficient. It has potential to encourage workers and clinicians to provide more data and to support automated knowledge creation. The lexical method used is easily generalizable to other areas. The UMLS vocabularies should be enhanced to be relevant to occupational health.

Medical Response to Haiti Earthquake: Operation Unified Response

DTIC Science & Technology

2011-01-24

NGO’s • 1500 patients seen • 4 tons medical supplies Operation UNIFIED RESPONSE Medical Logistics Support 18 Support to PROMESS Warehouse ... Logistics Advisory Team  Re-organized warehouse  Provided inventory mgmt  Teams at port to organize donations  Forklift support Operation UNIFIED

Analysis and design of hospital management information system based on UML

NASA Astrophysics Data System (ADS)

Ma, Lin; Zhao, Huifang; You, Shi Jun; Ge, Wenyong

2018-05-01

With the rapid development of computer technology, computer information management system has been utilized in many industries. Hospital Information System (HIS) is in favor of providing data for directors, lightening the workload for the medical workers, and improving the workers efficiency. According to the HIS demand analysis and system design, this paper focus on utilizing unified modeling language (UML) models to establish the use case diagram, class diagram, sequence chart and collaboration diagram, and satisfying the demands of the daily patient visit, inpatient, drug management and other relevant operations. At last, the paper summarizes the problems of the system and puts forward an outlook of the HIS system.

Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach.

PubMed

Weng, Wei-Hung; Wagholikar, Kavishwar B; McCray, Alexa T; Szolovits, Peter; Chueh, Henry C

2017-12-01

The medical subdomain of a clinical note, such as cardiology or neurology, is useful content-derived metadata for developing machine learning downstream applications. To classify the medical subdomain of a note accurately, we have constructed a machine learning-based natural language processing (NLP) pipeline and developed medical subdomain classifiers based on the content of the note. We constructed the pipeline using the clinical NLP system, clinical Text Analysis and Knowledge Extraction System (cTAKES), the Unified Medical Language System (UMLS) Metathesaurus, Semantic Network, and learning algorithms to extract features from two datasets - clinical notes from Integrating Data for Analysis, Anonymization, and Sharing (iDASH) data repository (n = 431) and Massachusetts General Hospital (MGH) (n = 91,237), and built medical subdomain classifiers with different combinations of data representation methods and supervised learning algorithms. We evaluated the performance of classifiers and their portability across the two datasets. The convolutional recurrent neural network with neural word embeddings trained-medical subdomain classifier yielded the best performance measurement on iDASH and MGH datasets with area under receiver operating characteristic curve (AUC) of 0.975 and 0.991, and F1 scores of 0.845 and 0.870, respectively. Considering better clinical interpretability, linear support vector machine-trained medical subdomain classifier using hybrid bag-of-words and clinically relevant UMLS concepts as the feature representation, with term frequency-inverse document frequency (tf-idf)-weighting, outperformed other shallow learning classifiers on iDASH and MGH datasets with AUC of 0.957 and 0.964, and F1 scores of 0.932 and 0.934 respectively. We trained classifiers on one dataset, applied to the other dataset and yielded the threshold of F1 score of 0.7 in classifiers for half of the medical subdomains we studied. Our study shows that a supervised learning-based NLP approach is useful to develop medical subdomain classifiers. The deep learning algorithm with distributed word representation yields better performance yet shallow learning algorithms with the word and concept representation achieves comparable performance with better clinical interpretability. Portable classifiers may also be used across datasets from different institutions.

An introduction to the Semantic Web for health sciences librarians*

PubMed Central

Robu, Ioana; Robu, Valentin; Thirion, Benoit

2006-01-01

Objectives: The paper (1) introduces health sciences librarians to the main concepts and principles of the Semantic Web (SW) and (2) briefly reviews a number of projects on the handling of biomedical information that uses SW technology. Methodology: The paper is structured into two main parts. “Semantic Web Technology” provides a high-level description, with examples, of the main standards and concepts: extensible markup language (XML), Resource Description Framework (RDF), RDF Schema (RDFS), ontologies, and their utility in information retrieval, concluding with mention of more advanced SW languages and their characteristics. “Semantic Web Applications and Research Projects in the Biomedical Field” is a brief review of the Unified Medical Language System (UMLS), Generalised Architecture for Languages, Encyclopedias and Nomenclatures in Medicine (GALEN), HealthCyberMap, LinkBase, and the thesaurus of the National Cancer Institute (NCI). The paper also mentions other benefits and by-products of the SW, citing projects related to them. Discussion and Conclusions: Some of the problems facing the SW vision are presented, especially the ways in which the librarians' expertise in organizing knowledge and in structuring information may contribute to SW projects. PMID:16636713

Representing Medical Knowledge in the Form of Structured Text: The Development of Current Disease Descriptions*

PubMed Central

Nelson, Stuart J.; Sherertz, David D.; Erlbaum, Mark S.; Tuttle, Mark S.

1989-01-01

As part of the Unified Medical Language System (UMLS) initiative, some 900 diseases have been described using “structured text.” Structured text is words and short phrases entered under labelled contexts. Vocabulary is not controlled. The contexts comprise a template for the disease description. The structured text is both manipulable by machine and readable by humans. Use of the template was natural, and only a few problems arose in using the template. Instructions to disease description composers must be explicit in definitions of the contexts. Diseases to be described are chosen, after clustering related diseases, according to the distinctions that physicians practicing in the area under question believe are important. Limiting disease descriptions to primitive observations and to entities otherwise described within the corpus appears to be both feasible and desirable.

The Value of Foreign Language in Business.

ERIC Educational Resources Information Center

Stebinger, Arnold

The University of South Carolina's Master's Program in International Business began in June 1974, with 43 students studying German and Spanish. The program began with a 9-week intensive language learning program, followed by a nine-month unified business program, with language instruction twice a week; six weeks of area study concentrating on the…

Summer HILT Experience: ESL and SSL for Elementary School.

ERIC Educational Resources Information Center

Garcia, Marilyn; Grady, Karen

A high intensity language training (HILT) summer program in English as a second language and Spanish as a second language offered to second through eighth grade students in the North Monterey County Unified School District (California) during the summers of 1982 and 1983 is described. The program funding, design, admission, development, and…

A unified representation of findings in clinical radiology using the UMLS and DICOM.

PubMed

Bertaud, Valérie; Lasbleiz, Jérémy; Mougin, Fleur; Burgun, Anita; Duvauferrier, Régis

2008-09-01

Collecting and analyzing findings constitute the basis of medical activity. Computer assisted medical activity raises the problem of modelling findings. We propose a unified representation of findings integrating the representations of findings in the GAMUTS in Radiology [M.M. Reeder, B. Felson, GAMUTS in radiology Comprehensive lists of roentgen differential diagnosis, fourth ed., 2003], the Unified Medical Language System (UMLS), and the Digital Imaging and Communication in Medicine Structured Report (DICOM-SR). Starting from a corpus of findings in bone and joint radiology [M.M. Reeder, B. Felson, GAMUTS in Radiology comprehensive lists of roentgen differential diagnosis, fourth ed., 2003] (3481 words), an automated mapping to the UMLS was performed with the Metamap Program. The resulting UMLS terms and Semantic Types were analyzed in order to find a generic template in accordance with DICOM-SR structure. UMLS Concepts were missing for 45% of the GAMUTS findings. Three kinds of regularities were observed in the way the Semantic Types were combined: "pathological findings", "physiological findings" and "anatomical findings". A generic and original DICOM-SR template modelling finding was proposed. It was evaluated for representing GAMUTS jaws findings. 21% missing terms had to be picked up from Radlex (5%) or created (16%). This article shows that it is possible to represent findings using the UMLS and the DICOM SR formalism with a semi-automated method. The Metamap program helped to find a model to represent the semantic structure of free texts with standardized terms (UMLS Concepts). Nevertheless, the coverage of the UMLS is not comprehensive. This study shows that the UMLS should include more technical concepts and more concepts regarding findings, signs and symptoms to be suitable for radiology representation. The semi-automated translation of the whole GAMUTS using the UMLS concepts and the DICOM SR relations could help to create or supplement the DCMR Templates and Context Groups pertaining to the description of imaging findings.

A multilingual gold-standard corpus for biomedical concept recognition: the Mantra GSC

PubMed Central

Clematide, Simon; Akhondi, Saber A; van Mulligen, Erik M; Rebholz-Schuhmann, Dietrich

2015-01-01

Objective To create a multilingual gold-standard corpus for biomedical concept recognition. Materials and methods We selected text units from different parallel corpora (Medline abstract titles, drug labels, biomedical patent claims) in English, French, German, Spanish, and Dutch. Three annotators per language independently annotated the biomedical concepts, based on a subset of the Unified Medical Language System and covering a wide range of semantic groups. To reduce the annotation workload, automatically generated preannotations were provided. Individual annotations were automatically harmonized and then adjudicated, and cross-language consistency checks were carried out to arrive at the final annotations. Results The number of final annotations was 5530. Inter-annotator agreement scores indicate good agreement (median F-score 0.79), and are similar to those between individual annotators and the gold standard. The automatically generated harmonized annotation set for each language performed equally well as the best annotator for that language. Discussion The use of automatic preannotations, harmonized annotations, and parallel corpora helped to keep the manual annotation efforts manageable. The inter-annotator agreement scores provide a reference standard for gauging the performance of automatic annotation techniques. Conclusion To our knowledge, this is the first gold-standard corpus for biomedical concept recognition in languages other than English. Other distinguishing features are the wide variety of semantic groups that are being covered, and the diversity of text genres that were annotated. PMID:25948699

"Understanding" medical school curriculum content using KnowledgeMap.

PubMed

Denny, Joshua C; Smithers, Jeffrey D; Miller, Randolph A; Spickard, Anderson

2003-01-01

To describe the development and evaluation of computational tools to identify concepts within medical curricular documents, using information derived from the National Library of Medicine's Unified Medical Language System (UMLS). The long-term goal of the KnowledgeMap (KM) project is to provide faculty and students with an improved ability to develop, review, and integrate components of the medical school curriculum. The KM concept identifier uses lexical resources partially derived from the UMLS (SPECIALIST lexicon and Metathesaurus), heuristic language processing techniques, and an empirical scoring algorithm. KM differentiates among potentially matching Metathesaurus concepts within a source document. The authors manually identified important "gold standard" biomedical concepts within selected medical school full-content lecture documents and used these documents to compare KM concept recognition with that of a known state-of-the-art "standard"-the National Library of Medicine's MetaMap program. The number of "gold standard" concepts in each lecture document identified by either KM or MetaMap, and the cause of each failure or relative success in a random subset of documents. For 4,281 "gold standard" concepts, MetaMap matched 78% and KM 82%. Precision for "gold standard" concepts was 85% for MetaMap and 89% for KM. The heuristics of KM accurately matched acronyms, concepts underspecified in the document, and ambiguous matches. The most frequent cause of matching failures was absence of target concepts from the UMLS Metathesaurus. The prototypic KM system provided an encouraging rate of concept extraction for representative medical curricular texts. Future versions of KM should be evaluated for their ability to allow administrators, lecturers, and students to navigate through the medical curriculum to locate redundancies, find interrelated information, and identify omissions. In addition, the ability of KM to meet specific, personal information needs should be assessed.

Enabling online studies of conceptual relationships between medical terms: developing an efficient web platform.

PubMed

Albin, Aaron; Ji, Xiaonan; Borlawsky, Tara B; Ye, Zhan; Lin, Simon; Payne, Philip Ro; Huang, Kun; Xiang, Yang

2014-10-07

The Unified Medical Language System (UMLS) contains many important ontologies in which terms are connected by semantic relations. For many studies on the relationships between biomedical concepts, the use of transitively associated information from ontologies and the UMLS has been shown to be effective. Although there are a few tools and methods available for extracting transitive relationships from the UMLS, they usually have major restrictions on the length of transitive relations or on the number of data sources. Our goal was to design an efficient online platform that enables efficient studies on the conceptual relationships between any medical terms. To overcome the restrictions of available methods and to facilitate studies on the conceptual relationships between medical terms, we developed a Web platform, onGrid, that supports efficient transitive queries and conceptual relationship studies using the UMLS. This framework uses the latest technique in converting natural language queries into UMLS concepts, performs efficient transitive queries, and visualizes the result paths. It also dynamically builds a relationship matrix for two sets of input biomedical terms. We are thus able to perform effective studies on conceptual relationships between medical terms based on their relationship matrix. The advantage of onGrid is that it can be applied to study any two sets of biomedical concept relations and the relations within one set of biomedical concepts. We use onGrid to study the disease-disease relationships in the Online Mendelian Inheritance in Man (OMIM). By crossvalidating our results with an external database, the Comparative Toxicogenomics Database (CTD), we demonstrated that onGrid is effective for the study of conceptual relationships between medical terms. onGrid is an efficient tool for querying the UMLS for transitive relations, studying the relationship between medical terms, and generating hypotheses.

Chinese as a Second Language, Level I: Teacher's Manual.

ERIC Educational Resources Information Center

Lew, Helene

The lessons in this booklet are developed for the Chinese Bilingual Pilot Program, San Francisco Unified School District. The main objective is to teach Cantonese to non-Chinese speaking children so that they can use this new language in a meaningful way such as, carry on a simple conversation in that language. The ultimate goal in the oral…

From Unity to Diversity... to Diversity within Unity

ERIC Educational Resources Information Center

Larsen-Freeman, Diane

2012-01-01

For the 25th anniversary issue of "English Teaching Forum," published in 1987, the author wrote about the diversification of the language teaching field. Her point then was that during the preceding years from 1962 to 1987, the language teaching field had diversified: Where earlier there had been a unified approach to language teaching, by 1987,…

An object-oriented class library for medical software development.

PubMed

O'Kane, K C; McColligan, E E

1996-12-01

The objective of this research is the development of a Medical Object Library (MOL) consisting of reusable, inheritable, portable, extendable C++ classes that facilitate rapid development of medical software at reduced cost and increased functionality. The result of this research is a library of class objects that range in function from string and hierarchical file handling entities to high level, procedural agents that perform increasingly complex, integrated tasks. A system built upon these classes is compatible with any other system similarly constructed with respect to data definitions, semantics, data organization and storage. As new objects are built, they can be added to the class library for subsequent use. The MOL is a toolkit of software objects intended to support a common file access methodology, a unified medical record structure, consistent message processing, standard graphical display facilities and uniform data collection procedures. This work emphasizes the relationship that potentially exists between the structure of a hierarchical medical record and procedural language components by means of a hierarchical class library and tree structured file access facility. In doing so, it attempts to establish interest in and demonstrate the practicality of the hierarchical medical record model in the modern context of object oriented programming.

SSBRP Communication & Data System Development using the Unified Modeling Language (UML)

NASA Technical Reports Server (NTRS)

Windrem, May; Picinich, Lou; Givens, John J. (Technical Monitor)

1998-01-01

The Unified Modeling Language (UML) is the standard method for specifying, visualizing, and documenting the artifacts of an object-oriented system under development. UML is the unification of the object-oriented methods developed by Grady Booch and James Rumbaugh, and of the Use Case Model developed by Ivar Jacobson. This paper discusses the application of UML by the Communications and Data Systems (CDS) team to model the ground control and command of the Space Station Biological Research Project (SSBRP) User Operations Facility (UOF). UML is used to define the context of the system, the logical static structure, the life history of objects, and the interactions among objects.

An Evaluation of the UMLS in Representing Corpus Derived Clinical Concepts

PubMed Central

Friedlin, Jeff; Overhage, Marc

2011-01-01

We performed an evaluation of the Unified Medical Language System (UMLS) in representing concepts derived from medical narrative documents from three domains: chest x-ray reports, discharge summaries and admission notes. We detected concepts in these documents by identifying noun phrases (NPs) and N-grams, including unigrams (single words), bigrams (word pairs) and trigrams (word triples). After removing NPs and N-grams that did not represent discrete clinical concepts, we processed the remaining with the UMLS MetaMap program. We manually reviewed the results of MetaMap processing to determine whether MetaMap found full, partial or no representation of the concept. For full representations, we determined whether post-coordination was required. Our results showed that a large portion of concepts found in clinical narrative documents are either unrepresented or poorly represented in the current version of the UMLS Metathesaurus and that post-coordination was often required in order to fully represent a concept. PMID:22195097

Customization of biomedical terminologies.

PubMed

Homo, Julien; Dupuch, Laëtitia; Benbrahim, Allel; Grabar, Natalia; Dupuch, Marie

2012-01-01

Within the biomedical area over one hundred terminologies exist and are merged in the Unified Medical Language System Metathesaurus, which gives over 1 million concepts. When such huge terminological resources are available, the users must deal with them and specifically they must deal with irrelevant parts of these terminologies. We propose to exploit seed terms and semantic distance algorithms in order to customize the terminologies and to limit within them a semantically homogeneous space. An evaluation performed by a medical expert indicates that the proposed approach is relevant for the customization of terminologies and that the extracted terms are mostly relevant to the seeds. It also indicates that different algorithms provide with similar or identical results within a given terminology. The difference is due to the terminologies exploited. A special attention must be paid to the definition of optimal association between the semantic similarity algorithms and the thresholds specific to a given terminology.

Ontology Matching with Semantic Verification.

PubMed

Jean-Mary, Yves R; Shironoshita, E Patrick; Kabuka, Mansur R

2009-09-01

ASMOV (Automated Semantic Matching of Ontologies with Verification) is a novel algorithm that uses lexical and structural characteristics of two ontologies to iteratively calculate a similarity measure between them, derives an alignment, and then verifies it to ensure that it does not contain semantic inconsistencies. In this paper, we describe the ASMOV algorithm, and then present experimental results that measure its accuracy using the OAEI 2008 tests, and that evaluate its use with two different thesauri: WordNet, and the Unified Medical Language System (UMLS). These results show the increased accuracy obtained by combining lexical, structural and extensional matchers with semantic verification, and demonstrate the advantage of using a domain-specific thesaurus for the alignment of specialized ontologies.

Generating Models of Surgical Procedures using UMLS Concepts and Multiple Sequence Alignment

PubMed Central

Meng, Frank; D’Avolio, Leonard W.; Chen, Andrew A.; Taira, Ricky K.; Kangarloo, Hooshang

2005-01-01

Surgical procedures can be viewed as a process composed of a sequence of steps performed on, by, or with the patient’s anatomy. This sequence is typically the pattern followed by surgeons when generating surgical report narratives for documenting surgical procedures. This paper describes a methodology for semi-automatically deriving a model of conducted surgeries, utilizing a sequence of derived Unified Medical Language System (UMLS) concepts for representing surgical procedures. A multiple sequence alignment was computed from a collection of such sequences and was used for generating the model. These models have the potential of being useful in a variety of informatics applications such as information retrieval and automatic document generation. PMID:16779094

Socio-Politico--Pedagogical Problems of Language Teaching in Nigeria

ERIC Educational Resources Information Center

Omoniyi, Ayeomoni Moses

2012-01-01

The languages spoken in Nigeria do not only play significant roles in the socio-political life of the country, but also help in no small measure to unify or integrate the country that is so much diverse in all spheres of life. In realizing these multiplicity of roles the languages play in the country, the Government instituted and enacted a policy…

The physiognomic unity of sign, word, and gesture.

PubMed

Cornejo, Carlos; Musa, Roberto

2017-01-01

Goldin-Meadow & Brentari (G-M&B) are implicitly going against the dominant paradigm in language research, namely, the "speech as written language" metaphor that portrays vocal sounds and bodily signs as means of delivering stable word meanings. We argue that Heinz Werner's classical research on the physiognomic properties of language supports and complements their view of sign and gesture as a unified system.

A Proposed Pattern of Enterprise Architecture

DTIC Science & Technology

2013-02-01

consistent architecture descriptions. UPDM comprises extensions to both OMG’s Unified Modelling Language (UML) and Systems Modelling Language ( SysML ...those who use UML and SysML . These represent significant advancements that enable architecture trade-off analyses, architecture model execution...Language ( SysML ), and thus provides for architectural descriptions that contain a rich set of (formally) connected DoDAF/MoDAF viewpoints expressed

Developing a unified list of physicians' reasoning tasks during clinical encounters.

PubMed

Goldszmidt, Mark; Minda, John Paul; Bordage, Georges

2013-03-01

The clinical reasoning literature focuses on how physicians reason while making decisions, rather than on what they reason about while performing their clinical tasks. In an attempt to provide a common language for discussing, teaching, and researching clinical reasoning, the authors undertook the task of developing a unified list of physicians' reasoning tasks, or what they reason about, during clinical encounters. The authors compiled an initial list of 20 reasoning tasks based on the literature from four content areas--clinical reasoning, communications, medical errors, and clinical guidelines. In the summer and fall of 2010, they surveyed a purposive sample of 46 international experts in clinical reasoning and communications. From the results of the first survey, the authors refined their list of reasoning tasks, then resurveyed 22 of the original participants. From the results of the second survey, they further refined their list and validated the inclusion of the reasoning tasks. Twenty-four of 46 (52%) and 15 of 22 (65%) participants completed the first- and second-round surveys, respectively. Following the second-round survey, the authors' list included 24 reasoning tasks, and a clinical example corresponding to each, that fell into four broad categories: framing the encounter (3), diagnosis (8), management (11), and self-reflection (2). The development of this unified list represents a first step in offering a vocabulary for discussing, reflecting on, teaching, and studying physicians' reasoning tasks during clinical encounters.

Semiotics, Information Science, Documents and Computers.

ERIC Educational Resources Information Center

Warner, Julian

1990-01-01

Discusses the relationship and value of semiotics to the established domains of information science. Highlights include documentation; computer operations; the language of computing; automata theory; linguistics; speech and writing; and the written language as a unifying principle for the document and the computer. (93 references) (LRW)

[Standardization of terminology in laboratory medicine I].

PubMed

Yoon, Soo Young; Yoon, Jong Hyun; Min, Won Ki; Lim, Hwan Sub; Song, Junghan; Chae, Seok Lae; Lee, Chang Kyu; Kwon, Jung Ah; Lee, Kap No

2007-04-01

Standardization of medical terminology is essential for data transmission between health-care institutions or clinical laboratories and for maximizing the benefits of information technology. Purpose of our study was to standardize the medical terms used in the clinical laboratory, such as test names, units, terms used in result descriptions, etc. During the first year of the study, we developed a standard database of concept names for laboratory terms, which covered the terms used in government health care centers, their branch offices, and primary health care units. Laboratory terms were collected from the electronic data interchange (EDI) codes from National Health Insurance Corporation (NHIC), Logical Observation Identifier Names and Codes (LOINC) database, community health centers and their branch offices, and clinical laboratories of representative university medical centers. For standard expression, we referred to the English-Korean/ Korean-English medical dictionary of Korean Medical Association and the rules for foreign language translation. Programs for mapping between LOINC DB and EDI code and for translating English to Korean were developed. A Korean standard laboratory terminology database containing six axial concept names such as components, property, time aspect, system (specimen), scale type, and method type was established for 7,508 test observations. Short names and a mapping table for EDI codes and Unified Medical Language System (UMLS) were added. Synonym tables for concept names, words used in the database, and six axial terms were prepared to make it easier to find the standard terminology with common terms used in the field of laboratory medicine. Here we report for the first time a Korean standard laboratory terminology database for test names, result description terms, result units covering most laboratory tests in primary healthcare centers.

What Does CALL Have to Offer Computer Science and What Does Computer Science Have to Offer CALL?

ERIC Educational Resources Information Center

Cushion, Steve

2006-01-01

We will argue that CALL can usefully be viewed as a subset of computer software engineering and can profit from adopting some of the recent progress in software development theory. The unified modelling language has become the industry standard modelling technique and the accompanying unified process is rapidly gaining acceptance. The manner in…

Pedagogical Issues in Object Orientation.

ERIC Educational Resources Information Center

Nerur, Sridhar; Ramanujan, Sam; Kesh, Someswar

2002-01-01

Discusses the need for people with object-oriented (OO) skills, explains benefits of OO in software development, and addresses some of the difficulties in teaching OO. Topics include the evolution of programming languages; differences between OO and traditional approaches; differences from data modeling; and Unified Modeling Language (UML) and…

PatientsLikeMe: Consumer Health Vocabulary as a Folksonomy

PubMed Central

Smith, Catherine Arnott; Wicks, Paul J.

2008-01-01

PatientsLikeMe is an online social networking community for patients. Subcommunities center on three distinct diagnoses: Amyotrophic Lateral Sclerosis, Multiple Sclerosis and Parkinson’s Disease. Community members can describe their symptoms to others in natural language terms, resulting in folksonomic tags available for clinical analysis and for browsing by other users to find “patients like me”. Forty-three percent of PatientsLikeMe symptom terms are present as exact (24%) or synonymous (19%) terms in the Unified Medical Language System Metathesaurus (National Library of Medicine; 2007AC). Slightly more than half of the symptom terms either do not match the UMLS, or are unclassifiable. A clinical vocabulary, SNOMED CT, accounts for 93% of the matching terms. Analysis of the failed matches reveals challenges for online patient communication, not only with healthcare professionals, but with other patients. In a Web 2.0 environment with lowered barriers between consumers and professionals, a deficiency in knowledge representation affects not only the professionals, but the consumers as well. PMID:18999004

Applying natural language processing techniques to develop a task-specific EMR interface for timely stroke thrombolysis: A feasibility study.

PubMed

Sung, Sheng-Feng; Chen, Kuanchin; Wu, Darren Philbert; Hung, Ling-Chien; Su, Yu-Hsiang; Hu, Ya-Han

2018-04-01

To reduce errors in determining eligibility for intravenous thrombolytic therapy (IVT) in stroke patients through use of an enhanced task-specific electronic medical record (EMR) interface powered by natural language processing (NLP) techniques. The information processing algorithm utilized MetaMap to extract medical concepts from IVT eligibility criteria and expanded the concepts using the Unified Medical Language System Metathesaurus. Concepts identified from clinical notes by MetaMap were compared to those from IVT eligibility criteria. The task-specific EMR interface displays IVT-relevant information by highlighting phrases that contain matched concepts. Clinical usability was assessed with clinicians staffing the acute stroke team by comparing user performance while using the task-specific and the current EMR interfaces. The algorithm identified IVT-relevant concepts with micro-averaged precisions, recalls, and F1 measures of 0.998, 0.812, and 0.895 at the phrase level and of 1, 0.972, and 0.986 at the document level. Users using the task-specific interface achieved a higher accuracy score than those using the current interface (91% versus 80%, p = 0.016) in assessing the IVT eligibility criteria. The completion time between the interfaces was statistically similar (2.46 min versus 1.70 min, p = 0.754). Although the information processing algorithm had room for improvement, the task-specific EMR interface significantly reduced errors in assessing IVT eligibility criteria. The study findings provide evidence to support an NLP enhanced EMR system to facilitate IVT decision-making by presenting meaningful and timely information to clinicians, thereby offering a new avenue for improvements in acute stroke care. Copyright © 2018 Elsevier B.V. All rights reserved.

Building a Natural Language Processing Tool to Identify Patients With High Clinical Suspicion for Kawasaki Disease from Emergency Department Notes.

PubMed

Doan, Son; Maehara, Cleo K; Chaparro, Juan D; Lu, Sisi; Liu, Ruiling; Graham, Amanda; Berry, Erika; Hsu, Chun-Nan; Kanegaye, John T; Lloyd, David D; Ohno-Machado, Lucila; Burns, Jane C; Tremoulet, Adriana H

2016-05-01

Delayed diagnosis of Kawasaki disease (KD) may lead to serious cardiac complications. We sought to create and test the performance of a natural language processing (NLP) tool, the KD-NLP, in the identification of emergency department (ED) patients for whom the diagnosis of KD should be considered. We developed an NLP tool that recognizes the KD diagnostic criteria based on standard clinical terms and medical word usage using 22 pediatric ED notes augmented by Unified Medical Language System vocabulary. With high suspicion for KD defined as fever and three or more KD clinical signs, KD-NLP was applied to 253 ED notes from children ultimately diagnosed with either KD or another febrile illness. We evaluated KD-NLP performance against ED notes manually reviewed by clinicians and compared the results to a simple keyword search. KD-NLP identified high-suspicion patients with a sensitivity of 93.6% and specificity of 77.5% compared to notes manually reviewed by clinicians. The tool outperformed a simple keyword search (sensitivity = 41.0%; specificity = 76.3%). KD-NLP showed comparable performance to clinician manual chart review for identification of pediatric ED patients with a high suspicion for KD. This tool could be incorporated into the ED electronic health record system to alert providers to consider the diagnosis of KD. KD-NLP could serve as a model for decision support for other conditions in the ED. © 2016 by the Society for Academic Emergency Medicine.

The Roles of First Language and Proficiency in L2 Processing of Spanish Clitics: Global Effects

ERIC Educational Resources Information Center

Seibert Hanson, Aroline E.; Carlson, Matthew T.

2014-01-01

We assessed the roles of first language (L1) and second language (L2) proficiency in the processing of preverbal clitics in L2 Spanish by considering the predictions of four processing theories--the Input Processing Theory, the Unified Competition Model, the Amalgamation Model, and the Associative-Cognitive CREED. We compared the performance of L1…

Putting Germany's Language Tests to the Test: An Examination of the Development, Implementation and Efficacy of Using Language Proficiency Tests to Mediate German Citizenship

ERIC Educational Resources Information Center

Laversuch, Iman Makeba

2008-01-01

In an attempt to unify the nation's naturalisation policies, Germany has introduced compulsory language tests as a prerequisite for citizenship. Reactions to this new policy have been sharply divided. After a brief introduction to the sociocultural demography of modern Germany, critical insights are provided into controversial use of literacy as a…

Memory and cognitive control in an integrated theory of language processing.

PubMed

Slevc, L Robert; Novick, Jared M

2013-08-01

Pickering & Garrod's (P&G's) integrated model of production and comprehension includes no explicit role for nonlinguistic cognitive processes. Yet, how domain-general cognitive functions contribute to language processing has become clearer with well-specified theories and supporting data. We therefore believe that their account can benefit by incorporating functions like working memory and cognitive control into a unified model of language processing.

Representing nursing guideline with unified modeling language to facilitate development of a computer system: a case study.

PubMed

Choi, Jeeyae; Choi, Jeungok E

2014-01-01

To provide best recommendations at the point of care, guidelines have been implemented in computer systems. As a prerequisite, guidelines are translated into a computer-interpretable guideline format. Since there are no specific tools to translate nursing guidelines, only a few nursing guidelines are translated and implemented in computer systems. Unified modeling language (UML) is a software writing language and is known to well and accurately represent end-users' perspective, due to the expressive characteristics of the UML. In order to facilitate the development of computer systems for nurses' use, the UML was used to translate a paper-based nursing guideline, and its ease of use and the usefulness were tested through a case study of a genetic counseling guideline. The UML was found to be a useful tool to nurse informaticians and a sufficient tool to model a guideline in a computer program.

Net-centric ACT-R-Based Cognitive Architecture with DEVS Unified Process

DTIC Science & Technology

2011-04-01

effort has been spent in analyzing various forms of requirement specifications, viz, state-based, Natural Language based, UML-based, Rule- based, BPMN ...requirement specifications in one of the chosen formats such as BPMN , DoDAF, Natural Language Processing (NLP) based, UML- based, DSL or simply

A UML model for the description of different brain-computer interface systems.

PubMed

Quitadamo, Lucia Rita; Abbafati, Manuel; Saggio, Giovanni; Marciani, Maria Grazia; Cardarilli, Gian Carlo; Bianchi, Luigi

2008-01-01

BCI research lacks a universal descriptive language among labs and a unique standard model for the description of BCI systems. This results in a serious problem in comparing performances of different BCI processes and in unifying tools and resources. In such a view we implemented a Unified Modeling Language (UML) model for the description virtually of any BCI protocol and we demonstrated that it can be successfully applied to the most common ones such as P300, mu-rhythms, SCP, SSVEP, fMRI. Finally we illustrated the advantages in utilizing a standard terminology for BCIs and how the same basic structure can be successfully adopted for the implementation of new systems.

Psychometric evaluation of a unified Portuguese-language version of the Body Shape Questionnaire in female university students.

PubMed

Silva, Wanderson Roberto; Costa, David; Pimenta, Filipa; Maroco, João; Campos, Juliana Alvares Duarte Bonini

2016-07-21

The objectives of this study were to develop a unified Portuguese-language version, for use in Brazil and Portugal, of the Body Shape Questionnaire (BSQ) and to estimate its validity, reliability, and internal consistency in Brazilian and Portuguese female university students. Confirmatory factor analysis was performed using both original (34-item) and shortened (8-item) versions. The model's fit was assessed with χ²/df, CFI, NFI, and RMSEA. Concurrent and convergent validity were assessed. Reliability was estimated through internal consistency and composite reliability (α). Transnational invariance of the BSQ was tested using multi-group analysis. The original 32-item model was refined to present a better fit and adequate validity and reliability. The shortened model was stable in both independent samples and in transnational samples (Brazil and Portugal). The use of this unified version is recommended for the assessment of body shape concerns in both Brazilian and Portuguese college students.

Biomedical Ontologies in Action: Role in Knowledge Management, Data Integration and Decision Support

PubMed Central

Bodenreider, O.

2008-01-01

Summary Objectives To provide typical examples of biomedical ontologies in action, emphasizing the role played by biomedical ontologies in knowledge management, data integration and decision support. Methods Biomedical ontologies selected for their practical impact are examined from a functional perspective. Examples of applications are taken from operational systems and the biomedical literature, with a bias towards recent journal articles. Results The ontologies under investigation in this survey include SNOMED CT, the Logical Observation Identifiers, Names, and Codes (LOINC), the Foundational Model of Anatomy, the Gene Ontology, RxNorm, the National Cancer Institute Thesaurus, the International Classification of Diseases, the Medical Subject Headings (MeSH) and the Unified Medical Language System (UMLS). The roles played by biomedical ontologies are classified into three major categories: knowledge management (indexing and retrieval of data and information, access to information, mapping among ontologies); data integration, exchange and semantic interoperability; and decision support and reasoning (data selection and aggregation, decision support, natural language processing applications, knowledge discovery). Conclusions Ontologies play an important role in biomedical research through a variety of applications. While ontologies are used primarily as a source of vocabulary for standardization and integration purposes, many applications also use them as a source of computable knowledge. Barriers to the use of ontologies in biomedical applications are discussed. PMID:18660879

ContextD: an algorithm to identify contextual properties of medical terms in a Dutch clinical corpus.

PubMed

Afzal, Zubair; Pons, Ewoud; Kang, Ning; Sturkenboom, Miriam C J M; Schuemie, Martijn J; Kors, Jan A

2014-11-29

In order to extract meaningful information from electronic medical records, such as signs and symptoms, diagnoses, and treatments, it is important to take into account the contextual properties of the identified information: negation, temporality, and experiencer. Most work on automatic identification of these contextual properties has been done on English clinical text. This study presents ContextD, an adaptation of the English ConText algorithm to the Dutch language, and a Dutch clinical corpus. We created a Dutch clinical corpus containing four types of anonymized clinical documents: entries from general practitioners, specialists' letters, radiology reports, and discharge letters. Using a Dutch list of medical terms extracted from the Unified Medical Language System, we identified medical terms in the corpus with exact matching. The identified terms were annotated for negation, temporality, and experiencer properties. To adapt the ConText algorithm, we translated English trigger terms to Dutch and added several general and document specific enhancements, such as negation rules for general practitioners' entries and a regular expression based temporality module. The ContextD algorithm utilized 41 unique triggers to identify the contextual properties in the clinical corpus. For the negation property, the algorithm obtained an F-score from 87% to 93% for the different document types. For the experiencer property, the F-score was 99% to 100%. For the historical and hypothetical values of the temporality property, F-scores ranged from 26% to 54% and from 13% to 44%, respectively. The ContextD showed good performance in identifying negation and experiencer property values across all Dutch clinical document types. Accurate identification of the temporality property proved to be difficult and requires further work. The anonymized and annotated Dutch clinical corpus can serve as a useful resource for further algorithm development.

UArizona at the CLEF eRisk 2017 Pilot Task: Linear and Recurrent Models for Early Depression Detection

PubMed Central

Sadeque, Farig; Xu, Dongfang; Bethard, Steven

2017-01-01

The 2017 CLEF eRisk pilot task focuses on automatically detecting depression as early as possible from a users’ posts to Reddit. In this paper we present the techniques employed for the University of Arizona team’s participation in this early risk detection shared task. We leveraged external information beyond the small training set, including a preexisting depression lexicon and concepts from the Unified Medical Language System as features. For prediction, we used both sequential (recurrent neural network) and non-sequential (support vector machine) models. Our models perform decently on the test data, and the recurrent neural models perform better than the non-sequential support vector machines while using the same feature sets. PMID:29075167

The UMLS Knowledge Sources: Tools for Building Better User Interfaces

PubMed Central

Lindberg, Donald A. B.; Humphreys, Betsy L.

1990-01-01

The current focus of the National Library of Medicine's Unified Medical Language System (UMLS) project is the development, testing, and evaluation of the first versions of three new knowledge sources: the Metathesaurus, the Semantic Network, and the Information Sources Map. These three knowledge sources can be used by interface programs to conduct an intelligent interaction with the user and to make the conceptual link between the user's question and relevant machine-readable information. NLM is providing experimental copies of the initial versions of the UMLS knowledge sources in exchange for feedback on ways they can and should be improved. The hope is that the results of such experimentation will provide both immediate improvements in biomedical information service and useful suggestions for enhancements to the UMLS.

Unifying K-12 Learning Processes: Integrating Curricula through Learning

ERIC Educational Resources Information Center

Bosse, Michael J.; Fogarty, Elizabeth A.

2011-01-01

This study was designed to examine whether a set of cross-curricular learning processes could be found in the respective K-12 US national standards for math, language arts, foreign language, science, social studies, fine arts, and technology. Using a qualitative research methodology, the standards from the national associations for these content…

Worldwide State of Language MOOCs

ERIC Educational Resources Information Center

Perifanou, Maria

2016-01-01

In the age of globalization, the need for language learning is greater than ever before. "Globalization is a process by which the people of the world are unified into a single society and [function] together" (Chomsky, 2006, cited in Ivan, 2012, p. 81). As global citizens we need to be able to work in settings characterized by linguistic…

Educational Technology Acceptance across Cultures: A Validation of the Unified Theory of Acceptance and Use of Technology in the Context of Turkish National Culture

ERIC Educational Resources Information Center

Gogus, Aytac; Nistor, Nicolae; Riley, Richard W.; Lerche, Thomas

2012-01-01

The Unified Theory of Acceptance and Use of Technology (UTAUT; Venkatesh et al., 2003, 2012) proposes a major model of educational technology acceptance (ETA) which has been yet validated only in few languages and cultures. Therefore, this study aims at extending the applicability of UTAUT to Turkish culture. Based on acceptance and cultural data…

Medical Concept Normalization in Social Media Posts with Recurrent Neural Networks.

PubMed

Tutubalina, Elena; Miftahutdinov, Zulfat; Nikolenko, Sergey; Malykh, Valentin

2018-06-12

Text mining of scientific libraries and social media has already proven itself as a reliable tool for drug repurposing and hypothesis generation. The task of mapping a disease mention to a concept in a controlled vocabulary, typically to the standard thesaurus in the Unified Medical Language System (UMLS), is known as medical concept normalization. This task is challenging due to the differences in the use of medical terminology between health care professionals and social media texts coming from the lay public. To bridge this gap, we use sequence learning with recurrent neural networks and semantic representation of one- or multi-word expressions: we develop end-to-end architectures directly tailored to the task, including bidirectional Long Short-Term Memory, Gated Recurrent Units with an attention mechanism, and additional semantic similarity features based on UMLS. Our evaluation against a standard benchmark shows that recurrent neural networks improve results over an effective baseline for classification based on convolutional neural networks. A qualitative examination of mentions discovered in a dataset of user reviews collected from popular online health information platforms as well as a quantitative evaluation both show improvements in the semantic representation of health-related expressions in social media. Copyright © 2018. Published by Elsevier Inc.

Terminology tools: state of the art and practical lessons.

PubMed

Cimino, J J

2001-01-01

As controlled medical terminologies evolve from simple code-name-hierarchy arrangements, into rich, knowledge-based ontologies of medical concepts, increased demands are placed on both the developers and users of the terminologies. In response, researchers have begun developing tools to address their needs. The aims of this article are to review previous work done to develop these tools and then to describe work done at Columbia University and New York Presbyterian Hospital (NYPH). Researchers working with the Systematized Nomenclature of Medicine (SNOMED), the Unified Medical Language System (UMLS), and NYPH's Medical Entities Dictionary (MED) have created a wide variety of terminology browsers, editors and servers to facilitate creation, maintenance and use of these terminologies. Although much work has been done, no generally available tools have yet emerged. Consensus on requirement for tool functions, especially terminology servers is emerging. Tools at NYPH have been used successfully to support the integration of clinical applications and the merger of health care institutions. Significant advancement has occurred over the past fifteen years in the development of sophisticated controlled terminologies and the tools to support them. The tool set at NYPH provides a case study to demonstrate one feasible architecture.

A semantic model for multimodal data mining in healthcare information systems.

PubMed

Iakovidis, Dimitris; Smailis, Christos

2012-01-01

Electronic health records (EHRs) are representative examples of multimodal/multisource data collections; including measurements, images and free texts. The diversity of such information sources and the increasing amounts of medical data produced by healthcare institutes annually, pose significant challenges in data mining. In this paper we present a novel semantic model that describes knowledge extracted from the lowest-level of a data mining process, where information is represented by multiple features i.e. measurements or numerical descriptors extracted from measurements, images, texts or other medical data, forming multidimensional feature spaces. Knowledge collected by manual annotation or extracted by unsupervised data mining from one or more feature spaces is modeled through generalized qualitative spatial semantics. This model enables a unified representation of knowledge across multimodal data repositories. It contributes to bridging the semantic gap, by enabling direct links between low-level features and higher-level concepts e.g. describing body parts, anatomies and pathological findings. The proposed model has been developed in web ontology language based on description logics (OWL-DL) and can be applied to a variety of data mining tasks in medical informatics. It utility is demonstrated for automatic annotation of medical data.

Towards a semantic lexicon for biological language processing

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

Verspoor, K.

It is well understood that natural language processing (NLP) applications require sophisticated lexical resources to support their processing goals. In the biomedical domain, we are privileged to have access to extensive terminological resources in the form of controlled vocabularies and ontologies, which have been integrated into the framework of the National Library of Medicine's Unified Medical Language System's (UMLS) Metathesaurus. However, the existence of such terminological resources does not guarantee their utility for NLP. In particular, we have two core requirements for lexical resources for NLP in addition to the basic enumeration of important domain terms: representation of morphosyntactic informationmore » about those terms, specifically part of speech information and inflectional patterns to support parsing and lemma assignment, and representation of semantic information indicating general categorical information about terms, and significant relations between terms to support text understanding and inference (Hahn et at, 1999). Biomedical vocabularies by and large commonly leave out morphosyntactic information, and where they address semantic considerations, they often do so in an unprincipled manner, for instance by indicating a relation between two concepts without indicating the type of that relation. But all is not lost. The UMLS knowledge sources include two additional resources which are relevant - the SPECIALIST lexicon, a lexicon addressing our morphosyntactic requirements, and the Semantic Network, a representation of core conceptual categories in the biomedical domain. The coverage of these two knowledge sources with respect to the full coverage of the Metathesaurus is, however, not entirely clear. Furthermore, when our goals are specifically to process biological text - and often more specifically, text in the molecular biology domain - it is difficult to say whether the coverage of these resources is meaningful. The utility of the UMLS knowledge sources for medical language processing (MLP) has been explored (Johnson, 1999; Friedman et al 2001); the time has now come to repeat these experiments with respect to biological language processing (BLP). To that end, this paper presents an analysis of ihe UMLS resources, specifically with an eye towards constructing lexical resources suitable for BLP. We follow the paradigm presented in Johnson (1999) for medical language, exploring overlap between the UMLS Metathesaurus and SPECIALIST lexicon to construct a morphosyntactic and semantically-specified lexicon, and then further explore the overlap with a relevant domain corpus for molecular biology.« less

Building social cognitive models of language change.

PubMed

Hruschka, Daniel J; Christiansen, Morten H; Blythe, Richard A; Croft, William; Heggarty, Paul; Mufwene, Salikoko S; Pierrehumbert, Janet B; Poplack, Shana

2009-11-01

Studies of language change have begun to contribute to answering several pressing questions in cognitive sciences, including the origins of human language capacity, the social construction of cognition and the mechanisms underlying culture change in general. Here, we describe recent advances within a new emerging framework for the study of language change, one that models such change as an evolutionary process among competing linguistic variants. We argue that a crucial and unifying element of this framework is the use of probabilistic, data-driven models both to infer change and to compare competing claims about social and cognitive influences on language change.

Steps toward Unifying Dual Language Programs, Common Core State Standards, and Critical Pedagogy: Oportunidades, Estrategias Y Retos

ERIC Educational Resources Information Center

Alfaro, Cristina; Durán, Richard; Hunt, Alexandra; Aragón, María José

2014-01-01

Recent education reforms have begun to reframe academic discussion and teacher practice surrounding bilingual educational approaches for preparing "21st century, college and career ready" citizens. Given this broader context, in this article we examine ways that we might join implementation of dual language programs, Common Core State…

Transcultural Education Model. A Guide for Developing Transitional ESL/LEP and Bilingual Programs Kindergarten through Adult Education.

ERIC Educational Resources Information Center

Donaldson, Judy P.

The Transcultural Education Model presents a unified working model for teaching limited English proficient, English-as-Second-Language (ESL), or English-as-Second-Language transcultural (ESLT) students to read, write, and speak English. The model is designed for students and teachers in elementary, secondary, and adult schools. The model is…

High School Teachers' Perspectives on the English Language Arts Common Core State Standards: An Exploratory Study

ERIC Educational Resources Information Center

Ajayi, Lasisi

2016-01-01

This was an exploratory study that examined high school teachers' perspectives about their early experiences with the English language arts Common Core State Standards. The sources of data for the study included a survey and structured interviews. Twenty-three high school ELA teachers from one unified school district in Southern California…

Computer-Assisted Update of a Consumer Health Vocabulary Through Mining of Social Network Data

PubMed Central

2011-01-01

Background Consumer health vocabularies (CHVs) have been developed to aid consumer health informatics applications. This purpose is best served if the vocabulary evolves with consumers’ language. Objective Our objective was to create a computer assisted update (CAU) system that works with live corpora to identify new candidate terms for inclusion in the open access and collaborative (OAC) CHV. Methods The CAU system consisted of three main parts: a Web crawler and an HTML parser, a candidate term filter that utilizes natural language processing tools including term recognition methods, and a human review interface. In evaluation, the CAU system was applied to the health-related social network website PatientsLikeMe.com. The system’s utility was assessed by comparing the candidate term list it generated to a list of valid terms hand extracted from the text of the crawled webpages. Results The CAU system identified 88,994 unique terms 1- to 7-grams (“n-grams” are n consecutive words within a sentence) in 300 crawled PatientsLikeMe.com webpages. The manual review of the crawled webpages identified 651 valid terms not yet included in the OAC CHV or the Unified Medical Language System (UMLS) Metathesaurus, a collection of vocabularies amalgamated to form an ontology of medical terms, (ie, 1 valid term per 136.7 candidate n-grams). The term filter selected 774 candidate terms, of which 237 were valid terms, that is, 1 valid term among every 3 or 4 candidates reviewed. Conclusion The CAU system is effective for generating a list of candidate terms for human review during CHV development. PMID:21586386

Computer-assisted update of a consumer health vocabulary through mining of social network data.

PubMed

Doing-Harris, Kristina M; Zeng-Treitler, Qing

2011-05-17

Consumer health vocabularies (CHVs) have been developed to aid consumer health informatics applications. This purpose is best served if the vocabulary evolves with consumers' language. Our objective was to create a computer assisted update (CAU) system that works with live corpora to identify new candidate terms for inclusion in the open access and collaborative (OAC) CHV. The CAU system consisted of three main parts: a Web crawler and an HTML parser, a candidate term filter that utilizes natural language processing tools including term recognition methods, and a human review interface. In evaluation, the CAU system was applied to the health-related social network website PatientsLikeMe.com. The system's utility was assessed by comparing the candidate term list it generated to a list of valid terms hand extracted from the text of the crawled webpages. The CAU system identified 88,994 unique terms 1- to 7-grams ("n-grams" are n consecutive words within a sentence) in 300 crawled PatientsLikeMe.com webpages. The manual review of the crawled webpages identified 651 valid terms not yet included in the OAC CHV or the Unified Medical Language System (UMLS) Metathesaurus, a collection of vocabularies amalgamated to form an ontology of medical terms, (ie, 1 valid term per 136.7 candidate n-grams). The term filter selected 774 candidate terms, of which 237 were valid terms, that is, 1 valid term among every 3 or 4 candidates reviewed. The CAU system is effective for generating a list of candidate terms for human review during CHV development.

Corpus-based Statistical Screening for Phrase Identification

PubMed Central

Kim, Won; Wilbur, W. John

2000-01-01

Purpose: The authors study the extraction of useful phrases from a natural language database by statistical methods. The aim is to leverage human effort by providing preprocessed phrase lists with a high percentage of useful material. Method: The approach is to develop six different scoring methods that are based on different aspects of phrase occurrence. The emphasis here is not on lexical information or syntactic structure but rather on the statistical properties of word pairs and triples that can be obtained from a large database. Measurements: The Unified Medical Language System (UMLS) incorporates a large list of humanly acceptable phrases in the medical field as a part of its structure. The authors use this list of phrases as a gold standard for validating their methods. A good method is one that ranks the UMLS phrases high among all phrases studied. Measurements are 11-point average precision values and precision-recall curves based on the rankings. Result: The authors find of six different scoring methods that each proves effective in identifying UMLS quality phrases in a large subset of MEDLINE. These methods are applicable both to word pairs and word triples. All six methods are optimally combined to produce composite scoring methods that are more effective than any single method. The quality of the composite methods appears sufficient to support the automatic placement of hyperlinks in text at the site of highly ranked phrases. Conclusion: Statistical scoring methods provide a promising approach to the extraction of useful phrases from a natural language database for the purpose of indexing or providing hyperlinks in text. PMID:10984469

Design, Development, and Initial Evaluation of a Terminology for Clinical Decision Support and Electronic Clinical Quality Measurement.

PubMed

Lin, Yanhua; Staes, Catherine J; Shields, David E; Kandula, Vijay; Welch, Brandon M; Kawamoto, Kensaku

2015-01-01

When coupled with a common information model, a common terminology for clinical decision support (CDS) and electronic clinical quality measurement (eCQM) could greatly facilitate the distributed development and sharing of CDS and eCQM knowledge resources. To enable such scalable knowledge authoring and sharing, we systematically developed an extensible and standards-based terminology for CDS and eCQM in the context of the HL7 Virtual Medical Record (vMR) information model. The development of this terminology entailed three steps: (1) systematic, physician-curated concept identification from sources such as the Health Information Technology Standards Panel (HITSP) and the SNOMED-CT CORE problem list; (2) concept de-duplication leveraging the Unified Medical Language System (UMLS) MetaMap and Metathesaurus; and (3) systematic concept naming using standard terminologies and heuristic algorithms. This process generated 3,046 concepts spanning 68 domains. Evaluation against representative CDS and eCQM resources revealed approximately 50-70% concept coverage, indicating the need for continued expansion of the terminology.

Heterogeneous but “Standard” Coding Systems for Adverse Events: Issues in Achieving Interoperability between Apples and Oranges

PubMed Central

Richesson, Rachel L.; Fung, Kin Wah; Krischer, Jeffrey P.

2008-01-01

Monitoring adverse events (AEs) is an important part of clinical research and a crucial target for data standards. The representation of adverse events themselves requires the use of controlled vocabularies with thousands of needed clinical concepts. Several data standards for adverse events currently exist, each with a strong user base. The structure and features of these current adverse event data standards (including terminologies and classifications) are different, so comparisons and evaluations are not straightforward, nor are strategies for their harmonization. Three different data standards - the Medical Dictionary for Regulatory Activities (MedDRA) and the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) terminologies, and Common Terminology Criteria for Adverse Events (CTCAE) classification - are explored as candidate representations for AEs. This paper describes the structural features of each coding system, their content and relationship to the Unified Medical Language System (UMLS), and unsettled issues for future interoperability of these standards. PMID:18406213

Design, Development, and Initial Evaluation of a Terminology for Clinical Decision Support and Electronic Clinical Quality Measurement

PubMed Central

Lin, Yanhua; Staes, Catherine J; Shields, David E; Kandula, Vijay; Welch, Brandon M; Kawamoto, Kensaku

2015-01-01

When coupled with a common information model, a common terminology for clinical decision support (CDS) and electronic clinical quality measurement (eCQM) could greatly facilitate the distributed development and sharing of CDS and eCQM knowledge resources. To enable such scalable knowledge authoring and sharing, we systematically developed an extensible and standards-based terminology for CDS and eCQM in the context of the HL7 Virtual Medical Record (vMR) information model. The development of this terminology entailed three steps: (1) systematic, physician-curated concept identification from sources such as the Health Information Technology Standards Panel (HITSP) and the SNOMED-CT CORE problem list; (2) concept de-duplication leveraging the Unified Medical Language System (UMLS) MetaMap and Metathesaurus; and (3) systematic concept naming using standard terminologies and heuristic algorithms. This process generated 3,046 concepts spanning 68 domains. Evaluation against representative CDS and eCQM resources revealed approximately 50–70% concept coverage, indicating the need for continued expansion of the terminology. PMID:26958220

Mission Assurance in a Distributed Environment

DTIC Science & Technology

2009-06-01

Notation ( BPMN ) – Graphical representation of business processes in a workflow • Unified Modeling Language (UML) – Use standard UML diagrams to model the system – Component, sequence, activity diagrams

Modeling stroke rehabilitation processes using the Unified Modeling Language (UML).

PubMed

Ferrante, Simona; Bonacina, Stefano; Pinciroli, Francesco

2013-10-01

In organising and providing rehabilitation procedures for stroke patients, the usual need for many refinements makes it inappropriate to attempt rigid standardisation, but greater detail is required concerning workflow. The aim of this study was to build a model of the post-stroke rehabilitation process. The model, implemented in the Unified Modeling Language, was grounded on international guidelines and refined following the clinical pathway adopted at local level by a specialized rehabilitation centre. The model describes the organisation of the rehabilitation delivery and it facilitates the monitoring of recovery during the process. Indeed, a system software was developed and tested to support clinicians in the digital administration of clinical scales. The model flexibility assures easy updating after process evolution. Copyright © 2013 Elsevier Ltd. All rights reserved.

An investigation of difficulties experienced by students developing unified modelling language (UML) class and sequence diagrams

NASA Astrophysics Data System (ADS)

Sien, Ven Yu

2011-12-01

Object-oriented analysis and design (OOAD) is not an easy subject to learn. There are many challenges confronting students when studying OOAD. Students have particular difficulty abstracting real-world problems within the context of OOAD. They are unable to effectively build object-oriented (OO) models from the problem domain because they essentially do not know "what" to model. This article investigates the difficulties and misconceptions undergraduate students have with analysing systems using unified modelling language analysis class and sequence diagrams. These models were chosen because they represent important static and dynamic aspects of the software system under development. The results of this study will help students produce effective OO models, and facilitate software engineering lecturers design learning materials and approaches for introductory OOAD courses.

The application of the unified modeling language in object-oriented analysis of healthcare information systems.

PubMed

Aggarwal, Vinod

2002-10-01

This paper concerns itself with the beneficial effects of the Unified Modeling Language (UML), a nonproprietary object modeling standard, in specifying, visualizing, constructing, documenting, and communicating the model of a healthcare information system from the user's perspective. The author outlines the process of object-oriented analysis (OOA) using the UML and illustrates this with healthcare examples to demonstrate the practicality of application of the UML by healthcare personnel to real-world information system problems. The UML will accelerate advanced uses of object-orientation such as reuse technology, resulting in significantly higher software productivity. The UML is also applicable in the context of a component paradigm that promises to enhance the capabilities of healthcare information systems and simplify their management and maintenance.

Representing Thoughts, Words, and Things in the UMLS

PubMed Central

Campbell, Keith E.; Oliver, Diane E.; Spackman, Kent A.; Shortliffe, Edward H.

1998-01-01

The authors describe a framework, based on the Ogden-Richards semiotic triangle, for understanding the relationship between the Unified Medical Language System (UMLS) and the source terminologies from which the UMLS derives its content. They pay particular attention to UMLS's Concept Unique Identifier (CUI) and the sense of “meaning” it represents as contrasted with the sense of “meaning” represented by the source terminologies. The CUI takes on emergent meaning through linkage to terms in different terminology systems. In some cases, a CUI's emergent meaning can differ significantly from the original sources' intended meanings of terms linked by that CUI. Identification of these different senses of meaning within the UMLS is consistent with historical themes of semantic interpretation of language. Examination of the UMLS within such a historical framework makes it possible to better understand the strengths and limitations of the UMLS approach for integrating disparate terminologic systems and to provide a model, or theoretic foundation, for evaluating the UMLS as a Possible World—that is, as a mathematical formalism that represents propositions about some perspective or interpretation of the physical world. PMID:9760390

Reflexive Clitics in the Slavic and Romance Languages. A Comparative View from an Antipassive Perspective

ERIC Educational Resources Information Center

Medova, Lucie

2009-01-01

In this work, I offer a unified analysis of all the constructions that involve a reflexive clitic SE in Slavic and Romance languages. Next to canonical constructions, in which the reflexive clitic semantically identifies the two arguments of a transitive verb, cf. "John" SE "wash" means "John washes himself," there are constructions in which it is…

Bound Cognition and Referential Uses of Language

ERIC Educational Resources Information Center

Wulfemeyer, Julie Marie

2011-01-01

This work is an attempt to give a unified theory in response to two questions. The first question arises in the philosophy of mind: what is the mechanism by which we think of objects in the world? The second is a question in the philosophy of language: what is the mechanism by which we speak of them? These are questions that some have treated…

The Phonology of Capanahua and Its Grammatical Basis. Summer Institute of Linguistics Publications in Linguistics and Related Fields.

ERIC Educational Resources Information Center

Loos, Eugene Emil

This generative-transformational model of Capanahua phonology aims (1) to make available to linguistic science data analyzed from the point of view of an explanatory, unified theory of language; and (2) to test some conclusions suggested by those data, with respect to language universals. Chapters treat phrase structure rules, transformational…

Toward a Unifying Theory of Post-Elementary School Reading: The "Languaging in the Content Areas" Thesis.

ERIC Educational Resources Information Center

Manzo, Anthony V.; Sherk, John K., Jr.

This paper discusses the central theoretical aspects of the "Languaging in the Content Areas" (LICA) thesis, intended to provide postelementary reading with a sense of definition and purpose compatible with contemporary needs and conditions. The objective of the LICA thesis is not merely to teach students how to read critically what has been…

Evolution, brain, and the nature of language.

PubMed

Berwick, Robert C; Friederici, Angela D; Chomsky, Noam; Bolhuis, Johan J

2013-02-01

Language serves as a cornerstone for human cognition, yet much about its evolution remains puzzling. Recent research on this question parallels Darwin's attempt to explain both the unity of all species and their diversity. What has emerged from this research is that the unified nature of human language arises from a shared, species-specific computational ability. This ability has identifiable correlates in the brain and has remained fixed since the origin of language approximately 100 thousand years ago. Although songbirds share with humans a vocal imitation learning ability, with a similar underlying neural organization, language is uniquely human. Copyright © 2012 Elsevier Ltd. All rights reserved.

Challenges and insights for situated language processing: Comment on "Towards a computational comparative neuroprimatology: Framing the language-ready brain" by Michael A. Arbib

NASA Astrophysics Data System (ADS)

Knoeferle, Pia

2016-03-01

In his review article [19], Arbib outlines an ambitious research agenda: to accommodate within a unified framework the evolution, the development, and the processing of language in natural settings (implicating other systems such as vision). He does so with neuro-computationally explicit modeling in mind [1,2] and inspired by research on the mirror neuron system in primates. Similar research questions have received substantial attention also among other scientists [3,4,12].

Neural Network Processing of Natural Language: II. Towards a Unified Model of Corticostriatal Function in Learning Sentence Comprehension and Non-Linguistic Sequencing

ERIC Educational Resources Information Center

Dominey, Peter Ford; Inui, Toshio; Hoen, Michel

2009-01-01

A central issue in cognitive neuroscience today concerns how distributed neural networks in the brain that are used in language learning and processing can be involved in non-linguistic cognitive sequence learning. This issue is informed by a wealth of functional neurophysiology studies of sentence comprehension, along with a number of recent…

Graphical tool for navigation within the semantic network of the UMLS metathesaurus on a locally installed database.

PubMed

Frankewitsch, T; Prokosch, H U

2000-01-01

Knowledge in the environment of information technologies is bound to structured vocabularies. Medical data dictionaries are necessary for uniquely describing findings like diagnoses, procedures or functions. Therefore we decided to locally install a version of the Unified Medical Language System (UMLS) of the U.S. National Library of Medicine as a repository for defining entries of a medical multimedia database. Because of the requirement to extend the vocabulary in concepts and relations between existing concepts a graphical tool for appending new items to the database has been developed: Although the database is an instance of a semantic network the focus on single entries offers the opportunity of reducing the net to a tree within this detail. Based on the graph theorem, there are definitions of nodes of concepts and nodes of knowledge. The UMLS additionally offers the specification of sub-relations, which can be represented, too. Using this view it is possible to manage these 1:n-Relations in a simple tree view. On this background an explorer like graphical user interface has been realised to add new concepts and define new relationships between those and existing entries for adapting the UMLS for specific purposes such as describing medical multimedia objects.

The Primary Care Electronic Library: RSS feeds using SNOMED-CT indexing for dynamic content delivery.

PubMed

Robinson, Judas; de Lusignan, Simon; Kostkova, Patty; Madge, Bruce; Marsh, A; Biniaris, C

2006-01-01

Rich Site Summary (RSS) feeds are a method for disseminating and syndicating the contents of a website using extensible mark-up language (XML). The Primary Care Electronic Library (PCEL) distributes recent additions to the site in the form of an RSS feed. When new resources are added to PCEL, they are manually assigned medical subject headings (MeSH terms), which are then automatically mapped to SNOMED-CT terms using the Unified Medical Language System (UMLS) Metathesaurus. The library is thus searchable using MeSH or SNOMED-CT. Our syndicate partner wished to have remote access to PCEL coronary heart disease (CHD) information resources based on SNOMED-CT search terms. To pilot the supply of relevant information resources in response to clinically coded requests, using RSS syndication for transmission between web servers. Our syndicate partner provided a list of CHD SNOMED-CT terms to its end-users, a list which was coded according to UMLS specifications. When the end-user requested relevant information resources, this request was relayed from our syndicate partner's web server to the PCEL web server. The relevant resources were retrieved from the PCEL MySQL database. This database is accessed using a server side scripting language (PHP), which enables the production of dynamic RSS feeds on the basis of Source Asserted Identifiers (CODEs) contained in UMLS. Retrieving resources using SNOMED-CT terms using syndication can be used to build a functioning application. The process from request to display of syndicated resources took less than one second. The results of the pilot illustrate that it is possible to exchange data between servers using RSS syndication. This method could be utilised dynamically to supply digital library resources to a clinical system with SNOMED-CT data used as the standard of reference.

Review and Implementation Status of Prior Defense Business Board Recommendations

DTIC Science & Technology

2007-04-01

Resource Management • Support unified models for shared services , and be prepared to adjust forward approaches for a Unified Medical Command...models for shared services – including by and between Veterans Affairs and Defense, electronic information exchange, disease treatment and prevention...www.dod.mil/dbb/pdf/DBB- Report-on-the-Military.pdf. • Continue to support unified models for shared services – including by and between Veterans Affairs

An object-oriented approach for harmonization of multimedia markup languages

NASA Astrophysics Data System (ADS)

Chen, Yih-Feng; Kuo, May-Chen; Sun, Xiaoming; Kuo, C.-C. Jay

2003-12-01

An object-oriented methodology is proposed to harmonize several different markup languages in this research. First, we adopt the Unified Modelling Language (UML) as the data model to formalize the concept and the process of the harmonization process between the eXtensible Markup Language (XML) applications. Then, we design the Harmonization eXtensible Markup Language (HXML) based on the data model and formalize the transformation between the Document Type Definitions (DTDs) of the original XML applications and HXML. The transformation between instances is also discussed. We use the harmonization of SMIL and X3D as an example to demonstrate the proposed methodology. This methodology can be generalized to various application domains.

Neurobiological roots of language in primate audition: common computational properties.

PubMed

Bornkessel-Schlesewsky, Ina; Schlesewsky, Matthias; Small, Steven L; Rauschecker, Josef P

2015-03-01

Here, we present a new perspective on an old question: how does the neurobiology of human language relate to brain systems in nonhuman primates? We argue that higher-order language combinatorics, including sentence and discourse processing, can be situated in a unified, cross-species dorsal-ventral streams architecture for higher auditory processing, and that the functions of the dorsal and ventral streams in higher-order language processing can be grounded in their respective computational properties in primate audition. This view challenges an assumption, common in the cognitive sciences, that a nonhuman primate model forms an inherently inadequate basis for modeling higher-level language functions. Copyright © 2014 Elsevier Ltd. All rights reserved.

Medical education in a foreign language and history-taking in the native language in Lebanon - a nationwide survey.

PubMed

Abi Raad, Vanda; Raad, Kareem; Daaboul, Yazan; Korjian, Serge; Asmar, Nadia; Jammal, Mouin; Aoun Bahous, Sola

2016-11-22

With the adoption of the English language in medical education, a gap in clinical communication may develop in countries where the native language is different from the language of medical education. This study investigates the association between medical education in a foreign language and students' confidence in their history-taking skills in their native language. This cross-sectional study consisted of a 17-question survey among medical students in clinical clerkships of Lebanese medical schools. The relationship between the language of medical education and confidence in conducting a medical history in Arabic (the native language) was evaluated (n = 457). The majority (88.5%) of students whose native language was Arabic were confident they could conduct a medical history in Arabic. Among participants enrolled in the first clinical year, high confidence in Arabic history-taking was independently associated with Arabic being the native language and with conducting medical history in Arabic either in the pre-clinical years or during extracurricular activities. Among students in their second clinical year, however, these factors were not associated with confidence levels. Despite having their medical education in a foreign language, the majority of students in Lebanese medical schools are confident in conducting a medical history in their native language.

The role of compositionality in standardized problem list generation.

PubMed

Elkin, P L; Tuttle, M; Keck, K; Campbell, K; Atkin, G; Chute, C G

1998-01-01

Compositionality is the ability of a Vocabulary System to record non-atomic strings. In this manuscript we define the types of composition, which can occur. We will then propose methods for both server based and client-based composition. We will differentiate the terms Pre-Coordination, Post-Coordination, and User-Directed Coordination. A simple grammar for the recording of terms with concept level identification will be presented, with examples from the Unified Medical Language System's (UMLS) Metathesaurus. We present an implementation of a Window's NT based client application and a remote Internet Based Vocabulary Server, which makes use of this method of compositionality. Finally we will suggest a research agenda which we believe is necessary to move forward toward a more complete understanding of compositionality. This work has the promise of paving the way toward a robust and complete Problem List Entry Tool.

One approach for evaluating the Distributed Computing Design System (DCDS)

NASA Technical Reports Server (NTRS)

Ellis, J. T.

1985-01-01

The Distributed Computer Design System (DCDS) provides an integrated environment to support the life cycle of developing real-time distributed computing systems. The primary focus of DCDS is to significantly increase system reliability and software development productivity, and to minimize schedule and cost risk. DCDS consists of integrated methodologies, languages, and tools to support the life cycle of developing distributed software and systems. Smooth and well-defined transistions from phase to phase, language to language, and tool to tool provide a unique and unified environment. An approach to evaluating DCDS highlights its benefits.

[Review of current classification and terminology of vulvar disorders].

PubMed

Sláma, J

2012-08-01

To summarize current terminology and classification of vulvar disorders. Review article. Gynecologic oncology center, Department of Gynecology and Obstetrics, General Faculty Hospital and 1st Medical School of Charles University, Prague. Vulvar disorders include wide spectrum of different diagnoses. Multidisciplinary collaboration is frequently needed in diagnostical and therapeutical process. It is essential to use unified terminology using standard dermatological terms, and unified classification for comprehensible communication between different medical professions. Current classification, which is based on Clinical-pathological criteria, was established by International Society for the Study of Vulvovaginal Disease. Recently, there was introduced Clinical classification, which groups disorders according to main morphological finding. Adequate and unified classification and terminology are necessary for effective communication during the diagnostical process.

Research on Spoken Dialogue Systems

NASA Technical Reports Server (NTRS)

Aist, Gregory; Hieronymus, James; Dowding, John; Hockey, Beth Ann; Rayner, Manny; Chatzichrisafis, Nikos; Farrell, Kim; Renders, Jean-Michel

2010-01-01

Research in the field of spoken dialogue systems has been performed with the goal of making such systems more robust and easier to use in demanding situations. The term "spoken dialogue systems" signifies unified software systems containing speech-recognition, speech-synthesis, dialogue management, and ancillary components that enable human users to communicate, using natural spoken language or nearly natural prescribed spoken language, with other software systems that provide information and/or services.

Rosen's (M,R) system in Unified Modelling Language.

PubMed

Zhang, Ling; Williams, Richard A; Gatherer, Derek

2016-01-01

Robert Rosen's (M,R) system is an abstract biological network architecture that is allegedly non-computable on a Turing machine. If (M,R) is truly non-computable, there are serious implications for the modelling of large biological networks in computer software. A body of work has now accumulated addressing Rosen's claim concerning (M,R) by attempting to instantiate it in various software systems. However, a conclusive refutation has remained elusive, principally since none of the attempts to date have unambiguously avoided the critique that they have altered the properties of (M,R) in the coding process, producing merely approximate simulations of (M,R) rather than true computational models. In this paper, we use the Unified Modelling Language (UML), a diagrammatic notation standard, to express (M,R) as a system of objects having attributes, functions and relations. We believe that this instantiates (M,R) in such a way than none of the original properties of the system are corrupted in the process. Crucially, we demonstrate that (M,R) as classically represented in the relational biology literature is implicitly a UML communication diagram. Furthermore, since UML is formally compatible with object-oriented computing languages, instantiation of (M,R) in UML strongly implies its computability in object-oriented coding languages. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Validation of the Italian version of the Movement Disorder Society--Unified Parkinson's Disease Rating Scale.

PubMed

Antonini, Angelo; Abbruzzese, Giovanni; Ferini-Strambi, Luigi; Tilley, Barbara; Huang, Jing; Stebbins, Glenn T; Goetz, Christopher G; Barone, Paolo; Bandettini di Poggio, Monica; Fabbrini, Giovanni; Di Stasio, Flavio; Tinazzi, Michele; Bovi, Tommaso; Ramat, Silvia; Meoni, Sara; Pezzoli, Gianni; Canesi, Margherita; Martinelli, Paolo; Maria Scaglione, Cesa Lorella; Rossi, Aroldo; Tambasco, Nicola; Santangelo, Gabriella; Picillo, Marina; Morgante, Letterio; Morgante, Francesca; Quatrale, Rocco; Sensi, MariaChiara; Pilleri, Manuela; Biundo, Roberta; Nordera, Giampietro; Caria, Antonella; Pacchetti, Claudio; Zangaglia, Roberta; Lopiano, Leonardo; Zibetti, Maurizio; Zappia, Mario; Nicoletti, Alessandra; Quattrone, Aldo; Salsone, Maria; Cossu, Gianni; Murgia, Daniela; Albanese, Alberto; Del Sorbo, Francesca

2013-05-01

The Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS) has been available in English since 2008. As part of this process, the MDS-UPDRS organizing team developed guidelines for development of official non-English translations. We present here the formal process for completing officially approved non-English versions of the MDS-UPDRS and specifically focus on the first of these versions in Italian. The MDS-UPDRS was translated into Italian and tested in 377 native-Italian speaking PD patients. Confirmatory and exploratory factor analyses determined whether the factor structure for the English-language MDS-UPDRS could be confirmed in data collected using the Italian translation. To be designated an 'Official MDS translation,' the Comparative Fit Index (CFI) had to be ≥0.90 relative to the English-language version. For all four parts of the Italian MDS-UPDRS, the CFI, in comparison with the English-language data, was ≥0.94. Exploratory factor analyses revealed some differences between the two datasets, however these differences were considered to be within an acceptable range. The Italian version of the MDS-UPDRS reaches the criterion to be designated as an Official Translation and is now available for use. This protocol will serve as outline for further validation of this in multiple languages.

Social medicalization and alternative and complementary medicine: the pluralization of health services in the Brazilian Unified Health System.

PubMed

Tesser, Charles Dalcanale; Barros, Nelson Filice de

2008-10-01

Social medicalization transforms people's habits, discourages them from finding their own solutions to certain health problems and places an excess demand on the Unified Health System. With regard to healthcare provision, an alternative to social medicalization is the pluralization of treatment provided by health institutions namely through the recognition and provision of alternative and complementary practices and medicines. The objective of the article was to analyze the potentials and difficulties of alternative and complementary practices and medicines based on clinical and institutional experiences and on the specialist literature. The research concludes that the potential of such a strategy to "demedicalize" is limited and should be included in the remit of the Unified Health System. The article highlights that the Biosciences retain a political and epistemiological hegemony over medicine and that the area of healthcare is dominated by market principles, whereby there is a trend towards the transformation of any kind of knowledge or structured practice related to health-illness processes into goods or procedures to be consumed, and this only reinforces heteronomy and medicalization.

The Cooperate Assistive Teamwork Environment for Software Description Languages.

PubMed

Groenda, Henning; Seifermann, Stephan; Müller, Karin; Jaworek, Gerhard

2015-01-01

Versatile description languages such as the Unified Modeling Language (UML) are commonly used in software engineering across different application domains in theory and practice. They often use graphical notations and leverage visual memory for expressing complex relations. Those notations are hard to access for people with visual impairment and impede their smooth inclusion in an engineering team. Existing approaches provide textual notations but require manual synchronization between the notations. This paper presents requirements for an accessible and language-aware team work environment as well as our plan for the assistive implementation of Cooperate. An industrial software engineering team consisting of people with and without visual impairment will evaluate the implementation.

Projective formulation of Maggi's method for nonholonomic systems analysis

NASA Astrophysics Data System (ADS)

Blajer, Wojciech

1992-04-01

A projective interpretation of Maggi'a approach to dynamic analysis of nonholonomic systems is presented. Both linear and nonlinear constraint cases are treatment in unified fashion, using the language of vector spaces and tensor algebra analysis.

Hospitalization costs of severe bacterial pneumonia in children: comparative analysis considering different costing methods

PubMed Central

Nunes, Sheila Elke Araujo; Minamisava, Ruth; Vieira, Maria Aparecida da Silva; Itria, Alexander; Pessoa, Vicente Porfirio; de Andrade, Ana Lúcia Sampaio Sgambatti; Toscano, Cristiana Maria

2017-01-01

ABSTRACT Objective To determine and compare hospitalization costs of bacterial community-acquired pneumonia cases via different costing methods under the Brazilian Public Unified Health System perspective. Methods Cost-of-illness study based on primary data collected from a sample of 59 children aged between 28 days and 35 months and hospitalized due to bacterial pneumonia. Direct medical and non-medical costs were considered and three costing methods employed: micro-costing based on medical record review, micro-costing based on therapeutic guidelines and gross-costing based on the Brazilian Public Unified Health System reimbursement rates. Costs estimates obtained via different methods were compared using the Friedman test. Results Cost estimates of inpatient cases of severe pneumonia amounted to R$ 780,70/$Int. 858.7 (medical record review), R$ 641,90/$Int. 706.90 (therapeutic guidelines) and R$ 594,80/$Int. 654.28 (Brazilian Public Unified Health System reimbursement rates). Costs estimated via micro-costing (medical record review or therapeutic guidelines) did not differ significantly (p=0.405), while estimates based on reimbursement rates were significantly lower compared to estimates based on therapeutic guidelines (p<0.001) or record review (p=0.006). Conclusion Brazilian Public Unified Health System costs estimated via different costing methods differ significantly, with gross-costing yielding lower cost estimates. Given costs estimated by different micro-costing methods are similar and costing methods based on therapeutic guidelines are easier to apply and less expensive, this method may be a valuable alternative for estimation of hospitalization costs of bacterial community-acquired pneumonia in children. PMID:28767921

k-neighborhood Decentralization: A Comprehensive Solution to Index the UMLS for Large Scale Knowledge Discovery

PubMed Central

Xiang, Yang; Lu, Kewei; James, Stephen L.; Borlawsky, Tara B.; Huang, Kun; Payne, Philip R.O.

2011-01-01

The Unified Medical Language System (UMLS) is the largest thesaurus in the biomedical informatics domain. Previous works have shown that knowledge constructs comprised of transitively-associated UMLS concepts are effective for discovering potentially novel biomedical hypotheses. However, the extremely large size of the UMLS becomes a major challenge for these applications. To address this problem, we designed a k-neighborhood Decentralization Labeling Scheme (kDLS) for the UMLS, and the corresponding method to effectively evaluate the kDLS indexing results. kDLS provides a comprehensive solution for indexing the UMLS for very efficient large scale knowledge discovery. We demonstrated that it is highly effective to use kDLS paths to prioritize disease-gene relations across the whole genome, with extremely high fold-enrichment values. To our knowledge, this is the first indexing scheme capable of supporting efficient large scale knowledge discovery on the UMLS as a whole. Our expectation is that kDLS will become a vital engine for retrieving information and generating hypotheses from the UMLS for future medical informatics applications. PMID:22154838

k-Neighborhood decentralization: a comprehensive solution to index the UMLS for large scale knowledge discovery.

PubMed

Xiang, Yang; Lu, Kewei; James, Stephen L; Borlawsky, Tara B; Huang, Kun; Payne, Philip R O

2012-04-01

The Unified Medical Language System (UMLS) is the largest thesaurus in the biomedical informatics domain. Previous works have shown that knowledge constructs comprised of transitively-associated UMLS concepts are effective for discovering potentially novel biomedical hypotheses. However, the extremely large size of the UMLS becomes a major challenge for these applications. To address this problem, we designed a k-neighborhood Decentralization Labeling Scheme (kDLS) for the UMLS, and the corresponding method to effectively evaluate the kDLS indexing results. kDLS provides a comprehensive solution for indexing the UMLS for very efficient large scale knowledge discovery. We demonstrated that it is highly effective to use kDLS paths to prioritize disease-gene relations across the whole genome, with extremely high fold-enrichment values. To our knowledge, this is the first indexing scheme capable of supporting efficient large scale knowledge discovery on the UMLS as a whole. Our expectation is that kDLS will become a vital engine for retrieving information and generating hypotheses from the UMLS for future medical informatics applications. Copyright © 2011 Elsevier Inc. All rights reserved.

Complications and posttreatment care following invasive laser skin resurfacing: A review.

PubMed

Li, Dan; Lin, Shi-Bin; Cheng, Biao

2018-06-01

Laser skin resurfacing (LSR) has been used for facial rejuvenation for the last 20 years. Posttreatment care after LSR is essential to decrease the risk of complications. Currently, no unified standards or criteria exist for invasive LSR posttreatment care. We aimed to identify the optimal wound care timing and choice of specific local, systemic, and general medical measures required to decrease complications. We performed a systematic search of the PubMed/MEDLINE electronic databases and included only articles written and published in the English language, with no restrictions on the publication time (year). The search yielded 316 potentially relevant articles, 133 of which met our review criteria. Most of the studies on this topic have focused on wound care during the early stage, typically the first 2 weeks. Closed dressings may offer a more ideal, moist wound environment. The use of medications must be judicious. The ongoing emergence of new methods and products warrants evaluation in future large clinical trials. Familiarity with the complications following invasive LSR and the provision of optimal, effective, and timely posttreatment care may substantially decrease the risks associated with the treatment modality.

Evaluation of emergency medical text processor, a system for cleaning chief complaint text data.

PubMed

Travers, Debbie A; Haas, Stephanie W

2004-11-01

Emergency Medical Text Processor (EMT-P) version 1, a natural language processing system that cleans emergency department text (e.g., chst pn, chest pai), was developed to maximize extraction of standard terms (e.g., chest pain). The authors compared the number of standard terms extracted from raw chief complaint (CC) data with that for CC data cleaned with EMT-P and evaluated the accuracy of EMT-P. This cross-sectional observation study included CC text entries for all emergency department visits to three tertiary care centers in 2001. Terms were extracted from CC entries before and after cleaning with EMT-P. Descriptive statistics included number and percentage of all entries (tokens) and all unique entries (types) that matched a standard term from the Unified Medical Language System (UMLS). An expert panel rated the accuracy of the CC-UMLS term matches; inter-rater reliability was measured with kappa. The authors collected 203,509 CC entry tokens, of which 63,946 were unique entry types. For the raw data, 89,337 tokens (44%) and 5,081 types (8%) matched a standard term. After EMT-P cleaning, 168,050 tokens (83%) and 44,430 types (69%) matched a standard term. The expert panel reached consensus on 201 of the 222 CC-UMLS term matches reviewed (kappa=0.69-0.72). Ninety-six percent of the 201 matches were rated equivalent or related. Thirty-eight percent of the nonmatches were found to match UMLS concepts. EMT-P version 1 is relatively accurate, and cleaning with EMT-P improved the CC-UMLS term match rate over raw data. The authors identified areas for improvement in future EMT-P versions and issues to be resolved in developing a standard CC terminology.

An early illness recognition framework using a temporal Smith Waterman algorithm and NLP.

PubMed

Hajihashemi, Zahra; Popescu, Mihail

2013-01-01

In this paper we propose a framework for detecting health patterns based on non-wearable sensor sequence similarity and natural language processing (NLP). In TigerPlace, an aging in place facility from Columbia, MO, we deployed 47 sensor networks together with a nursing electronic health record (EHR) system to provide early illness recognition. The proposed framework utilizes sensor sequence similarity and NLP on EHR nursing comments to automatically notify the physician when health problems are detected. The reported methodology is inspired by genomic sequence annotation using similarity algorithms such as Smith Waterman (SW). Similarly, for each sensor sequence, we associate health concepts extracted from the nursing notes using Metamap, a NLP tool provided by Unified Medical Language System (UMLS). Since sensor sequences, unlike genomics ones, have an associated time dimension we propose a temporal variant of SW (TSW) to account for time. The main challenges presented by our framework are finding the most suitable time sequence similarity and aggregation of the retrieved UMLS concepts. On a pilot dataset from three Tiger Place residents, with a total of 1685 sensor days and 626 nursing records, we obtained an average precision of 0.64 and a recall of 0.37.

Introduction to Theoretical Modelling

NASA Astrophysics Data System (ADS)

Davis, Matthew J.; Gardiner, Simon A.; Hanna, Thomas M.; Nygaard, Nicolai; Proukakis, Nick P.; Szymańska, Marzena H.

2013-02-01

We briefly overview commonly encountered theoretical notions arising in the modelling of quantum gases, intended to provide a unified background to the `language' and diverse theoretical models presented elsewhere in this book, and aimed particularly at researchers from outside the quantum gases community.

Driving Under the Influence (of Language).

PubMed

Barrett, Daniel Paul; Bronikowski, Scott Alan; Yu, Haonan; Siskind, Jeffrey Mark

2017-06-09

We present a unified framework which supports grounding natural-language semantics in robotic driving. This framework supports acquisition (learning grounded meanings of nouns and prepositions from human sentential annotation of robotic driving paths), generation (using such acquired meanings to generate sentential description of new robotic driving paths), and comprehension (using such acquired meanings to support automated driving to accomplish navigational goals specified in natural language). We evaluate the performance of these three tasks by having independent human judges rate the semantic fidelity of the sentences associated with paths. Overall, machine performance is 74.9%, while the performance of human annotators is 83.8%.

Algorithm Building and Learning Programming Languages Using a New Educational Paradigm

NASA Astrophysics Data System (ADS)

Jain, Anshul K.; Singhal, Manik; Gupta, Manu Sheel

2011-08-01

This research paper presents a new concept of using a single tool to associate syntax of various programming languages, algorithms and basic coding techniques. A simple framework has been programmed in Python that helps students learn skills to develop algorithms, and implement them in various programming languages. The tool provides an innovative and a unified graphical user interface for development of multimedia objects, educational games and applications. It also aids collaborative learning amongst students and teachers through an integrated mechanism based on Remote Procedure Calls. The paper also elucidates an innovative method for code generation to enable students to learn the basics of programming languages using drag-n-drop methods for image objects.

The P-chain: relating sentence production and its disorders to comprehension and acquisition

PubMed Central

Dell, Gary S.; Chang, Franklin

2014-01-01

This article introduces the P-chain, an emerging framework for theory in psycholinguistics that unifies research on comprehension, production and acquisition. The framework proposes that language processing involves incremental prediction, which is carried out by the production system. Prediction necessarily leads to prediction error, which drives learning, including both adaptive adjustment to the mature language processing system as well as language acquisition. To illustrate the P-chain, we review the Dual-path model of sentence production, a connectionist model that explains structural priming in production and a number of facts about language acquisition. The potential of this and related models for explaining acquired and developmental disorders of sentence production is discussed. PMID:24324238

The P-chain: relating sentence production and its disorders to comprehension and acquisition.

PubMed

Dell, Gary S; Chang, Franklin

2014-01-01

This article introduces the P-chain, an emerging framework for theory in psycholinguistics that unifies research on comprehension, production and acquisition. The framework proposes that language processing involves incremental prediction, which is carried out by the production system. Prediction necessarily leads to prediction error, which drives learning, including both adaptive adjustment to the mature language processing system as well as language acquisition. To illustrate the P-chain, we review the Dual-path model of sentence production, a connectionist model that explains structural priming in production and a number of facts about language acquisition. The potential of this and related models for explaining acquired and developmental disorders of sentence production is discussed.

Mobility Research for Future Vehicles: A Methodology to Create a Unified Trade-Off Environment for Advanced Aerospace Vehicle

DTIC Science & Technology

2018-01-31

Language for SeBBAS ............................................................... 23 2.4.3 Running SeBBAS Algorithm in MATLAB...Input File Error Checking ................................................................................................... 76 4.4.3 Running ...99 6.2 5- Blade Rotor System Investigation

Creating Shareable Clinical Decision Support Rules for a Pharmacogenomics Clinical Guideline Using Structured Knowledge Representation.

PubMed

Linan, Margaret K; Sottara, Davide; Freimuth, Robert R

2015-01-01

Pharmacogenomics (PGx) guidelines contain drug-gene relationships, therapeutic and clinical recommendations from which clinical decision support (CDS) rules can be extracted, rendered and then delivered through clinical decision support systems (CDSS) to provide clinicians with just-in-time information at the point of care. Several tools exist that can be used to generate CDS rules that are based on computer interpretable guidelines (CIG), but none have been previously applied to the PGx domain. We utilized the Unified Modeling Language (UML), the Health Level 7 virtual medical record (HL7 vMR) model, and standard terminologies to represent the semantics and decision logic derived from a PGx guideline, which were then mapped to the Health eDecisions (HeD) schema. The modeling and extraction processes developed here demonstrate how structured knowledge representations can be used to support the creation of shareable CDS rules from PGx guidelines.

A General Architecture for Intelligent Tutoring of Diagnostic Classification Problem Solving

PubMed Central

Crowley, Rebecca S.; Medvedeva, Olga

2003-01-01

We report on a general architecture for creating knowledge-based medical training systems to teach diagnostic classification problem solving. The approach is informed by our previous work describing the development of expertise in classification problem solving in Pathology. The architecture envelops the traditional Intelligent Tutoring System design within the Unified Problem-solving Method description Language (UPML) architecture, supporting component modularity and reuse. Based on the domain ontology, domain task ontology and case data, the abstract problem-solving methods of the expert model create a dynamic solution graph. Student interaction with the solution graph is filtered through an instructional layer, which is created by a second set of abstract problem-solving methods and pedagogic ontologies, in response to the current state of the student model. We outline the advantages and limitations of this general approach, and describe it’s implementation in SlideTutor–a developing Intelligent Tutoring System in Dermatopathology. PMID:14728159

The UMLS Knowledge Source Server: an experience in Web 2.0 technologies.

PubMed

Thorn, Karen E; Bangalore, Anantha K; Browne, Allen C

2007-10-11

The UMLS Knowledge Source Server (UMLSKS), developed at the National Library of Medicine (NLM), makes the knowledge sources of the Unified Medical Language System (UMLS) available to the research community over the Internet. In 2003, the UMLSKS was redesigned utilizing state-of-the-art technologies available at that time. That design offered a significant improvement over the prior version but presented a set of technology-dependent issues that limited its functionality and usability. Four areas of desired improvement were identified: software interfaces, web interface content, system maintenance/deployment, and user authentication. By employing next generation web technologies, newer authentication paradigms and further refinements in modular design methods, these areas could be addressed and corrected to meet the ever increasing needs of UMLSKS developers. In this paper we detail the issues present with the existing system and describe the new system's design using new technologies considered entrants in the Web 2.0 development era.

Representation of Nursing Terminologies in UMLS

PubMed Central

Kim, Tae Youn; Coenen, Amy; Hardiker, Nicholas; Bartz, Claudia C.

2011-01-01

There are seven nursing terminologies or classifications that are considered a standard to support nursing practice in the U.S. Harmonizing these terminologies will enhance the interoperability of clinical data documented across nursing practice. As a first step to harmonize the nursing terminologies, the purpose of this study was to examine how nursing problems or diagnostic concepts from select terminologies were cross-mapped in Unified Medical Language System (UMLS). A comparison analysis was conducted by examining whether cross-mappings available in UMLS through concept unique identifiers were consistent with cross-mappings conducted by human experts. Of 423 concepts from three terminologies, 411 (97%) were manually cross-mapped by experts to the International Classification for Nursing Practice. The UMLS semantic mapping among the 411 nursing concepts presented 33.6% accuracy (i.e., 138 of 411 concepts) when compared to expert cross-mappings. Further research and collaboration among experts in this field are needed for future enhancement of UMLS. PMID:22195127

Web-accessible cervigram automatic segmentation tool

NASA Astrophysics Data System (ADS)

Xue, Zhiyun; Antani, Sameer; Long, L. Rodney; Thoma, George R.

2010-03-01

Uterine cervix image analysis is of great importance to the study of uterine cervix cancer, which is among the leading cancers affecting women worldwide. In this paper, we describe our proof-of-concept, Web-accessible system for automated segmentation of significant tissue regions in uterine cervix images, which also demonstrates our research efforts toward promoting collaboration between engineers and physicians for medical image analysis projects. Our design and implementation unifies the merits of two commonly used languages, MATLAB and Java. It circumvents the heavy workload of recoding the sophisticated segmentation algorithms originally developed in MATLAB into Java while allowing remote users who are not experienced programmers and algorithms developers to apply those processing methods to their own cervicographic images and evaluate the algorithms. Several other practical issues of the systems are also discussed, such as the compression of images and the format of the segmentation results.

Conducting requirements analyses for research using routinely collected health data: a model driven approach.

PubMed

de Lusignan, Simon; Cashman, Josephine; Poh, Norman; Michalakidis, Georgios; Mason, Aaron; Desombre, Terry; Krause, Paul

2012-01-01

Medical research increasingly requires the linkage of data from different sources. Conducting a requirements analysis for a new application is an established part of software engineering, but rarely reported in the biomedical literature; and no generic approaches have been published as to how to link heterogeneous health data. Literature review, followed by a consensus process to define how requirements for research, using, multiple data sources might be modeled. We have developed a requirements analysis: i-ScheDULEs - The first components of the modeling process are indexing and create a rich picture of the research study. Secondly, we developed a series of reference models of progressive complexity: Data flow diagrams (DFD) to define data requirements; unified modeling language (UML) use case diagrams to capture study specific and governance requirements; and finally, business process models, using business process modeling notation (BPMN). These requirements and their associated models should become part of research study protocols.

Enterprise Pattern: integrating the business process into a unified enterprise model of modern service company

NASA Astrophysics Data System (ADS)

Li, Ying; Luo, Zhiling; Yin, Jianwei; Xu, Lida; Yin, Yuyu; Wu, Zhaohui

2017-01-01

Modern service company (MSC), the enterprise involving special domains, such as the financial industry, information service industry and technology development industry, depends heavily on information technology. Modelling of such enterprise has attracted much research attention because it promises to help enterprise managers to analyse basic business strategies (e.g. the pricing strategy) and even optimise the business process (BP) to gain benefits. While the existing models proposed by economists cover the economic elements, they fail to address the basic BP and its relationship with the economic characteristics. Those proposed in computer science regardless of achieving great success in BP modelling perform poorly in supporting the economic analysis. Therefore, the existing approaches fail to satisfy the requirement of enterprise modelling for MSC, which demands simultaneous consideration of both economic analysing and business processing. In this article, we provide a unified enterprise modelling approach named Enterprise Pattern (EP) which bridges the gap between the BP model and the enterprise economic model of MSC. Proposing a language named Enterprise Pattern Description Language (EPDL) covering all the basic language elements of EP, we formulate the language syntaxes and two basic extraction rules assisting economic analysis. Furthermore, we extend Business Process Model and Notation (BPMN) to support EPDL, named BPMN for Enterprise Pattern (BPMN4EP). The example of mobile application platform is studied in detail for a better understanding of EPDL.

Evaluation of a deidentification (De-Id) software engine to share pathology reports and clinical documents for research.

PubMed

Gupta, Dilip; Saul, Melissa; Gilbertson, John

2004-02-01

We evaluated a comprehensive deidentification engine at the University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, that uses a complex set of rules, dictionaries, pattern-matching algorithms, and the Unified Medical Language System to identify and replace identifying text in clinical reports while preserving medical information for sharing in research. In our initial data set of 967 surgical pathology reports, the software did not suppress outside (103), UPMC (47), and non-UPMC (56) accession numbers; dates (7); names (9) or initials (25) of case pathologists; or hospital or laboratory names (46). In 150 reports, some clinical information was suppressed inadvertently (overmarking). The engine retained eponymic patient names, eg, Barrett and Gleason. In the second evaluation (1,000 reports), the software did not suppress outside (90) or UPMC (6) accession numbers or names (4) or initials (2) of case pathologists. In the third evaluation, the software removed names of patients, hospitals (297/300), pathologists (297/300), transcriptionists, residents and physicians, dates of procedures, and accession numbers (298/300). By the end of the evaluation, the system was reliably and specifically removing safe-harbor identifiers and producing highly readable deidentified text without removing important clinical information. Collaboration between pathology domain experts and system developers and continuous quality assurance are needed to optimize ongoing deidentification processes.

Ontology-guided organ detection to retrieve web images of disease manifestation: towards the construction of a consumer-based health image library.

PubMed

Chen, Yang; Ren, Xiaofeng; Zhang, Guo-Qiang; Xu, Rong

2013-01-01

Visual information is a crucial aspect of medical knowledge. Building a comprehensive medical image base, in the spirit of the Unified Medical Language System (UMLS), would greatly benefit patient education and self-care. However, collection and annotation of such a large-scale image base is challenging. To combine visual object detection techniques with medical ontology to automatically mine web photos and retrieve a large number of disease manifestation images with minimal manual labeling effort. As a proof of concept, we first learnt five organ detectors on three detection scales for eyes, ears, lips, hands, and feet. Given a disease, we used information from the UMLS to select affected body parts, ran the pretrained organ detectors on web images, and combined the detection outputs to retrieve disease images. Compared with a supervised image retrieval approach that requires training images for every disease, our ontology-guided approach exploits shared visual information of body parts across diseases. In retrieving 2220 web images of 32 diseases, we reduced manual labeling effort to 15.6% while improving the average precision by 3.9% from 77.7% to 81.6%. For 40.6% of the diseases, we improved the precision by 10%. The results confirm the concept that the web is a feasible source for automatic disease image retrieval for health image database construction. Our approach requires a small amount of manual effort to collect complex disease images, and to annotate them by standard medical ontology terms.

The utilization of unified protocols in behavioral cognitive therapy in transdiagnostic group subjects: A clinical trial.

PubMed

de Ornelas Maia, Ana Claudia Corrêa; Nardi, Antonio Egidio; Cardoso, Adriana

2015-02-01

The practicing of protocols based on behavioral cognitive therapy (CBT) have been frequently used in the last decades and adapted to better manage the necessities of patients and providers. The goal is to build a treatment that is evidence-based - for that reason the unified protocol for multiple emotional disorders (transdiagnostics) have been utilized to simplify treatment - without losing scientific traits. The main goal of this study is to evaluate the unified protocol in groups of patients with depression and anxiety disorders. In a pool of 48 subjects, divided in two groups, one was submitted to 12 intervention sessions of the unified protocol while the other was solely given medication. MINI, BAI and BDI were the instruments used at the beginning and at the end of treatment. The results were highly significant (p<0.001) in as much as with the improvement of anxiety and depressive disorders as it was in the group which was treated with the unified protocol compared with the group which was only given medication Limitations of this study were the number of sample participants and the non-randomization of subjects in both groups. Group therapy has not been largely implemented though it is deemed very useful for treatments when the unified protocol is used in transdiagnostic patients. Not only does it allow for emotional stabilizing and socialization but it also enables subjects with an altruistic feeling amongst themselves. Copyright © 2014 Elsevier B.V. All rights reserved.

Unified Modeling Language (UML) for hospital-based cancer registration processes.

PubMed

Shiki, Naomi; Ohno, Yuko; Fujii, Ayumi; Murata, Taizo; Matsumura, Yasushi

2008-01-01

Hospital-based cancer registry involves complex processing steps that span across multiple departments. In addition, management techniques and registration procedures differ depending on each medical facility. Establishing processes for hospital-based cancer registry requires clarifying specific functions and labor needed. In recent years, the business modeling technique, in which management evaluation is done by clearly spelling out processes and functions, has been applied to business process analysis. However, there are few analytical reports describing the applications of these concepts to medical-related work. In this study, we initially sought to model hospital-based cancer registration processes using the Unified Modeling Language (UML), to clarify functions. The object of this study was the cancer registry of Osaka University Hospital. We organized the hospital-based cancer registration processes based on interview and observational surveys, and produced an As-Is model using activity, use-case, and class diagrams. After drafting every UML model, it was fed-back to practitioners to check its validity and improved. We were able to define the workflow for each department using activity diagrams. In addition, by using use-case diagrams we were able to classify each department within the hospital as a system, and thereby specify the core processes and staff that were responsible for each department. The class diagrams were effective in systematically organizing the information to be used for hospital-based cancer registries. Using UML modeling, hospital-based cancer registration processes were broadly classified into three separate processes, namely, registration tasks, quality control, and filing data. An additional 14 functions were also extracted. Many tasks take place within the hospital-based cancer registry office, but the process of providing information spans across multiple departments. Moreover, additional tasks were required in comparison to using a standardized system because the hospital-based cancer registration system was constructed with the pre-existing computer system in Osaka University Hospital. Difficulty of utilization of useful information for cancer registration processes was shown to increase the task workload. By using UML, we were able to clarify functions and extract the typical processes for a hospital-based cancer registry. Modeling can provide a basis of process analysis for establishment of efficient hospital-based cancer registration processes in each institute.

Finding Important Terms for Patients in Their Electronic Health Records: A Learning-to-Rank Approach Using Expert Annotations.

PubMed

Chen, Jinying; Zheng, Jiaping; Yu, Hong

2016-11-30

Many health organizations allow patients to access their own electronic health record (EHR) notes through online patient portals as a way to enhance patient-centered care. However, EHR notes are typically long and contain abundant medical jargon that can be difficult for patients to understand. In addition, many medical terms in patients' notes are not directly related to their health care needs. One way to help patients better comprehend their own notes is to reduce information overload and help them focus on medical terms that matter most to them. Interventions can then be developed by giving them targeted education to improve their EHR comprehension and the quality of care. We aimed to develop a supervised natural language processing (NLP) system called Finding impOrtant medical Concepts most Useful to patientS (FOCUS) that automatically identifies and ranks medical terms in EHR notes based on their importance to the patients. First, we built an expert-annotated corpus. For each EHR note, 2 physicians independently identified medical terms important to the patient. Using the physicians' agreement as the gold standard, we developed and evaluated FOCUS. FOCUS first identifies candidate terms from each EHR note using MetaMap and then ranks the terms using a support vector machine-based learn-to-rank algorithm. We explored rich learning features, including distributed word representation, Unified Medical Language System semantic type, topic features, and features derived from consumer health vocabulary. We compared FOCUS with 2 strong baseline NLP systems. Physicians annotated 90 EHR notes and identified a mean of 9 (SD 5) important terms per note. The Cohen's kappa annotation agreement was .51. The 10-fold cross-validation results show that FOCUS achieved an area under the receiver operating characteristic curve (AUC-ROC) of 0.940 for ranking candidate terms from EHR notes to identify important terms. When including term identification, the performance of FOCUS for identifying important terms from EHR notes was 0.866 AUC-ROC. Both performance scores significantly exceeded the corresponding baseline system scores (P<.001). Rich learning features contributed to FOCUS's performance substantially. FOCUS can automatically rank terms from EHR notes based on their importance to patients. It may help develop future interventions that improve quality of care. ©Jinying Chen, Jiaping Zheng, Hong Yu. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 30.11.2016.

Social science and Sozialwissenschaft: Categorical and institutional boundaries of knowledge.

PubMed

Sonnert, Gerhard

2018-05-16

This article explores how linguistic categories affect boundary work in scholarly knowledge production. Whereas the German language knows the unified concept of Wissenschaft for all branches of scholarship represented at universities, the English language separates science from the arts or humanities and does not commonly engage an overarching concept. This has had consequences for American social science, which are traced both in the discourse shaping its development and in the deployment and distribution of institutional resources. © 2018 Wiley Periodicals, Inc.

Use of Unified Modeling Language (UML) in Model-Based Development (MBD) For Safety-Critical Applications

DTIC Science & Technology

2014-12-01

appears that UML is becoming the de facto MBD language. OMG® states the following on the MDA® FAQ page: “Although not formally required [for MBD], UML...a known limitation [42], so UML users should plan accordingly, especially for safety-critical programs. For example, “models are not used to...description of the MBD tool chain can be produced. That description could be resident in a Plan for Software Aspects of Certification (PSAC) or Software

TENTH-GRADE ENGLISH, AN INSTRUCTIONAL GUIDE.

ERIC Educational Resources Information Center

PAXTON, EVELYN; AND OTHERS

COMPOSITION, LITERATURE, AND LANGUAGE EXPERIENCES, ADAPTABLE FOR STUDENTS OF ALL ABILITY LEVELS, ARE SUGGESTED. TEACHERS SHOULD DETERMINE THE LEVELS OF THEIR OWN STUDENTS, REINFORCE THEIR PAST ACHIEVEMENTS, AND IMPROVE AND CONTINUE THESE ACHIEVEMENTS. UNIFYING CONCEPTS FOR EACH UNIT, WITH THE TYPE OF LITERATURE RECOMMENDED TO REINFORCE AND…

Ontological Approach to Military Knowledge Modeling and Management

DTIC Science & Technology

2004-03-01

federated search mechanism has to reformulate user queries (expressed using the ontology) in the query languages of the different sources (e.g. SQL...ontologies as a common terminology – Unified query to perform federated search • Query processing – Ontology mapping to sources reformulate queries

1979 National Unified Entrance Examination for Institutions of Higher Education.

ERIC Educational Resources Information Center

Chinese Education, 1979

1979-01-01

The article presents translations of Chinese college entrance examinations in the fields of politics, Chinese language and literature, mathematics, humanities, physics, chemistry, history, geography, and English. Translations are also presented of the 1979 review syllabus for 1979 for the same subject areas. (DB)

Techniques for Unifying Disparate Elements in an EOS Instrument's Product Generation System Development Environment

NASA Technical Reports Server (NTRS)

Murray, Alex; Eng, Bjorn; Leff, Craig; Schwarz, Arnold

1997-01-01

In the development environment for ASTER level II product generation system, techniques have been incorporated to allow automated information sharing among all system elements, and to enable the use of sound software engineering techniques in the scripting languages.

A remote sensing computer-assisted learning tool developed using the unified modeling language

NASA Astrophysics Data System (ADS)

Friedrich, J.; Karslioglu, M. O.

The goal of this work has been to create an easy-to-use and simple-to-make learning tool for remote sensing at an introductory level. Many students struggle to comprehend what seems to be a very basic knowledge of digital images, image processing and image arithmetic, for example. Because professional programs are generally too complex and overwhelming for beginners and often not tailored to the specific needs of a course regarding functionality, a computer-assisted learning (CAL) program was developed based on the unified modeling language (UML), the present standard for object-oriented (OO) system development. A major advantage of this approach is an easier transition from modeling to coding of such an application, if modern UML tools are being used. After introducing the constructed UML model, its implementation is briefly described followed by a series of learning exercises. They illustrate how the resulting CAL tool supports students taking an introductory course in remote sensing at the author's institution.

Learning Additional Languages as Hierarchical Probabilistic Inference: Insights From First Language Processing.

PubMed

Pajak, Bozena; Fine, Alex B; Kleinschmidt, Dave F; Jaeger, T Florian

2016-12-01

We present a framework of second and additional language (L2/L n ) acquisition motivated by recent work on socio-indexical knowledge in first language (L1) processing. The distribution of linguistic categories covaries with socio-indexical variables (e.g., talker identity, gender, dialects). We summarize evidence that implicit probabilistic knowledge of this covariance is critical to L1 processing, and propose that L2/L n learning uses the same type of socio-indexical information to probabilistically infer latent hierarchical structure over previously learned and new languages. This structure guides the acquisition of new languages based on their inferred place within that hierarchy, and is itself continuously revised based on new input from any language. This proposal unifies L1 processing and L2/L n acquisition as probabilistic inference under uncertainty over socio-indexical structure. It also offers a new perspective on crosslinguistic influences during L2/L n learning, accommodating gradient and continued transfer (both negative and positive) from previously learned to novel languages, and vice versa.

Learning Additional Languages as Hierarchical Probabilistic Inference: Insights From First Language Processing

PubMed Central

Pajak, Bozena; Fine, Alex B.; Kleinschmidt, Dave F.; Jaeger, T. Florian

2015-01-01

We present a framework of second and additional language (L2/Ln) acquisition motivated by recent work on socio-indexical knowledge in first language (L1) processing. The distribution of linguistic categories covaries with socio-indexical variables (e.g., talker identity, gender, dialects). We summarize evidence that implicit probabilistic knowledge of this covariance is critical to L1 processing, and propose that L2/Ln learning uses the same type of socio-indexical information to probabilistically infer latent hierarchical structure over previously learned and new languages. This structure guides the acquisition of new languages based on their inferred place within that hierarchy, and is itself continuously revised based on new input from any language. This proposal unifies L1 processing and L2/Ln acquisition as probabilistic inference under uncertainty over socio-indexical structure. It also offers a new perspective on crosslinguistic influences during L2/Ln learning, accommodating gradient and continued transfer (both negative and positive) from previously learned to novel languages, and vice versa. PMID:28348442

Novel mechanism of premature battery failure due to lithium cluster formation in implantable cardioverter-defibrillators.

PubMed

Pokorney, Sean D; Greenfield, Ruth Ann; Atwater, Brett D; Daubert, James P; Piccini, Jonathan P

2014-12-01

Battery failure is an uncommon complication of implantable cardioverter-defibrillators (ICDs), but unanticipated battery depletion can have life-threatening consequences. The purpose of this study was to describe the prevalence of a novel mechanism of battery failure in St. Jude Medical Fortify and Unify ICDs. Cases of premature Fortify battery failure from a single center are reported. A search (January 1, 2010 through November 30, 2013) for Fortify and Unify premature batter failure was conducted of the Food and Drug Administration's Manufacturer and User Facility Device Experience Database (MAUDE). These findings were supplemented with information provided by St. Jude Medical. Premature battery failure for 2 Fortify ICDs in our practice were attributed to the presence of lithium clusters near the cathode, causing a short circuit and high current drain. The prevalence of this mechanism of premature battery failure was 0.6% in our practice. A MAUDE search identified 39 cases of Fortify (30) and Unify (9) premature battery depletion confirmed by the manufacturer, representing a 0.03% prevalence. Four additional Fortify and 2 Unify cases were identified in MAUDE as suspected premature battery depletion, but in these cases the pulse generator was not returned to the manufacturer for evaluation. St. Jude Medical identified 10 cases of premature battery failure due to lithium clusters in Fortify devices (9) and Unify devices (1), representing a 0.004% prevalence. The deposition of lithium clusters near the cathode is a novel mechanism of premature battery failure. The prevalence of this problem is unknown. Providers should be aware of this mechanism for patient management. Copyright © 2014 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.

Shall Organized Medicine be Unified, or Separate?

PubMed Central

1971-01-01

At present, physicians in California who choose to join organized medicine do so through their county medical societies, and membership in the California Medical Association and the American Medical Association is then automatic. At the March meeting of the CMA House of Delegates, question was raised whether membership in CMA, and the AMA, or both should remain automatic. The House requested an ad hoc committee to cause a “poll and its attendant statements to be developed by May 21 for copy distribution to component medical societies and printing in the CMA membership news media—with mailing of the official questionnaires to the society members on September 1, 1971.” Members will be asked to express their opinions by ballot in September. The Speaker of the House appointed an ad hoc committee of the House to conduct this informed opinion poll of the membership. The committee has met to set ground rules, prepare accurate pro and con statements and write the poll questions—in accord with the directions of the House action. The Informed Membership Opinion Poll Committee, with the advice of Decision Making Information, Inc., an independent consultant, prepared statements regarding unified and separate membership in CMA and AMA from comments which were solicited from every county medical society. A statement by legal counsel for the California Medical Association on the structural relationship of AMA, CMA and component societies, and the statements on unified or separate membership prepared by the committee appear on the following two pages. PMID:18730549

78 FR 75515 - Veterinary Feed Directive

Federal Register 2010, 2011, 2012, 2013, 2014

2013-12-12

...) and its Principles of Veterinary Medical Ethics,\\1\\ which acts as a unifying standard for all veterinarians. AVMA's Principles of Veterinary Medical Ethics include an explicit VCPR provision. \\1\\ https://www.avma.org/KB/Policies/Pages/Principles-of-Veterinary-Medical-Ethics-of-the-AVMA.aspx . As noted...

Problems for the Average Adult in Understanding Medical Language.

ERIC Educational Resources Information Center

Crismore, Avon

Like legal language, medical language is a private language, a separate stratum containing some words specially defined for medical purposes, some existing only in the medical vocabulary, and some adding precision or solemnity. These characteristics often cause a breakdown in patient-doctor communication. Analysis of data obtained from prototype…

A unified statistical approach to non-negative matrix factorization and probabilistic latent semantic indexing

PubMed Central

Wang, Guoli; Ebrahimi, Nader

2014-01-01

Non-negative matrix factorization (NMF) is a powerful machine learning method for decomposing a high-dimensional nonnegative matrix V into the product of two nonnegative matrices, W and H, such that V ∼ W H. It has been shown to have a parts-based, sparse representation of the data. NMF has been successfully applied in a variety of areas such as natural language processing, neuroscience, information retrieval, image processing, speech recognition and computational biology for the analysis and interpretation of large-scale data. There has also been simultaneous development of a related statistical latent class modeling approach, namely, probabilistic latent semantic indexing (PLSI), for analyzing and interpreting co-occurrence count data arising in natural language processing. In this paper, we present a generalized statistical approach to NMF and PLSI based on Renyi's divergence between two non-negative matrices, stemming from the Poisson likelihood. Our approach unifies various competing models and provides a unique theoretical framework for these methods. We propose a unified algorithm for NMF and provide a rigorous proof of monotonicity of multiplicative updates for W and H. In addition, we generalize the relationship between NMF and PLSI within this framework. We demonstrate the applicability and utility of our approach as well as its superior performance relative to existing methods using real-life and simulated document clustering data. PMID:25821345

A unified statistical approach to non-negative matrix factorization and probabilistic latent semantic indexing.

PubMed

Devarajan, Karthik; Wang, Guoli; Ebrahimi, Nader

2015-04-01

Non-negative matrix factorization (NMF) is a powerful machine learning method for decomposing a high-dimensional nonnegative matrix V into the product of two nonnegative matrices, W and H , such that V ∼ W H . It has been shown to have a parts-based, sparse representation of the data. NMF has been successfully applied in a variety of areas such as natural language processing, neuroscience, information retrieval, image processing, speech recognition and computational biology for the analysis and interpretation of large-scale data. There has also been simultaneous development of a related statistical latent class modeling approach, namely, probabilistic latent semantic indexing (PLSI), for analyzing and interpreting co-occurrence count data arising in natural language processing. In this paper, we present a generalized statistical approach to NMF and PLSI based on Renyi's divergence between two non-negative matrices, stemming from the Poisson likelihood. Our approach unifies various competing models and provides a unique theoretical framework for these methods. We propose a unified algorithm for NMF and provide a rigorous proof of monotonicity of multiplicative updates for W and H . In addition, we generalize the relationship between NMF and PLSI within this framework. We demonstrate the applicability and utility of our approach as well as its superior performance relative to existing methods using real-life and simulated document clustering data.

Neural Cognition and Affective Computing on Cyber Language.

PubMed

Huang, Shuang; Zhou, Xuan; Xue, Ke; Wan, Xiqiong; Yang, Zhenyi; Xu, Duo; Ivanović, Mirjana; Yu, Xueer

2015-01-01

Characterized by its customary symbol system and simple and vivid expression patterns, cyber language acts as not only a tool for convenient communication but also a carrier of abundant emotions and causes high attention in public opinion analysis, internet marketing, service feedback monitoring, and social emergency management. Based on our multidisciplinary research, this paper presents a classification of the emotional symbols in cyber language, analyzes the cognitive characteristics of different symbols, and puts forward a mechanism model to show the dominant neural activities in that process. Through the comparative study of Chinese, English, and Spanish, which are used by the largest population in the world, this paper discusses the expressive patterns of emotions in international cyber languages and proposes an intelligent method for affective computing on cyber language in a unified PAD (Pleasure-Arousal-Dominance) emotional space.

Neural Cognition and Affective Computing on Cyber Language

PubMed Central

Huang, Shuang; Zhou, Xuan; Xue, Ke; Wan, Xiqiong; Yang, Zhenyi; Xu, Duo; Ivanović, Mirjana

2015-01-01

Characterized by its customary symbol system and simple and vivid expression patterns, cyber language acts as not only a tool for convenient communication but also a carrier of abundant emotions and causes high attention in public opinion analysis, internet marketing, service feedback monitoring, and social emergency management. Based on our multidisciplinary research, this paper presents a classification of the emotional symbols in cyber language, analyzes the cognitive characteristics of different symbols, and puts forward a mechanism model to show the dominant neural activities in that process. Through the comparative study of Chinese, English, and Spanish, which are used by the largest population in the world, this paper discusses the expressive patterns of emotions in international cyber languages and proposes an intelligent method for affective computing on cyber language in a unified PAD (Pleasure-Arousal-Dominance) emotional space. PMID:26491431

Object-Oriented Query Language For Events Detection From Images Sequences

NASA Astrophysics Data System (ADS)

Ganea, Ion Eugen

2015-09-01

In this paper is presented a method to represent the events extracted from images sequences and the query language used for events detection. Using an object oriented model the spatial and temporal relationships between salient objects and also between events are stored and queried. This works aims to unify the storing and querying phases for video events processing. The object oriented language syntax used for events processing allow the instantiation of the indexes classes in order to improve the accuracy of the query results. The experiments were performed on images sequences provided from sport domain and it shows the reliability and the robustness of the proposed language. To extend the language will be added a specific syntax for constructing the templates for abnormal events and for detection of the incidents as the final goal of the research.

Architectural Design of a LMS with LTSA-Conformance

ERIC Educational Resources Information Center

Sengupta, Souvik; Dasgupta, Ranjan

2017-01-01

This paper illustrates an approach for architectural design of a Learning Management System (LMS), which is verifiable against the Learning Technology System Architecture (LTSA) conformance rules. We introduce a new method for software architectural design that extends the Unified Modeling Language (UML) component diagram with the formal…

Reconciling Time, Space and Function: A New Dorsal-Ventral Stream Model of Sentence Comprehension

ERIC Educational Resources Information Center

Bornkessel-Schlesewsky, Ina; Schlesewsky, Matthias

2013-01-01

We present a new dorsal-ventral stream framework for language comprehension which unifies basic neurobiological assumptions (Rauschecker & Scott, 2009) with a cross-linguistic neurocognitive sentence comprehension model (eADM; Bornkessel & Schlesewsky, 2006). The dissociation between (time-dependent) syntactic structure-building and…

A comparison of machine learning techniques for detection of drug target articles.

PubMed

Danger, Roxana; Segura-Bedmar, Isabel; Martínez, Paloma; Rosso, Paolo

2010-12-01

Important progress in treating diseases has been possible thanks to the identification of drug targets. Drug targets are the molecular structures whose abnormal activity, associated to a disease, can be modified by drugs, improving the health of patients. Pharmaceutical industry needs to give priority to their identification and validation in order to reduce the long and costly drug development times. In the last two decades, our knowledge about drugs, their mechanisms of action and drug targets has rapidly increased. Nevertheless, most of this knowledge is hidden in millions of medical articles and textbooks. Extracting knowledge from this large amount of unstructured information is a laborious job, even for human experts. Drug target articles identification, a crucial first step toward the automatic extraction of information from texts, constitutes the aim of this paper. A comparison of several machine learning techniques has been performed in order to obtain a satisfactory classifier for detecting drug target articles using semantic information from biomedical resources such as the Unified Medical Language System. The best result has been achieved by a Fuzzy Lattice Reasoning classifier, which reaches 98% of ROC area measure. Copyright © 2010 Elsevier Inc. All rights reserved.

[Medical education in a bachelors and masters system].

PubMed

Harendza, S; Guse, A H

2009-09-01

Gain of basic and applied medical knowledge and the changing demands of society with regard to medical professions are the main factors for continuous reforms in medical curricula. The Bologna Declaration of 1999 initiated the development of a unified European higher education area. A key tool for unification is the introduction of the Bachelors/Masters system. Although some European countries have adapted their medical curricula to the Bachelors/Masters system there is still debate on this issue in Germany. Some societies, e.g., the Society for Medical Education, demonstrated how the Bachelors/Masters system might be transferred to Germany. Moreover, the German Association of Medical Students already published a core curriculum compatible with the Bologna criteria. Some central elements of the Bologna Declaration have already been or could easily be integrated into the current structure of medical studies, e.g., quality assurance or a credit point transfer system. Furthermore, in the framework of the German medical licensure law, it is possible to introduce a curriculum fully compatible with the Bologna Declaration. A meaningful prerequisite would be a unified national (or European) qualification frame and catalog of learning objectives, designed according to the Bologna criteria. This should guarantee good mobility for medical students within Europe.

Comparing Medline citations using modified N-grams

PubMed Central

Nawab, Rao Muhammad Adeel; Stevenson, Mark; Clough, Paul

2014-01-01

Objective We aim to identify duplicate pairs of Medline citations, particularly when the documents are not identical but contain similar information. Materials and methods Duplicate pairs of citations are identified by comparing word n-grams in pairs of documents. N-grams are modified using two approaches which take account of the fact that the document may have been altered. These are: (1) deletion, an item in the n-gram is removed; and (2) substitution, an item in the n-gram is substituted with a similar term obtained from the Unified Medical Language System  Metathesaurus. N-grams are also weighted using a score derived from a language model. Evaluation is carried out using a set of 520 Medline citation pairs, including a set of 260 manually verified duplicate pairs obtained from the Deja Vu database. Results The approach accurately detects duplicate Medline document pairs with an F1 measure score of 0.99. Allowing for word deletions and substitution improves performance. The best results are obtained by combining scores for n-grams of length 1–5 words. Discussion Results show that the detection of duplicate Medline citations can be improved by modifying n-grams and that high performance can also be obtained using only unigrams (F1=0.959), particularly when allowing for substitutions of alternative phrases. PMID:23715801

Comparing Medline citations using modified N-grams.

PubMed

Nawab, Rao Muhammad Adeel; Stevenson, Mark; Clough, Paul

2014-01-01

We aim to identify duplicate pairs of Medline citations, particularly when the documents are not identical but contain similar information. Duplicate pairs of citations are identified by comparing word n-grams in pairs of documents. N-grams are modified using two approaches which take account of the fact that the document may have been altered. These are: (1) deletion, an item in the n-gram is removed; and (2) substitution, an item in the n-gram is substituted with a similar term obtained from the Unified Medical Language System Metathesaurus. N-grams are also weighted using a score derived from a language model. Evaluation is carried out using a set of 520 Medline citation pairs, including a set of 260 manually verified duplicate pairs obtained from the Deja Vu database. The approach accurately detects duplicate Medline document pairs with an F1 measure score of 0.99. Allowing for word deletions and substitution improves performance. The best results are obtained by combining scores for n-grams of length 1-5 words. Results show that the detection of duplicate Medline citations can be improved by modifying n-grams and that high performance can also be obtained using only unigrams (F1=0.959), particularly when allowing for substitutions of alternative phrases.

Finding Important Terms for Patients in Their Electronic Health Records: A Learning-to-Rank Approach Using Expert Annotations

PubMed Central

Zheng, Jiaping; Yu, Hong

2016-01-01

Background Many health organizations allow patients to access their own electronic health record (EHR) notes through online patient portals as a way to enhance patient-centered care. However, EHR notes are typically long and contain abundant medical jargon that can be difficult for patients to understand. In addition, many medical terms in patients’ notes are not directly related to their health care needs. One way to help patients better comprehend their own notes is to reduce information overload and help them focus on medical terms that matter most to them. Interventions can then be developed by giving them targeted education to improve their EHR comprehension and the quality of care. Objective We aimed to develop a supervised natural language processing (NLP) system called Finding impOrtant medical Concepts most Useful to patientS (FOCUS) that automatically identifies and ranks medical terms in EHR notes based on their importance to the patients. Methods First, we built an expert-annotated corpus. For each EHR note, 2 physicians independently identified medical terms important to the patient. Using the physicians’ agreement as the gold standard, we developed and evaluated FOCUS. FOCUS first identifies candidate terms from each EHR note using MetaMap and then ranks the terms using a support vector machine-based learn-to-rank algorithm. We explored rich learning features, including distributed word representation, Unified Medical Language System semantic type, topic features, and features derived from consumer health vocabulary. We compared FOCUS with 2 strong baseline NLP systems. Results Physicians annotated 90 EHR notes and identified a mean of 9 (SD 5) important terms per note. The Cohen’s kappa annotation agreement was .51. The 10-fold cross-validation results show that FOCUS achieved an area under the receiver operating characteristic curve (AUC-ROC) of 0.940 for ranking candidate terms from EHR notes to identify important terms. When including term identification, the performance of FOCUS for identifying important terms from EHR notes was 0.866 AUC-ROC. Both performance scores significantly exceeded the corresponding baseline system scores (P<.001). Rich learning features contributed to FOCUS’s performance substantially. Conclusions FOCUS can automatically rank terms from EHR notes based on their importance to patients. It may help develop future interventions that improve quality of care. PMID:27903489

A Medical Language Processor for Two Indo-European Languages

PubMed Central

Nhan, Ngo Thanh; Sager, Naomi; Lyman, Margaret; Tick, Leo J.; Borst, François; Su, Yun

1989-01-01

The syntax and semantics of clinical narrative across Indo-European languages are quite similar, making it possible to envison a single medical language processor that can be adapted for different European languages. The Linguistic String Project of New York University is continuing the development of its Medical Language Processor in this direction. The paper describes how the processor operates on English and French.

Modelling and Implementation of Catalogue Cards Using FreeMarker

ERIC Educational Resources Information Center

Radjenovic, Jelen; Milosavljevic, Branko; Surla, Dusan

2009-01-01

Purpose: The purpose of this paper is to report on a study involving the specification (using Unified Modelling Language (UML) 2.0) of information requirements and implementation of the software components for generating catalogue cards. The implementation in a Java environment is developed using the FreeMarker software.…

Diversity and Citizenship Education: Global Perspectives

ERIC Educational Resources Information Center

Banks, James A., Ed.

2007-01-01

The increasing ethnic, racial, cultural, religious, and language diversity in nations throughout the world is forcing educators and policymakers to rethink existing notions of citizenship and nationality. To experience cultural democracy and freedom, a nation must be unified around a set of democratic values such as justice and equality that…

A New Tool to Facilitate Learning Reading for Early Childhood

ERIC Educational Resources Information Center

Puspitasari, Cita; Subiyanto

2017-01-01

This paper proposes a new android application for early childhood learning reading. The description includes a design, development, and an evaluation experiment of an educational game for learning reading on android. Before developing the game, Unified Modeling Language (UML) diagrams, interfaces, animation, narrative or audio were designed.…

FORMED: Bringing Formal Methods to the Engineering Desktop

DTIC Science & Technology

2016-02-01

integrates formal verification into software design and development by precisely defining semantics for a restricted subset of the Unified Modeling...input-output contract satisfaction and absence of null pointer dereferences. 15. SUBJECT TERMS Formal Methods, Software Verification , Model-Based...Domain specific languages (DSLs) drive both implementation and formal verification

Improvisation: An Essential Element of Musical Proficiency.

ERIC Educational Resources Information Center

Dobbins, Bill

1980-01-01

The author discusses the importance of improvisation, suggesting that improvisation be introduced in the earliest stages of education and be taught through an approach that integrates ear training, sight-reading, instrumental and vocal techniques and theory into a unified and complete understanding of music as a language. (Author/KC)

"Is English Also the Place Where I Belong?": Linguistic Biographies and Expanding Communicative Repertoires in Central Java

ERIC Educational Resources Information Center

Zentz, Lauren

2015-01-01

This article employs the term "communicative repertoire" in order to highlight that when one learns any new "language", one introduces new communicative resources into a unified communicative repertoire. As repertoires represent such singular "grammars" in individuals' minds, learned communicative resources can…

Benchmarking Outdoor Expeditionary Program Risk Management Strategies

ERIC Educational Resources Information Center

Meerts-Brandsma, Lisa; Furman, Nate; Sibthorp, Jim

2017-01-01

In 2003, the University of Utah and the National Outdoor Leadership School (NOLS) completed a study that developed a risk management taxonomy in the outdoor adventure industry and assessed how different outdoor expeditionary programs (OEPs) managed risk (Szolosi, Sibthorp, Paisley, & Gookin, 2003). By unifying the language around risk, the…

Formal verification of software-based medical devices considering medical guidelines.

PubMed

Daw, Zamira; Cleaveland, Rance; Vetter, Marcus

2014-01-01

Software-based devices have increasingly become an important part of several clinical scenarios. Due to their critical impact on human life, medical devices have very strict safety requirements. It is therefore necessary to apply verification methods to ensure that the safety requirements are met. Verification of software-based devices is commonly limited to the verification of their internal elements without considering the interaction that these elements have with other devices as well as the application environment in which they are used. Medical guidelines define clinical procedures, which contain the necessary information to completely verify medical devices. The objective of this work was to incorporate medical guidelines into the verification process in order to increase the reliability of the software-based medical devices. Medical devices are developed using the model-driven method deterministic models for signal processing of embedded systems (DMOSES). This method uses unified modeling language (UML) models as a basis for the development of medical devices. The UML activity diagram is used to describe medical guidelines as workflows. The functionality of the medical devices is abstracted as a set of actions that is modeled within these workflows. In this paper, the UML models are verified using the UPPAAL model-checker. For this purpose, a formalization approach for the UML models using timed automaton (TA) is presented. A set of requirements is verified by the proposed approach for the navigation-guided biopsy. This shows the capability for identifying errors or optimization points both in the workflow and in the system design of the navigation device. In addition to the above, an open source eclipse plug-in was developed for the automated transformation of UML models into TA models that are automatically verified using UPPAAL. The proposed method enables developers to model medical devices and their clinical environment using clinical workflows as one UML diagram. Additionally, the system design can be formally verified automatically.

Handing Over and Letting Go: Using Online Continuing Medical Education in Teaching and Assessing Medical English Language and Communication Skills to Undergraduates

ERIC Educational Resources Information Center

Vekemans, Herlinda

2016-01-01

In the last few decades the medical community has increasingly underlined the necessity for medical students and healthcare professionals to acquire adequate and patient-friendly medical language and communication skills. Although teachers of foreign languages for medical purposes are usually not medically trained, their learners present them with…

The semiotics of medical image Segmentation.

PubMed

Baxter, John S H; Gibson, Eli; Eagleson, Roy; Peters, Terry M

2018-02-01

As the interaction between clinicians and computational processes increases in complexity, more nuanced mechanisms are required to describe how their communication is mediated. Medical image segmentation in particular affords a large number of distinct loci for interaction which can act on a deep, knowledge-driven level which complicates the naive interpretation of the computer as a symbol processing machine. Using the perspective of the computer as dialogue partner, we can motivate the semiotic understanding of medical image segmentation. Taking advantage of Peircean semiotic traditions and new philosophical inquiry into the structure and quality of metaphors, we can construct a unified framework for the interpretation of medical image segmentation as a sign exchange in which each sign acts as an interface metaphor. This allows for a notion of finite semiosis, described through a schematic medium, that can rigorously describe how clinicians and computers interpret the signs mediating their interaction. Altogether, this framework provides a unified approach to the understanding and development of medical image segmentation interfaces. Copyright © 2017 Elsevier B.V. All rights reserved.

Development of Markup Language for Medical Record Charting: A Charting Language.

PubMed

Jung, Won-Mo; Chae, Younbyoung; Jang, Bo-Hyoung

2015-01-01

Nowadays a lot of trials for collecting electronic medical records (EMRs) exist. However, structuring data format for EMR is an especially labour-intensive task for practitioners. Here we propose a new mark-up language for medical record charting (called Charting Language), which borrows useful properties from programming languages. Thus, with Charting Language, the text data described in dynamic situation can be easily used to extract information.

Medical Home Disparities for Latino Children by Parental Language of Interview

PubMed Central

DeCamp, Lisa Ross; Choi, Hwajung; Davis, Matthew M.

2015-01-01

Examination of Latino children in aggregate ignores important subgroup differences due to the parents’ English language ability. Previous reports of the pediatric medical home have not stratified Latino children by parental language differences to compare the two groups directly. We analyzed the 2007 National Survey of Children’s Health to determine medical home prevalence among Latino children, stratified by language of parental interview. Most Latino children with a Spanish-language parental interview had a usual source of care, but only one-quarter had a medical home. Striking medical home disparities persisted for Latino children with a Spanish-language interview, even after adjustment for potential confounders. Lack of a medical home was associated with disparities in the quality of care, more so than access disparities. Addressing health care disparities for Latino children requires particular attention to the unique needs of Latino children with parents who may experience language barriers during health care encounters. PMID:22080700

A sense inventory for clinical abbreviations and acronyms created using clinical notes and medical dictionary resources.

PubMed

Moon, Sungrim; Pakhomov, Serguei; Liu, Nathan; Ryan, James O; Melton, Genevieve B

2014-01-01

To create a sense inventory of abbreviations and acronyms from clinical texts. The most frequently occurring abbreviations and acronyms from 352,267 dictated clinical notes were used to create a clinical sense inventory. Senses of each abbreviation and acronym were manually annotated from 500 random instances and lexically matched with long forms within the Unified Medical Language System (UMLS V.2011AB), Another Database of Abbreviations in Medline (ADAM), and Stedman's Dictionary, Medical Abbreviations, Acronyms & Symbols, 4th edition (Stedman's). Redundant long forms were merged after they were lexically normalized using Lexical Variant Generation (LVG). The clinical sense inventory was found to have skewed sense distributions, practice-specific senses, and incorrect uses. Of 440 abbreviations and acronyms analyzed in this study, 949 long forms were identified in clinical notes. This set was mapped to 17,359, 5233, and 4879 long forms in UMLS, ADAM, and Stedman's, respectively. After merging long forms, only 2.3% matched across all medical resources. The UMLS, ADAM, and Stedman's covered 5.7%, 8.4%, and 11% of the merged clinical long forms, respectively. The sense inventory of clinical abbreviations and acronyms and anonymized datasets generated from this study are available for public use at http://www.bmhi.umn.edu/ihi/research/nlpie/resources/index.htm ('Sense Inventories', website). Clinical sense inventories of abbreviations and acronyms created using clinical notes and medical dictionary resources demonstrate challenges with term coverage and resource integration. Further work is needed to help with standardizing abbreviations and acronyms in clinical care and biomedicine to facilitate automated processes such as text-mining and information extraction.

Factors that influence patient response to requests to change to a unified restrictive formulary.

PubMed

Smetana, Gerald W; Davis, Roger B; Phillips, Russell S

2004-12-01

To determine factors that influence patient willingness to accept a medication change to a unified, restrictive formulary. Prospective cohort study. University-affiliated hospital-based primary care internal medicine practice. Two hundred ninety-seven members of a managed care plan who had received a prescription for a nonformulary medication in the previous 4 months and whose primary care physician approved a conversion to a formulary medication. Clinical nurses invited patients to change to a formulary medication at the time of a telephone refill request based on a standard script. The overall conversion rate to the formulary medication was 59.8%. Seventy-four percent of patients who requested a refill by telephone converted to the formulary (odds ratio [OR], 2.24; 95% confidence interval [CI], 1.02 to 4.72). Patient age (OR, 1.03; CI, 1.01 to 1.05) and male gender (OR, 2.00; CI, 1.09 to 3.67) were each significant correlates of conversion. After adjustment in a multivariable model, only telephone refill request (adjusted OR, 2.31; CI, 1.07 to 4.97) and age (adjusted OR, 1.03; CI, 1.01 to 1.06) remained significant. Among the patients who made a telephone refill request, those who converted were more likely to completely trust their physician's judgment (P=.04) and to trust their physician to put their health over cost concerns (P=.05). Formulary conversion reduced costs beginning 3 months after the conversion date. A protocol for encouraging conversion to a unified formulary at the point of a telephone refill request increases formulary compliance rates and reduces medication costs. Patients who decline to convert medications are less likely to trust their physician.

Use of emergency department electronic medical records for automated epidemiological surveillance of suicide attempts: a French pilot study.

PubMed

Metzger, Marie-Hélène; Tvardik, Nastassia; Gicquel, Quentin; Bouvry, Côme; Poulet, Emmanuel; Potinet-Pagliaroli, Véronique

2017-06-01

The aim of this study was to determine whether an expert system based on automated processing of electronic health records (EHRs) could provide a more accurate estimate of the annual rate of emergency department (ED) visits for suicide attempts in France, as compared to the current national surveillance system based on manual coding by emergency practitioners. A feasibility study was conducted at Lyon University Hospital, using data for all ED patient visits in 2012. After automatic data extraction and pre-processing, including automatic coding of medical free-text through use of the Unified Medical Language System, seven different machine-learning methods were used to classify the reasons for ED visits into "suicide attempts" versus "other reasons". The performance of these different methods was compared by using the F-measure. In a test sample of 444 patients admitted to the ED in 2012 (98 suicide attempts, 48 cases of suicidal ideation, and 292 controls with no recorded non-fatal suicidal behaviour), the F-measure for automatic detection of suicide attempts ranged from 70.4% to 95.3%. The random forest and naïve Bayes methods performed best. This study demonstrates that machine-learning methods can improve the quality of epidemiological indicators as compared to current national surveillance of suicide attempts. Copyright © 2016 John Wiley & Sons, Ltd.

Semantic Mappings and Locality of Nursing Diagnostic Concepts in UMLS

PubMed Central

Kim, Tae Youn; Coenen, Amy; Hardiker, Nicholas

2011-01-01

One solution for enhancing the interoperability between nursing information systems, given the availability of multiple nursing terminologies, is to cross-map existing nursing concepts. The Unified Medical Language System (UMLS) developed and distributed by the National Library of Medicine (NLM) is a knowledge resource containing cross-mappings of various terminologies in a unified framework. While the knowledge resource has been available for the last two decades, little research on the representation of nursing terminologies in UMLS has been conducted. As a first step, UMLS semantic mappings and concept locality were examined for nursing diagnostic concepts or problems selected from three terminologies (i.e., CCC, ICNP, and NANDA-I) along with corresponding SNOMED CT concepts. The evaluation of UMLS semantic mappings was conducted by measuring the proportion of concordance between UMLS and human expert mappings. The semantic locality of nursing diagnostic concepts was assessed by examining the associations of select concepts and the placement of the nursing concepts on the Semantic Network and Group. The study found that the UMLS mappings of CCC and NANDA-I concepts to SNOMED CT were highly concordant to expert mappings. The level of concordance in mappings of ICNP to SNOMED CT, CCC and NANDA-I within UMLS was relatively low, indicating the need for further research and development. Likewise, the semantic locality of ICNP concepts could be further improved. Various stakeholders need to collaborate to enhance the NLM knowledge resource and the interoperability of nursing data within the discipline as well as across health-related disciplines. PMID:21951759

Incidence Rate of Canonical vs. Derived Medical Terminology in Natural Language.

PubMed

Topac, Vasile; Jurcau, Daniel-Alexandru; Stoicu-Tivadar, Vasile

2015-01-01

Medical terminology appears in the natural language in multiple forms: canonical, derived or inflected form. This research presents an analysis of the form in which medical terminology appears in Romanian and English language. The sources of medical language used for the study are web pages presenting medical information for patients and other lay users. The results show that, in English, medical terminology tends to appear more in canonical form while, in the case of Romanian, it is the opposite. This paper also presents the service that was created to perform this analysis. This tool is available for the general public, and it is designed to be easily extensible, allowing the addition of other languages.

21 CFR 801.16 - Medical devices; Spanish-language version of certain required statements.

Code of Federal Regulations, 2011 CFR

2011-04-01

... 21 Food and Drugs 8 2011-04-01 2011-04-01 false Medical devices; Spanish-language version of....16 Medical devices; Spanish-language version of certain required statements. If devices restricted to... Spanish is the predominant language, such labeling is authorized under § 801.15(c). ...

["Linguistitis" of medical terminology (II). Language-policy and questions from a perspective of younger physicians].

PubMed

Høy, A

1996-12-02

In a previous article in the Journal of the Danish Medical Association, "Medical Terminology Linguistitis (I)", the author pointed out the importance of involving the users in connection with the definition of a language policy concerning Danish medical terminology and future medical doctors' need for language proficiency. A recent inquiry, involving 11 medical doctors (Ph.D. students), suggests that there is in fact a need for a language policy. Also, the respondents expressed strong antipathy against a full nationalization of the terms which can in some cases be observed in the Danish version of ICD-10. On the basis of this survey, the following questions are discussed in this article: Future medical doctors' need for knowledge of Latin and English, medical doctors' opinions concerning a terminology based on Latin, or Danish, and some important aspects concerning the definition of a language policy in the medical area.

Communication in science.

PubMed

Deda, H; Yakupoglu, H

2002-01-01

Science must have a common language. For centuries, Latin language carried out this job, but the progress in computer technology and internet world through the last 20 years, began to produce a new language with the new century; the computer language. The information masses, which need data language standardization, are the followings; Digital libraries and medical education systems, Consumer health informatics, Medical education systems, World Wide Web Applications, Database systems, Medical language processing, Automatic indexing systems, Image processing units, Telemedicine, New Generation Internet (NGI).

Comprehending Historical Narratives: Exploring the Relationship between Causal Language and Students' Mental Representations of History

ERIC Educational Resources Information Center

Fitzgerald, Jason C.

2011-01-01

For over a century, history teachers throughout the United States have selected textbooks as the primary instructional material for their classrooms, while textbook authors and publishers have continuously produced a unified nation-state narrative that presents United States history as a series of objective historical facts for student…

Access, Prestige and Losses in Contact Languages

ERIC Educational Resources Information Center

Parkvall, Mikael

2013-01-01

I am generally positive about Muysken's (M) approach, and the potential use of unifying various seemingly related phenomena is obvious. The approach could also serve as a tool in determining to what extent these phenomena actually are sides of the same coin (I am somewhat less convinced of this than most contact linguists).

The Impact of an Automated Learning Component against a Traditional Lecturing Environment

ERIC Educational Resources Information Center

Maycock, Keith W.; Keating, J. G.

2017-01-01

This experimental study investigates the effect on the examination performance of a cohort of first-year undergraduate learners undertaking a Unified Modelling Language (UML) course using an adaptive learning system against a control group of learners undertaking the same UML course through a traditional lecturing environment. The adaptive…

The Quest for Space--CD-ROM and Capacity Constraints.

ERIC Educational Resources Information Center

Wright, David

1997-01-01

Examines the current status of optical technology, in particular the CD-ROM and its projected obsolescence due to DVD technology. The article focuses on the recent COBUILD release, addressing the rationale for integrating the learning of prefabricated items and collocations into the language learning syllabus. A unifying theme of this article is…

Traffic Flow - USMES Teacher Resource Book. Fourth Edition. Trial Edition.

ERIC Educational Resources Information Center

Keskulla, Jean

This Unified Sciences and Mathematics for Elementary Schools (USMES) unit challenges students to improve traffic flow at a problem location. The challenge is general enough to apply to many problem-solving situations in mathematics, science, social science, and language arts at any elementary school level (grades 1-8). The Teacher Resource Book…

Pedestrian Crossings - USMES Teacher Resource Book. Fifth Edition. Trial Edition.

ERIC Educational Resources Information Center

Keskulla, Jean

This Unified Sciences and Mathematics for Elementary Schools (USMES) unit challenges students to improve the safety and convenience of a pedestrian crossing near a school. The challenge is general enough to apply to many problem-solving situations in mathematics, science, social science, and language arts at any elementary school level (grades…

Software system architecture for corporate user support

NASA Astrophysics Data System (ADS)

Sukhopluyeva, V. S.; Kuznetsov, D. Y.

2017-01-01

In this article, several existing ready-to-use solutions for the HelpDesk are reviewed. Advantages and disadvantages of these systems are identified. Architecture of software solution for a corporate user support system is presented in a form of the use case, state, and component diagrams described by using a unified modeling language (UML).

The Time Machine in Our Mind

ERIC Educational Resources Information Center

Stocker, Kurt

2012-01-01

This article provides the first comprehensive conceptual account for the imagistic mental machinery that allows us to travel through time--for the time machine in our mind. It is argued that language reveals this imagistic machine and how we use it. Findings from a range of cognitive fields are theoretically unified and a recent proposal about…

Protecting Property - USMES Teacher Resource Book. First Edition. Trial Edition.

ERIC Educational Resources Information Center

Bussey, Margery Koo

This Unified Sciences and Mathematics for Elementary Schools (USMES) unit challenges students to find good ways to protect property (property in desks or lockers; animals; bicycles; tools). The challenge is general enough to apply to many problem-solving situations in mathematics, science, social science, and language arts at any elementary school…

"Hey, I Didn't Say That!": Teaching Textual Integrity through Misrepresented Quotes

ERIC Educational Resources Information Center

Ford, Jessica L.

2015-01-01

Despite specialized areas of expertise, communication instructors are unified, to a large extent, by a singular belief: the meaning people give words produces behavioral ramifications (Mead, 2009). Communication instructors revere language's ability to reflect both meaning and reality. Yet, they also are tasked with the responsibility of conveying…

On Location: The Structure of Case and Adpositions

ERIC Educational Resources Information Center

Radkevich, Nina V.

2010-01-01

The general goal of this dissertation is two-fold: first, I provide a unified structure for spatial expressions (local cases and adpositions) and second, I propose a novel approach to vocabulary insertion and generation of portmanteau morphemes. I propose a novel structure for local case affixes, based on data from 114 languages and argue that…

Case Marking Uniformity in Developmental Pronoun Errors

ERIC Educational Resources Information Center

Fitzgerald, Colleen E.; Rispoli, Matthew; Hadley, Pamela A.

2017-01-01

The purpose of this study was to determine if children acquire grammatical case as a unified system or in a piecemeal fashion. In English language acquisition, many children make developmental errors in marking case on subject position pronouns (e.g., "Me" do it, "Him" like it). It is unknown whether children who produce…

Manufacturing - USMES Teacher Resource Book. Second Edition. Trial Edition.

ERIC Educational Resources Information Center

Agro, Sally

This Unified Sciences and Mathematics for Elementary Schools (USMES) unit challenges students to find the best way to produce an item in quantities needed. The challenge is general enough to apply to many problem-solving situations in mathematics, science, social science, and language arts at any elementary school level (grades 1-8). The Teacher…

Multilingualism in Brussels: "I'd Rather Speak English"

ERIC Educational Resources Information Center

O'Donnell, Paul; Toebosch, AnneMarie

2008-01-01

Language is both a divisive and a unifying force in Brussels. Historically predominantly Dutch-speaking, surrounded by the officially Dutch-speaking federal state of Flanders, located in a majority Dutch-speaking nation-state, and with the majority of its Belgian citizens Francophone, Brussels has officially been bilingual Dutch-French since 1962.…

Examination of Modeling Languages to Allow Quantitative Analysis for Model-Based Systems Engineering

DTIC Science & Technology

2014-06-01

x THIS PAGE INTENTIONALLY LEFT BLANK xi LIST OF ACRONYMS AND ABBREVIATIONS BOM Base Object Model BPMN Business Process Model & Notation DOD...SysML. There are many variants such as the Unified Profile for DODAF/MODAF (UPDM) and Business Process Model & Notation ( BPMN ) that have origins in

Working with Navajo Special Education Students on the Reservation: Cultural Implications.

ERIC Educational Resources Information Center

Watt, Carolyn; Sorgnit, Heather; Medina, Catherine; Jennings, Marianne; Heimbecker, Connie; Gonnie, Pat; Dugi, Audrelia; Bowsley, Virginia; Prater, Greg

A study in the Kayenta Unified School District (Arizona) on the Navajo Nation--the largest reservation in the United States--examined cultural and language barriers in teaching Navajo special education students. Questionnaires were returned from 26 teachers at all grade levels, and interviews were conducted with 5 teachers and the district…

Counting Language: An Exercise in Stigmatization

ERIC Educational Resources Information Center

Gayles, Jonathan; Denerville, Daphney

2007-01-01

Since the Oakland Unified School District passed its resolution on Ebonics in 1998, Ebonics has been a lightning rod for controversy of all sorts. The utilitarian intent of the original resolution was lost as the debate of Ebonics became intensely political and, to a great extent, marred by existing patterns of racial hierarchy and stigmatization.…

A unified probabilistic approach to improve spelling in an event-related potential-based brain-computer interface.

PubMed

Kindermans, Pieter-Jan; Verschore, Hannes; Schrauwen, Benjamin

2013-10-01

In recent years, in an attempt to maximize performance, machine learning approaches for event-related potential (ERP) spelling have become more and more complex. In this paper, we have taken a step back as we wanted to improve the performance without building an overly complex model, that cannot be used by the community. Our research resulted in a unified probabilistic model for ERP spelling, which is based on only three assumptions and incorporates language information. On top of that, the probabilistic nature of our classifier yields a natural dynamic stopping strategy. Furthermore, our method uses the same parameters across 25 subjects from three different datasets. We show that our classifier, when enhanced with language models and dynamic stopping, improves the spelling speed and accuracy drastically. Additionally, we would like to point out that as our model is entirely probabilistic, it can easily be used as the foundation for complex systems in future work. All our experiments are executed on publicly available datasets to allow for future comparison with similar techniques.

Medical knowledge and the improvement of vernacular languages in the Habsburg Monarchy: A case study from Transylvania (1770–1830)

PubMed Central

Sechel, Teodora Daniela

2012-01-01

In all European countries, the eighteenth century was characterised by efforts to improve the vernaculars. The Transylvanian case study shows how both codified medical language and ordinary language were constructed and enriched by a large number of medical books and brochures. The publication of medical literature in Central European vernacular languages in order to popularise new medical knowledge was a comprehensive programme, designed on the one hand by intellectual, political and religious elites who urged the improvement of the fatherland and the promotion of the common good by perfecting the arts and sciences. On the other hand, the imperial administration’s initiatives affected local forms of medical knowledge and the construction of vernacular languages. In the eighteenth century, the construction of vernacular languages in the Habsburg Monarchy took on a significant political character. However, in the process of building of the scientific and medical vocabulary, the main preoccupation was precision, clarity and accessibility of the neologisms being invented to encompass the medical phenomena being described. In spite of political conflicts among the ‘nations’ living in Transylvania, physicians borrowed words from German, Hungarian and Romanian. Thus they elevated several words used in everyday language to the upper social stratum of language use, leading to the invention of new terms to describe particular medical practices or phenomena. PMID:22595134

Customer-experienced rapid prototyping

NASA Astrophysics Data System (ADS)

Zhang, Lijuan; Zhang, Fu; Li, Anbo

2008-12-01

In order to describe accurately and comprehend quickly the perfect GIS requirements, this article will integrate the ideas of QFD (Quality Function Deployment) and UML (Unified Modeling Language), and analyze the deficiency of prototype development model, and will propose the idea of the Customer-Experienced Rapid Prototyping (CE-RP) and describe in detail the process and framework of the CE-RP, from the angle of the characteristics of Modern-GIS. The CE-RP is mainly composed of Customer Tool-Sets (CTS), Developer Tool-Sets (DTS) and Barrier-Free Semantic Interpreter (BF-SI) and performed by two roles of customer and developer. The main purpose of the CE-RP is to produce the unified and authorized requirements data models between customer and software developer.

Using UMLS to construct a generalized hierarchical concept-based dictionary of brain functions for information extraction from the fMRI literature.

PubMed

Hsiao, Mei-Yu; Chen, Chien-Chung; Chen, Jyh-Horng

2009-10-01

With a rapid progress in the field, a great many fMRI studies are published every year, to the extent that it is now becoming difficult for researchers to keep up with the literature, since reading papers is extremely time-consuming and labor-intensive. Thus, automatic information extraction has become an important issue. In this study, we used the Unified Medical Language System (UMLS) to construct a hierarchical concept-based dictionary of brain functions. To the best of our knowledge, this is the first generalized dictionary of this kind. We also developed an information extraction system for recognizing, mapping and classifying terms relevant to human brain study. The precision and recall of our system was on a par with that of human experts in term recognition, term mapping and term classification. Our approach presented in this paper presents an alternative to the more laborious, manual entry approach to information extraction.

An information sources map for Occupational and Environmental Medicine: guidance to network-based information through domain-specific indexing.

PubMed Central

Silverstein, S. M.; Miller, P. L.; Cullen, M. R.

1993-01-01

This paper describes a prototype information sources map (ISM), an on-line information source finder, for Occupational and Environmental Medicine (OEM). The OEM ISM was built as part of the Unified Medical Language System (UMLS) project of the National Library of Medicine. It allows a user to identify sources of on-line information appropriate to a specific OEM question, and connect to the sources. In the OEM ISM we explore a domain-specific method of indexing information source contents, and also a domain-specific user interface. The indexing represents a domain expert's opinion of the specificity of an information source in helping to answer specific types of domain questions. For each information source, an index field represents whether a source might provide useful information in an occupational, industrial, or environmental category. Additional fields represent the degree of specificity of a source in individual question types in each category. The paper discusses the development, design, and implementation of the prototype OEM ISM. PMID:8130548

Graph-based signal integration for high-throughput phenotyping

PubMed Central

2012-01-01

Background Electronic Health Records aggregated in Clinical Data Warehouses (CDWs) promise to revolutionize Comparative Effectiveness Research and suggest new avenues of research. However, the effectiveness of CDWs is diminished by the lack of properly labeled data. We present a novel approach that integrates knowledge from the CDW, the biomedical literature, and the Unified Medical Language System (UMLS) to perform high-throughput phenotyping. In this paper, we automatically construct a graphical knowledge model and then use it to phenotype breast cancer patients. We compare the performance of this approach to using MetaMap when labeling records. Results MetaMap's overall accuracy at identifying breast cancer patients was 51.1% (n=428); recall=85.4%, precision=26.2%, and F1=40.1%. Our unsupervised graph-based high-throughput phenotyping had accuracy of 84.1%; recall=46.3%, precision=61.2%, and F1=52.8%. Conclusions We conclude that our approach is a promising alternative for unsupervised high-throughput phenotyping. PMID:23320851

BiobankUniverse: automatic matchmaking between datasets for biobank data discovery and integration

PubMed Central

Pang, Chao; Kelpin, Fleur; van Enckevort, David; Eklund, Niina; Silander, Kaisa; Hendriksen, Dennis; de Haan, Mark; Jetten, Jonathan; de Boer, Tommy; Charbon, Bart; Holub, Petr; Hillege, Hans; Swertz, Morris A

2017-01-01

Abstract Motivation Biobanks are indispensable for large-scale genetic/epidemiological studies, yet it remains difficult for researchers to determine which biobanks contain data matching their research questions. Results To overcome this, we developed a new matching algorithm that identifies pairs of related data elements between biobanks and research variables with high precision and recall. It integrates lexical comparison, Unified Medical Language System ontology tagging and semantic query expansion. The result is BiobankUniverse, a fast matchmaking service for biobanks and researchers. Biobankers upload their data elements and researchers their desired study variables, BiobankUniverse automatically shortlists matching attributes between them. Users can quickly explore matching potential and search for biobanks/data elements matching their research. They can also curate matches and define personalized data-universes. Availability and implementation BiobankUniverse is available at http://biobankuniverse.com or can be downloaded as part of the open source MOLGENIS suite at http://github.com/molgenis/molgenis. Contact m.a.swertz@rug.nl Supplementary information Supplementary data are available at Bioinformatics online. PMID:29036577

Design and Evaluation of a Bacterial Clinical Infectious Diseases Ontology

PubMed Central

Gordon, Claire L.; Pouch, Stephanie; Cowell, Lindsay G.; Boland, Mary Regina; Platt, Heather L.; Goldfain, Albert; Weng, Chunhua

2013-01-01

With antimicrobial resistance increasing worldwide, there is a great need to use automated antimicrobial decision support systems (ADSSs) to lower antimicrobial resistance rates by promoting appropriate antimicrobial use. However, they are infrequently used mostly because of their poor interoperability with different health information technologies. Ontologies can augment portable ADSSs by providing an explicit knowledge representation for biomedical entities and their relationships, helping to standardize and integrate heterogeneous data resources. We developed a bacterial clinical infectious diseases ontology (BCIDO) using Protégé-OWL. BCIDO defines a controlled terminology for clinical infectious diseases along with domain knowledge commonly used in hospital settings for clinical infectious disease treatment decision-making. BCIDO has 599 classes and 2355 object properties. Terms were imported from or mapped to Systematized Nomenclature of Medicine, Unified Medical Language System, RxNorm and National Center for Bitechnology Information Organismal Classification where possible. Domain expert evaluation using the “laddering” technique, ontology visualization, and clinical notes and scenarios, confirmed the correctness and potential usefulness of BCIDO. PMID:24551353

Perils of providing visual health information overviews for consumers with low health literacy or high stress

PubMed Central

Miller, Trudi

2010-01-01

This pilot study explores the impact of a health topics overview (HTO) on reading comprehension. The HTO is generated automatically based on the presence of Unified Medical Language System terms. In a controlled setting, we presented health texts and posed 15 questions for each. We compared performance with and without the HTO. The answers were available in the text, but not always in the HTO. Our study (n=48) showed that consumers with low health literacy or high stress performed poorly when the HTO was available without linking directly to the answer. They performed better with direct links in the HTO or when the HTO was not available at all. Consumers with high health literacy or low stress performed better regardless of the availability of the HTO. Our data suggests that vulnerable consumers relied solely on the HTO when it was available and were misled when it did not provide the answer. PMID:20190068

Race, populations, and genomics: Africa as laboratory.

PubMed

Braun, Lundy; Hammonds, Evelynn

2008-11-01

Much of the recent debate over race, genetics, and health has focused on the extent to which typological notions of race have biological meaning. Less attention, however, has been paid to the assumptions about the nature of "populations" that both inform contemporary biological and medical research and that underlie the concept of race. Focusing specifically on Africa in the 1930s and 1940s, this paper explores the history of how fluid societies were transformed into bounded units amenable to scientific analysis. In the so-called "Golden Age of Ethnography," university-trained social anthropologists, primarily from Britain and South Africa, took to the field to systematically study, organize, and order the world's diverse peoples. Intent on creating a scientific methodology of neutral observation, they replaced amateur travelers, traders, colonial administrators, and missionaries as authoritative knowledge producers about the customs, beliefs, and languages of indigenous peoples. At the same time, linguists were engaged in unifying African languages and mapping language onto primordial "tribal" territories. We argue that the notion of populations or "tribes" as discrete units suitable for scientific sampling and classification emerged in the 1930s and 1940s with the ethnographic turn in social anthropology and the professionalization and institutionalization of linguistics in Western and South African universities. Once named and entered into international atlases and databases by anthropologists in the U.S., the existence of populations as bounded entities became self-evident, thus setting the stage for their use in large-scale population genetic studies and the contemporary reinvigoration of broad claims of difference based on population identification.

Automated encoding of clinical documents based on natural language processing.

PubMed

Friedman, Carol; Shagina, Lyudmila; Lussier, Yves; Hripcsak, George

2004-01-01

The aim of this study was to develop a method based on natural language processing (NLP) that automatically maps an entire clinical document to codes with modifiers and to quantitatively evaluate the method. An existing NLP system, MedLEE, was adapted to automatically generate codes. The method involves matching of structured output generated by MedLEE consisting of findings and modifiers to obtain the most specific code. Recall and precision applied to Unified Medical Language System (UMLS) coding were evaluated in two separate studies. Recall was measured using a test set of 150 randomly selected sentences, which were processed using MedLEE. Results were compared with a reference standard determined manually by seven experts. Precision was measured using a second test set of 150 randomly selected sentences from which UMLS codes were automatically generated by the method and then validated by experts. Recall of the system for UMLS coding of all terms was .77 (95% CI.72-.81), and for coding terms that had corresponding UMLS codes recall was .83 (.79-.87). Recall of the system for extracting all terms was .84 (.81-.88). Recall of the experts ranged from .69 to .91 for extracting terms. The precision of the system was .89 (.87-.91), and precision of the experts ranged from .61 to .91. Extraction of relevant clinical information and UMLS coding were accomplished using a method based on NLP. The method appeared to be comparable to or better than six experts. The advantage of the method is that it maps text to codes along with other related information, rendering the coded output suitable for effective retrieval.

Sleep-Dependent Memory Consolidation and Incremental Sentence Comprehension: Computational Dependencies during Language Learning as Revealed by Neuronal Oscillations

PubMed Central

Cross, Zachariah R.; Kohler, Mark J.; Schlesewsky, Matthias; Gaskell, M. G.; Bornkessel-Schlesewsky, Ina

2018-01-01

We hypothesize a beneficial influence of sleep on the consolidation of the combinatorial mechanisms underlying incremental sentence comprehension. These predictions are grounded in recent work examining the effect of sleep on the consolidation of linguistic information, which demonstrate that sleep-dependent neurophysiological activity consolidates the meaning of novel words and simple grammatical rules. However, the sleep-dependent consolidation of sentence-level combinatorics has not been studied to date. Here, we propose that dissociable aspects of sleep neurophysiology consolidate two different types of combinatory mechanisms in human language: sequence-based (order-sensitive) and dependency-based (order-insensitive) combinatorics. The distinction between the two types of combinatorics is motivated both by cross-linguistic considerations and the neurobiological underpinnings of human language. Unifying this perspective with principles of sleep-dependent memory consolidation, we posit that a function of sleep is to optimize the consolidation of sequence-based knowledge (the when) and the establishment of semantic schemas of unordered items (the what) that underpin cross-linguistic variations in sentence comprehension. This hypothesis builds on the proposal that sleep is involved in the construction of predictive codes, a unified principle of brain function that supports incremental sentence comprehension. Finally, we discuss neurophysiological measures (EEG/MEG) that could be used to test these claims, such as the quantification of neuronal oscillations, which reflect basic mechanisms of information processing in the brain. PMID:29445333

Towards a behavioral-matching based compilation of synthetic biology functions.

PubMed

Basso-Blandin, Adrien; Delaplace, Franck

2015-09-01

The field of synthetic biology is looking forward engineering framework for safely designing reliable de-novo biological functions. In this undertaking, Computer-Aided-Design (CAD) environments should play a central role for facilitating the design. Although, CAD environment is widely used to engineer artificial systems the application in synthetic biology is still in its infancy. In this article we address the problem of the design of a high level language which at the core of CAD environment. More specifically the Gubs (Genomic Unified Behavioural Specification) language is a specification language used to describe the observations of the expected behaviour. The compiler appropriately selects components such that the observation of the synthetic biological function resulting to their assembly complies to the programmed behaviour.

Lexical access in sign language: a computational model.

PubMed

Caselli, Naomi K; Cohen-Goldberg, Ariel M

2014-01-01

PSYCHOLINGUISTIC THEORIES HAVE PREDOMINANTLY BEEN BUILT UPON DATA FROM SPOKEN LANGUAGE, WHICH LEAVES OPEN THE QUESTION: How many of the conclusions truly reflect language-general principles as opposed to modality-specific ones? We take a step toward answering this question in the domain of lexical access in recognition by asking whether a single cognitive architecture might explain diverse behavioral patterns in signed and spoken language. Chen and Mirman (2012) presented a computational model of word processing that unified opposite effects of neighborhood density in speech production, perception, and written word recognition. Neighborhood density effects in sign language also vary depending on whether the neighbors share the same handshape or location. We present a spreading activation architecture that borrows the principles proposed by Chen and Mirman (2012), and show that if this architecture is elaborated to incorporate relatively minor facts about either (1) the time course of sign perception or (2) the frequency of sub-lexical units in sign languages, it produces data that match the experimental findings from sign languages. This work serves as a proof of concept that a single cognitive architecture could underlie both sign and word recognition.

Constructing Language Normativity through the Animation of Stance in Spanish Language Medical Consultations

PubMed Central

Vickers, Caroline H.; Deckert, Sharon K.; Goble, Ryan

2013-01-01

The purpose of this study is to examine the construction of language normativity as medical providers interact with patients and animate stance within Spanish language medical consultations. The context of the study is a clinic in which providers use Spanish to communicate with monolingual Spanish-speaking patients. This clinic is in the United States, an English-speaking macro-societal context. Findings indicate that providers who are second language users of Spanish animate stance and interact with patients in ways that English is constructed as normative and Spanish as marked. Implications include the need to consider how the construction of language normativity within medical consultations affects health outcomes. PMID:24156518

Predicting medical staff intention to use an online reporting system with modified unified theory of acceptance and use of technology.

PubMed

Chang, I-Chiu; Hsu, Hui-Mei

2012-01-01

Barriers to report incident events using an online information system (IS) may be different from those of a paper-based reporting system. The nationwide online Patient-Safety Reporting System (PSRS) contains a value judgment behind use of the system, similar to the Value of Perceived Consequence (VPC), which is seldom discussed in ISs applications of other disciplines. This study developed a more adequate research framework by integrating the VPC construct into the well-known Unified Theory of Acceptance and Use of Technology (UTAUT) model as a theoretical base to explore the predictors of medical staff's intention to use online PSRS. The results showed that management support was an important factor to influence medical staff's intention of using PSRS. The effects of factors such as performance expectancy, perceived positive, and perceived negative consequence on medical staff's intention of using PSRS were moderated by gender, age, experience, and occupation. The results proved that the modified UTAUT model is significant and useful in predicting medical staff's intention of using the nationwide online PSRS.

Bridging the Vector Calculus Gap

NASA Astrophysics Data System (ADS)

Dray, Tevian; Manogue, Corinne

2003-05-01

As with Britain and America, mathematicians and physicists are separated from each other by a common language. In a nutshell, mathematics is about functions, but physics is about things. For the last several years, we have led an NSF-supported effort to "bridge the vector calculus gap" between mathematics and physics. The unifying theme we have discovered is to emphasize geometric reasoning, not (just) algebraic computation. In this talk, we will illustrate the language differences between mathematicians and physicists, and how we are trying reconcile them in the classroom. For further information about the project go to: http://www.physics.orst.edu/bridge

An Investigation of Difficulties Experienced by Students Developing Unified Modelling Language (UML) Class and Sequence Diagrams

ERIC Educational Resources Information Center

Sien, Ven Yu

2011-01-01

Object-oriented analysis and design (OOAD) is not an easy subject to learn. There are many challenges confronting students when studying OOAD. Students have particular difficulty abstracting real-world problems within the context of OOAD. They are unable to effectively build object-oriented (OO) models from the problem domain because they…

Software techniques for a distributed real-time processing system. [for spacecraft

NASA Technical Reports Server (NTRS)

Lesh, F.; Lecoq, P.

1976-01-01

The paper describes software techniques developed for the Unified Data System (UDS), a distributed processor network for control and data handling onboard a planetary spacecraft. These techniques include a structured language for specifying the programs contained in each module, and a small executive program in each module which performs scheduling and implements the module task.

[Take] and the ASL Verb Complex: An Autolexical Account

ERIC Educational Resources Information Center

Metlay, Donald S.

2012-01-01

This dissertation will show how linguistic description and an Autolexical account of the bound verb root [take] shed a light on the nature of complex verb constructions in American Sign Language (ASL). This is accomplished by creating a new ASL Verb Complex Model unifying all verbs into one category of VERB. This model also accounts for a variety…

Self-Selected Reading for Enjoyment as a College Developmental Reading Approach

ERIC Educational Resources Information Center

Paulson, Eric J.

2006-01-01

The field of college developmental reading does not have a unified, agreed-upon approach to creating effective and efficient readers at the college level, as Reynolds and Werner (2003) have pointed out. For example, Keefe and Meyer (1991) assert the appropriateness of a holistic, whole-language approach for adult readers, while Bohr (2003)…

minimUML: A Minimalist Approach to UML Diagramming for Early Computer Science Education

ERIC Educational Resources Information Center

Turner, Scott A.; Perez-Quinones, Manuel A.; Edwards, Stephen H.

2005-01-01

In introductory computer science courses, the Unified Modeling Language (UML) is commonly used to teach basic object-oriented design. However, there appears to be a lack of suitable software to support this task. Many of the available programs that support UML focus on developing code and not on enhancing learning. Programs designed for…

SWOT Analysis on Educational Systems on the Two Sides of the Taiwan Strait

ERIC Educational Resources Information Center

Wang, I-Ming; Shieh, Chich-Jen

2005-01-01

It was an important, historic phenomenon for Taiwan to separate from mainland China in 1949. Mainland China and Taiwan were originally a unified country, using the same language and same alphabet characters. Now there are still similarities in many aspects; the differences are primarily governmental. Taiwan has become more Westernized and more…

Primary Education in the United Arab Republic, Its Development and Organization.

ERIC Educational Resources Information Center

Mehrez, Zainab

This document is an English-language abstract (approximately 1,500 words) of a comprehensive survey describing the growth of primary schooling in the UAR during the 19th and 20th centuries. Different types of elementary schools were unified in 1951 into one category, and in 1953, all fees were abolished and primary certificate examinations were…

Designing for Human Proportions - USMES Teacher Resource Book. Fourth Edition. Trial Edition.

ERIC Educational Resources Information Center

Bussey, Margery Koo

Designing or making changes in things students use or wear is the challenge of this Unified Sciences and Mathematics for Elementary Schools (USMES) unit. The challenge is general enough to apply to many problem-solving situations in mathematics, science, social science, and language arts at any elementary school level (grades 1-8). The Teacher…

Competition and Cooperation among Similar Representations: Toward a Unified Account of Facilitative and Inhibitory Effects of Lexical Neighbors

ERIC Educational Resources Information Center

Chen, Qi; Mirman, Daniel

2012-01-01

One of the core principles of how the mind works is the graded, parallel activation of multiple related or similar representations. Parallel activation of multiple representations has been particularly important in the development of theories and models of language processing, where coactivated representations ("neighbors") have been shown to…

Tseunis Transformative Teacher Induction Plan, T3IP: TTTIPing the Scale in Favor of Reform

ERIC Educational Resources Information Center

Tseunis, Paula

2011-01-01

Facing a teacher shortage in math, science, and language arts secondary courses, a suburban, unified, K-12 district partnered with a university in the southwest to create a program for alternatively certified teachers. This specialized program permitted candidates to teach with an intern certificate while completing university coursework leading…

Using Rule-Based Computer Programming to Unify Communication Rules Research.

ERIC Educational Resources Information Center

Sanford, David L.; Roach, J. W.

This paper proposes the use of a rule-based computer programming language as a standard for the expression of rules, arguing that the adoption of a standard would enable researchers to communicate about rules in a consistent and significant way. Focusing on the formal equivalence of artificial intelligence (AI) programming to different types of…

Supporting Collaborative Learning and Problem-Solving in a Constraint-Based CSCL Environment for UML Class Diagrams

ERIC Educational Resources Information Center

Baghaei, Nilufar; Mitrovic, Antonija; Irwin, Warwick

2007-01-01

We present COLLECT-UML, a constraint-based intelligent tutoring system (ITS) that teaches object-oriented analysis and design using Unified Modelling Language (UML). UML is easily the most popular object-oriented modelling technology in current practice. While teaching how to design UML class diagrams, COLLECT-UML also provides feedback on…

Testing of English in India: A Developing Concept

ERIC Educational Resources Information Center

Ramanathan, Hema

2008-01-01

English is the associate official language in India and serves as a unifying force in this multilingual country. The teaching of English in K-12 settings focuses on the skills of reading and writing. Listening and speaking skills are not awarded much time, if any, in most classrooms or test settings; only two Boards of Examinations mandate their…

Visual Debugging of Object-Oriented Systems With the Unified Modeling Language

DTIC Science & Technology

2004-03-01

to be “the systematic and imaginative use of the technology of interactive computer graphics and the disciplines of graphic design , typography ... Graphics volume 23 no 6, pp893-901, 1999. [SHN98] Shneiderman, B. Designing the User Interface. Strategies for Effective Human-Computer Interaction...System Design Objectives ................................................................................ 44 3.3 System Architecture

A Giant Structure

ERIC Educational Resources Information Center

Baggaley, Jon

2011-01-01

The term Tower of Babel has become synonymous with projects that have grand designs but end in confusion. So named in the Bible, the Tower is described in the Qur'an and in Judaic texts also, under different names. Its reputed purpose was to unify the nations of the earth with a common language. The Tower fell, however, and those who collaborated…

Optimal Clustering in Graphs with Weighted Edges: A Unified Approach to the Threshold Problem.

ERIC Educational Resources Information Center

Goetschel, Roy; Voxman, William

1987-01-01

Relations on a finite set V are viewed as weighted graphs. Using the language of graph theory, two methods of partitioning V are examined: selecting threshold values and applying them to a maximal weighted spanning forest, and using a parametric linear program to obtain a most adhesive partition. (Author/EM)

iPad Acceptance by English Learners in Saudi Arabia

ERIC Educational Resources Information Center

Lawrence, Barry A. M.

2016-01-01

This study used the Unified Theory of Acceptance and Use of Technology (UTAUT; Venkatesh, Morris, Davis, & Davis, 2003) model to investigate factors predicting the acceptance of iPad tablets by learners of English as a foreign language (EFL) at a technical vocational college in Saudi Arabia. An online survey was conducted on 199 male learners,…

"We Value Your Food but Not Your Language": Education Systems and Nation-Building Processes in Flanders

ERIC Educational Resources Information Center

Clycq, Noel

2017-01-01

Education systems are crucial social and cultural apparatuses. They are designed to homogenize at least to a large extent the discourses and praxis of the citizens of a nation by channelling them as much as possible through a unified educational system. However, in ethnically and culturally diversified societies, these homogenizing social…

EVALUATION OF E.S.E.A. PROGRAMS AND SERVICES FOR THE EDUCATIONALLY DISADVANTAGED, 1966-67.

ERIC Educational Resources Information Center

Sacramento City Unified School District, CA.

Along with general information on the 1966-67 Title I compensatory education programs in the Sacramento City Unified School District and on the instruments used in evaluation the effectiveness of these programs, this report contains descriptions of individual activities: (1) language arts development and reading remediation (also information on…

In Search of Optimal Cognitive Diagnostic Model(s) for ESL Grammar Test Data

ERIC Educational Resources Information Center

Yi, Yeon-Sook

2017-01-01

This study compares five cognitive diagnostic models in search of optimal one(s) for English as a Second Language grammar test data. Using a unified modeling framework that can represent specific models with proper constraints, the article first fit the full model (the log-linear cognitive diagnostic model, LCDM) and investigated which model…

ADEpedia 2.0: Integration of Normalized Adverse Drug Events (ADEs) Knowledge from the UMLS.

PubMed

Jiang, Guoqian; Liu, Hongfang; Solbrig, Harold R; Chute, Christopher G

2013-01-01

A standardized Adverse Drug Events (ADEs) knowledge base that encodes known ADE knowledge can be very useful in improving ADE detection for drug safety surveillance. In our previous study, we developed the ADEpedia that is a standardized knowledge base of ADEs based on drug product labels. The objectives of the present study are 1) to integrate normalized ADE knowledge from the Unified Medical Language System (UMLS) into the ADEpedia; and 2) to enrich the knowledge base with the drug-disorder co-occurrence data from a 51-million-document electronic medical records (EMRs) system. We extracted 266,832 drug-disorder concept pairs from the UMLS, covering 14,256 (1.69%) distinct drug concepts and 19,006 (3.53%) distinct disorder concepts. Of them, 71,626 (26.8%) concept pairs from UMLS co-occurred in the EMRs. We performed a preliminary evaluation on the utility of the UMLS ADE data. In conclusion, we have built an ADEpedia 2.0 framework that intends to integrate known ADE knowledge from disparate sources. The UMLS is a useful source for providing standardized ADE knowledge relevant to indications, contraindications and adverse effects, and complementary to the ADE data from drug product labels. The statistics from EMRs would enable the meaningful use of ADE data for drug safety surveillance.

Global information infrastructure.

PubMed

Lindberg, D A

1994-01-01

The High Performance Computing and Communications Program (HPCC) is a multiagency federal initiative under the leadership of the White House Office of Science and Technology Policy, established by the High Performance Computing Act of 1991. It has been assigned a critical role in supporting the international collaboration essential to science and to health care. Goals of the HPCC are to extend USA leadership in high performance computing and networking technologies; to improve technology transfer for economic competitiveness, education, and national security; and to provide a key part of the foundation for the National Information Infrastructure. The first component of the National Institutes of Health to participate in the HPCC, the National Library of Medicine (NLM), recently issued a solicitation for proposals to address a range of issues, from privacy to 'testbed' networks, 'virtual reality,' and more. These efforts will build upon the NLM's extensive outreach program and other initiatives, including the Unified Medical Language System (UMLS), MEDLARS, and Grateful Med. New Internet search tools are emerging, such as Gopher and 'Knowbots'. Medicine will succeed in developing future intelligent agents to assist in utilizing computer networks. Our ability to serve patients is so often restricted by lack of information and knowledge at the time and place of medical decision-making. The new technologies, properly employed, will also greatly enhance our ability to serve the patient.

[The cost of tobacco-related diseases for Brazil's Unified National Health System].

PubMed

Pinto, Márcia; Ugá, Maria Alicia Domínguez

2010-06-01

This study aimed to identify the direct costs of hospitalizations due to three smoking-related groups of diseases - cancer and circulatory and respiratory diseases - in Brazil's Unified National Health System (SUS) in 2005. For cancer, the cost of chemotherapy was also included. The study derived cost estimates using administrative databases, relative risks, smoking prevalence, and smoking-attributable fraction. According to the estimates, smoking- attributable medical expenditures for the three disease groups amounted to R$338,692,516.02 (approximately U$185 million), accounting for 27.6% of total medical expenditures. Considering all hospitalizations and chemotherapy provided by the National Health System, tobacco-related diseases accounted for 7.7% of total medical expenditures. These costs also represented 0.9% of expenditures by federally funded public health services. This study provides a conservative estimate of smoking-related costs and suggests the need for continued research on comprehensive approaches to measure the total burden of smoking for society.

A sense inventory for clinical abbreviations and acronyms created using clinical notes and medical dictionary resources

PubMed Central

Moon, Sungrim; Pakhomov, Serguei; Liu, Nathan; Ryan, James O; Melton, Genevieve B

2014-01-01

Objective To create a sense inventory of abbreviations and acronyms from clinical texts. Methods The most frequently occurring abbreviations and acronyms from 352 267 dictated clinical notes were used to create a clinical sense inventory. Senses of each abbreviation and acronym were manually annotated from 500 random instances and lexically matched with long forms within the Unified Medical Language System (UMLS V.2011AB), Another Database of Abbreviations in Medline (ADAM), and Stedman's Dictionary, Medical Abbreviations, Acronyms & Symbols, 4th edition (Stedman's). Redundant long forms were merged after they were lexically normalized using Lexical Variant Generation (LVG). Results The clinical sense inventory was found to have skewed sense distributions, practice-specific senses, and incorrect uses. Of 440 abbreviations and acronyms analyzed in this study, 949 long forms were identified in clinical notes. This set was mapped to 17 359, 5233, and 4879 long forms in UMLS, ADAM, and Stedman's, respectively. After merging long forms, only 2.3% matched across all medical resources. The UMLS, ADAM, and Stedman's covered 5.7%, 8.4%, and 11% of the merged clinical long forms, respectively. The sense inventory of clinical abbreviations and acronyms and anonymized datasets generated from this study are available for public use at http://www.bmhi.umn.edu/ihi/research/nlpie/resources/index.htm (‘Sense Inventories’, website). Conclusions Clinical sense inventories of abbreviations and acronyms created using clinical notes and medical dictionary resources demonstrate challenges with term coverage and resource integration. Further work is needed to help with standardizing abbreviations and acronyms in clinical care and biomedicine to facilitate automated processes such as text-mining and information extraction. PMID:23813539

Putting the Plain into Pain Language in English for Medical Purposes: Learner Inquiry into Patients' Online Descriptive Accounts

ERIC Educational Resources Information Center

Plastina, Anna Franca

2016-01-01

The need to teach medical students plain language for their future engagement in pain communication can no longer be underestimated. Pain education has traditionally neglected the teaching of pain language, yet patients' descriptive accounts have been acknowledged as the standard in medical care. English for Medical Purposes (EMP) can make its…

Overcoming Terminology Barrier Using Web Resources for Cross-Language Medical Information Retrieval

PubMed Central

Lu, Wen-Hsiang; Lin, Ray Shih-Jui; Chan, Yi-Che; Chen, Kuan-Hsi

2006-01-01

A number of authoritative medical websites, such as PubMed and MedlinePlus, provide consumers with the most up-to-date health information. However, non-English speakers often encounter not only language barriers (from other languages to English) but also terminology barriers (from laypersons’ terms to professional medical terms) when retrieving information from these websites. Our previous work addresses language barriers by developing a multilingual medical thesaurus, Chinese-English MeSH, while this study presents an approach to overcome terminology barriers based on Web resources. Two techniques were utilized in our approach: monolingual concept mapping using approximate string matching and crosslingual concept mapping using Web resources. The evaluation shows that our approach can significantly improve the performance on MeSH concept mapping and cross-language medical information retrieval. PMID:17238395

Translating medical documents into plain language enhances communication skills in medical students--A pilot study.

PubMed

Bittner, Anja; Jonietz, Ansgar; Bittner, Johannes; Beickert, Luise; Harendza, Sigrid

2015-09-01

To train and assess undergraduate medical students' written communication skills by exercises in translating medical reports into plain language for real patients. 27 medical students participated in a newly developed communication course. They attended a 3-h seminar including a briefing on patient-centered communication and an introduction to working with the internet platform http://washabich.de. In the following ten weeks, participants "translated" one medical report every fortnight on this platform receiving feedback by a near-peer supervisor. A pre- and post-course assignment consisted of a self-assessment questionnaire on communication skills, analysis of a medical text with respect to medical jargon, and the translation of a medical report into plain language. In the self-assessment, students rated themselves in most aspects of patient-centered communication significantly higher after attending the course. After the course they marked significantly more medical jargon terms correctly than before (p<0.001). In a written plain language translation of a medical report they scored significantly higher with respect to communicative aspects (p<0.05) and medical correctness (p<0.001). Translating medical reports into plain language under near-peer supervision is associated with improved communication skills and medical knowledge in undergraduate medical students. To include translation exercises in the undergraduate medical curriculum. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Twelve tips for effective body language for medical educators.

PubMed

Hale, Andrew J; Freed, Jason; Ricotta, Daniel; Farris, Grace; Smith, C Christopher

2017-09-01

A significant proportion of human communication is nonverbal. Although the fields of business and psychology have significant literature on effectively using body language in a variety of situations, there is limited literature on effective body language for medical educators. To provide 12 tips to highlight effective body language strategies and techniques for medical educators. The tips provided are based on our experiences and reflections as clinician-educators and the available literature. The 12 tips presented offer specific strategies to engage learners, balance learner participation, and bring energy and passion to teaching. Medical educators seeking to maximize their effectiveness would benefit from an understanding of how body language affects a learning environment and how body language techniques can be used to engage audiences, maintain attention, control challenging learners, and convey passion for a topic. Understanding and using body language effectively is an important instructional skill.

Replication in Interaction and Working Memory Research: Révész (2012) and Goo (2012)

ERIC Educational Resources Information Center

Gass, Susan; Valmori, Lorena

2015-01-01

This paper argues for the replication of two studies, both of which consider feedback and working memory. In the first part of this paper, we discuss the role of interaction-based research and working memory research in second language acquisition research. We then describe two studies that have unified these two areas in recent published articles…

A Unified Approach toward the Development of Swedish as L2: A Processability Account.

ERIC Educational Resources Information Center

Pienemann, Manfred; Hakansson, Gisela

1999-01-01

Aims to put the body of research on Swedish as a second language (SSL) into one coherent framework and to test the predictions deriving from processability theory for Swedish against this empirical database. Surveys the 14 most prominent research projects on SSL, covering wide areas of syntax and morphology in longitudinal and cross-sectional…

On the Problems of Asking for a Definition of Quality in Education

ERIC Educational Resources Information Center

Wittek, Line; Kvernbekk, Tone

2011-01-01

In this article we discuss the problems of asking for a definition of quality in education from a philosophy of language perspective. We take the concept of quality as it appears in higher education discourse as our example. More specifically we discuss the possibility of obtaining a precise, unified definition of quality by addressing the problem…

MODeLeR: A Virtual Constructivist Learning Environment and Methodology for Object-Oriented Design

ERIC Educational Resources Information Center

Coffey, John W.; Koonce, Robert

2008-01-01

This article contains a description of the organization and method of use of an active learning environment named MODeLeR, (Multimedia Object Design Learning Resource), a tool designed to facilitate the learning of concepts pertaining to object modeling with the Unified Modeling Language (UML). MODeLeR was created to provide an authentic,…

The Web and Accountability. Leaders Sharing--For Tech Leaders

ERIC Educational Resources Information Center

Deubel, Patricia

2005-01-01

A Web site can be the unifying force among schools with in a district. Many approaches work. Anyone who examines a few school district Web sites will appreciate the variation in content and design each provides. For example, Des Moines Iowa Public Schools, a district in which many in the community speak a second language, provides Web content in…

Design Of Computer Based Test Using The Unified Modeling Language

NASA Astrophysics Data System (ADS)

Tedyyana, Agus; Danuri; Lidyawati

2017-12-01

The Admission selection of Politeknik Negeri Bengkalis through interest and talent search (PMDK), Joint Selection of admission test for state Polytechnics (SB-UMPN) and Independent (UM-Polbeng) were conducted by using paper-based Test (PBT). Paper Based Test model has some weaknesses. They are wasting too much paper, the leaking of the questios to the public, and data manipulation of the test result. This reasearch was Aimed to create a Computer-based Test (CBT) models by using Unified Modeling Language (UML) the which consists of Use Case diagrams, Activity diagram and sequence diagrams. During the designing process of the application, it is important to pay attention on the process of giving the password for the test questions before they were shown through encryption and description process. RSA cryptography algorithm was used in this process. Then, the questions shown in the questions banks were randomized by using the Fisher-Yates Shuffle method. The network architecture used in Computer Based test application was a client-server network models and Local Area Network (LAN). The result of the design was the Computer Based Test application for admission to the selection of Politeknik Negeri Bengkalis.

Language barriers and professional identity: A qualitative interview study of newly employed international medical doctors and Norwegian colleagues.

PubMed

Skjeggestad, Erik; Gerwing, Jennifer; Gulbrandsen, Pål

2017-08-01

To explore how language barriers influence communication and collaboration between newly-employed international medical doctors and Norwegian health personnel. Interviews were conducted with 16 doctors who had recently started working in Norway and 12 Norwegian born health personnel who had extensive experience working with international medical doctors. Analyses were consistent with principles of systematic text condensation. All participants experienced that language barriers caused difficulties in their everyday collaboration. Furthermore, the participants' descriptions of "language barriers" encompassed a wide range of topics, including semantics (e.g., specialized professional vocabulary, system knowledge), pragmatics (e.g., using language in doctor-patient and interprofessional interactions), and specific culturally sensitive topics. All participants described that language barriers provoked uncertainty about a doctor's competence. Newly employed international medical doctors and their colleagues are concerned by ineffective communication due to language barriers. Experiences of language barriers threaten professional identity as a competent and effective doctor. Newly employed doctors who are non-native speakers could benefit from support in understanding and handling the array of barriers related to language. Copyright © 2017 Elsevier B.V. All rights reserved.

21 CFR 801.16 - Medical devices; Spanish-language version of certain required statements.

Code of Federal Regulations, 2010 CFR

2010-04-01

... 21 Food and Drugs 8 2010-04-01 2010-04-01 false Medical devices; Spanish-language version of....16 Medical devices; Spanish-language version of certain required statements. If devices restricted to prescription use only are labeled solely in Spanish for distribution in the Commonwealth of Puerto Rico where...

[A quantitative analysis of information-seeking behaviors regarding medical institutions with Spanish language support among South American Spanish-speaking migrants in Aichi Prefecture, Japan].

PubMed

Takaku, Michiko; Ichikawa, Seiichi; Kaneko, Noriyo

2015-01-01

This study aimed to explore the factors associated with information-seeking behaviors regarding medical institutions with Spanish language support among South American Spanish-speaking migrants living in Aichi Prefecture, Japan. The survey targeted South American Spanish-speaking migrants aged 18 years and older currently residing in Aichi Prefecture who had lived in Japan for at least three months and who had previously seen a doctor in Japan. The questionnaire was written in Spanish and the survey was conducted from April to July, 2010. Wilson's information behavior model was used to study information-seeking behavior regarding medical institutions with Spanish language support among 245 respondents who completed the questionnaires (response rate: 58.9%). Experience seeking medical institutions with Spanish language support in the Tokai area was set as the dependent variable and a chi-square test was conducted to examine relationships with language support needs, recognition of and access to medical institutions with Spanish language support, living situation in Japan, and Japanese language skills. Among the 245 respondents, 106 were male (43.3%) and 139 were female (56.7%). The average age was 39.6±11.2 years old and 84.5% were Peruvian. The average length of residency in Japan was 11.0±5.7 years, and 34.3% of respondents had lived in Aichi for 5-9 years. A total of 165 respondents (67.3%) had searched for medical institutions with Spanish language support, while 80 (32.7%) had not. Information-seeking behavior regarding medical institutions with Spanish language support was associated with having previously experienced a need for Spanish language support when seeing doctors in Japan, finding and attending medical institutions with Spanish language support in the Tokai area, length of residency in Japan, Japanese language skills, and the language used in daily life. Experience in requiring Spanish support when sick or injured in Japan motivated respondents to seek medical institutions with Spanish language support. Communication difficulties in Japanese, speaking Spanish in daily life, and length of residency in Japan were relevant factors in their information-seeking behaviors. Respondents were likely to obtain information from family, friends, co-workers, and Spanish media, but not from public institutions that distribute Spanish material. Finding an effective way to disseminate health-related information was a fundamental health issue for South American Spanish-speaking migrants.

NeuroNames: an ontology for the BrainInfo portal to neuroscience on the web.

PubMed

Bowden, Douglas M; Song, Evan; Kosheleva, Julia; Dubach, Mark F

2012-01-01

BrainInfo ( http://braininfo.org ) is a growing portal to neuroscientific information on the Web. It is indexed by NeuroNames, an ontology designed to compensate for ambiguities in neuroanatomical nomenclature. The 20-year old ontology continues to evolve toward the ideal of recognizing all names of neuroanatomical entities and accommodating all structural concepts about which neuroscientists communicate, including multiple concepts of entities for which neuroanatomists have yet to determine the best or 'true' conceptualization. To make the definitions of structural concepts unambiguous and terminologically consistent we created a 'default vocabulary' of unique structure names selected from existing terminology. We selected standard names by criteria designed to maximize practicality for use in verbal communication as well as computerized knowledge management. The ontology of NeuroNames accommodates synonyms and homonyms of the standard terms in many languages. It defines complex structures as models composed of primary structures, which are defined in unambiguous operational terms. NeuroNames currently relates more than 16,000 names in eight languages to some 2,500 neuroanatomical concepts. The ontology is maintained in a relational database with three core tables: Names, Concepts and Models. BrainInfo uses NeuroNames to index information by structure, to interpret users' queries and to clarify terminology on remote web pages. NeuroNames is a resource vocabulary of the NLM's Unified Medical Language System (UMLS, 2011) and the basis for the brain regions component of NIFSTD (NeuroLex, 2011). The current version has been downloaded to hundreds of laboratories for indexing data and linking to BrainInfo, which attracts some 400 visitors/day, downloading 2,000 pages/day.

Cooperation and Conflict: Faction Problem of Western Medicine Group in Modern China.

PubMed

Jo, Jeongeun

2016-08-01

After the defeat of the Opium War and the Sino-Japanese War, China's intellectuals realized necessity of modernization (Westernization) to survive in the imperial order of the survival of the fittest. In particular, it was urgent to accept Western medicine and train the doctors who learned Western medicine to change the sick and weary Chinese to be robust. Thus, new occupations of the Western Medicine Group (xiyi, doctors who learned Western medicine) emerged in China. As with the first profession, the new Western Medicine Group tried to define standards of Western medicine and medical profession; however, it was difficult in the absence of the strong central government. In addition, they formed a faction by the country where they studied or the language they learned. The factions included the Britain - America faction(yingmeipai) consisting of the Britain - America studied doctors or graduates from Protestant missions based medical schools, and the Germany - Japan faction(deripai), graduates from medical schools by Japanese or German government and the Chinese government. In 1915, they founded the National Medical Association of China mainly consisting of the Britain - America faction and the National Medical and Pharmaceutical Association of China led by the Germany - Japan faction. Initially, exchanges were active so most of eminent doctors belonged the two associations at the same time. They had a consciousness of a common occupation group as a doctor who had learned Western medicine. Thus, they actively cooperated to keep their profits against Chinese medicine and enjoy their reputation. Their cooperation emitted light particularly in translation of medical terms and unified works. Thanks to cooperation, the two associations selected medical terminologies by properly using the cases of the West and Japan. Additionally, medical schools of the Britain - America faction and the Germany - Japan faction produced various levels of the Western Medicine Group doctors for China to timely respond to the rapidly increased demand. However, a conflict over the promotion of hygiene administration and the unification, organization of medical education did not end. This conflict was deepening as the Nanjing nationalist government promoted sanitary administration. It was the Britain - America faction who seized a chance of victory. It was because figures from the Britain - America faction held important positions in the hygiene department. Of course, some related to the National Medical and Pharmaceutical Association of China were also involved in the hygiene department; however, most took charge of simple technical tasks, not having a significant impact on hygiene administration. To solve the problem of factions of the Western Medicine Group, the Britain - America faction or the Germany - Japan faction had to arrange the education system with a strong power, or to organize a new association of two factions mixed, as in Chinese faction(zhonghuapai). But an effort of the Britain - America faction to unify the systems of medical schools did not reach the Germany - Japan faction's medical schools. Additionally, from 1928, executives of the two Chinese medical associations discussed their merger; however they could not agree because of practitioners'interests involved. Substantially, a conflict between factions of the Western Medicine Group continued even until the mid-1930s. This implies that the then Chinese government had a lack of capacity of uniting and organizing the medical community.

The use of interpreters in medical settings and forensic medical examinations in Australia: the relationship between medicine and linguistics.

PubMed

Schreiber, Jason R; Odell, Morris S

2014-07-01

Medical examinations are dependent on combining communication with professional competence. In the development of a global multicultural community with the use of multiple languages, doctors have become increasingly dependent on language facilitation such as interpreting and translation. Despite professional studies, the use of language facilitation with its associated problems has not been fully explored in graduate and post-graduate medical and forensic medical training. There may still be some lack of reciprocal understanding between the medical and linguistic fields, their ethics, obligations and limits although both fields and their ethical frameworks are closer related than might be expected. This article is a discussion that aims at providing a basic understanding of guidelines as to the origin and appropriate use of language interpretation in medical and forensic medical examinations. Copyright © 2014 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.

Medical language proficiency: A discussion of interprofessional language competencies and potential for patient risk.

PubMed

Hull, Melodie

2016-02-01

In increasingly multilingual healthcare environments worldwide, ensuring accurate, effective communication is requisite. Language proficiency is essential, particularly medical language proficiency. Medical language is a universal construct in healthcare, the shared language of health and allied health professions. It is highly evolved, career-specific, technical and cultural-bound-a language for specific purposes. Its function differs significantly from that of a standard language. Proficiency requires at minimum, a common understanding of discipline-specific jargon, abstracts, euphemisms, abbreviations; acronyms. An optimal medical language situation demands a level of competency beyond the superficial wherein one can convey or interpret deeper meanings, distinguish themes, voice opinion, and follow directions precisely. It necessitates the use of clarity, and the ability to understand both lay and formal language-characteristics not essential to standard language. Proficiency influences professional discourse and can have the potential to positively or negatively affect patient outcomes. While risks have been identified when there is language discordance between care provider and patient, almost nothing has been said about this within care teams themselves. This article will do so in anticipation that care providers, regulators, employers, and researchers will acknowledge potential language-based communication barriers and work towards resolutions. This is predicated on the fact that the growing interest in language and communication in healthcare today appears to be rested in globalization and increasingly linguistically diverse patient populations. Consideration of the linguistically diverse healthcare workforce is absent. An argument will be posited that if potential risks to patient safety exist and there are potentials for disengagement from care by patients when health providers do not speak their languages then logically these language-based issues can also be true for a care team of mixed linguistic backgrounds. Members may disengage from each other or adverse events may occur as a result of misunderstanding or other language-based confounds. While the greater goal of the article is to address the issues of medical language across languages, English and medical English are used to illustrate points. Questions will be posed to stimulate thought and identify a need for research. Recommendations include collaboration between the health and language disciplines. Crown Copyright © 2015. Published by Elsevier Ltd. All rights reserved.

Lexical access in sign language: a computational model

PubMed Central

Caselli, Naomi K.; Cohen-Goldberg, Ariel M.

2014-01-01

Psycholinguistic theories have predominantly been built upon data from spoken language, which leaves open the question: How many of the conclusions truly reflect language-general principles as opposed to modality-specific ones? We take a step toward answering this question in the domain of lexical access in recognition by asking whether a single cognitive architecture might explain diverse behavioral patterns in signed and spoken language. Chen and Mirman (2012) presented a computational model of word processing that unified opposite effects of neighborhood density in speech production, perception, and written word recognition. Neighborhood density effects in sign language also vary depending on whether the neighbors share the same handshape or location. We present a spreading activation architecture that borrows the principles proposed by Chen and Mirman (2012), and show that if this architecture is elaborated to incorporate relatively minor facts about either (1) the time course of sign perception or (2) the frequency of sub-lexical units in sign languages, it produces data that match the experimental findings from sign languages. This work serves as a proof of concept that a single cognitive architecture could underlie both sign and word recognition. PMID:24860539

Association of mandated language access programming and quality of care provided by mental health agencies.

PubMed

McClellan, Sean R; Snowden, Lonnie

2015-01-01

This study examined the association between language access programming and quality of psychiatric care received by persons with limited English proficiency (LEP). In 1999, the California Department of Mental Health required county Medicaid agencies to implement a "threshold language access policy" to meet the state's Title VI obligations. This policy required Medi-Cal agencies to provide language access programming, including access to interpreters and translated written material, to speakers of languages other than English if the language was spoken by at least 3,000, or 5%, of the county's Medicaid population. Using a longitudinal study design with a nonequivalent control group, this study examined the quality of care provided to Spanish speakers with LEP and a severe mental illness before and after implementation of mandatory language access programming. Quality was measured by receipt of at least two follow-up medication visits within 90 days or three visits within 180 days of an initial medication visit over a period of 38 quarter-years. On average, only 40% of Spanish-speaking clients received at least three medication follow-up visits within 180 days. In multivariate analyses, language access programming was not associated with receipt of at least two medication follow-up visits within 90 days or at least three visits within 180 days. This study found no evidence that language access programming led to increased rates of follow-up medication visits for clients with LEP.

A unified approach to computational drug discovery.

PubMed

Tseng, Chih-Yuan; Tuszynski, Jack

2015-11-01

It has been reported that a slowdown in the development of new medical therapies is affecting clinical outcomes. The FDA has thus initiated the Critical Path Initiative project investigating better approaches. We review the current strategies in drug discovery and focus on the advantages of the maximum entropy method being introduced in this area. The maximum entropy principle is derived from statistical thermodynamics and has been demonstrated to be an inductive inference tool. We propose a unified method to drug discovery that hinges on robust information processing using entropic inductive inference. Increasingly, applications of maximum entropy in drug discovery employ this unified approach and demonstrate the usefulness of the concept in the area of pharmaceutical sciences. Copyright © 2015. Published by Elsevier Ltd.

Strong disorder real-space renormalization for the many-body-localized phase of random Majorana models

NASA Astrophysics Data System (ADS)

Monthus, Cécile

2018-03-01

For the many-body-localized phase of random Majorana models, a general strong disorder real-space renormalization procedure known as RSRG-X (Pekker et al 2014 Phys. Rev. X 4 011052) is described to produce the whole set of excited states, via the iterative construction of the local integrals of motion (LIOMs). The RG rules are then explicitly derived for arbitrary quadratic Hamiltonians (free-fermions models) and for the Kitaev chain with local interactions involving even numbers of consecutive Majorana fermions. The emphasis is put on the advantages of the Majorana language over the usual quantum spin language to formulate unified RSRG-X rules.

Using enterprise architecture to analyse how organisational structure impact motivation and learning

NASA Astrophysics Data System (ADS)

Närman, Pia; Johnson, Pontus; Gingnell, Liv

2016-06-01

When technology, environment, or strategies change, organisations need to adjust their structures accordingly. These structural changes do not always enhance the organisational performance as intended partly because organisational developers do not understand the consequences of structural changes in performance. This article presents a model-based analysis framework for quantitative analysis of the effect of organisational structure on organisation performance in terms of employee motivation and learning. The model is based on Mintzberg's work on organisational structure. The quantitative analysis is formalised using the Object Constraint Language (OCL) and the Unified Modelling Language (UML) and implemented in an enterprise architecture tool.

[Publications in the Croatian medical journals by doctoral candidates at University of Zagreb School of Medicine].

PubMed

Sember, Marijan; Petrak, Jelka

2014-01-01

By searching Medline/PubMed bibliographic database we collected data on publications of two groups of PhD candidates who earned their PhD degrees at University of Zagreb Medical School in 2000 and 2010. We identifed their publications in the Croatian medical journals and separately in the Croatian language. First group of PhD candidates (y 2000) published in the Croatian journals 34% of all published papers, with a share of 29% in the Croatian language. Another group (y 2010) published in the Croatian journals 44% of all published papers in which the number of papers published in the Croatian journals in English language grow significantly (5% vs. 31%). The number of papers published in the Croatian language decreased to 13%. Our results agreed with the global decreasing trend of the number of medical papers in non-English languages. The importance of mother-tongue in the medical education and health care may have influence on preserving scientific communication in non-English medical journals.

Unified Medical Command and Control in the Department of Defense

DTIC Science & Technology

2012-03-22

This is the Joint Task Force – Capital Medical (JTF CAPMED ) model, in which organizations, resources, and personnel are aligned under a single...This was demonstrated in the formation of the JTF- CAPMED , designed as a 3-star level command controlling military medical activities in the National...used ground vehicles, helicopters and fixed wing aircraft for strategic casualty evacuation (CASEVAC). Enroute care is standard and critical in

A Comparison and Evaluation of Real-Time Software Systems Modeling Languages

NASA Technical Reports Server (NTRS)

Evensen, Kenneth D.; Weiss, Kathryn Anne

2010-01-01

A model-driven approach to real-time software systems development enables the conceptualization of software, fostering a more thorough understanding of its often complex architecture and behavior while promoting the documentation and analysis of concerns common to real-time embedded systems such as scheduling, resource allocation, and performance. Several modeling languages have been developed to assist in the model-driven software engineering effort for real-time systems, and these languages are beginning to gain traction with practitioners throughout the aerospace industry. This paper presents a survey of several real-time software system modeling languages, namely the Architectural Analysis and Design Language (AADL), the Unified Modeling Language (UML), Systems Modeling Language (SysML), the Modeling and Analysis of Real-Time Embedded Systems (MARTE) UML profile, and the AADL for UML profile. Each language has its advantages and disadvantages, and in order to adequately describe a real-time software system's architecture, a complementary use of multiple languages is almost certainly necessary. This paper aims to explore these languages in the context of understanding the value each brings to the model-driven software engineering effort and to determine if it is feasible and practical to combine aspects of the various modeling languages to achieve more complete coverage in architectural descriptions. To this end, each language is evaluated with respect to a set of criteria such as scope, formalisms, and architectural coverage. An example is used to help illustrate the capabilities of the various languages.

25 tips for working through language and cultural barriers in your medical practice.

PubMed

Hills, Laura Sachs

2009-01-01

The language and cultural barriers facing medical patients with limited English language proficiency pose tremendous challenges and risks. Moreover, medical practices today are more likely than ever to employ individuals whose first language is not English or who do not possess native-like knowledge of American culture. Knowing how to work through the language and cultural barriers you are likely to encounter in your medical practice has become increasingly more important. This article is written by a practice management consultant who has graduate-level linguistics training and second-language teaching credentials and experience. It offers 25 practical tips to help you communicate more effectively with individuals who are outside of your native culture and language. These include easy-to-implement tips about English language pronunciation, grammar, and word choice. This article also suggests what you can do personally to bridge the cultural divide with your patients and co-workers. Finally, this article includes a case study of one Virginia practice in which cultural differences interfered with the practice's smooth operation. It explains how the practice eventually worked through and overcame this cultural obstacle.

Examine Ways to Decrease Training Duration While Maintaining Training Objective

DTIC Science & Technology

2012-09-01

ability to complete a task ( Bandura , 1977) and is related to motivation to learn , post-training self-efficacy, and training transfer (Colquitt...critical role” in “…fostering learning and controlling the social , task, and physical aspects of the discrete learning context” (Surface & Ellington...language instruction. West Conshohocken, PA: Author. Bandura , A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological

Guia didactica para la ensenanza de la lectura-escritura (Guide to the Teaching of Reading and Writing).

ERIC Educational Resources Information Center

Instituto Nacional de Pedagogia (Mexico).

This document is an English-language abstract (approximately 1,500 words) of a guide prepared by the National Pedagogic Institute for the teaching of reading and writing. The general principles in the guide will tend to unify first grade teaching methods. A brief presentation gives a description of the parts in which the guide is divided. (1)…

Exploring Perception and Use of Everyday Language and Medical Terminology among International Medical Graduates in a Medical ESP Course in Australia

ERIC Educational Resources Information Center

Dahm, Maria R.

2011-01-01

Language and communication skills are among the greatest challenges that non-native-English speaking international medical graduates (IMGs) face in English medical consultations. Especially when patients use unfamiliar everyday expressions or attach different meanings to medical terminology, the communicative burden on doctor-patient communication…

77 FR 5734 - New Medical Criteria for Evaluating Language and Speech Disorders

Federal Register 2010, 2011, 2012, 2013, 2014

2012-02-06

... Medical Criteria for Evaluating Language and Speech Disorders AGENCY: Social Security Administration... Security numbers or medical information. 1. Internet: We strongly recommend that you submit your comments... INFORMATION CONTACT: Cheryl A. Williams, Office of Medical Listings Improvement, Social Security...

Proposal for a unified selection to medical residency programs.

PubMed

Toffoli, Sônia Ferreira Lopes; Ferreira Filho, Olavo Franco; Andrade, Dalton Francisco de

2013-01-01

This paper proposes the unification of entrance exams to medical residency programs (MRP) in Brazil. Problems related to MRP and its interface with public health problems in Brazil are highlighted and how this proposal are able to help solving these problems. The proposal is to create a database to be applied in MRP unified exams. Some advantages of using the Item Response Theory (IRT) in this database are highlighted. The MRP entrance exams are developed and applied decentralized where each school is responsible for its examination. These exams quality are questionable. Reviews about items quality, validity and reliability of appliances are not common disclosed. Evaluation is important in every education system bringing on required changes and control of teaching and learning. The proposal of MRP entrance exams unification, besides offering high quality exams to institutions participants, could be as an extra source to rate medical school and cause improvements, provide studies with a database and allow a regional mobility. Copyright © 2013 Elsevier Editora Ltda. All rights reserved.

Formalizing Knowledge in Multi-Scale Agent-Based Simulations

PubMed Central

Somogyi, Endre; Sluka, James P.; Glazier, James A.

2017-01-01

Multi-scale, agent-based simulations of cellular and tissue biology are increasingly common. These simulations combine and integrate a range of components from different domains. Simulations continuously create, destroy and reorganize constituent elements causing their interactions to dynamically change. For example, the multi-cellular tissue development process coordinates molecular, cellular and tissue scale objects with biochemical, biomechanical, spatial and behavioral processes to form a dynamic network. Different domain specific languages can describe these components in isolation, but cannot describe their interactions. No current programming language is designed to represent in human readable and reusable form the domain specific knowledge contained in these components and interactions. We present a new hybrid programming language paradigm that naturally expresses the complex multi-scale objects and dynamic interactions in a unified way and allows domain knowledge to be captured, searched, formalized, extracted and reused. PMID:29338063

Standard model of knowledge representation

NASA Astrophysics Data System (ADS)

Yin, Wensheng

2016-09-01

Knowledge representation is the core of artificial intelligence research. Knowledge representation methods include predicate logic, semantic network, computer programming language, database, mathematical model, graphics language, natural language, etc. To establish the intrinsic link between various knowledge representation methods, a unified knowledge representation model is necessary. According to ontology, system theory, and control theory, a standard model of knowledge representation that reflects the change of the objective world is proposed. The model is composed of input, processing, and output. This knowledge representation method is not a contradiction to the traditional knowledge representation method. It can express knowledge in terms of multivariate and multidimensional. It can also express process knowledge, and at the same time, it has a strong ability to solve problems. In addition, the standard model of knowledge representation provides a way to solve problems of non-precision and inconsistent knowledge.

Formalizing Knowledge in Multi-Scale Agent-Based Simulations.

PubMed

Somogyi, Endre; Sluka, James P; Glazier, James A

2016-10-01

Multi-scale, agent-based simulations of cellular and tissue biology are increasingly common. These simulations combine and integrate a range of components from different domains. Simulations continuously create, destroy and reorganize constituent elements causing their interactions to dynamically change. For example, the multi-cellular tissue development process coordinates molecular, cellular and tissue scale objects with biochemical, biomechanical, spatial and behavioral processes to form a dynamic network. Different domain specific languages can describe these components in isolation, but cannot describe their interactions. No current programming language is designed to represent in human readable and reusable form the domain specific knowledge contained in these components and interactions. We present a new hybrid programming language paradigm that naturally expresses the complex multi-scale objects and dynamic interactions in a unified way and allows domain knowledge to be captured, searched, formalized, extracted and reused.

Translating medical documents improves students' communication skills in simulated physician-patient encounters.

PubMed

Bittner, Anja; Bittner, Johannes; Jonietz, Ansgar; Dybowski, Christoph; Harendza, Sigrid

2016-02-27

Patient-physician communication should be based on plain and simple language. Despite communication skill trainings in undergraduate medical curricula medical students and physicians are often still not aware of using medical jargon when communicating with patients. The aim of this study was to compare linguistic communication skills of undergraduate medical students who voluntarily translate medical documents into plain language with students who do not participate in this voluntary task. Fifty-nine undergraduate medical students participated in this study. Twenty-nine participants were actively involved in voluntarily translating medical documents for real patients into plain language on the online-platform https://washabich.de (WHI group) and 30 participants were not (non-WHI group). The assessment resembled a virtual consultation hour, where participants were connected via skype to six simulated patients (SPs). The SPs assessed participants' communication skills. All conversations were transcribed and assessed for communication skills and medical correctness by a blinded expert. All participants completed a self-assessment questionnaire on their communication skills. Across all raters, the WHI group was assessed significantly (p = .007) better than the non-WHI group regarding the use of plain language. The blinded expert assessed the WHI group significantly (p = .018) better regarding the use of stylistic devices of communication. The SPs would choose participants from the WHI group significantly (p = .041) more frequently as their personal physician. No significant differences between the two groups were observed with respect to the medical correctness of the consultations. Written translation of medical documents is associated with significantly more frequent use of plain language in simulated physician-patient encounters. Similar extracurricular exercises might be a useful tool for medical students to enhance their communication skills with respect to using plain language in physician-patient communication.

Planned NLM/AHCPR large-scale vocabulary test: using UMLS technology to determine the extent to which controlled vocabularies cover terminology needed for health care and public health.

PubMed Central

Humphreys, B L; Hole, W T; McCray, A T; Fitzmaurice, J M

1996-01-01

The National Library of Medicine (NLM) and the Agency for Health Care Policy and Research (AHCPR) are sponsoring a test to determine the extent to which a combination of existing health-related terminologies covers vocabulary needed in health information systems. The test vocabularies are the 30 that are fully or partially represented in the 1996 edition of the Unified Medical Language System (UMLS) Metathesaurus, plus three planned additions: the portions of SNOMED International not in the 1996 Metathesaurus Read Clinical Classification, and the Logical Observations Identifiers, Names, and Codes (LOINC) system. These vocabularies are available to testers through a special interface to the Internet-based UMLS Knowledge Source Server. The test will determine the ability of the test vocabularies to serve as a source of controlled vocabulary for health data systems and applications. It should provide the basis for realistic resource estimates for developing and maintaining a comprehensive "standard" health vocabulary that is based on existing terminologies. PMID:8816351

Graph-based word sense disambiguation of biomedical documents.

PubMed

Agirre, Eneko; Soroa, Aitor; Stevenson, Mark

2010-11-15

Word Sense Disambiguation (WSD), automatically identifying the meaning of ambiguous words in context, is an important stage of text processing. This article presents a graph-based approach to WSD in the biomedical domain. The method is unsupervised and does not require any labeled training data. It makes use of knowledge from the Unified Medical Language System (UMLS) Metathesaurus which is represented as a graph. A state-of-the-art algorithm, Personalized PageRank, is used to perform WSD. When evaluated on the NLM-WSD dataset, the algorithm outperforms other methods that rely on the UMLS Metathesaurus alone. The WSD system is open source licensed and available from http://ixa2.si.ehu.es/ukb/. The UMLS, MetaMap program and NLM-WSD corpus are available from the National Library of Medicine https://www.nlm.nih.gov/research/umls/, http://mmtx.nlm.nih.gov and http://wsd.nlm.nih.gov. Software to convert the NLM-WSD corpus into a format that can be used by our WSD system is available from http://www.dcs.shef.ac.uk/∼marks/biomedical_wsd under open source license.

An approach for software-driven and standard-based support of cross-enterprise tumor boards.

PubMed

Mangesius, Patrick; Fischer, Bernd; Schabetsberger, Thomas

2015-01-01

For tumor boards, the networking of different medical disciplines' expertise continues to gain importance. However, interdisciplinary tumor boards spread across several institutions are rarely supported by information technology tools today. The aim of this paper is to point out an approach for a tumor board management system prototype. For analyzing the requirements, an incremental process was used. The requirements were surveyed using Informal Conversational Interview and documented with Use Case Diagrams defined by the Unified Modeling Language (UML). Analyses of current EHR standards were conducted to evaluate technical requirements. Functional and technical requirements of clinical conference applications were evaluated and documented. In several steps, workflows were derived and application mockups were created. Although there is a vast amount of common understanding concerning how clinical conferences should be conducted and how their workflows should be structured, these are hardly standardized, neither on a functional nor on a technical level. This results in drawbacks for participants and patients. Using modern EHR technologies based on profiles such as IHE Cross Enterprise document sharing (XDS), these deficits could be overcome.

In their own words? A terminological analysis of e-mail to a cancer information service.

PubMed Central

Smith, Catherine Arnott; Stavri, P. Zoë; Chapman, Wendy Webber

2002-01-01

OBJECTIVE: To better understand the terms used by consumers to describe their health information needs and determine if this "consumer terminology"differs from those used by health care professionals. METHODS: Features and findings identified in 139 e-mail messages to the University of Pittsburgh Cancer Institute's Cancer Information and Referral Service were coded and matched against the 2001 Unified Medical Language System Metathesaurus. RESULTS:504 unique terms were identified. 185 (36%) were exact matches to concepts in the 2001 UMLS Metathesaurus (MTH). 179 (35%) were partial string matches; 119 (24%) were known synonyms for MTH concepts; and 2 (<1%) were lexical variants. Only 19,or 4% of the total terms, were not found to be present in the 2001 MT1H. CONCLUSION: 96% of the clinical findings and features mentioned in e-mail by correspondents who did not self-identify as healthcare professionals were described using terms from controlled healthcare terminologies. The notion of a paradigmatic "consumer" who uses a particular vocabulary specific to her "consumer" status may be ill-founded. PMID:12463914

BiobankUniverse: automatic matchmaking between datasets for biobank data discovery and integration.

PubMed

Pang, Chao; Kelpin, Fleur; van Enckevort, David; Eklund, Niina; Silander, Kaisa; Hendriksen, Dennis; de Haan, Mark; Jetten, Jonathan; de Boer, Tommy; Charbon, Bart; Holub, Petr; Hillege, Hans; Swertz, Morris A

2017-11-15

Biobanks are indispensable for large-scale genetic/epidemiological studies, yet it remains difficult for researchers to determine which biobanks contain data matching their research questions. To overcome this, we developed a new matching algorithm that identifies pairs of related data elements between biobanks and research variables with high precision and recall. It integrates lexical comparison, Unified Medical Language System ontology tagging and semantic query expansion. The result is BiobankUniverse, a fast matchmaking service for biobanks and researchers. Biobankers upload their data elements and researchers their desired study variables, BiobankUniverse automatically shortlists matching attributes between them. Users can quickly explore matching potential and search for biobanks/data elements matching their research. They can also curate matches and define personalized data-universes. BiobankUniverse is available at http://biobankuniverse.com or can be downloaded as part of the open source MOLGENIS suite at http://github.com/molgenis/molgenis. m.a.swertz@rug.nl. Supplementary data are available at Bioinformatics online. © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

Virtual management of radiology examinations in the virtual radiology environment using common object request broker architecture services.

PubMed

Martinez, R; Rozenblit, J; Cook, J F; Chacko, A K; Timboe, H L

1999-05-01

In the Department of Defense (DoD), US Army Medical Command is now embarking on an extremely exciting new project--creating a virtual radiology environment (VRE) for the management of radiology examinations. The business of radiology in the military is therefore being reengineered on several fronts by the VRE Project. In the VRE Project, a set of intelligent agent algorithms determine where examinations are to routed for reading bases on a knowledge base of the entire VRE. The set of algorithms, called the Meta-Manager, is hierarchical and uses object-based communications between medical treatment facilities (MTFs) and medical centers that have digital imaging network picture archiving and communications systems (DIN-PACS) networks. The communications is based on use of common object request broker architecture (CORBA) objects and services to send patient demographics and examination images from DIN-PACS networks in the MTFs to the DIN-PACS networks at the medical centers for diagnosis. The Meta-Manager is also responsible for updating the diagnosis at the originating MTF. CORBA services are used to perform secure message communications between DIN-PACS nodes in the VRE network. The Meta-Manager has a fail-safe architecture that allows the master Meta-Manager function to float to regional Meta-Manager sites in case of server failure. A prototype of the CORBA-based Meta-Manager is being developed by the University of Arizona's Computer Engineering Research Laboratory using the unified modeling language (UML) as a design tool. The prototype will implement the main functions described in the Meta-Manager design specification. The results of this project are expected to reengineer the process of radiology in the military and have extensions to commercial radiology environments.

Retooling Institutional Support Infrastructure for Clinical Research

PubMed Central

Snyder, Denise C.; Brouwer, Rebecca N.; Ennis, Cory L.; Spangler, Lindsey L.; Ainsworth, Terry L.; Budinger, Susan; Mullen, Catherine; Hawley, Jeffrey; Uhlenbrauck, Gina; Stacy, Mark

2016-01-01

Clinical research activities at academic medical centers are challenging to oversee. Without effective research administration, a continually evolving set of regulatory and institutional requirements can detract investigator and study team attention away from a focus on scientific gain, study conduct, and patient safety. However, even when the need for research administration is recognized, there can be struggles over what form it should take. Central research administration may be viewed negatively, with individual groups preferring to maintain autonomy over processes. Conversely, a proliferation of individualized approaches across an institution can create inefficiencies or invite risk. This article describes experiences establishing a unified research support office at the Duke University School of Medicine based on a framework of customer support. The Duke Office of Clinical Research was formed in 2012 with a vision that research administration at academic medical centers should help clinical investigators navigate the complex research environment and operationalize research ideas. The office provides an array of services that have received high satisfaction ratings. The authors describe the ongoing culture change necessary for success of the unified research support office. Lessons learned from implementation of the Duke Office of Clinical Research may serve as a model for other institutions undergoing a transition to unified research support. PMID:27125563

Integration of Computers into the Medical School Curriculum: An Example from a Microbiology Course.

ERIC Educational Resources Information Center

Platt, Mark W.; And Others

1994-01-01

While the use of computers has become widespread in recent years, a unified, integrated approach to their use in the medical school curriculum has not yet emerged. Describes a program at the University of New Mexico that will phase-in computerization of its curriculum beginning in the fall of 1993. (LZ)

Building a profile of subjective well-being for social media users.

PubMed

Chen, Lushi; Gong, Tao; Kosinski, Michal; Stillwell, David; Davidson, Robert L

2017-01-01

Subjective well-being includes 'affect' and 'satisfaction with life' (SWL). This study proposes a unified approach to construct a profile of subjective well-being based on social media language in Facebook status updates. We apply sentiment analysis to generate users' affect scores, and train a random forest model to predict SWL using affect scores and other language features of the status updates. Results show that: the computer-selected features resemble the key predictors of SWL as identified in early studies; the machine-predicted SWL is moderately correlated with the self-reported SWL (r = 0.36, p < 0.01), indicating that language-based assessment can constitute valid SWL measures; the machine-assessed affect scores resemble those reported in a previous experimental study; and the machine-predicted subjective well-being profile can also reflect other psychological traits like depression (r = 0.24, p < 0.01). This study provides important insights for psychological prediction using multiple, machine-assessed components and longitudinal or dense psychological assessment using social media language.

Building a profile of subjective well-being for social media users

PubMed Central

Kosinski, Michal; Stillwell, David; Davidson, Robert L.

2017-01-01

Subjective well-being includes ‘affect’ and ‘satisfaction with life’ (SWL). This study proposes a unified approach to construct a profile of subjective well-being based on social media language in Facebook status updates. We apply sentiment analysis to generate users’ affect scores, and train a random forest model to predict SWL using affect scores and other language features of the status updates. Results show that: the computer-selected features resemble the key predictors of SWL as identified in early studies; the machine-predicted SWL is moderately correlated with the self-reported SWL (r = 0.36, p < 0.01), indicating that language-based assessment can constitute valid SWL measures; the machine-assessed affect scores resemble those reported in a previous experimental study; and the machine-predicted subjective well-being profile can also reflect other psychological traits like depression (r = 0.24, p < 0.01). This study provides important insights for psychological prediction using multiple, machine-assessed components and longitudinal or dense psychological assessment using social media language. PMID:29135991

Use cases and DEMO: aligning functional features of ICT-infrastructure to business processes.

PubMed

Maij, E; Toussaint, P J; Kalshoven, M; Poerschke, M; Zwetsloot-Schonk, J H M

2002-11-12

The proper alignment of functional features of the ICT-infrastructure to business processes is a major challenge in health care organisations. This alignment takes into account that the organisational structure not only shapes the ICT-infrastructure, but that the inverse also holds. To solve the alignment problem, relevant features of the ICT-infrastructure should be derived from the organisational structure and the influence of this envisaged ICT to the work practices should be pointed out. The objective of our study was to develop a method to solve this alignment problem. In a previous study we demonstrated the appropriateness of the business process modelling methodology Dynamic Essential Modelling of Organizations (DEMO). A proven and widely used modelling language for expressing functional features is Unified Modelling Language (UML). In the context of a specific case study at the University Medical Centre Utrecht in the Netherlands we investigated if the combined use of DEMO and UML could solve the alignment problem. The study demonstrated that the DEMO models were suited as a starting point in deriving system functionality by using the use case concept of UML. Further, the case study demonstrated that in using this approach for the alignment problem, insight is gained into the mutual influence of ICT-infrastructure and organisation structure: (a) specification of independent, re-usable components-as a set of related functionalities-is realised, and (b) a helpful representation of the current and future work practice is provided for in relation to the envisaged ICT support.

Alignment of the UMLS semantic network with BioTop: methodology and assessment.

PubMed

Schulz, Stefan; Beisswanger, Elena; van den Hoek, László; Bodenreider, Olivier; van Mulligen, Erik M

2009-06-15

For many years, the Unified Medical Language System (UMLS) semantic network (SN) has been used as an upper-level semantic framework for the categorization of terms from terminological resources in biomedicine. BioTop has recently been developed as an upper-level ontology for the biomedical domain. In contrast to the SN, it is founded upon strict ontological principles, using OWL DL as a formal representation language, which has become standard in the semantic Web. In order to make logic-based reasoning available for the resources annotated or categorized with the SN, a mapping ontology was developed aligning the SN with BioTop. The theoretical foundations and the practical realization of the alignment are being described, with a focus on the design decisions taken, the problems encountered and the adaptations of BioTop that became necessary. For evaluation purposes, UMLS concept pairs obtained from MEDLINE abstracts by a named entity recognition system were tested for possible semantic relationships. Furthermore, all semantic-type combinations that occur in the UMLS Metathesaurus were checked for satisfiability. The effort-intensive alignment process required major design changes and enhancements of BioTop and brought up several design errors that could be fixed. A comparison between a human curator and the ontology yielded only a low agreement. Ontology reasoning was also used to successfully identify 133 inconsistent semantic-type combinations. BioTop, the OWL DL representation of the UMLS SN, and the mapping ontology are available at http://www.purl.org/biotop/.

eRAM: encyclopedia of rare disease annotations for precision medicine.

PubMed

Jia, Jinmeng; An, Zhongxin; Ming, Yue; Guo, Yongli; Li, Wei; Liang, Yunxiang; Guo, Dongming; Li, Xin; Tai, Jun; Chen, Geng; Jin, Yaqiong; Liu, Zhimei; Ni, Xin; Shi, Tieliu

2018-01-04

Rare diseases affect over a hundred million people worldwide, most of these patients are not accurately diagnosed and effectively treated. The limited knowledge of rare diseases forms the biggest obstacle for improving their treatment. Detailed clinical phenotyping is considered as a keystone of deciphering genes and realizing the precision medicine for rare diseases. Here, we preset a standardized system for various types of rare diseases, called encyclopedia of Rare disease Annotations for Precision Medicine (eRAM). eRAM was built by text-mining nearly 10 million scientific publications and electronic medical records, and integrating various data in existing recognized databases (such as Unified Medical Language System (UMLS), Human Phenotype Ontology, Orphanet, OMIM, GWAS). eRAM systematically incorporates currently available data on clinical manifestations and molecular mechanisms of rare diseases and uncovers many novel associations among diseases. eRAM provides enriched annotations for 15 942 rare diseases, yielding 6147 human disease related phenotype terms, 31 661 mammalians phenotype terms, 10,202 symptoms from UMLS, 18 815 genes and 92 580 genotypes. eRAM can not only provide information about rare disease mechanism but also facilitate clinicians to make accurate diagnostic and therapeutic decisions towards rare diseases. eRAM can be freely accessed at http://www.unimd.org/eram/. © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

Hypermedicalization in White Noise.

PubMed

Benson, Josef

2015-09-01

The Nazis hijacked Germany's medical establishment and appropriated medical language to hegemonize their ideology. In White Noise, shifting medical information stifles the public into docility. In Nazi Germany the primacy of language and medical authority magnified the importance of academic doctors. The muddling of identities caused complex insecurities and the need for psychological doubles. In White Noise, Professor Gladney is driven by professional insecurities to enact a double in Murray. Through the manipulation of language and medical overreach the U.S., exemplified in the novel White Noise, has become a hypermedicalized society where the spirit of the Hippocratic Oath has eroded.

["Linguistitis" of medical terminology (I)].

PubMed

Høy, A

1996-12-02

A 1994/95 survey on language and terminology in emergency wards revealed a number of contradictory tendencies within today's Danish medical terminology. On the one hand, an increasing number of medical terms are nationalized. This tendency is reflected not only in intercollegial language, but also in the Danish version of the ICD-10 where a number of official diagnostic terms are casually translated into Danish or undergo various degrees of nationalization to appear as hybrids. On the other hand, knowledge of English becomes increasingly important: good passive command of the language is a must for medical students, and doctors committed to research need a good active command as well. This situation raises a number of questions: is there a need for setting up criteria for the terminology used in Danish medical literature and encyclopedia in order to avoid confusion, and for defining a language policy for future medical doctors?

‘Miscarriage or abortion?’ Understanding the medical language of pregnancy loss in Britain; a historical perspective

PubMed Central

Moscrop, Andrew

2013-01-01

Clinical language applied to early pregnancy loss changed in late twentieth century Britain when doctors consciously began using the term ‘miscarriage’ instead of ‘abortion’ to refer to this subject. Medical professionals at the time and since have claimed this change as an intuitive empathic response to women's experiences. However, a reading of medical journals and textbooks from the era reveals how the change in clinical language reflected legal, technological, professional and social developments. The shift in language is better understood in the context of these historical developments, rather than as the consequence of more empathic medical care for women who experience miscarriage. PMID:23429567

The Latin American laws of correct nutrition: Review, unified interpretation, model and tools.

PubMed

Chávez-Bosquez, Oscar; Pozos-Parra, Pilar

2016-03-01

The "Laws of Correct Nutrition": the Law of Quantity, the Law of Quality, the Law of Harmony and the Law of Adequacy, provide the basis of a proper diet, i.e. one that provides the body with the energy required and nutrients it needs for daily activities and maintenance of vital functions. For several decades, these Laws have been the basis of nourishing menus designed in Latin America; however, they are stated in a colloquial language, which leads to differences in interpretation and ambiguities for non-experts and even experts in the field. We present a review of the different interpretations of the Laws and describe a consensus. We represent concepts related to nourishing menu design employing the Unified Modeling Language (UML). We formalize the Laws using the Object Constraint Language (OCL). We design a nourishing menu for a particular user through enforcement of the Laws. We designed a domain model with the essential elements to plan a nourishing menu and we expressed the necessary constraints to make the model׳s behavior conform to the four Laws. We made a formal verification and validation of the model via USE (UML-based Specification Environment) and we developed a software prototype for menu design under the Laws. Diet planning is considered as an art but consideration should be given to the need for a set of strict rules to design adequate menus. Thus, we model the "Laws of Nutrition" as a formal basis and standard framework for this task. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Medical Signbank as a Model for Sign Language Planning? A Review of Community Engagement

ERIC Educational Resources Information Center

Napier, Jemina; Major, George; Ferrara, Lindsay; Johnston, Trevor

2015-01-01

This paper reviews a sign language planning project conducted in Australia with deaf Auslan users. The Medical Signbank project utilised a cooperative language planning process to engage with the Deaf community and sign language interpreters to develop an online interactive resource of health-related signs, in order to address a gap in the health…

Formal verification of medical monitoring software using Z language: a representative sample.

PubMed

Babamir, Seyed Morteza; Borhani, Mehdi

2012-08-01

Medical monitoring systems are useful aids assisting physicians in keeping patients under constant surveillance; however, taking sound decision by the systems is a physician concern. As a result, verification of the systems behavior in monitoring patients is a matter of significant. The patient monitoring is undertaken by software in modern medical systems; so, software verification of modern medial systems have been noticed. Such verification can be achieved by the Formal Languages having mathematical foundations. Among others, the Z language is a suitable formal language has been used to formal verification of systems. This study aims to present a constructive method to verify a representative sample of a medical system by which the system is visually specified and formally verified against patient constraints stated in Z Language. Exploiting our past experience in formal modeling Continuous Infusion Insulin Pump (CIIP), we think of the CIIP system as a representative sample of medical systems in proposing our present study. The system is responsible for monitoring diabetic's blood sugar.

Cross-Platform Development Techniques for Mobile Devices

DTIC Science & Technology

2013-09-01

many other platforms including Windows, Blackberry , and Symbian. Each of these platforms has their own distinct architecture and programming language...sales of iPhones and the increasing use of Android-based devices have forced less successful competitors such as Microsoft, Blackberry , and Symbian... Blackberry and Windows Phone are planned [12] in this tool’s attempt to reuse code with a unified JavaScript API while at the same time supporting unique

Si Hablas Espanol Eres Mojado (If You Speak Spanish You are a Wetback): Spanish as an Identity Marker in the Lives of Mexicano Children.

ERIC Educational Resources Information Center

Benjamin, Rebecca

1997-01-01

Discusses the function of Spanish in the school lives of Mexican American children, documenting the discussion through the experiences of five fifth-grade friends. Spanish serves to unify them, but it also serves to keep others out of the friendship group. Educators must recognize that language minority children have special needs. (SLD)

On the Psychology of Truth-Gaps

NASA Astrophysics Data System (ADS)

Alxatib, Sam; Pelletier, Jeff

Bonini et al. [2] present psychological data that they take to support an 'epistemic' account of how vague predicates are used in natural language. We argue that their data more strongly supports a 'gap' theory of vagueness, and that their arguments against gap theories are flawed. Additionally, we present more experimental evidence that supports gap theories, and argue for a semantic/pragmatic alternative that unifies super- and subvaluationary approaches to vagueness.

8 CFR 1212.15 - Certificates for foreign health care workers.

Code of Federal Regulations, 2010 CFR

2010-01-01

.... (3) Physical therapists. (4) Speech-Language Pathologists and Audiologists. (5) Medical Technologists... pathologist and audiologist, medical technologist (clinical laboratory scientist), physician assistant, and... Score 77; Oral Interview: 3+. (iv) Speech-language pathologists and Audiologists, medical technologists...

8 CFR 1212.15 - Certificates for foreign health care workers.

Code of Federal Regulations, 2012 CFR

2012-01-01

.... (3) Physical therapists. (4) Speech-Language Pathologists and Audiologists. (5) Medical Technologists... pathologist and audiologist, medical technologist (clinical laboratory scientist), physician assistant, and... Score 77; Oral Interview: 3+. (iv) Speech-language pathologists and Audiologists, medical technologists...

8 CFR 1212.15 - Certificates for foreign health care workers.

Code of Federal Regulations, 2011 CFR

2011-01-01

.... (3) Physical therapists. (4) Speech-Language Pathologists and Audiologists. (5) Medical Technologists... pathologist and audiologist, medical technologist (clinical laboratory scientist), physician assistant, and... Score 77; Oral Interview: 3+. (iv) Speech-language pathologists and Audiologists, medical technologists...

8 CFR 1212.15 - Certificates for foreign health care workers.

Code of Federal Regulations, 2013 CFR

2013-01-01

.... (3) Physical therapists. (4) Speech-Language Pathologists and Audiologists. (5) Medical Technologists... pathologist and audiologist, medical technologist (clinical laboratory scientist), physician assistant, and... Score 77; Oral Interview: 3+. (iv) Speech-language pathologists and Audiologists, medical technologists...

8 CFR 1212.15 - Certificates for foreign health care workers.

Code of Federal Regulations, 2014 CFR

2014-01-01

.... (3) Physical therapists. (4) Speech-Language Pathologists and Audiologists. (5) Medical Technologists... pathologist and audiologist, medical technologist (clinical laboratory scientist), physician assistant, and... Score 77; Oral Interview: 3+. (iv) Speech-language pathologists and Audiologists, medical technologists...

Representing Medical Knowledge in a Terminological Language is Difficult1

PubMed Central

Haimowits, Ira J.; Patil, Ramesh S.; Szolovits, Peter

1988-01-01

We report on an experiment to use a modern knowledge representation language, NIKL, to express the knowledge of a sophisticated medical reasoning program, ABEL. We are attempting to put the development of more capable medical programs on firmer representational grounds by moving from the ad hoc representations typical of current programs toward more principled representation languages now in use or under construction. Our experience with the project reported here suggests caution, however. Attempts at cleanliness and efficiency in the design of representation languages lead to a poverty of expressiveness that makes it difficult if not impossible to say in such languages what needs to be stated to support the application.

The medical educator, the discourse analyst, and the phonetician: a collaborative feedback methodology for clinical communication.

PubMed

Woodward-Kron, Robyn; Stevens, Mary; Flynn, Eleanor

2011-05-01

Frameworks for clinical communication assist educators in making explicit the principles of good communication and providing feedback to medical trainees. However, existing frameworks rarely take into account the roles of culture and language in communication, which can be important for international medical graduates (IMGs) whose first language is not English. This article describes the collaboration by a medical educator, a discourse analyst, and a phonetician to develop a communication and language feedback methodology to assist IMG trainees at a Victorian hospital in Australia with developing their doctor-patient communication skills. The Communication and Language Feedback (CaLF) methodology incorporates a written tool and video recording of role-plays of doctor-patient interactions in a classroom setting or in an objective structured clinical examination (OSCE) practice session with a simulated patient. IMG trainees receive verbal feedback from their hospital-based medical clinical educator, the simulated patient, and linguists. The CaLF tool was informed by a model of language in context, observation of IMG communication training, and process evaluation by IMG participants during January to August 2009. The authors provided participants with a feedback package containing their practice video (which included verbal feedback) and the completed CaLF tool.The CaLF methodology provides a tool for medical educators and language practitioners to work collaboratively with IMGs to enhance communication and language skills. The ongoing interdisciplinary collaboration also provides much-needed applied research opportunities in intercultural health communication, an area the authors believe cannot be adequately addressed from the perspective of one discipline alone. Copyright © by the Association of American medical Colleges.

From spoken narratives to domain knowledge: mining linguistic data for medical image understanding.

PubMed

Guo, Xuan; Yu, Qi; Alm, Cecilia Ovesdotter; Calvelli, Cara; Pelz, Jeff B; Shi, Pengcheng; Haake, Anne R

2014-10-01

Extracting useful visual clues from medical images allowing accurate diagnoses requires physicians' domain knowledge acquired through years of systematic study and clinical training. This is especially true in the dermatology domain, a medical specialty that requires physicians to have image inspection experience. Automating or at least aiding such efforts requires understanding physicians' reasoning processes and their use of domain knowledge. Mining physicians' references to medical concepts in narratives during image-based diagnosis of a disease is an interesting research topic that can help reveal experts' reasoning processes. It can also be a useful resource to assist with design of information technologies for image use and for image case-based medical education systems. We collected data for analyzing physicians' diagnostic reasoning processes by conducting an experiment that recorded their spoken descriptions during inspection of dermatology images. In this paper we focus on the benefit of physicians' spoken descriptions and provide a general workflow for mining medical domain knowledge based on linguistic data from these narratives. The challenge of a medical image case can influence the accuracy of the diagnosis as well as how physicians pursue the diagnostic process. Accordingly, we define two lexical metrics for physicians' narratives--lexical consensus score and top N relatedness score--and evaluate their usefulness by assessing the diagnostic challenge levels of corresponding medical images. We also report on clustering medical images based on anchor concepts obtained from physicians' medical term usage. These analyses are based on physicians' spoken narratives that have been preprocessed by incorporating the Unified Medical Language System for detecting medical concepts. The image rankings based on lexical consensus score and on top 1 relatedness score are well correlated with those based on challenge levels (Spearman correlation>0.5 and Kendall correlation>0.4). Clustering results are largely improved based on our anchor concept method (accuracy>70% and mutual information>80%). Physicians' spoken narratives are valuable for the purpose of mining the domain knowledge that physicians use in medical image inspections. We also show that the semantic metrics introduced in the paper can be successfully applied to medical image understanding and allow discussion of additional uses of these metrics. Copyright © 2014 Elsevier B.V. All rights reserved.

Evaluation of the Effectiveness of an Advance Organizer in a Medical Microbiology Course.

ERIC Educational Resources Information Center

Slock, James A.; And Others

1980-01-01

An advance organizer is a set of conceptual statements about the unifying ideas of a topic in terms already familiar to the learner. A study is reported that sought to determine whether two presentations of an advance organizer for a unit on pathogenic bacteria would result in increasing medical students' knowledge and ability to solve problems in…

[Tempora mutantur... et nos? The future of the Hungarian anatomy teaching in reflection of the German trends].

PubMed

Weiczner, Roland

2015-10-04

The traditional four-semester anatomy is a subject to change: next to the external pressure, there is an intrinsic need to shift the emphasis. The mapping of the strengths, weaknesses and threats of the Hungarian anatomy teaching helps to formulate the directions of possible development. Current trends in the German medical education should be carefully followed. Nowadays, nearly 25% of the medical students in Germany are studying according to the new, integrated "Modellstudiengang", i.e. all the conventional subjects are reorganised into organ system thematic blocks. The unified German written final exam system provides an objective assessment parameter: to rank the 36 German medical schools according to the results of the anatomy exams. The homepage-published data, the number of semesters or teaching hours, or the thematic concept of the subject alone cannot explain the rankings of the medical schools according to the anatomy exam results. The greatest challenges of the Hungarian anatomy teaching today are: the development of an outcome-oriented, unified, practical system of requirements, the redefinition of the subject, the more effective interaction with the clinical colleagues, solving the problems of faculty recruitment and establishing the vertical integration of anatomy.

Use of Observational Learning Enhanced Instruction in Low Language Competency Audiences

ERIC Educational Resources Information Center

Zain-ul-abdin, Khawaja

2013-01-01

This dissertation investigates the use of observational learning enhanced health instruction to mitigate problems of low language competency among learners. Low language competency can cause improper comprehension of medical instruction and health education, resulting in misdiagnosis, reduced recall, under reporting of medical conditions and…

Preface to FP-UML 2009

NASA Astrophysics Data System (ADS)

Trujillo, Juan; Kim, Dae-Kyoo

The Unified Modeling Language (UML) has been widely accepted as the standard object-oriented (OO) modeling language for modeling various aspects of software and information systems. The UML is an extensible language, in the sense that it provides mechanisms to introduce new elements for specific domains if necessary, such as web applications, database applications, business modeling, software development processes, data warehouses. Furthermore, the latest version of UML 2.0 got even bigger and more complicated with more diagrams for some good reasons. Although UML provides different diagrams for modeling different aspects of a software system, not all of them need to be applied in most cases. Therefore, heuristics, design guidelines, lessons learned from experiences are extremely important for the effective use of UML 2.0 and to avoid unnecessary complication. Also, approaches are needed to better manage UML 2.0 and its extensions so they do not become too complex too manage in the end.

Data-Flow Based Model Analysis

NASA Technical Reports Server (NTRS)

Saad, Christian; Bauer, Bernhard

2010-01-01

The concept of (meta) modeling combines an intuitive way of formalizing the structure of an application domain with a high expressiveness that makes it suitable for a wide variety of use cases and has therefore become an integral part of many areas in computer science. While the definition of modeling languages through the use of meta models, e.g. in Unified Modeling Language (UML), is a well-understood process, their validation and the extraction of behavioral information is still a challenge. In this paper we present a novel approach for dynamic model analysis along with several fields of application. Examining the propagation of information along the edges and nodes of the model graph allows to extend and simplify the definition of semantic constraints in comparison to the capabilities offered by e.g. the Object Constraint Language. Performing a flow-based analysis also enables the simulation of dynamic behavior, thus providing an "abstract interpretation"-like analysis method for the modeling domain.

Relating UMLS semantic types and task-based ontology to computer-interpretable clinical practice guidelines.

PubMed

Kumar, Anand; Ciccarese, Paolo; Quaglini, Silvana; Stefanelli, Mario; Caffi, Ezio; Boiocchi, Lorenzo

2003-01-01

Medical knowledge in clinical practice guideline (GL) texts is the source of task-based computer-interpretable clinical guideline models (CIGMs). We have used Unified Medical Language System (UMLS) semantic types (STs) to understand the percentage of GL text which belongs to a particular ST. We also use UMLS semantic network together with the CIGM-specific ontology to derive a semantic meaning behind the GL text. In order to achieve this objective, we took nine GL texts from the National Guideline Clearinghouse (NGC) and marked up the text dealing with a particular ST. The STs we took into consideration were restricted taking into account the requirements of a task-based CIGM. We used DARPA Agent Markup Language and Ontology Inference Layer (DAML + OIL) to create the UMLS and CIGM specific semantic network. For the latter, as a bench test, we used the 1999 WHO-International Society of Hypertension Guidelines for the Management of Hypertension. We took into consideration the UMLS STs closest to the clinical tasks. The percentage of the GL text dealing with the ST "Health Care Activity" and subtypes "Laboratory Procedure", "Diagnostic Procedure" and "Therapeutic or Preventive Procedure" were measured. The parts of text belonging to other STs or comments were separated. A mapping of terms belonging to other STs was done to the STs under "HCA" for representation in DAML + OIL. As a result, we found that the three STs under "HCA" were the predominant STs present in the GL text. In cases where the terms of related STs existed, they were mapped into one of the three STs. The DAML + OIL representation was able to describe the hierarchy in task-based CIGMs. To conclude, we understood that the three STs could be used to represent the semantic network of the task-bases CIGMs. We identified some mapping operators which could be used for the mapping of other STs into these.

Exploring supervised and unsupervised methods to detect topics in biomedical text

PubMed Central

Lee, Minsuk; Wang, Weiqing; Yu, Hong

2006-01-01

Background Topic detection is a task that automatically identifies topics (e.g., "biochemistry" and "protein structure") in scientific articles based on information content. Topic detection will benefit many other natural language processing tasks including information retrieval, text summarization and question answering; and is a necessary step towards the building of an information system that provides an efficient way for biologists to seek information from an ocean of literature. Results We have explored the methods of Topic Spotting, a task of text categorization that applies the supervised machine-learning technique naïve Bayes to assign automatically a document into one or more predefined topics; and Topic Clustering, which apply unsupervised hierarchical clustering algorithms to aggregate documents into clusters such that each cluster represents a topic. We have applied our methods to detect topics of more than fifteen thousand of articles that represent over sixteen thousand entries in the Online Mendelian Inheritance in Man (OMIM) database. We have explored bag of words as the features. Additionally, we have explored semantic features; namely, the Medical Subject Headings (MeSH) that are assigned to the MEDLINE records, and the Unified Medical Language System (UMLS) semantic types that correspond to the MeSH terms, in addition to bag of words, to facilitate the tasks of topic detection. Our results indicate that incorporating the MeSH terms and the UMLS semantic types as additional features enhances the performance of topic detection and the naïve Bayes has the highest accuracy, 66.4%, for predicting the topic of an OMIM article as one of the total twenty-five topics. Conclusion Our results indicate that the supervised topic spotting methods outperformed the unsupervised topic clustering; on the other hand, the unsupervised topic clustering methods have the advantages of being robust and applicable in real world settings. PMID:16539745

Towards linking patients and clinical information: detecting UMLS concepts in e-mail.

PubMed

Brennan, Patricia Flatley; Aronson, Alan R

2003-01-01

The purpose of this project is to explore the feasibility of detecting terms within the electronic messages of patients that could be used to effectively search electronic knowledge resources and bring health information resources into the hands of patients. Our team is exploring the application of the natural language processing (NLP) tools built within the Lister Hill Center at the National Library of Medicine (NLM) to the challenge of detecting relevant concepts from the Unified Medical Language System (UMLS) within the free text of lay people's electronic messages (e-mail). We obtained a sample of electronic messages sent by patients participating in a randomized field evaluation of an internet-based home care support service to the project nurse, and we subjected elements of these messages to a series of analyses using several vocabularies from the UMLS Metathesaurus and the selected NLP tools. The nursing vocabularies provide an excellent starting point for this exercise because their domain encompasses patient's responses to health challenges. In successive runs we augmented six nursing vocabularies (NANDA Nursing Diagnosis, Nursing Interventions Classification, Nursing Outcomes Classification, Home Health Classification, Omaha System, and the Patient Care Data Set) with selected sets of clinical terminologies (International Classification of Primary Care; International Classification of Primary Care- American English; Micromedex DRUGDEX; National Drug Data File; Thesaurus of Psychological Terms; WHO Adverse Drug Reaction Terminology) and then additionally with either Medical Subject Heading (MeSH) or SNOMED International terms. The best performance was obtained when the nursing vocabularies were complemented with selected clinical terminologies. These findings have implications not only for facilitating lay people's access to electronic knowledge resources but may also be of assistance in developing new tools to aid in linking free text (e.g., clinical notes) to lexically complex knowledge resources such as those emerging from the Human Genome Project.

Tumor taxonomy for the developmental lineage classification of neoplasms

PubMed Central

Berman, Jules J

2004-01-01

Background The new "Developmental lineage classification of neoplasms" was described in a prior publication. The classification is simple (the entire hierarchy is described with just 39 classifiers), comprehensive (providing a place for every tumor of man), and consistent with recent attempts to characterize tumors by cytogenetic and molecular features. A taxonomy is a list of the instances that populate a classification. The taxonomy of neoplasia attempts to list every known term for every known tumor of man. Methods The taxonomy provides each concept with a unique code and groups synonymous terms under the same concept. A Perl script validated successive drafts of the taxonomy ensuring that: 1) each term occurs only once in the taxonomy; 2) each term occurs in only one tumor class; 3) each concept code occurs in one and only one hierarchical position in the classification; and 4) the file containing the classification and taxonomy is a well-formed XML (eXtensible Markup Language) document. Results The taxonomy currently contains 122,632 different terms encompassing 5,376 neoplasm concepts. Each concept has, on average, 23 synonyms. The taxonomy populates "The developmental lineage classification of neoplasms," and is available as an XML file, currently 9+ Megabytes in length. A representation of the classification/taxonomy listing each term followed by its code, followed by its full ancestry, is available as a flat-file, 19+ Megabytes in length. The taxonomy is the largest nomenclature of neoplasms, with more than twice the number of neoplasm names found in other medical nomenclatures, including the 2004 version of the Unified Medical Language System, the Systematized Nomenclature of Medicine Clinical Terminology, the National Cancer Institute's Thesaurus, and the International Classification of Diseases Oncolology version. Conclusions This manuscript describes a comprehensive taxonomy of neoplasia that collects synonymous terms under a unique code number and assigns each tumor to a single class within the tumor hierarchy. The entire classification and taxonomy are available as open access files (in XML and flat-file formats) with this article. PMID:15571625

English for Medical Purposes for Saudi Medical and Health Professionals

ERIC Educational Resources Information Center

Alqurashi, Fahad

2016-01-01

This study explored the English language needs of 156 Saudi fellowship doctors and students of medical majors who are enrolled at medical and training programs in Australian hospitals and universities. Data were collected via a questionnaire adopted from a previous study. Participants' responses showed the most frequently used language subskills…

MorphoSaurus--design and evaluation of an interlingua-based, cross-language document retrieval engine for the medical domain.

PubMed

Markó, K; Schulz, S; Hahn, U

2005-01-01

We propose an interlingua-based indexing approach to account for the particular challenges that arise in the design and implementation of cross-language document retrieval systems for the medical domain. Documents, as well as queries, are mapped to a language-independent conceptual layer on which retrieval operations are performed. We contrast this approach with the direct translation of German queries to English ones which, subsequently, are matched against English documents. We evaluate both approaches, interlingua-based and direct translation, on a large medical document collection, the OHSUMED corpus. A substantial benefit for interlingua-based document retrieval using German queries on English texts is found, which amounts to 93% of the (monolingual) English baseline. Most state-of-the-art cross-language information retrieval systems translate user queries to the language(s) of the target documents. In contra-distinction to this approach, translating both documents and user queries into a language-independent, concept-like representation format is more beneficial to enhance cross-language retrieval performance.

Computer Programming Languages for Health Care

PubMed Central

O'Neill, Joseph T.

1979-01-01

This paper advocates the use of standard high level programming languages for medical computing. It recommends that U.S. Government agencies having health care missions implement coordinated policies that encourage the use of existing standard languages and the development of new ones, thereby enabling them and the medical computing community at large to share state-of-the-art application programs. Examples are based on a model that characterizes language and language translator influence upon the specification, development, test, evaluation, and transfer of application programs.

Medical Spanish: A Functional Approach.

ERIC Educational Resources Information Center

Hendrickson, James M.

A functional approach to language teaching begins with knowing how students intend to use the foreign language for specific purposes and in specific situations. Instructors of medical Spanish can begin by determining the specific language functions that their students must be able to express when communicating with Hispanic patients, by means of a…

Implementation is crucial but must be neurobiologically grounded. Comment on “Toward a computational framework for cognitive biology: Unifying approaches from cognitive neuroscience and comparative cognition” by W. Tecumseh Fitch

NASA Astrophysics Data System (ADS)

Bornkessel-Schlesewsky, Ina; Schlesewsky, Matthias; Small, Steven L.

2014-09-01

From the perspective of language, Fitch's [1] claim that theories of cognitive computation should not be separated from those of implementation surely deserves applauding. Recent developments in the Cognitive Neuroscience of Language, leading to the new field of the Neurobiology of Language [2-4], emphasise precisely this point: rather than attempting to simply map cognitive theories of language onto the brain, we should aspire to understand how the brain implements language. This perspective resonates with many of the points raised by Fitch in his review, such as the discussion of unhelpful dichotomies (e.g., Nature versus Nurture). Cognitive dichotomies and debates have repeatedly turned out to be of limited usefulness when it comes to understanding language in the brain. The famous modularity-versus-interactivity and dual route-versus-connectionist debates are cases in point: in spite of hundreds of experiments using neuroimaging (or other techniques), or the construction of myriad computer models, little progress has been made in their resolution. This suggests that dichotomies proposed at a purely cognitive (or computational) level without consideration of biological grounding appear to be "asking the wrong questions" about the neurobiology of language. In accordance with these developments, several recent proposals explicitly consider neurobiological constraints while seeking to explain language processing at a cognitive level (e.g. [5-7]).

Medical Students and informed consent: A consensus statement prepared by the Faculties of Medical and Health Science of the Universities of Auckland and Otago, Chief Medical Officers of District Health Boards, New Zealand Medical Students' Association and the Medical Council of New Zealand.

PubMed

Bagg, Warwick; Adams, John; Anderson, Lynley; Malpas, Phillipa; Pidgeon, Grant; Thorn, Michael; Tulloch, David; Zhong, Cathy; Merry, Alan F

2015-05-15

To develop a national consensus statement to promote a pragmatic, appropriate and unified approach to seeking consent for medical student involvement in patient care. A modified Delphi technique was used to develop the consensus statement involving stakeholders. Feedback from consultation and each stakeholder helped to shape the final consensus statement. The consensus statement is a nationally-agreed statement concerning medical student involvement in patient care, which will be useful for medical students, health care professionals and patients.

Non-adherence to Newly Prescribed Diabetes Medications among Insured Latino and White Patients with Diabetes

PubMed Central

Fernández, Alicia; Quan, Judy; Moffet, Howard; Parker, Melissa M.; Schillinger, Dean; Karter, Andrew J.

2017-01-01

Importance Medication adherence is essential to diabetes care. Patient-provider language barriers may impact medication adherence among Latinos. Objective Determine the role of patient ethnicity, preferred language, and provider language concordance on adherence to newly prescribed diabetes medications. Design Observational study, 2006–2012. Setting Large, integrated health care delivery system with professional interpreter services. Participants Insured patients with type 2 diabetes, including English-speaking whites, English-speaking Latinos, or Limited English proficiency (LEP) Latinos with newly prescribed diabetes medication. Exposures Patient ethnicity, preferred language, and provider self-reported Spanish language fluency. Main Outcomes and Measures Primary non-adherence (never dispensed), early stage non-persistence (dispensed only once), late stage non-persistence (received ≥2 dispensings, but discontinued within 24 months), inadequate overall medication adherence (>20% time without sufficient medication supply during 24 months after initial prescription) based on new prescription medication gaps (NPMG). Results Participants included 21,878 whites, 5,755 English-speaking Latinos, and 3,205 LEP Latinos with 46,131 prescriptions for new diabetes medications. Among LEP Latinos, 50.2% had a primary care provider reporting high Spanish fluency. For oral medications, early adherence varied substantially: 32.2% of LEP Latinos, 27.2% of English-speaking Latinos and 18.3% of whites were either primary non-adherent or early non-persistent (p<0.05). Inadequate overall adherence was observed in 60.2% of LEP Latinos, 51.7% of English-speaking Latinos and 37.5% of whites. For insulin, early stage non-persistence was 42.8% among LEP Latinos, 34.4% among English-speaking Latinos, and 28.5 % among whites (p<0.05). After adjustment for patient demographic and clinical characteristics and provider demographics, LEP Latinos were more likely to be non-adherent to oral medications and insulin than English-speaking Latinos [RRs 1.11–1.17, p<0.05] or whites [RRs 1.36–1.49, p<0.05]. English-speaking Latinos were more likely to be non-adherent compared to whites [RRs 1.23–1.30. p<0.05]. Patient-provider language concordance was not associated with rates of non-adherence among LEP Latinos. Conclusions and Relevance Non-adherence to newly prescribed diabetes medication is substantially greater among Latinos than whites, even among English-speaking Latinos. LEP Latino patients are more likely to be non-adherent than English-speaking Latinos independent of the Spanish language fluency of their providers. Interventions beyond ensuring access to interpreters or patient-provider language concordance will be required to improve medication adherence among Latino patients with diabetes. PMID:28114642

Motor symptoms in Parkinson's disease: A unified framework.

PubMed

Moustafa, Ahmed A; Chakravarthy, Srinivasa; Phillips, Joseph R; Gupta, Ankur; Keri, Szabolcs; Polner, Bertalan; Frank, Michael J; Jahanshahi, Marjan

2016-09-01

Parkinson's disease (PD) is characterized by a range of motor symptoms. Besides the cardinal symptoms (akinesia and bradykinesia, tremor and rigidity), PD patients show additional motor deficits, including: gait disturbance, impaired handwriting, grip force and speech deficits, among others. Some of these motor symptoms (e.g., deficits of gait, speech, and handwriting) have similar clinical profiles, neural substrates, and respond similarly to dopaminergic medication and deep brain stimulation (DBS). Here, we provide an extensive review of the clinical characteristics and neural substrates of each of these motor symptoms, to highlight precisely how PD and its medical and surgical treatments impact motor symptoms. In conclusion, we offer a unified framework for understanding the range of motor symptoms in PD. We argue that various motor symptoms in PD reflect dysfunction of neural structures responsible for action selection, motor sequencing, and coordination and execution of movement. Copyright © 2016 Elsevier Ltd. All rights reserved.

Teaching colloquial Australian English to medical students from non-English speaking backgrounds.

PubMed

Chur-Hansen, A; Barrett, R J

1996-11-01

Lack of fluency in the language of instruction can form a barrier to medical education. There has been an effort within Australian universities to teach English to students from non-English speaking backgrounds (NESB), but little systematic attention has been given to the teaching of informal or colloquial English. This paper provides evidence that colloquial language is a pervasive and important aspect of doctor-patient communication. It describes a teaching project for NESB medical students which aimed to introduce them to colloquial English, and to provide them with a contextual approach to learning this form of language. Forty-four first year medical students enrolled at the University of Adelaide were required to gather examples of colloquial language by interviewing a native English speaker. Ninety-four examples of colloquial sayings were recorded. These were compiled in the form of a handbook which served as a student resource. Student evaluation of this exercise was positive. The benefits of an interactive method of teaching local and setting-specific language are discussed, and the implications of this approach for clinical teaching and for medical practice are explored.

Establishing the Validity of TOEIC Bridge™ Test Scores for Students in Colombia, Chile, and Ecuador. Research Report. ETS RR-08-58

ERIC Educational Resources Information Center

Sinharay, Sandip; Feng, Ying; Saldivia, Luis; Powers, Donald E.; Ginuta, Anthony; Simpson, Annabelle; Weng, Vincent

2008-01-01

The validity of TOEIC Bridge™ scores as a measure of English language skill was examined from the standpoint of a unified concept of test validity. In this study, more than 6,000 test takers in 3 Latin American countries (Chile, Colombia, and Ecuador) took 1 form of the TOEIC Bridge test, and their scores were compared to additional information…

GnoSys: Raising the Level of Discourse in Programming

DTIC Science & Technology

2016-03-01

slotting these results into their proper place in the unified whole is still ongoing as of the date of this final report. Approved for Public Release...static restrictions we place on type systems; they can be any computable property. This is in keep- ing with the general design philosophy of GnoSys...different languages. Because contracts are frequently placed on module boundaries, they ease the burden placed on our analysis and verification tools

Design Tools for Accelerating Development and Usage of Multi-Core Computing Platforms

DTIC Science & Technology

2014-04-01

Government formulated or supplied the drawings, specifications, or other data does not license the holder or any other person or corporation ; or convey...multicore PDSP platforms. The GPU- based capabilities of TDIF are currently oriented towards NVIDIA GPUs, based on the Compute Unified Device Architecture...CUDA) programming language [ NVIDIA 2007], which can be viewed as an extension of C. The multicore PDSP capabilities currently in TDIF are oriented

DEVS Unified Process for Web-Centric Development and Testing of System of Systems

DTIC Science & Technology

2008-05-20

gathering from the user. Further, methodologies have been developed to generate DEVS models from BPMN /BPEL-based and message-based requirement specifications...27] 3. BPMN /BPEL based system specifications: Business Process Modeling Notation ( BPMN ) [bpm] or Business Process Execution Language (BPEL) provide a...information is stored in .wsdl and .bpel files for BPEL but in proprietary format for BPMN . 4. DoDAF-based requirement specifications: Department of

Multilingual natural language generation as part of a medical terminology server.

PubMed

Wagner, J C; Solomon, W D; Michel, P A; Juge, C; Baud, R H; Rector, A L; Scherrer, J R

1995-01-01

Re-usable and sharable, and therefore language-independent concept models are of increasing importance in the medical domain. The GALEN project (Generalized Architecture for Languages Encyclopedias and Nomenclatures in Medicine) aims at developing language-independent concept representation systems as the foundations for the next generation of multilingual coding systems. For use within clinical applications, the content of the model has to be mapped to natural language. A so-called Multilingual Information Module (MM) establishes the link between the language-independent concept model and different natural languages. This text generation software must be versatile enough to cope at the same time with different languages and with different parts of a compositional model. It has to meet, on the one hand, the properties of the language as used in the medical domain and, on the other hand, the specific characteristics of the underlying model and its representation formalism. We propose a semantic-oriented approach to natural language generation that is based on linguistic annotations to a concept model. This approach is realized as an integral part of a Terminology Server, built around the concept model and offering different terminological services for clinical applications.

Medical Signbank: Bringing Deaf People and Linguists Together in the Process of Language Development

ERIC Educational Resources Information Center

Johnston, Trevor; Napier, Jemina

2010-01-01

In this article we describe an Australian project in which linguists, signed language interpreters, medical and health care professionals, and members of the Deaf community use the technology of the Internet to facilitate cooperative language development. A web-based, interactive multimedia lexicon, an encyclopedic dictionary, and a database of…

A unified explanation for the diverse structural deviations reported for adult schizophrenics with disrupted speech.

PubMed

Chaika, E

1982-06-01

This paper attempts a unified explanation for the diverse manifestations of deviant speech considered pathognomic for schizophrenia. Examination of the structure of such speech shows that what appear to be diverse errors are really manifestations of two problems: apparently random or erroneous triggering of sounds and words coupled with inappropriate perseverations. These are shown to be different manifestations of the same problem, possibly a schizophrenic dysfunction in neurotransmitters in the brain.. Studies of hemispheric asymetry in schizophrenia, involuntary eyetracking, and the probable action of antipsychotic medication confirm the linguistic data.

Patient empowerment by increasing the understanding of medical language for lay users.

PubMed

Topac, V; Stoicu-Tivadar, V

2013-01-01

Patient empowerment is important in order to increase the quality of medical care and the life quality of the patients. An important obstacle for empowering patients is the language barrier the lay patient encounter when accessing medical information. To design and develop a service that will help increase the understanding of medical language for lay persons. The service identifies and explains medical terminology from a given text by annotating the terms in the original text with the definition. It is based on an original terminology interpretation engine that uses a fuzzy matching dictionary. The service was implemented in two projects: a) into the server of a tele-care system (TELEASIS) with the purpose of adapting medical text assigned by medical personnel for the assisted patients. b) Into a dedicated web site that can adapt the medical language from raw text or from existing web pages. The output of the service was evaluated by a group of persons, and the results indicate that such a system can increase the understanding of medical texts. Several design decisions were driven from the evaluation, and are being considered for future development. Other tests measuring accuracy and time performance for the fuzzy terminology recognition have been performed. Test results revealed good performance for accuracy and excellent results regarding time performance. The current version of the service increases the accessibility of medical language by explaining terminology with a good accuracy, while allowing the user to easily identify errors, in order to reduce the risk of incorrect terminology recognition.

The Jupyter/IPython architecture: a unified view of computational research, from interactive exploration to communication and publication.

NASA Astrophysics Data System (ADS)

Ragan-Kelley, M.; Perez, F.; Granger, B.; Kluyver, T.; Ivanov, P.; Frederic, J.; Bussonnier, M.

2014-12-01

IPython has provided terminal-based tools for interactive computing in Python since 2001. The notebook document format and multi-process architecture introduced in 2011 have expanded the applicable scope of IPython into teaching, presenting, and sharing computational work, in addition to interactive exploration. The new architecture also allows users to work in any language, with implementations in Python, R, Julia, Haskell, and several other languages. The language agnostic parts of IPython have been renamed to Jupyter, to better capture the notion that a cross-language design can encapsulate commonalities present in computational research regardless of the programming language being used. This architecture offers components like the web-based Notebook interface, that supports rich documents that combine code and computational results with text narratives, mathematics, images, video and any media that a modern browser can display. This interface can be used not only in research, but also for publication and education, as notebooks can be converted to a variety of output formats, including HTML and PDF. Recent developments in the Jupyter project include a multi-user environment for hosting notebooks for a class or research group, a live collaboration notebook via Google Docs, and better support for languages other than Python.

Compositional and enumerative designs for medical language representation.

PubMed Central

Rassinoux, A. M.; Miller, R. A.; Baud, R. H.; Scherrer, J. R.

1997-01-01

Medical language is in essence highly compositional, allowing complex information to be expressed from more elementary pieces. Embedding the expressive power of medical language into formal systems of representation is recognized in the medical informatics community as a key step towards sharing such information among medical record, decision support, and information retrieval systems. Accordingly, such representation requires managing both the expressiveness of the formalism and its computational tractability, while coping with the level of detail expected by clinical applications. These desiderata can be supported by enumerative as well as compositional approaches, as argued in this paper. These principles have been applied in recasting a frame-based system for general medical findings developed during the 1980s. The new system captures the precise meaning of a subset of over 1500 medical terms for general internal medicine identified from the Quick Medical Reference (QMR) lexicon. In order to evaluate the adequacy of this formal structure in reflecting the deep meaning of the QMR findings, a validation process was implemented. It consists of automatically rebuilding the semantic representation of the QMR findings by analyzing them through the RECIT natural language analyzer, whose semantic components have been adjusted to this frame-based model for the understanding task. PMID:9357700

Compositional and enumerative designs for medical language representation.

PubMed

Rassinoux, A M; Miller, R A; Baud, R H; Scherrer, J R

1997-01-01

Medical language is in essence highly compositional, allowing complex information to be expressed from more elementary pieces. Embedding the expressive power of medical language into formal systems of representation is recognized in the medical informatics community as a key step towards sharing such information among medical record, decision support, and information retrieval systems. Accordingly, such representation requires managing both the expressiveness of the formalism and its computational tractability, while coping with the level of detail expected by clinical applications. These desiderata can be supported by enumerative as well as compositional approaches, as argued in this paper. These principles have been applied in recasting a frame-based system for general medical findings developed during the 1980s. The new system captures the precise meaning of a subset of over 1500 medical terms for general internal medicine identified from the Quick Medical Reference (QMR) lexicon. In order to evaluate the adequacy of this formal structure in reflecting the deep meaning of the QMR findings, a validation process was implemented. It consists of automatically rebuilding the semantic representation of the QMR findings by analyzing them through the RECIT natural language analyzer, whose semantic components have been adjusted to this frame-based model for the understanding task.

Software for integrated manufacturing systems, part 2

NASA Technical Reports Server (NTRS)

Volz, R. A.; Naylor, A. W.

1987-01-01

Part 1 presented an overview of the unified approach to manufacturing software. The specific characteristics of the approach that allow it to realize the goals of reduced cost, increased reliability and increased flexibility are considered. Why the blending of a components view, distributed languages, generics and formal models is important, why each individual part of this approach is essential, and why each component will typically have each of these parts are examined. An example of a specification for a real material handling system is presented using the approach and compared with the standard interface specification given by the manufacturer. Use of the component in a distributed manufacturing system is then compared with use of the traditional specification with a more traditional approach to designing the system. An overview is also provided of the underlying mechanisms used for implementing distributed manufacturing systems using the unified software/hardware component approach.

A Rewriting Logic Approach to Type Inference

NASA Astrophysics Data System (ADS)

Ellison, Chucky; Şerbănuţă, Traian Florin; Roşu, Grigore

Meseguer and Roşu proposed rewriting logic semantics (RLS) as a programing language definitional framework that unifies operational and algebraic denotational semantics. RLS has already been used to define a series of didactic and real languages, but its benefits in connection with defining and reasoning about type systems have not been fully investigated. This paper shows how the same RLS style employed for giving formal definitions of languages can be used to define type systems. The same term-rewriting mechanism used to execute RLS language definitions can now be used to execute type systems, giving type checkers or type inferencers. The proposed approach is exemplified by defining the Hindley-Milner polymorphic type inferencer mathcal{W} as a rewrite logic theory and using this definition to obtain a type inferencer by executing it in a rewriting logic engine. The inferencer obtained this way compares favorably with other definitions or implementations of mathcal{W}. The performance of the executable definition is within an order of magnitude of that of highly optimized implementations of type inferencers, such as that of OCaml.

Implementation of Markerless Augmented Reality Technology Based on Android to Introduction Lontara in Marine Society

NASA Astrophysics Data System (ADS)

Jumarlis, Mila; Mirfan, Mirfan

2018-05-01

Local language learning had been leaving by people especially young people had affected technology advances so that involved lack of interest to learn culture especially local language. So required interactive and interest learning media for introduction Lontara. This research aims to design and implement augmented reality on introduction Lontara on mobile device especially android. Application of introduction Lontara based on Android was designed by Vuforia and Unity. Data collection method were observation, interview, and literature review. That data was analysed for being information. The system was designed by Unified Modeling Language (UML). The method used is a marker. The test result found that application of Augmented Reality on introduction Lontara based on Android could improve public interest for introducing local language particularly young people in learning about Lontara because of using technology. Application of introduction of Lontara based on Android used augmented reality occurred sound and how to write Lontara with animation. This application could be running without an internet connection, so that its used more efficient and could maximize from user.

Working with the HL7 metamodel in a Model Driven Engineering context.

PubMed

Martínez-García, A; García-García, J A; Escalona, M J; Parra-Calderón, C L

2015-10-01

HL7 (Health Level 7) International is an organization that defines health information standards. Most HL7 domain information models have been designed according to a proprietary graphic language whose domain models are based on the HL7 metamodel. Many researchers have considered using HL7 in the MDE (Model-Driven Engineering) context. A limitation has been identified: all MDE tools support UML (Unified Modeling Language), which is a standard model language, but most do not support the HL7 proprietary model language. We want to support software engineers without HL7 experience, thus real-world problems would be modeled by them by defining system requirements in UML that are compliant with HL7 domain models transparently. The objective of the present research is to connect HL7 with software analysis using a generic model-based approach. This paper introduces a first approach to an HL7 MDE solution that considers the MIF (Model Interchange Format) metamodel proposed by HL7 by making use of a plug-in developed in the EA (Enterprise Architect) tool. Copyright © 2015 Elsevier Inc. All rights reserved.

SUS users' perception: a speech-language pathology approach based on health promotion.

PubMed

Cunha, Jenane Topanotti da; Massi, Giselle; Guarinello, Ana Cristina; Pereira, Francine Martins

2016-01-01

This study aimed to analyze the perceptions of users of the Brazilian Unified Health System (SUS) about the treatment Center where they were assisted, as well as about the speech-language pathology services rendered by this Center. This is a transversal study composed of an interview with 26 open questions and 14 closed questions applied to 111 individuals who were assisted at the SUS Center in August 2013. The quantitative content analysis was conducted through the use of the GraphPadPrisma 5.1, Statistic Package for Social Sciences (SPSS) 15.0 software and the application of the D'agostino & Person, F-test and chi-squared test. Most participants reported a positive perception about the facilities and staff of the treatment center. They were also positive about the waiting time and the speech-language pathologists' explanations and conduct, especially in the audiology department. Most responses from participants were short and did not present an argumentative context. The treatment center received a high approval rating by most users. The audiology department had better grades than the clinical services related to language and oral motor pathologies.

Spanish-language community-based mental health treatment programs, policy-required language-assistance programming, and mental health treatment access among Spanish-speaking clients.

PubMed

Snowden, Lonnie R; McClellan, Sean R

2013-09-01

We investigated the extent to which implementing language assistance programming through contracting with community-based organizations improved the accessibility of mental health care under Medi-Cal (California's Medicaid program) for Spanish-speaking persons with limited English proficiency, and whether it reduced language-based treatment access disparities. Using a time series nonequivalent control group design, we studied county-level penetration of language assistance programming over 10 years (1997-2006) for Spanish-speaking persons with limited English proficiency covered under Medi-Cal. We used linear regression with county fixed effects to control for ongoing trends and other influences. When county mental health plans contracted with community-based organizations, those implementing language assistance programming increased penetration rates of Spanish-language mental health services under Medi-Cal more than other plans (0.28 percentage points, a 25% increase on average; P < .05). However, the increase was insufficient to significantly reduce language-related disparities. Mental health treatment programs operated by community-based organizations may have moderately improved access after implementing required language assistance programming, but the programming did not reduce entrenched disparities in the accessibility of mental health services.

Spanish-Language Community-Based Mental Health Treatment Programs, Policy-Required Language-Assistance Programming, and Mental Health Treatment Access Among Spanish-Speaking Clients

PubMed Central

McClellan, Sean R.

2013-01-01

Objectives. We investigated the extent to which implementing language assistance programming through contracting with community-based organizations improved the accessibility of mental health care under Medi-Cal (California’s Medicaid program) for Spanish-speaking persons with limited English proficiency, and whether it reduced language-based treatment access disparities. Methods. Using a time series nonequivalent control group design, we studied county-level penetration of language assistance programming over 10 years (1997–2006) for Spanish-speaking persons with limited English proficiency covered under Medi-Cal. We used linear regression with county fixed effects to control for ongoing trends and other influences. Results. When county mental health plans contracted with community-based organizations, those implementing language assistance programming increased penetration rates of Spanish-language mental health services under Medi-Cal more than other plans (0.28 percentage points, a 25% increase on average; P < .05). However, the increase was insufficient to significantly reduce language-related disparities. Conclusions. Mental health treatment programs operated by community-based organizations may have moderately improved access after implementing required language assistance programming, but the programming did not reduce entrenched disparities in the accessibility of mental health services. PMID:23865663

Healing and morality: a Javanese example.

PubMed

Woodward, M R

1985-01-01

Javanese traditional medicine is based on Sufi Muslim notions of personhood, knowledge and magical power. This world view motivates two conflicting modalities of medical practice: one based on the magic powers of curers (dukun), the others on the religiously validated powers of Sufi saints. The association of magical and bio-medical knowledge allows Javanese to interpret traditional and bio-medical cures as components of a unified health care system. Comparison of Javanese medical, religious and political systems suggests that the structural uniformity of cultural domains derives from the hierarchical organization of cultural knowledge and that the study of traditional medicine and medical pluralism can not be undertaken apart from that of world view.

A UMLS-based spell checker for natural language processing in vaccine safety.

PubMed

Tolentino, Herman D; Matters, Michael D; Walop, Wikke; Law, Barbara; Tong, Wesley; Liu, Fang; Fontelo, Paul; Kohl, Katrin; Payne, Daniel C

2007-02-12

The Institute of Medicine has identified patient safety as a key goal for health care in the United States. Detecting vaccine adverse events is an important public health activity that contributes to patient safety. Reports about adverse events following immunization (AEFI) from surveillance systems contain free-text components that can be analyzed using natural language processing. To extract Unified Medical Language System (UMLS) concepts from free text and classify AEFI reports based on concepts they contain, we first needed to clean the text by expanding abbreviations and shortcuts and correcting spelling errors. Our objective in this paper was to create a UMLS-based spelling error correction tool as a first step in the natural language processing (NLP) pipeline for AEFI reports. We developed spell checking algorithms using open source tools. We used de-identified AEFI surveillance reports to create free-text data sets for analysis. After expansion of abbreviated clinical terms and shortcuts, we performed spelling correction in four steps: (1) error detection, (2) word list generation, (3) word list disambiguation and (4) error correction. We then measured the performance of the resulting spell checker by comparing it to manual correction. We used 12,056 words to train the spell checker and tested its performance on 8,131 words. During testing, sensitivity, specificity, and positive predictive value (PPV) for the spell checker were 74% (95% CI: 74-75), 100% (95% CI: 100-100), and 47% (95% CI: 46%-48%), respectively. We created a prototype spell checker that can be used to process AEFI reports. We used the UMLS Specialist Lexicon as the primary source of dictionary terms and the WordNet lexicon as a secondary source. We used the UMLS as a domain-specific source of dictionary terms to compare potentially misspelled words in the corpus. The prototype sensitivity was comparable to currently available tools, but the specificity was much superior. The slow processing speed may be improved by trimming it down to the most useful component algorithms. Other investigators may find the methods we developed useful for cleaning text using lexicons specific to their area of interest.

A UMLS-based spell checker for natural language processing in vaccine safety

PubMed Central

Tolentino, Herman D; Matters, Michael D; Walop, Wikke; Law, Barbara; Tong, Wesley; Liu, Fang; Fontelo, Paul; Kohl, Katrin; Payne, Daniel C

2007-01-01

Background The Institute of Medicine has identified patient safety as a key goal for health care in the United States. Detecting vaccine adverse events is an important public health activity that contributes to patient safety. Reports about adverse events following immunization (AEFI) from surveillance systems contain free-text components that can be analyzed using natural language processing. To extract Unified Medical Language System (UMLS) concepts from free text and classify AEFI reports based on concepts they contain, we first needed to clean the text by expanding abbreviations and shortcuts and correcting spelling errors. Our objective in this paper was to create a UMLS-based spelling error correction tool as a first step in the natural language processing (NLP) pipeline for AEFI reports. Methods We developed spell checking algorithms using open source tools. We used de-identified AEFI surveillance reports to create free-text data sets for analysis. After expansion of abbreviated clinical terms and shortcuts, we performed spelling correction in four steps: (1) error detection, (2) word list generation, (3) word list disambiguation and (4) error correction. We then measured the performance of the resulting spell checker by comparing it to manual correction. Results We used 12,056 words to train the spell checker and tested its performance on 8,131 words. During testing, sensitivity, specificity, and positive predictive value (PPV) for the spell checker were 74% (95% CI: 74–75), 100% (95% CI: 100–100), and 47% (95% CI: 46%–48%), respectively. Conclusion We created a prototype spell checker that can be used to process AEFI reports. We used the UMLS Specialist Lexicon as the primary source of dictionary terms and the WordNet lexicon as a secondary source. We used the UMLS as a domain-specific source of dictionary terms to compare potentially misspelled words in the corpus. The prototype sensitivity was comparable to currently available tools, but the specificity was much superior. The slow processing speed may be improved by trimming it down to the most useful component algorithms. Other investigators may find the methods we developed useful for cleaning text using lexicons specific to their area of interest. PMID:17295907

Adherence as a language game.

PubMed

Kolberg, Espen Skarstein

2017-04-01

Non-adherence, i.e. medication intake behavior not corresponding with agreed recommendations, is associated with increased morbidity and death, and it has been estimated that as many as 50% of patients in developed countries are not taking their medications as prescribed. But even as efforts in improving medication adherence over the years have increased, results are inconsistent, with only a minority of clinical trials showing any improvement in both adherence and clinical outcome. Since patient education is central to promoting good medication adherence, and language is integral to education, perhaps an exploration of the meaning and use of language, using the philosophy of Ludwig Wittgenstein, is in order.

Terminology and global standardization of endoscopic information: Minimal Standard Terminology (MST).

PubMed

Fujino, Masayuki A; Bito, Shigeru; Takei, Kazuko; Mizuno, Shigeto; Yokoi, Hideto

2006-01-01

Since 1994, following the leading efforts by the European Society for Gastrointestinal Endoscopy, Organisation Mondiale d'Endoscopie Digestive (OMED) has succeeded in compiling minimal number of terms required for computer generation of digestive endoscopy reports nicknamed MST (Minimal Standard Terminology). Though with some insufficiencies, and though developed only for digestive endoscopy, MST has been the only available terminology that is globally standardized in medicine. By utilizing the merits of a unified, structured terminology that can be used in multiple languages we can utilize the data stored in different languages as a common database. For this purpose, a standing, terminology-managing organization that manages and maintains and, when required, expands the terminology on a global level, is absolutely necessary. Unfortunately, however, the organization that performs version control of MST (OMED terminology, standardization and data processing committee) is currently suspending its activity. Medical practice of the world demands more and more specialization, with resultant needs for information exchange among specialized territories. As the cooperation between endoscopy and pathology has become currently the most important problem in the Endoscopy Working Group of Integrating Healthcare Enterprise-Japan (IHE-J,) the cooperation among different specialties is essential. There are DICOM or HL7 standards as the protocols for storage, and exchange (communication) of the data, but there is yet no organization that manages the terminology itself astride different specialties. We hereby propose to establish, within IEEE, for example, a system that promotes standardization of the terminology that can transversely describe a patient, and that can control different societies and groups, as far as the terminology is concerned.

Tertiary care centre adherence to unified guidelines for management of periprosthetic joint infections: a gap analysis

PubMed Central

Armstrong, Mitchel D.; Carli, Alberto V.; Abdelbary, Hesham; Poitras, Stephane; Lapner, Peter; Beaulé, Paule E.

2018-01-01

Background The success rate of surgical treatment for periprosthetic joint infection (PJI) remains inconsistent in the literature. Variability in PJI clinical guidelines and surgeon adherence to guidelines could affect treatment success. The objectives of this study were to appraise current recommendations for PJI management and develop a unified clinical standard of care, to perform a gap analysis of PJI cases in a tertiary institution to determine the rate of guideline adherence, and to determine if adherence to unified PJI guidelines affected 2-year treatment outcomes. Methods We appraised the PJI guidelines from 3 academic medical societies, and consistent statements were aggregated. We retrospectively reviewed all PJI cases in a tertiary care institution. We defined PJI based on Musculoskeletal Infection Society PJI criteria. Surgeon adherence to preoperative, intraoperative, surgical and medical management guidelines was calculated, and we evaluated the association between guideline adherence and 2-year treatment outcomes. Results The institutional rate of PJI was 1.13% (38 of 3368). Treatment success was 57.8% at 2 years. Unified guideline adherence percentages varied substantially: 92% of patients had preoperative erythrocyte sedimentation rate and C-reactive protein, 97% had intraoperative tissue cultures, 42% had appropriate preoperative arthrocentesis, and 74% underwent guideline-appropriate surgery. Performing appropriate preoperative arthrocentesis significantly correlated with positive treatment outcomes at 2 years (p = 0.028). Conclusion Adherence to PJI guidelines varies considerably, indicating that clinicians are either unaware of them or do not recognize their value for PJI treatment. This study shows the need for institution-based PJI treatment pathways that are consistent with published guidelines and the need to monitor adherence. PMID:29368675

JPRS Report, East Europe.

DTIC Science & Technology

1990-10-17

debt imbalance would have been avoided if things had been "acted upon" on time and with the necessary effect . POLITICAL JPRS-EER-90-142 17 October...language and restore the prestige of the country abroad. He is a symbol and a unifying factor. In short, concludes the filmmaker Jiri Menzel, always... filmmaker Jan Nemec, none of the 1968 exiles has returned to the country to help rebuild it. Czechoslovakia has hit some- thing of a low point. But as

Using Unified Modelling Language (UML) as a process-modelling technique for clinical-research process improvement.

PubMed

Kumarapeli, P; De Lusignan, S; Ellis, T; Jones, B

2007-03-01

The Primary Care Data Quality programme (PCDQ) is a quality-improvement programme which processes routinely collected general practice computer data. Patient data collected from a wide range of different brands of clinical computer systems are aggregated, processed, and fed back to practices in an educational context to improve the quality of care. Process modelling is a well-established approach used to gain understanding and systematic appraisal, and identify areas of improvement of a business process. Unified modelling language (UML) is a general purpose modelling technique used for this purpose. We used UML to appraise the PCDQ process to see if the efficiency and predictability of the process could be improved. Activity analysis and thinking-aloud sessions were used to collect data to generate UML diagrams. The UML model highlighted the sequential nature of the current process as a barrier for efficiency gains. It also identified the uneven distribution of process controls, lack of symmetric communication channels, critical dependencies among processing stages, and failure to implement all the lessons learned in the piloting phase. It also suggested that improved structured reporting at each stage - especially from the pilot phase, parallel processing of data and correctly positioned process controls - should improve the efficiency and predictability of research projects. Process modelling provided a rational basis for the critical appraisal of a clinical data processing system; its potential maybe underutilized within health care.

[The planning of resource support of secondary medical care in hospital].

PubMed

Kungurov, N V; Zil'berberg, N V

2010-01-01

The Ural Institute of dermatovenerology and immunopathology developed and implemented the software concerning the personalized total recording of medical services and pharmaceuticals. The Institute also presents such software as listing of medical services, software module of calculation of financial costs of implementing full standards of secondary medical care in case of chronic dermatopathy, reference book of standards of direct specific costs on laboratory and physiotherapy services, reference book of pharmaceuticals, testing systems and consumables. The unified information system of management recording is a good technique to substantiate the costs of the implementation of standards of medical care, including high-tech care with taking into account the results of total calculation of provided medical services.

New Edition of Chinese Biochemistry Textbook.

ERIC Educational Resources Information Center

Jian-Chuan, Ma

1988-01-01

Discusses the four previous editions of the biochemistry medical textbooks called the "Nationwide Unified Textbooks." Notes the new (1989) edition is much smaller, is organized differently, has new material, has a reorganized Dynamic Biochemistry core, and shows great importance to clinical biochemistry. (MVL)

Neuropsychological performance in LRRK2 G2019S carriers with Parkinson’s disease

PubMed Central

Alcalay, Roy N.; Mejia-Santana, Helen; Mirelman, Anat; Saunders-Pullman, Rachel; Raymond, Deborah; Palmese, Christina; Caccappolo, Elise; Ozelius, Laurie; Orr-Urtreger, Avi; Clark, Lorraine; Giladi, Nir; Bressman, Susan; Marder, Karen

2014-01-01

Background Ashkenazi Jewish (AJ) LRRK2 carriers are more likely to manifest the postural instability gait difficulty (PIGD) motor phenotype than non-carriers but perform similarly to non-carriers on cognitive screening tests. Objective To compare the cognitive profiles of AJ with Parkinson’s disease (PD) with and without LRRK2 G2019S mutations using a comprehensive neuropsychological battery. Methods We administered a neuropsychological battery to PD participants in the Michael J. Fox Foundation AJ consortium. Participants (n=236) from Beth Israel Medical Center, NY, Columbia University Medical Center, NY and Tel Aviv Medical Center, Israel included 116 LRRK2 G2019S carriers and 120 non-carriers. Glucocerbrosidase mutation carriers were excluded. We compared performance on each neuropsychological test between carriers and non-carriers. Participants in New York (n=112) were evaluated with the entire battery. Tel Aviv participants (n=124) were evaluated on attention, executive function and psychomotor speed tasks. The association between G2019S mutation status (predictor) and each neuropsychological test (outcome) was assessed using linear regression models adjusted for PIGD motor phenotype, site, sex, age, disease duration, education, Unified Parkinson’s Disease Rating Scale (UPDRS) Part III, levodopa equivalent dose, and Geriatric Depression Score (GDS). Results Carriers had longer disease duration (p<0.001) and were more likely to manifest the PIGD phenotype (p=0.024). In adjusted regression models, carriers performed better than non-carriers in Stroop Word Reading (p<0.001), Stroop Interference (p=0.011) and Category Fluency (p=0.026). Conclusion In AJ-PD, G2019S mutation status is associated with better attention (Stroop Word Reading), executive function (Stroop Interference) and language (Category Fluency) after adjustment for PIGD motor phenotype. PMID:25434972

Language barriers and patient safety risks in hospital care. A mixed methods study.

PubMed

van Rosse, Floor; de Bruijne, Martine; Suurmond, Jeanine; Essink-Bot, Marie-Louise; Wagner, Cordula

2016-02-01

A language barrier has been shown to be a threat for quality of hospital care. International studies highlighted a lack of adequate noticing, reporting, and bridging of a language barrier. However, studies on the link between language proficiency and patient safety are scarce, especially in Europe. The present study investigates patient safety risks due to language barriers during hospitalization, and the way language barriers are detected, reported, and bridged in Dutch hospital care. We combined quantitative and qualitative methods in a sample of 576 ethnic minority patients who were hospitalized on 30 wards within four urban hospitals. The nursing and medical records of 17 hospital admissions of patients with language barriers were qualitatively analyzed, and complemented by 12 in-depth interviews with care providers and patients and/or their relatives to identify patient safety risks during hospitalization. The medical records of all 576 patients were screened for language barrier reports. The results were compared to patients' self-reported Dutch language proficiency. The policies of wards regarding bridging language barriers were compared with the reported use of interpreters in the medical records. Situations in hospital care where a language barrier threatened patient safety included daily nursing tasks (i.e. medication administration, pain management, fluid balance management) and patient-physician interaction concerning diagnosis, risk communication and acute situations. In 30% of the patients that reported a low Dutch proficiency, no language barrier was documented in the patient record. Relatives of patients often functioned as interpreter for them and professional interpreters were hardly used. The present study showed a wide variety of risky situations in hospital care for patients with language barriers. These risks can be reduced by adequately bridging the language barrier, which, in the first place, demands adequate detecting and reporting of a language barrier. This is currently not sufficiently done in most Dutch hospitals. Moreover, new solutions to bridge language barriers are needed for situations such as routine safety checks performed by nurses, in which a professional or even informal interpreter is not feasible. Copyright © 2015 Elsevier Ltd. All rights reserved.

Morphosemantic parsing of medical compound words: transferring a French analyzer to English.

PubMed

Deléger, Louise; Namer, Fiammetta; Zweigenbaum, Pierre

2009-04-01

Medical language, as many technical languages, is rich with morphologically complex words, many of which take their roots in Greek and Latin--in which case they are called neoclassical compounds. Morphosemantic analysis can help generate definitions of such words. The similarity of structure of those compounds in several European languages has also been observed, which seems to indicate that a same linguistic analysis could be applied to neo-classical compounds from different languages with minor modifications. This paper reports work on the adaptation of a morphosemantic analyzer dedicated to French (DériF) to analyze English medical neo-classical compounds. It presents the principles of this transposition and its current performance. The analyzer was tested on a set of 1299 compounds extracted from the WHO-ART terminology. 859 could be decomposed and defined, 675 of which successfully. An advantage of this process is that complex linguistic analyses designed for French could be successfully transposed to the analysis of English medical neoclassical compounds, which confirmed our hypothesis of transferability. The fact that the method was successfully applied to a Germanic language such as English suggests that performances would be at least as high if experimenting with Romance languages such as Spanish. Finally, the resulting system can produce more complete analyses of English medical compounds than existing systems, including a hierarchical decomposition and semantic gloss of each word.

English language proficiency and academic performance: A study of a medical preparatory year program in Saudi Arabia

PubMed Central

Kaliyadan, Feroze; Thalamkandathil, Nazer; Parupalli, Srinivas Rao; Amin, Tarek Tawfik; Balaha, Magdy Hassan; Al Bu Ali, Waleed Hamad

2015-01-01

Introduction: All medical schools in Saudi Arabia have English as the primary official medium of instruction. Most of the high school education, however, is delivered in Arabic and hence the transition to an English based learning environment tends to be difficult for some students. Our study aims to correlate English language proficiency with academic performance among medical students in their preparatory year. Methods: A cross-sectional study design was used. Test scores of 103 preparatory year students (54 female and 49 male) were analyzed after the students completed an English language course and medical introductory course in their preparatory year. The total score obtained in the English course assessment was compared to each component of the medical content assessment. Results: A significantly positive correlation (Spearman's Rho, at 0.01 levels) was seen between the scores of the English exam and the written exam (P <0.001) and the oral exam (P = −0.003) parts respectively of the medical examination. Significant correlation with the English exam score was not obtained for the other components of the medical assessment, namely; student assignments, presentations and portfolios. Conclusion: English language proficiency is an important factor in determining academic proficiency of medical students in our college at the preparatory year level. PMID:26629471

English language proficiency and academic performance: A study of a medical preparatory year program in Saudi Arabia.

PubMed

Kaliyadan, Feroze; Thalamkandathil, Nazer; Parupalli, Srinivas Rao; Amin, Tarek Tawfik; Balaha, Magdy Hassan; Al Bu Ali, Waleed Hamad

2015-01-01

All medical schools in Saudi Arabia have English as the primary official medium of instruction. Most of the high school education, however, is delivered in Arabic and hence the transition to an English based learning environment tends to be difficult for some students. Our study aims to correlate English language proficiency with academic performance among medical students in their preparatory year. A cross-sectional study design was used. Test scores of 103 preparatory year students (54 female and 49 male) were analyzed after the students completed an English language course and medical introductory course in their preparatory year. The total score obtained in the English course assessment was compared to each component of the medical content assessment. A significantly positive correlation (Spearman's Rho, at 0.01 levels) was seen between the scores of the English exam and the written exam (P <0.001) and the oral exam (P = -0.003) parts respectively of the medical examination. Significant correlation with the English exam score was not obtained for the other components of the medical assessment, namely; student assignments, presentations and portfolios. English language proficiency is an important factor in determining academic proficiency of medical students in our college at the preparatory year level.

A Spanish language and culture initiative for a doctor of pharmacy curriculum.

PubMed

VanTyle, W Kent; Kennedy, Gala; Vance, Michael A; Hancock, Bruce

2011-02-10

To implement a Spanish language and culture initiative in a doctor of pharmacy (PharmD) curriculum that would improve students' Spanish language skills and cultural competence so that graduates could provide competent pharmaceutical care to Spanish-speaking patients. Five elective courses were created and introduced to the curriculum including 2 medical Spanish courses; a medical Spanish service-learning course; a 2-week Spanish language and cultural immersion trip to Mexico; and an advanced practice pharmacy experience (APPE) at a medical care clinic serving a high percentage of Spanish-speaking patients. Advisors placed increased emphasis on encouraging pharmacy students to complete a major or minor in Spanish. Enrollment in the Spanish language courses and the cultural immersion trip has been strong. Twenty-three students have completed the APPE at a Spanish-speaking clinic. Eleven percent of 2010 Butler University pharmacy graduates completed a major or minor in Spanish compared to approximately 1% in 2004 when the initiative began. A Spanish language and culture initiative started in 2004 has resulted in increased Spanish language and cultural competence among pharmacy students and recent graduates.

Well, Now, Okey Dokey: English Discourse Markers in Spanish Language Medical Consultations

PubMed Central

Vickers, Caroline H.; Goble, Ryan

2013-01-01

The purpose of this paper is to examine use of English discourse markers in otherwise Spanish language consultations. Data is derived from an audio-recorded corpus of Spanish language consultations that took place in a small community clinic in the United States as well as post-consultation interviews with patients and providers. Through quantification of the use of discourse makers in the corpus and discourse analysis of transcripts, we demonstrate that English-speaking dominant medical providers use English discourse markers more frequently and with a broader range of functions than do Spanish-speaking dominant medical providers and patients. We argue that such use of English discourse markers serves to exacerbate the power relationship between providers and patients even though the use of English discourse markers does not cause overt miscommunication in the ongoing interaction. Implications for providers who use a second language in their medical consultations are discussed. PMID:24347670

Treatment of anorexia nervosa in children and adolescents.

PubMed

Weaver, Laurel; Sit, Lydia; Liebman, Ronald

2012-04-01

In this review, we discuss the treatment of anorexia nervosa (AN) in children and adolescents, highlighting inpatient and outpatient psychiatric treatment. AN is an illness that involves medical and psychological issues; hence, treatment often requires the seamless integration of several medical professionals. It is important that the treatment model be unified and consistent as patients transition from inpatient to outpatient treatment. We briefly describe the therapeutic principles involved in treatment of AN and then give examples of how we employ these principles across treatment settings and with multiple medical professionals.

Whose Lingua Franca? The Politics of Language in Transnational Medical Education

ERIC Educational Resources Information Center

Kane, Tanya

2014-01-01

The lingua franca promoted at Weill Cornell Medical College in Qatar belongs to few as a first language. The implementation of an English-medium curriculum at Qatar's only medical school has proved a double-edged sword. Despite English being deployed out of necessity as part of a strategy geared to improve health care provision and medical…

Greek as a Foreign Language for Speakers of Arabic: A Study of Medical Students at the University of Thessaly

ERIC Educational Resources Information Center

Andreou, Georgia; Mitsis, Napoleon

2005-01-01

This paper reports our findings and observations on the difficulties of university students learning Greek as a foreign language at the University of Thessaly. A group of medical students, whose native language was Arabic, answered two questionnaires concerning their use of and competence in Greek. The results showed that first and second year…

Some empirical observations about early stuttering: a possible link to language development.

PubMed

Bloodstein, O

2006-01-01

This article suggests a possible link between incipient stuttering and early difficulty in language formulation. The hypothesis offers a unifying explanation of an array of empirical observations. Among these observations are the following: early stuttering occurs only on the first word of a syntactic structure; stuttering does not appear to be influenced by word-related factors; early stuttering seldom occurs on one-word utterances; the earliest age at which stuttering is reported is 18 months, with the beginning of grammatical development; the age at which most onset of stuttering is reported, 2-5 years, coincides with the period during which children acquire syntax; considerable spontaneous recovery takes place at the time most children have mastered syntax; incipient stuttering is influenced by the length and grammatical complexity of utterances; young children who stutter may be somewhat deficient in language skills; boys who stutter outnumber girls. The reader will learn about a number of empirical observations about incipient stuttering and how they may be explained by a syntax-based hypothesis about its etiology.

Fusing Symbolic and Numerical Diagnostic Computations

NASA Technical Reports Server (NTRS)

James, Mark

2007-01-01

X-2000 Anomaly Detection Language denotes a developmental computing language, and the software that establishes and utilizes the language, for fusing two diagnostic computer programs, one implementing a numerical analysis method, the other implementing a symbolic analysis method into a unified event-based decision analysis software system for realtime detection of events (e.g., failures) in a spacecraft, aircraft, or other complex engineering system. The numerical analysis method is performed by beacon-based exception analysis for multi-missions (BEAMs), which has been discussed in several previous NASA Tech Briefs articles. The symbolic analysis method is, more specifically, an artificial-intelligence method of the knowledge-based, inference engine type, and its implementation is exemplified by the Spacecraft Health Inference Engine (SHINE) software. The goal in developing the capability to fuse numerical and symbolic diagnostic components is to increase the depth of analysis beyond that previously attainable, thereby increasing the degree of confidence in the computed results. In practical terms, the sought improvement is to enable detection of all or most events, with no or few false alarms.

Towards iconic language for patient records, drug monographs, guidelines and medical search engines.

PubMed

Lamy, Jean-Baptiste; Duclos, Catherine; Hamek, Saliha; Beuscart-Zéphir, Marie-Catherine; Kerdelhué, Gaetan; Darmoni, Stefan; Favre, Madeleine; Falcoff, Hector; Simon, Christian; Pereira, Suzanne; Serrot, Elisabeth; Mitouard, Thierry; Hardouin, Etienne; Kergosien, Yannick; Venot, Alain

2010-01-01

Practicing physicians have limited time for consulting medical knowledge and records. We have previously shown that using icons instead of text to present drug monographs may allow contraindications and adverse effects to be identified more rapidly and more accurately. These findings were based on the use of an iconic language designed for drug knowledge, providing icons for many medical concepts, including diseases, antecedents, drug classes and tests. In this paper, we describe a new project aimed at extending this iconic language, and exploring the possible applications of these icons in medicine. Based on evaluators' comments, focus groups of physicians and opinions of academic, industrial and associative partners, we propose iconic applications related to patient records, for example summarizing patient conditions, searching for specific clinical documents and helping to code structured data. Other applications involve the presentation of clinical practice guidelines and improving the interface of medical search engines. These new applications could use the same iconic language that was designed for drug knowledge, with a few additional items that respect the logic of the language.

Towards a portal and search engine to facilitate academic and research collaboration in engineering and education

NASA Astrophysics Data System (ADS)

Bonilla Villarreal, Isaura Nathaly

While international academic and research collaborations are of great importance at this time, it is not easy to find researchers in the engineering field that publish in languages other than English. Because of this disconnect, there exists a need for a portal to find Who's Who in Engineering Education in the Americas. The objective of this thesis is to built an object-oriented architecture for this proposed portal. The Unified Modeling Language (UML) model developed in this thesis incorporates the basic structure of a social network for academic purposes. Reverse engineering of three social networks portals yielded important aspects of their structures that have been incorporated in the proposed UML model. Furthermore, the present work includes a pattern for academic social networks..

Text Simplification Using Consumer Health Vocabulary to Generate Patient-Centered Radiology Reporting: Translation and Evaluation.

PubMed

Qenam, Basel; Kim, Tae Youn; Carroll, Mark J; Hogarth, Michael

2017-12-18

Radiology reporting is a clinically oriented form of documentation that reflects critical information for patients about their health care processes. Realizing its importance, many medical institutions have started providing radiology reports in patient portals. The gain, however, can be limited because of medical language barriers, which require a way for customizing these reports for patients. The open-access, collaborative consumer health vocabulary (CHV) is a terminology system created for such purposes and can be the basis of lexical simplification processes for clinical notes. The aim of this study was to examine the comprehensibility and suitability of CHV in simplifying radiology reports for consumers. This was done by characterizing the content coverage and the lexical similarity between the terms in the reports and the CHV-preferred terms. The overall procedure was divided into the following two main stages: (1) translation and (2) evaluation. The translation process involved using MetaMap to link terms in the reports to CHV concepts. This is followed by replacing the terms with CHV-preferred terms using the concept names and sources table (MRCONSO) in the Unified Medical Language System (UMLS) Metathesaurus. In the second stage, medical terms in the reports and general terms that are used to describe medical phenomena were selected and evaluated by comparing the words in the original reports with the translated ones. The evaluation includes measuring the content coverage, investigating lexical similarity, and finding trends in missing concepts. Of the 792 terms selected from the radiology reports, 695 of them could be mapped directly to CHV concepts, indicating a content coverage of 88.5%. A total of 51 of the concepts (53%, 51/97) that could not be mapped are names of human anatomical structures and regions, followed by 28 anatomical descriptions and pathological variations (29%, 28/97). In addition, 12 radiology techniques and projections represented 12% of the unmapped concepts, whereas the remaining six concepts (6%, 12/97) were physiological descriptions. The rate of lexical similarity between the CHV-preferred terms and the terms in the radiology reports was approximately 72.6%. The CHV covered a high percentage of concepts found in the radiology reports, but unmapped concepts are associated with areas that are commonly found in radiology reporting. CHV terms also showed a high percentage of lexical similarity with terms in the reports, which contain a myriad of medical jargon. This suggests that many CHV terms might not be suitable for lay consumers who would not be facile with radiology-specific vocabulary. Therefore, further patient-centered content changes are needed of the CHV to increase its usefulness and facilitate its integration into consumer-oriented applications. ©Basel Qenam, Tae Youn Kim, Mark J Carroll, Michael Hogarth. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 18.12.2017.

The impact of threshold language assistance programming on the accessibility of mental health services for persons with limited English proficiency in the Medi-Cal setting.

PubMed

McClellan, Sean R; Wu, Frances M; Snowden, Lonnie R

2012-06-01

Title VI of the 1964 Civil Rights Act prohibits federal funds recipients from providing care to limited English proficiency (LEP) persons more limited in scope or lower in quality than care provided to others. In 1999, the California Department of Mental Health implemented a "threshold language access policy" to meet its Title VI obligations. Under this policy, Medi-Cal agencies must provide language assistance programming in a non-English language where a county's Medical population contains either 3000 residents or 5% speakers of that language. We examine the impact of threshold language policy-required language assistance programming on LEP persons' access to mental health services by analyzing the county-level penetration rate of services for Russian, Spanish, and Vietnamese speakers across 34 California counties, over 10 years of quarterly data. Exploiting a time series with nonequivalent control group study design, we studied this phenomena using linear regression with random county effects to account for trends over time. Threshold language policy-required assistance programming led to an immediate and significant increase in the penetration rate of mental health services for Russian (8.2, P < 0.01) and Vietnamese (3.3, P < 0.01) language speaking persons. Threshold language assistance programming was effective in increasing mental health access for Russian and Vietnamese, but not for Spanish-speaking LEP persons.

[Specialized outpatient care in the Unified Health System: how to fill a void].

PubMed

Tesser, Charles Dalcanale; Poli, Paulo

2017-03-01

The structuring of specialized outpatient care is a bottleneck in the operation of the Unified Health System. Based on a brief discussion about this void in an organizational model, we propose the federal induction of a format of specialized services from the experiences of Centers of Support for Family Health (NASF). They adapted matrix operations and constitute an excellent prototype for the organization of specialized outpatient care. It allows for equal access and maximum proximity to the specialized care of the reality of primary care users, the personal relationship and the close relationship between the family health teams and medical and non-medical specialists, enabling mutual lifelong learning, negotiated regulation and increased efficacy of primary care. Municipal experiences of Florianopolis and Curitiba are synthesized as partial examples of the proposal. the structure of care in mental health of Florianópolis, all organized as a matrix support is briefly described; and we focus on the change in the action of the support teams of Curitiba, which gradually began to engage, involve and mediate the relationship between basic and specialized care. This format can be expanded to most medical specialties.

Meta-analysis comparing deep brain stimulation of the globus pallidus and subthalamic nucleus to treat advanced Parkinson disease.

PubMed

Liu, Yi; Li, Weina; Tan, Changhong; Liu, Xi; Wang, Xin; Gui, Yuejiang; Qin, Lu; Deng, Fen; Hu, Changlin; Chen, Lifen

2014-09-01

Deep brain stimulation (DBS) is the surgical procedure of choice for patients with advanced Parkinson disease (PD). The globus pallidus internus (GPi) and the subthalamic nucleus (STN) are commonly targeted by this procedure. The purpose of this meta-analysis was to compare the efficacy of DBS in each region. MEDLINE/PubMed, EMBASE, Web of Knowledge, and the Cochrane Library were searched for English-language studies published before April 2013. of studies investigating the efficacy and clinical outcomes of DBS of the GPi and STN for PD were analyzed. Six eligible trials containing a total of 563 patients were included in the analysis. Deep brain stimulation of the GPi or STN equally improved motor function, measured by the Unified Parkinson's Disease Rating Scale Section III (UPDRSIII) (motor section, for patients in on- and off-medication phases), within 1 year postsurgery. The change score for the on-medication phase was 0.68 (95% CI - 2.12 to 3.47, p > 0.05; 5 studies, 518 patients) and for the off-medication phase was 1.83 (95% CI - 3.12 to 6.77, p > 0.05; 5 studies, 518 patients). The UPDRS Section II (activities of daily living) scores for patients on medication improved equally in both DBS groups (p = 0.97). STN DBS allowed medication dosages to be reduced more than GPi DBS (95% CI 129.27-316.64, p < 0.00001; 5 studies, 540 patients). Psychiatric symptoms, measured by Beck Depression Inventory, 2nd edition scores, showed greater improvement from baseline after GPi DBS than after STN DBS (standardized mean difference -2.28, 95% CI -3.73 to -0.84, p = 0.002; 3 studies, 382 patients). GPi and STN DBS improve motor function and activities of daily living for PD patients. Differences in therapeutic efficacy for PD were not observed between the 2 procedures. STN DBS allowed greater reduction in medication for patients, whereas GPi DBS provided greater relief from psychiatric symptoms. An understanding of other symptomatic aspects of targeting each region and long-term observations on therapeutic effects are needed.

The Importance of Turkish and US Relations: Contributing for Joint Objectives of a Secure Middle East

DTIC Science & Technology

2017-03-31

As a Muslim-majority country that is transitioning from being a secular democratic state toward its Islamic roots, a member of NATO, and a long...being a secular democratic state toward its Islamic roots, a member of NATO, and a long-standing US ally, Turkey is pivotal to the US strategy to shape...productive country needed education, so Kemal advocated a unified school system with secular, Turkish language schools.2 Under Mustafa Kemal’s leadership

Decomposing dendrophilia. Comment on “Toward a computational framework for cognitive biology: Unifying approaches from cognitive neuroscience and comparative cognition” by W. Tecumseh Fitch

NASA Astrophysics Data System (ADS)

Honing, Henkjan; Zuidema, Willem

2014-09-01

The future of cognitive science will be about bridging neuroscience and behavioral studies, with essential roles played by comparative biology, formal modeling, and the theory of computation. Nowhere will this integration be more strongly needed than in understanding the biological basis of language and music. We thus strongly sympathize with the general framework that Fitch [1] proposes, and welcome the remarkably broad and readable review he presents to support it.

Graphical User Interface for an Observing Control System for the UK Infrared Telescope

NASA Astrophysics Data System (ADS)

Tan, M.; Bridger, A.; Wright, G. S.; Adamson, A. J.; Currie, M. J.; Economou, F.

A Graphical user interface for the observing control system of UK Infrared Telescope has been developed as a part of the ORAC (Observatory Reduction and Acquisition Control) Project. We analyzed and designed the system using the Unified Modelling Language (UML) with the CASE tool Rational Rose 98. The system has been implemented in a modular way with Java packages using Swing and RMI. This system is component-based with pluggability. Object orientation concepts and UML notations have been applied throughout the development.

Representing and computing regular languages on massively parallel networks

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

Miller, M.I.; O'Sullivan, J.A.; Boysam, B.

1991-01-01

This paper proposes a general method for incorporating rule-based constraints corresponding to regular languages into stochastic inference problems, thereby allowing for a unified representation of stochastic and syntactic pattern constraints. The authors' approach first established the formal connection of rules to Chomsky grammars, and generalizes the original work of Shannon on the encoding of rule-based channel sequences to Markov chains of maximum entropy. This maximum entropy probabilistic view leads to Gibb's representations with potentials which have their number of minima growing at precisely the exponential rate that the language of deterministically constrained sequences grow. These representations are coupled to stochasticmore » diffusion algorithms, which sample the language-constrained sequences by visiting the energy minima according to the underlying Gibbs' probability law. The coupling to stochastic search methods yields the all-important practical result that fully parallel stochastic cellular automata may be derived to generate samples from the rule-based constraint sets. The production rules and neighborhood state structure of the language of sequences directly determines the necessary connection structures of the required parallel computing surface. Representations of this type have been mapped to the DAP-510 massively-parallel processor consisting of 1024 mesh-connected bit-serial processing elements for performing automated segmentation of electron-micrograph images.« less

MLM Builder: An Integrated Suite for Development and Maintenance of Arden Syntax Medical Logic Modules

PubMed Central

Sailors, R. Matthew

1997-01-01

The Arden Syntax specification for sharable computerized medical knowledge bases has not been widely utilized in the medical informatics community because of a lack of tools for developing Arden Syntax knowledge bases (Medical Logic Modules). The MLM Builder is a Microsoft Windows-hosted CASE (Computer Aided Software Engineering) tool designed to aid in the development and maintenance of Arden Syntax Medical Logic Modules (MLMs). The MLM Builder consists of the MLM Writer (an MLM generation tool), OSCAR (an anagram of Object-oriented ARden Syntax Compiler), a test database, and the MLManager (an MLM management information system). Working together, these components form a self-contained, unified development environment for the creation, testing, and maintenance of Arden Syntax Medical Logic Modules.

Tuberculosis-Diagnostic Expert System: an architecture for translating patients information from the web for use in tuberculosis diagnosis.

PubMed

Osamor, Victor C; Azeta, Ambrose A; Ajulo, Oluseyi O

2014-12-01

Over 1.5-2 million tuberculosis deaths occur annually. Medical professionals are faced with a lot of challenges in delivering good health-care with unassisted automation in hospitals where there are several patients who need the doctor's attention. To automate the pre-laboratory screening process against tuberculosis infection to aid diagnosis and make it fast and accessible to the public via the Internet. The expert system we have built is designed to also take care of people who do not have access to medical experts, but would want to check their medical status. A rule-based approach has been used, and unified modeling language and the client-server architecture technique were applied to model the system and to develop it as a web-based expert system for tuberculosis diagnosis. Algorithmic rules in the Tuberculosis-Diagnosis Expert System necessitate decision coverage where tuberculosis is either suspected or not suspected. The architecture consists of a rule base, knowledge base, and patient database. These units interact with the inference engine, which receives patient' data through the Internet via a user interface. We present the architecture of the Tuberculosis-Diagnosis Expert System and its implementation. We evaluated it for usability to determine the level of effectiveness, efficiency and user satisfaction. The result of the usability evaluation reveals that the system has a usability of 4.08 out of a scale of 5. This is an indication of a more-than-average system performance. Several existing expert systems have been developed for the purpose of supporting different medical diagnoses, but none is designed to translate tuberculosis patients' symptomatic data for online pre-laboratory screening. Our Tuberculosis-Diagnosis Expert System is an effective solution for the implementation of the needed web-based expert system diagnosis. © The Author(s) 2013.

Self-reported study habits for enhancing medical students’ performance in the National Medical Unified Examination

PubMed Central

Idris, Amr; Al Saadi, Tareq; Edris, Basel; Sawaf, Bisher; Zakaria, Mhd. Ismael; Alkhatib, Mahmoud; Turk, Tarek

2016-01-01

Background: The National Medical Unified Examination (NMUE) is currently required for graduation, joining postgraduate medical training, and practicing medicine in Syria. Objective: To investigate self-reported study habits that correlate with high performance on the NMUE. Methods: First through 3rd year residents at the three main hospitals in Damascus, Syria, were asked to complete a retrospective cross-sectional survey investigating their study habits and previous scores. Results: Significantly higher score was associated with >15 study h/day and allocating 1–40% of study time for practicing questions. Mean NMUE score was not significantly different in relation to preparation months for examination or for those who reported spending all their time studying alone compared with spending any amount of time in a group setting. Scores of 231–240 on the Syrian scientific high school exam correlated with significantly higher NMUE performance compared with fewer scores, except scores of 221–230. For every 10 point increase in medical school cumulative grades, the NMUE score increased 3.6 (95% confidence interval 2.5–4.8). Conclusion: The NMUE score was significantly affected by hours spent studying per day, number of practice questions completed, percentage of study time allocated for doing questions, Syrian scientific high school exam scores, and the cumulative medical school class grades. It was not significantly affected by preparation months or studying in a group setting. More studies are needed to further describe and investigate the factors that might affect performance in the NMUE. PMID:27144140

Using Competency-Based Digital Open Learning Activities to Facilitate and Promote Health Professions Education (OLAmeD): A Proposal

PubMed Central

Barman, Linda

2016-01-01

Background Traditional learning in medical education has been transformed with the advent of information technology. We have recently seen global initiatives to produce online activities in an effort to scale up learning opportunities through learning management systems and massive open online courses for both undergraduate and continued professional education. Despite the positive impact of such efforts, factors such as cost, time, resources, and the specificity of educational contexts restrict the design and exchange of online medical educational activities. Objective The goal is to address the stated issues within the health professions education context while promoting learning by proposing the Online Learning Activities for Medical Education (OLAmeD) concept which builds on unified competency frameworks and generic technical standards for education. Methods We outline how frameworks used to describe a set of competencies for a specific topic in medical education across medical schools in the United States and Europe can be compared to identify commonalities that could result in a unified set of competencies representing both contexts adequately. Further, we examine how technical standards could be used to allow standardization, seamless sharing, and reusability of educational content. Results The entire process of developing and sharing OLAmeD is structured and presented in a set of steps using as example Urology as a part of clinical surgery specialization. Conclusions Beyond supporting the development, sharing, and repurposing of educational content, we expect OLAmeD to work as a tool that promotes learning and sets a base for a community of medical educational content developers across different educational contexts. PMID:27390226

Using Competency-Based Digital Open Learning Activities to Facilitate and Promote Health Professions Education (OLAmeD): A Proposal.

PubMed

Vaitsis, Christos; Stathakarou, Natalia; Barman, Linda; Zary, Nabil; McGrath, Cormac

2016-07-07

Traditional learning in medical education has been transformed with the advent of information technology. We have recently seen global initiatives to produce online activities in an effort to scale up learning opportunities through learning management systems and massive open online courses for both undergraduate and continued professional education. Despite the positive impact of such efforts, factors such as cost, time, resources, and the specificity of educational contexts restrict the design and exchange of online medical educational activities. The goal is to address the stated issues within the health professions education context while promoting learning by proposing the Online Learning Activities for Medical Education (OLAmeD) concept which builds on unified competency frameworks and generic technical standards for education. We outline how frameworks used to describe a set of competencies for a specific topic in medical education across medical schools in the United States and Europe can be compared to identify commonalities that could result in a unified set of competencies representing both contexts adequately. Further, we examine how technical standards could be used to allow standardization, seamless sharing, and reusability of educational content. The entire process of developing and sharing OLAmeD is structured and presented in a set of steps using as example Urology as a part of clinical surgery specialization. Beyond supporting the development, sharing, and repurposing of educational content, we expect OLAmeD to work as a tool that promotes learning and sets a base for a community of medical educational content developers across different educational contexts.

The New Face of Data Accessibility

NASA Technical Reports Server (NTRS)

Fitts, Mary A.; VanBaalan, Mary; Johnson-Throop, Kathy A.; Thomas, Deidre; Havelka, Jacque

2010-01-01

Management of medical and research data at NASA's Johnson Space Center has been addressed with two separate, independent systems: the Lifetime Surveillance of Astronaut Health (formerly, The Longitudinal Study of Astronaut Health) (LSAH) and the Life Sciences Data Archive (LSDA). Project management for these has been autonomous with little or no cross-over of goals, objectives or strategy. The result has been limited debate and discussion regarding how contents from one repository might impact or guide the direction of the other. It is decidedly more efficient to use existing data and information than to re-generate them. Ensuring that both clinical and research data / information are accessible for review is a central concept to the decision to unify these repositories. In the past, research data from flight and ground analogs has been held in the LSDA and medical data held in the Electronic Medical Record or in console flight surgeon logs and records. There was little cross-pollination between medical and research findings and, as a result, applicable research was not being fully incorporated into clinical, in-flight practice. Conversely, findings by the console surgeon were not being picked up by the research community. The desired life cycle for risk mitigation was not being fully realized. The goal of unifying these repositories and processes is to provide a closely knit approach to handling medical and research data, which will not only engender discussion and debate but will also ensure that both categories of data and information are used to enhance the use of medical and research data to reduce risk and promote the understanding of space physiology, countermeasures and other mitigation strategies

Building Languages

MedlinePlus

... Support Services Technology and Audiology Medical and Surgical Solutions Putting it all Together Building Language American Sign Language (ASL) Conceptually Accurate Signed English (CASE) Cued Speech Finger Spelling Listening/Auditory Training ...

Impact of Article Language in Multi-Language Medical Journals - a Bibliometric Analysis of Self-Citations and Impact Factor

PubMed Central

Diekhoff, Torsten; Schlattmann, Peter; Dewey, Marc

2013-01-01

Background In times of globalization there is an increasing use of English in the medical literature. The aim of this study was to analyze the influence of English-language articles in multi-language medical journals on their international recognition – as measured by a lower rate of self-citations and higher impact factor (IF). Methods and Findings We analyzed publications in multi-language journals in 2008 and 2009 using the Web of Science (WoS) of Thomson Reuters (former Institute of Scientific Information) and PubMed as sources of information. The proportion of English-language articles during the period was compared with both the share of self-citations in the year 2010 and the IF with and without self-citations. Multivariable linear regression analysis was performed to analyze these factors as well as the influence of the journals‘ countries of origin and of the other language(s) used in publications besides English. We identified 168 multi-language journals that were listed in WoS as well as in PubMed and met our criteria. We found a significant positive correlation of the share of English articles in 2008 and 2009 with the IF calculated without self-citations (Pearson r=0.56, p = <0.0001), a correlation with the overall IF (Pearson r = 0.47, p = <0.0001) and with the cites to years of IF calculation (Pearson r = 0.34, p = <0.0001), and a weak negative correlation with the share of self-citations (Pearson r = -0.2, p = 0.009). The IF without self-citations also correlated with the journal‘s country of origin – North American journals had a higher IF compared to Middle and South American or European journals. Conclusion Our findings suggest that a larger share of English articles in multi-language medical journals is associated with greater international recognition. Fewer self-citations were found in multi-language journals with a greater share of original articles in English. PMID:24146929

Generalizing the Arden Syntax to a Common Clinical Application Language.

PubMed

Kraus, Stefan

2018-01-01

The Arden Syntax for Medical Logic Systems is a standard for encoding and sharing knowledge in the form of Medical Logic Modules (MLMs). Although the Arden Syntax has been designed to meet the requirements of data-driven clinical event monitoring, multiple studies suggest that its language constructs may be suitable for use outside the intended application area and even as a common clinical application language. Such a broader context, however, requires to reconsider some language features. The purpose of this paper is to outline the related modifications on the basis of a generalized Arden Syntax version. The implemented prototype provides multiple adjustments to the standard, such as an option to use programming language constructs without the frame-like MLM structure, a JSON compliant data type system, a means to use MLMs as user-defined functions, and native support of restful web services with integrated data mapping. This study does not aim to promote an actually new language, but a more generic version of the proven Arden Syntax standard. Such an easy-to-understand domain-specific language for common clinical applications might cover multiple additional medical subdomains and serve as a lingua franca for arbitrary clinical algorithms, therefore avoiding a patchwork of multiple all-purpose languages between, and even within, institutions.

Cannabis (medical marijuana) treatment for motor and non-motor symptoms of Parkinson disease: an open-label observational study.

PubMed

Lotan, Itay; Treves, Therese A; Roditi, Yaniv; Djaldetti, Ruth

2014-01-01

The use of cannabis as a therapeutic agent for various medical conditions has been well documented. However, clinical trials in patients with Parkinson disease (PD) have yielded conflicting results. The aim of the present open-label observational study was to assess the clinical effect of cannabis on motor and non-motor symptoms of PD. Twenty-two patients with PD attending the motor disorder clinic of a tertiary medical center in 2011 to 2012 were evaluated at baseline and 30 minutes after smoking cannabis using the following battery: Unified Parkinson Disease Rating Scale, visual analog scale, present pain intensity scale, Short-Form McGill Pain Questionnaire, as well as Medical Cannabis Survey National Drug and Alcohol Research Center Questionnaire. Mean (SD) total score on the motor Unified Parkinson Disease Rating Scale score improved significantly from 33.1 (13.8) at baseline to 23.2 (10.5) after cannabis consumption (t = 5.9; P < 0.001). Analysis of specific motor symptoms revealed significant improvement after treatment in tremor (P < 0.001), rigidity (P = 0.004), and bradykinesia (P < 0.001). There was also significant improvement of sleep and pain scores. No significant adverse effects of the drug were observed. The study suggests that cannabis might have a place in the therapeutic armamentarium of PD. Larger, controlled studies are needed to verify the results.

Medical Device Integration Model Based on the Internet of Things

PubMed Central

Hao, Aiyu; Wang, Ling

2015-01-01

At present, hospitals in our country have basically established the HIS system, which manages registration, treatment, and charge, among many others, of patients. During treatment, patients need to use medical devices repeatedly to acquire all sorts of inspection data. Currently, the output data of the medical devices are often manually input into information system, which is easy to get wrong or easy to cause mismatches between inspection reports and patients. For some small hospitals of which information construction is still relatively weak, the information generated by the devices is still presented in the form of paper reports. When doctors or patients want to have access to the data at a given time again, they can only look at the paper files. Data integration between medical devices has long been a difficult problem for the medical information system, because the data from medical devices are lack of mandatory unified global standards and have outstanding heterogeneity of devices. In order to protect their own interests, manufacturers use special protocols, etc., thus causing medical decices to still be the "lonely island" of hospital information system. Besides, unfocused application of the data will lead to failure to achieve a reasonable distribution of medical resources. With the deepening of IT construction in hospitals, medical information systems will be bound to develop towards mobile applications, intelligent analysis, and interconnection and interworking, on the premise that there is an effective medical device integration (MDI) technology. To this end, this paper presents a MDI model based on the Internet of Things (IoT). Through abstract classification, this model is able to extract the common characteristics of the devices, resolve the heterogeneous differences between them, and employ a unified protocol to integrate data between devices. And by the IoT technology, it realizes interconnection network of devices and conducts associate matching between the data and the inspected at the device terminal in a timely manner. PMID:26628938

Medical Device Integration Model Based on the Internet of Things.

PubMed

Hao, Aiyu; Wang, Ling

2015-01-01

At present, hospitals in our country have basically established the HIS system, which manages registration, treatment, and charge, among many others, of patients. During treatment, patients need to use medical devices repeatedly to acquire all sorts of inspection data. Currently, the output data of the medical devices are often manually input into information system, which is easy to get wrong or easy to cause mismatches between inspection reports and patients. For some small hospitals of which information construction is still relatively weak, the information generated by the devices is still presented in the form of paper reports. When doctors or patients want to have access to the data at a given time again, they can only look at the paper files. Data integration between medical devices has long been a difficult problem for the medical information system, because the data from medical devices are lack of mandatory unified global standards and have outstanding heterogeneity of devices. In order to protect their own interests, manufacturers use special protocols, etc., thus causing medical decices to still be the "lonely island" of hospital information system. Besides, unfocused application of the data will lead to failure to achieve a reasonable distribution of medical resources. With the deepening of IT construction in hospitals, medical information systems will be bound to develop towards mobile applications, intelligent analysis, and interconnection and interworking, on the premise that there is an effective medical device integration (MDI) technology. To this end, this paper presents a MDI model based on the Internet of Things (IoT). Through abstract classification, this model is able to extract the common characteristics of the devices, resolve the heterogeneous differences between them, and employ a unified protocol to integrate data between devices. And by the IoT technology, it realizes interconnection network of devices and conducts associate matching between the data and the inspected at the device terminal in a timely manner.

Western medical ethics taught to junior medical students can cross cultural and linguistic boundaries.

PubMed

Ypinazar, Valmae A; Margolis, Stephen A

2004-07-30

Little is known about teaching medical ethics across cultural and linguistic boundaries. This study examined two successive cohorts of first year medical students in a six year undergraduate MBBS program. The objective was to investigate whether Arabic speaking students studying medicine in an Arabic country would be able to correctly identify some of the principles of Western medical ethical reasoning. This cohort study was conducted on first year students in a six-year undergraduate program studying medicine in English, their second language at a medical school in the Arabian Gulf. The ethics teaching was based on the four-principle approach (autonomy, beneficence, non-malfeasance and justice) and delivered by a non-Muslim native English speaker with no knowledge of the Arabic language. Although the course was respectful of Arabic culture and tradition, the content excluded an analysis of Islamic medical ethics and focused on Western ethical reasoning. Following two 45-minute interactive seminars, students in groups of 3 or 4 visited a primary health care centre for one morning, sitting in with an attending physician seeing his or her patients in Arabic. Each student submitted a personal report for summative assessment detailing the ethical issues they had observed. All 62 students enrolled in these courses participated. Each student acting independently was able to correctly identify a median number of 4 different medical ethical issues (range 2-9) and correctly identify and label accurately a median of 2 different medical ethical issues (range 2-7) There were no significant correlations between their English language skills or general academic ability and the number or accuracy of ethical issues identified. This study has demonstrated that these students could identify medical ethical issues based on Western constructs, despite learning in English, their second language, being in the third week of their medical school experience and with minimal instruction. This result was independent of their academic and English language skills suggesting that ethical principles as espoused in the four principal approach may be common to the students' Islamic religious beliefs, allowing them to access complex medical ethical reasoning skills at an early stage in the medical curriculum.

Western medical ethics taught to junior medical students can cross cultural and linguistic boundaries

PubMed Central

Ypinazar, Valmae A; Margolis, Stephen A

2004-01-01

Background Little is known about teaching medical ethics across cultural and linguistic boundaries. This study examined two successive cohorts of first year medical students in a six year undergraduate MBBS program. Methods The objective was to investigate whether Arabic speaking students studying medicine in an Arabic country would be able to correctly identify some of the principles of Western medical ethical reasoning. This cohort study was conducted on first year students in a six-year undergraduate program studying medicine in English, their second language at a medical school in the Arabian Gulf. The ethics teaching was based on the four-principle approach (autonomy, beneficence, non-malfeasance and justice) and delivered by a non-Muslim native English speaker with no knowledge of the Arabic language. Although the course was respectful of Arabic culture and tradition, the content excluded an analysis of Islamic medical ethics and focused on Western ethical reasoning. Following two 45-minute interactive seminars, students in groups of 3 or 4 visited a primary health care centre for one morning, sitting in with an attending physician seeing his or her patients in Arabic. Each student submitted a personal report for summative assessment detailing the ethical issues they had observed. Results All 62 students enrolled in these courses participated. Each student acting independently was able to correctly identify a median number of 4 different medical ethical issues (range 2–9) and correctly identify and label accurately a median of 2 different medical ethical issues (range 2–7) There were no significant correlations between their English language skills or general academic ability and the number or accuracy of ethical issues identified. Conclusions This study has demonstrated that these students could identify medical ethical issues based on Western constructs, despite learning in English, their second language, being in the third week of their medical school experience and with minimal instruction. This result was independent of their academic and English language skills suggesting that ethical principles as espoused in the four principal approach may be common to the students' Islamic religious beliefs, allowing them to access complex medical ethical reasoning skills at an early stage in the medical curriculum. PMID:15283868

Education for the unified health system: what do good professors do from the perspective of students?

PubMed

Carmo Menegaz, Jouhanna do; Schubert Backes, Vânia Marli

2015-12-01

to analyze the educational practices for the Unified Health System performed by good professors, from the perspective of nursing, medical and odontology students, based on the Shulman's concepts of knowledge of educational ends, purposes, values ​​and their historical and philosophical grounds, at a university in southern Brazil. A qualitative study with an exploratory and analytical approach in which the participants were graduating students, interviewed with the aid of vignettes, between October of 2011 and January of 2012. Data were analyzed based on thematic analysis. it was observed that good professors educate for the Unified Health System through the promotion of teamwork, interdisciplinary practices, good communication, leadership exercises, and promotion of a student's desire to be an agent of change for the sake of improvement and guaranteeing the right to health. the students attribute to professors the responsibility for the performance of these practices. Despite their consistency with the Brazilian curriculum guidelines, the professors that perform them are seen as a minority.

Dynamical and Mechanistic Reconstructive Approaches of T Lymphocyte Dynamics: Using Visual Modeling Languages to Bridge the Gap between Immunologists, Theoreticians, and Programmers

PubMed Central

Thomas-Vaslin, Véronique; Six, Adrien; Ganascia, Jean-Gabriel; Bersini, Hugues

2013-01-01

Dynamic modeling of lymphocyte behavior has primarily been based on populations based differential equations or on cellular agents moving in space and interacting each other. The final steps of this modeling effort are expressed in a code written in a programing language. On account of the complete lack of standardization of the different steps to proceed, we have to deplore poor communication and sharing between experimentalists, theoreticians and programmers. The adoption of diagrammatic visual computer language should however greatly help the immunologists to better communicate, to more easily identify the models similarities and facilitate the reuse and extension of existing software models. Since immunologists often conceptualize the dynamical evolution of immune systems in terms of “state-transitions” of biological objects, we promote the use of unified modeling language (UML) state-transition diagram. To demonstrate the feasibility of this approach, we present a UML refactoring of two published models on thymocyte differentiation. Originally built with different modeling strategies, a mathematical ordinary differential equation-based model and a cellular automata model, the two models are now in the same visual formalism and can be compared. PMID:24101919

Applying Semantic-based Probabilistic Context-Free Grammar to Medical Language Processing – A Preliminary Study on Parsing Medication Sentences

PubMed Central

Xu, Hua; AbdelRahman, Samir; Lu, Yanxin; Denny, Joshua C.; Doan, Son

2011-01-01

Semantic-based sublanguage grammars have been shown to be an efficient method for medical language processing. However, given the complexity of the medical domain, parsers using such grammars inevitably encounter ambiguous sentences, which could be interpreted by different groups of production rules and consequently result in two or more parse trees. One possible solution, which has not been extensively explored previously, is to augment productions in medical sublanguage grammars with probabilities to resolve the ambiguity. In this study, we associated probabilities with production rules in a semantic-based grammar for medication findings and evaluated its performance on reducing parsing ambiguity. Using the existing data set from 2009 i2b2 NLP (Natural Language Processing) challenge for medication extraction, we developed a semantic-based CFG (Context Free Grammar) for parsing medication sentences and manually created a Treebank of 4,564 medication sentences from discharge summaries. Using the Treebank, we derived a semantic-based PCFG (probabilistic Context Free Grammar) for parsing medication sentences. Our evaluation using a 10-fold cross validation showed that the PCFG parser dramatically improved parsing performance when compared to the CFG parser. PMID:21856440

My Tryst of Writing and Publishing a Comprehensive Medical Textbook in Vernacular Hindi and New Hindi Medical Terminology.

PubMed

Goel, Trilok Chandra; Goel, Apul; Kumar, Sandeep

2018-04-01

In India, although the native language is not English but the medical education is imparted in English. The authors have written a textbook of surgery in Hindi with the intention of promoting the understanding of surgery and encouraging reflective and deep learning for students whose native language is Hindi. In this article, the authors share experiences of writing such a book, the reasons for the same and also discuss the creation of new medical nomenclature in Hindi.

Evaluation of Controlled Vocabulary Resources for Development of a Consumer Entry Vocabulary for Diabetes

PubMed Central

Monga, Harpreet K; Sievert, MaryEllen C; Hall, Joan Houston; Longo, Daniel R

2001-01-01

Background Digital information technology can facilitate informed decision making by individuals regarding their personal health care. The digital divide separates those who do and those who do not have access to or otherwise make use of digital information. To close the digital divide, health care communications research must address a fundamental issue, the consumer vocabulary problem: consumers of health care, at least those who are laypersons, are not always familiar with the professional vocabulary and concepts used by providers of health care and by providers of health care information, and, conversely, health care and health care information providers are not always familiar with the vocabulary and concepts used by consumers. One way to address this problem is to develop a consumer entry vocabulary for health care communications. Objectives To evaluate the potential of controlled vocabulary resources for supporting the development of consumer entry vocabulary for diabetes. Methods We used folk medical terms from the Dictionary of American Regional English project to create exended versions of 3 controlled vocabulary resources: the Unified Medical Language System Metathesaurus, the Eurodicautom of the European Commission's Translation Service, and the European Commission Glossary of popular and technical medical terms. We extracted consumer terms from consumer-authored materials, and physician terms from physician-authored materials. We used our extended versions of the vocabulary resources to link diabetes-related terms used by health care consumers to synonymous, nearly-synonymous, or closely-related terms used by family physicians. We also examined whether retrieval of diabetes-related World Wide Web information sites maintained by nonprofit health care professional organizations, academic organizations, or governmental organizations can be improved by substituting a physician term for its related consumer term in the query. Results The Dictionary of American Regional English extension of the Metathesaurus provided coverage, either direct or indirect, of approximately 23% of the natural language consumer-term-physician-term pairs. The Dictionary of American Regional English extension of the Eurodicautom provided coverage for 16% of the term pairs. Both the Metathesaurus and the Eurodicautom indirectly related more terms than they directly related. A high percentage of covered term pairs, with more indirectly covered pairs than directly covered pairs, might be one way to make the most out of expensive controlled vocabulary resources. We compared retrieval of diabetes-related Web information sites using the physician terms to retrieval using related consumer terms We based the comparison on retrieval of sites maintained by non-profit healthcare professional organizations, academic organizations, or governmental organizations. The number of such sites in the first 20 results from a search was increased by substituting a physician term for its related consumer term in the query. This suggests that the Dictionary of American Regional English extensions of the Metathesaurus and Eurodicautom may be used to provide useful links from natural language consumer terms to natural language physician terms. Conclusions The Dictionary of American Regional English extensions of the Metathesaurus and Eurodicautom should be investigated further for support of consumer entry vocabulary for diabetes. PMID:11720966

CLAIM (CLinical Accounting InforMation)--an XML-based data exchange standard for connecting electronic medical record systems to patient accounting systems.

PubMed

Guo, Jinqiu; Takada, Akira; Tanaka, Koji; Sato, Junzo; Suzuki, Muneou; Takahashi, Kiwamu; Daimon, Hiroyuki; Suzuki, Toshiaki; Nakashima, Yusei; Araki, Kenji; Yoshihara, Hiroyuki

2005-08-01

With the evolving and diverse electronic medical record (EMR) systems, there appears to be an ever greater need to link EMR systems and patient accounting systems with a standardized data exchange format. To this end, the CLinical Accounting InforMation (CLAIM) data exchange standard was developed. CLAIM is subordinate to the Medical Markup Language (MML) standard, which allows the exchange of medical data among different medical institutions. CLAIM uses eXtensible Markup Language (XML) as a meta-language. The current version, 2.1, inherited the basic structure of MML 2.x and contains two modules including information related to registration, appointment, procedure and charging. CLAIM 2.1 was implemented successfully in Japan in 2001. Consequently, it was confirmed that CLAIM could be used as an effective data exchange format between EMR systems and patient accounting systems.

Proper use of medical language: Main problems and solutions.

PubMed

Aleixandre-Benavent, R; Valderrama Zurián, J C; Bueno-Cañigral, F J

2015-10-01

Medical language should be characterized by its precision, emotional neutrality and stability. The effective communication of results of scientific studies depends on compliance with current standards of drafting and style; texts with defects can hinder interest in the findings. In this study, we discuss some of the most common problems and errors in medical language, including the abuse of abbreviations and foreign words, the use of improper words, syntax errors and solecisms, the most common errors in titles and the abuse of capital letters and the gerund. Investigators have effective tools for dealing with these problems, such as quality texts, critical dictionaries of questions and difficulties with the Spanish language and various drafting and style manuals. Copyright © 2015 Elsevier España, S.L.U. y Sociedad Española de Medicina Interna (SEMI). All rights reserved.

Unifying Model-Based and Reactive Programming within a Model-Based Executive

NASA Technical Reports Server (NTRS)

Williams, Brian C.; Gupta, Vineet; Norvig, Peter (Technical Monitor)

1999-01-01

Real-time, model-based, deduction has recently emerged as a vital component in AI's tool box for developing highly autonomous reactive systems. Yet one of the current hurdles towards developing model-based reactive systems is the number of methods simultaneously employed, and their corresponding melange of programming and modeling languages. This paper offers an important step towards unification. We introduce RMPL, a rich modeling language that combines probabilistic, constraint-based modeling with reactive programming constructs, while offering a simple semantics in terms of hidden state Markov processes. We introduce probabilistic, hierarchical constraint automata (PHCA), which allow Markov processes to be expressed in a compact representation that preserves the modularity of RMPL programs. Finally, a model-based executive, called Reactive Burton is described that exploits this compact encoding to perform efficIent simulation, belief state update and control sequence generation.

Dynamics simulation and controller interfacing for legged robots

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

Reichler, J.A.; Delcomyn, F.

2000-01-01

Dynamics simulation can play a critical role in the engineering of robotic control code, and there exist a variety of strategies both for building physical models and for interacting with these models. This paper presents an approach to dynamics simulation and controller interfacing for legged robots, and contrasts it to existing approaches. The authors describe dynamics algorithms and contact-resolution strategies for multibody articulated mobile robots based on the decoupled tree-structure approach, and present a novel scripting language that provides a unified framework for control-code interfacing, user-interface design, and data analysis. Special emphasis is placed on facilitating the rapid integration ofmore » control algorithms written in a standard object-oriented language (C++), the production of modular, distributed, reusable controllers, and the use of parameterized signal-transmission properties such as delay, sampling rate, and noise.« less

Dynamic mapping of EDDL device descriptions to OPC UA

NASA Astrophysics Data System (ADS)

Atta Nsiah, Kofi; Schappacher, Manuel; Sikora, Axel

2017-07-01

OPC UA (Open Platform Communications Unified Architecture) is already a well-known concept used widely in the automation industry. In the area of factory automation, OPC UA models the underlying field devices such as sensors and actuators in an OPC UA server to allow connecting OPC UA clients to access device-specific information via a standardized information model. One of the requirements of the OPC UA server to represent field device data using its information model is to have advanced knowledge about the properties of the field devices in the form of device descriptions. The international standard IEC 61804 specifies EDDL (Electronic Device Description Language) as a generic language for describing the properties of field devices. In this paper, the authors describe a possibility to dynamically map and integrate field device descriptions based on EDDL into OPCUA.

Automated speech understanding: the next generation

NASA Astrophysics Data System (ADS)

Picone, J.; Ebel, W. J.; Deshmukh, N.

1995-04-01

Modern speech understanding systems merge interdisciplinary technologies from Signal Processing, Pattern Recognition, Natural Language, and Linguistics into a unified statistical framework. These systems, which have applications in a wide range of signal processing problems, represent a revolution in Digital Signal Processing (DSP). Once a field dominated by vector-oriented processors and linear algebra-based mathematics, the current generation of DSP-based systems rely on sophisticated statistical models implemented using a complex software paradigm. Such systems are now capable of understanding continuous speech input for vocabularies of several thousand words in operational environments. The current generation of deployed systems, based on small vocabularies of isolated words, will soon be replaced by a new technology offering natural language access to vast information resources such as the Internet, and provide completely automated voice interfaces for mundane tasks such as travel planning and directory assistance.

Towards comprehensive syntactic and semantic annotations of the clinical narrative

PubMed Central

Albright, Daniel; Lanfranchi, Arrick; Fredriksen, Anwen; Styler, William F; Warner, Colin; Hwang, Jena D; Choi, Jinho D; Dligach, Dmitriy; Nielsen, Rodney D; Martin, James; Ward, Wayne; Palmer, Martha; Savova, Guergana K

2013-01-01

Objective To create annotated clinical narratives with layers of syntactic and semantic labels to facilitate advances in clinical natural language processing (NLP). To develop NLP algorithms and open source components. Methods Manual annotation of a clinical narrative corpus of 127 606 tokens following the Treebank schema for syntactic information, PropBank schema for predicate-argument structures, and the Unified Medical Language System (UMLS) schema for semantic information. NLP components were developed. Results The final corpus consists of 13 091 sentences containing 1772 distinct predicate lemmas. Of the 766 newly created PropBank frames, 74 are verbs. There are 28 539 named entity (NE) annotations spread over 15 UMLS semantic groups, one UMLS semantic type, and the Person semantic category. The most frequent annotations belong to the UMLS semantic groups of Procedures (15.71%), Disorders (14.74%), Concepts and Ideas (15.10%), Anatomy (12.80%), Chemicals and Drugs (7.49%), and the UMLS semantic type of Sign or Symptom (12.46%). Inter-annotator agreement results: Treebank (0.926), PropBank (0.891–0.931), NE (0.697–0.750). The part-of-speech tagger, constituency parser, dependency parser, and semantic role labeler are built from the corpus and released open source. A significant limitation uncovered by this project is the need for the NLP community to develop a widely agreed-upon schema for the annotation of clinical concepts and their relations. Conclusions This project takes a foundational step towards bringing the field of clinical NLP up to par with NLP in the general domain. The corpus creation and NLP components provide a resource for research and application development that would have been previously impossible. PMID:23355458

Deriving a probabilistic syntacto-semantic grammar for biomedicine based on domain-specific terminologies

PubMed Central

Fan, Jung-Wei; Friedman, Carol

2011-01-01

Biomedical natural language processing (BioNLP) is a useful technique that unlocks valuable information stored in textual data for practice and/or research. Syntactic parsing is a critical component of BioNLP applications that rely on correctly determining the sentence and phrase structure of free text. In addition to dealing with the vast amount of domain-specific terms, a robust biomedical parser needs to model the semantic grammar to obtain viable syntactic structures. With either a rule-based or corpus-based approach, the grammar engineering process requires substantial time and knowledge from experts, and does not always yield a semantically transferable grammar. To reduce the human effort and to promote semantic transferability, we propose an automated method for deriving a probabilistic grammar based on a training corpus consisting of concept strings and semantic classes from the Unified Medical Language System (UMLS), a comprehensive terminology resource widely used by the community. The grammar is designed to specify noun phrases only due to the nominal nature of the majority of biomedical terminological concepts. Evaluated on manually parsed clinical notes, the derived grammar achieved a recall of 0.644, precision of 0.737, and average cross-bracketing of 0.61, which demonstrated better performance than a control grammar with the semantic information removed. Error analysis revealed shortcomings that could be addressed to improve performance. The results indicated the feasibility of an approach which automatically incorporates terminology semantics in the building of an operational grammar. Although the current performance of the unsupervised solution does not adequately replace manual engineering, we believe once the performance issues are addressed, it could serve as an aide in a semi-supervised solution. PMID:21549857

[Medical publishing in Norway 1905-2005].

PubMed

Nylenna, Magne; Larsen, Øivind

2005-06-02

The nation-building process in Norway took mainly place before the Norwegian-Swedish union came to a close in 1905. This was not a dramatic change, though the end of the union did bring a lift to Norwegian national consciousness. In 1905 there were three general medical journals in Norway and approximately 1200 doctors. German was the most important language of international science, but most scientific publishing was done in Norwegian. After the Second World War, English became the dominating language of scientific communication. Twentieth-century medicine and medical publishing was an era of specialisation and internationalisation. Norwegian medicine has to a large extent been internationalised through Nordic cooperation, with the Nordic specialist journals being of particular importance. With increasing professionalism in research, international English-language journals have become the major channels of communication, though several Norwegian-language journals (on paper or on the internet) have been established and are of crucial importance to a national identity within medical specialties. In 2005 there is only one general medical journal in Norwegian, in a country with approximately 20,000 doctors. A national identity related to medical publishing is not given much attention, though national medicine is still closely tied in with national culture. Good clinical practice should be based on a firm knowledge of local society and local tradition. This is a challenge in contemporary medical publishing.

Medical Logistics Lessons Observed During Operations Enduring Freedom and Iraqi Freedom.

PubMed

Dole, Mark J; Kissane, Jonathan M

2016-01-01

Medical Logistics (MEDLOG) is a function of the Army's integrated System for Health that provides the medical products and specialized logistics services required to deliver health protection and care under all operational conditions. In unified land operations, MEDLOG is an inherent function of Health Service Support (HSS), which also includes casualty care and medical evacuation. This paper focuses on a few key lessons observed during Operations Enduring Freedom and Iraqi Freedom with direct implications for the support of HSS in future operations as envisioned in the Army Operating Concept and the Joint Concept for Health Services. It also examines a few key enablers that helped mitigate these challenges that are not yet fully acknowledged in Army Medical Department doctrine, policy, and planning.

The influence of English proficiency on access to care.

PubMed

Shi, Leiyu; Lebrun, Lydie A; Tsai, Jenna

2009-12-01

The number of individuals with limited English proficiency in the USA is large and rapidly growing. Consequently, addressing language barriers in access to medical care is becoming increasingly important. Previous studies have reported that individuals with limited English proficiency have more difficulty gaining access to care, compared to English-proficient individuals. We assessed the impact of English language proficiency on access to medical care, accounting for health and socioeconomic status, using nationally representative data. Cross-sectional data from the 2006 National Health Interview Survey (n=29,868). The main outcome measures of interest were self-reported delayed medical care, forgone needed care, and visits to a health care professional. In unadjusted analyses, individuals with limited English proficiency were more likely to forgo needed medical care and less likely to have a health care visit, compared to individuals who were proficient in English. There was no significant association between language proficiency and reports of delayed care. After accounting for individuals' health and socioeconomic status, only the relationship between limited English proficiency and health care visits remained statistically significant. Most associations between language proficiency and access to care did not differ across various racial/ethnic groups. Results indicate that the choice of access measure may influence conclusions about language barriers in health care. Given the growing proportion of US residents with limited English proficiency, health care settings need to better address potential language barriers.

Evaluation of a French medical multi-terminology indexer for the manual annotation of natural language medical reports of healthcare-associated infections.

PubMed

Sakji, Saoussen; Gicquel, Quentin; Pereira, Suzanne; Kergourlay, Ivan; Proux, Denys; Darmoni, Stéfan; Metzger, Marie-Hélène

2010-01-01

Surveillance of healthcare-associated infections is essential to prevention. A new collaborative project, namely ALADIN, was launched in January 2009 and aims to develop an automated detection tool based on natural language processing of medical documents. The objective of this study was to evaluate the annotation of natural language medical reports of healthcare-associated infections. A software MS Access application (NosIndex) has been developed to interface ECMT XML answer and manual annotation work. ECMT performances were evaluated by an infection control practitioner (ICP). Precision was evaluated for the 2 modules and recall only for the default module. Exclusion rate was defined as ratio between medical terms not found by ECMT and total number of terms evaluated. The medical discharge summaries were randomly selected in 4 medical wards. From the 247 medical terms evaluated, ECMT proposed 428 and 3,721 codes, respectively for the default and expansion modules. The precision was higher with the default module (P1=0.62) than with the expansion (P2=0.47). Performances of ECMT as support tool for the medical annotation were satisfactory.

Resting-State Functional MR Imaging for Determining Language Laterality in Intractable Epilepsy.

PubMed

DeSalvo, Matthew N; Tanaka, Naoaki; Douw, Linda; Leveroni, Catherine L; Buchbinder, Bradley R; Greve, Douglas N; Stufflebeam, Steven M

2016-10-01

Purpose To measure the accuracy of resting-state functional magnetic resonance (MR) imaging in determining hemispheric language dominance in patients with medically intractable focal epilepsies against the results of an intracarotid amobarbital procedure (IAP). Materials and Methods This study was approved by the institutional review board, and all subjects gave signed informed consent. Data in 23 patients with medically intractable focal epilepsy were retrospectively analyzed. All 23 patients were candidates for epilepsy surgery and underwent both IAP and resting-state functional MR imaging as part of presurgical evaluation. Language dominance was determined from functional MR imaging data by calculating a laterality index (LI) after using independent component analysis. The accuracy of this method was assessed against that of IAP by using a variety of thresholds. Sensitivity and specificity were calculated by using leave-one-out cross validation. Spatial maps of language components were qualitatively compared among each hemispheric language dominance group. Results Measurement of hemispheric language dominance with resting-state functional MR imaging was highly concordant with IAP results, with up to 96% (22 of 23) accuracy, 96% (22 of 23) sensitivity, and 96% (22 of 23) specificity. Composite language component maps in patients with typical language laterality consistently included classic language areas such as the inferior frontal gyrus, the posterior superior temporal gyrus, and the inferior parietal lobule, while those of patients with atypical language laterality also included non-classical language areas such as the superior and middle frontal gyri, the insula, and the occipital cortex. Conclusion Resting-state functional MR imaging can be used to measure language laterality in patients with medically intractable focal epilepsy. (©) RSNA, 2016 Online supplemental material is available for this article.

Resting-State Functional MR Imaging for Determining Language Laterality in Intractable Epilepsy

PubMed Central

Tanaka, Naoaki; Douw, Linda; Leveroni, Catherine L.; Buchbinder, Bradley R.; Greve, Douglas N.; Stufflebeam, Steven M.

2016-01-01

Purpose To measure the accuracy of resting-state functional magnetic resonance (MR) imaging in determining hemispheric language dominance in patients with medically intractable focal epilepsies against the results of an intracarotid amobarbital procedure (IAP). Materials and Methods This study was approved by the institutional review board, and all subjects gave signed informed consent. Data in 23 patients with medically intractable focal epilepsy were retrospectively analyzed. All 23 patients were candidates for epilepsy surgery and underwent both IAP and resting-state functional MR imaging as part of presurgical evaluation. Language dominance was determined from functional MR imaging data by calculating a laterality index (LI) after using independent component analysis. The accuracy of this method was assessed against that of IAP by using a variety of thresholds. Sensitivity and specificity were calculated by using leave-one-out cross validation. Spatial maps of language components were qualitatively compared among each hemispheric language dominance group. Results Measurement of hemispheric language dominance with resting-state functional MR imaging was highly concordant with IAP results, with up to 96% (22 of 23) accuracy, 96% (22 of 23) sensitivity, and 96% (22 of 23) specificity. Composite language component maps in patients with typical language laterality consistently included classic language areas such as the inferior frontal gyrus, the posterior superior temporal gyrus, and the inferior parietal lobule, while those of patients with atypical language laterality also included non-classical language areas such as the superior and middle frontal gyri, the insula, and the occipital cortex. Conclusion Resting-state functional MR imaging can be used to measure language laterality in patients with medically intractable focal epilepsy. © RSNA, 2016 Online supplemental material is available for this article. PMID:27467465

The Effect of English Language on Multiple Choice Question Scores of Thai Medical Students.

PubMed

Phisalprapa, Pochamana; Muangkaew, Wayuda; Assanasen, Jintana; Kunavisarut, Tada; Thongngarm, Torpong; Ruchutrakool, Theera; Kobwanthanakun, Surapon; Dejsomritrutai, Wanchai

2016-04-01

Universities in Thailand are preparing for Thailand's integration into the ASEAN Economic Community (AEC) by increasing the number of tests in English language. English language is not the native language of Thailand Differences in English language proficiency may affect scores among test-takers, even when subject knowledge among test-takers is comparable and may falsely represent the knowledge level of the test-taker. To study the impact of English language multiple choice test questions on test scores of medical students. The final examination of fourth-year medical students completing internal medicine rotation contains 120 multiple choice questions (MCQ). The languages used on the test are Thai and English at a ratio of 3:1. Individual scores of tests taken in both languages were collected and the effect of English language on MCQ was analyzed Individual MCQ scores were then compared with individual student English language proficiency and student grade point average (GPA). Two hundred ninety five fourth-year medical students were enrolled. The mean percentage of MCQ scores in Thai and English were significantly different (65.0 ± 8.4 and 56.5 ± 12.4, respectively, p < 0.001). The correlation between MCQ scores in Thai and English was fair (Spearman's correlation coefficient = 0.41, p < 0.001). Of 295 students, only 73 (24.7%) students scored higher when being tested in English than in Thai language. Students were classified into six grade categories (A, B+, B, C+, C, and D+), which cumulatively measured total internal medicine rotation performance score plus final examination score. MCQ scores from Thai language examination were more closely correlated with total course grades than were the scores from English language examination (Spearman's correlation coefficient = 0.73 (p < 0.001) and 0.53 (p < 0.001), respectively). The gap difference between MCQ scores in both languages was higher in borderline students than in the excellent student group (11.2 ± 11.2 and 7.1 ± 8.2, respectively, p < 0.001). Overall, average student English proficiency score was very high, at 3.71 ± 0.35 from a total of 4.00. Mean student GPA was 3.40 ± 0.33 from a possible 4.00. English language MCQ examination scores were more highly associated with GPA than with English language proficiency. The use of English language multiple choice question test may decrease scores of the fourth-year internal medicine post-rotation final examination, especially those of borderline students.

"Reel" Marketing for Your Movie Collections and Film Resources

ERIC Educational Resources Information Center

Germain, Carol Anne

2012-01-01

Foreign language films generate language acquisition, international cultural films help with global business interactions, medical videos teach students new medical procedures, and movies based on books encourage reading. Films can be instructional as well as FUN! Yet some of these cinematic materials receive little to no attention, not to mention…

MCAT Verbal Reasoning score: less predictive of medical school performance for English language learners.

PubMed

Winegarden, Babbi; Glaser, Dale; Schwartz, Alan; Kelly, Carolyn

2012-09-01

Medical College Admission Test (MCAT) scores are widely used as part of the decision-making process for selecting candidates for admission to medical school. Applicants who learned English as a second language may be at a disadvantage when taking tests in their non-native language. Preliminary research found significant differences between English language learners (ELLs), applicants who learned English after the age of 11 years, and non-ELL examinees on the Verbal Reasoning (VR) sub-test of the MCAT. The purpose of this study was to determine if relationships between VR sub-test scores and measures of medical school performance differed between ELL and non-ELL students. Scores on the MCAT VR sub-test and student performance outcomes (grades, examination scores, and markers of distinction and difficulty) were extracted from University of California San Diego School of Medicine admissions files and the Association of American Medical Colleges database for 924 students who matriculated in 1998-2005 (graduation years 2002-2009). Regression models were fitted to determine whether MCAT VR sub-test scores predicted medical school performance similarly for ELLs and non-ELLs. For several outcomes, including pre-clerkship grades, academic distinction, US Medical Licensing Examination Step 2 Clinical Knowledge scores and two clerkship shelf examinations, ELL status significantly affects the ability of the VR score to predict performance. Higher correlations between VR score and medical school performance emerged for non-ELL students than for ELL students for each of these outcomes. The MCAT VR score should be used with discretion when assessing ELL applicants for admission to medical school. © Blackwell Publishing Ltd 2012.

A Unified Theoretical Framework for Cognitive Sequencing.

PubMed

Savalia, Tejas; Shukla, Anuj; Bapi, Raju S

2016-01-01

The capacity to sequence information is central to human performance. Sequencing ability forms the foundation stone for higher order cognition related to language and goal-directed planning. Information related to the order of items, their timing, chunking and hierarchical organization are important aspects in sequencing. Past research on sequencing has emphasized two distinct and independent dichotomies: implicit vs. explicit and goal-directed vs. habits. We propose a theoretical framework unifying these two streams. Our proposal relies on brain's ability to implicitly extract statistical regularities from the stream of stimuli and with attentional engagement organizing sequences explicitly and hierarchically. Similarly, sequences that need to be assembled purposively to accomplish a goal require engagement of attentional processes. With repetition, these goal-directed plans become habits with concomitant disengagement of attention. Thus, attention and awareness play a crucial role in the implicit-to-explicit transition as well as in how goal-directed plans become automatic habits. Cortico-subcortical loops basal ganglia-frontal cortex and hippocampus-frontal cortex loops mediate the transition process. We show how the computational principles of model-free and model-based learning paradigms, along with a pivotal role for attention and awareness, offer a unifying framework for these two dichotomies. Based on this framework, we make testable predictions related to the potential influence of response-to-stimulus interval (RSI) on developing awareness in implicit learning tasks.

A Unified Theoretical Framework for Cognitive Sequencing

PubMed Central

Savalia, Tejas; Shukla, Anuj; Bapi, Raju S.

2016-01-01

The capacity to sequence information is central to human performance. Sequencing ability forms the foundation stone for higher order cognition related to language and goal-directed planning. Information related to the order of items, their timing, chunking and hierarchical organization are important aspects in sequencing. Past research on sequencing has emphasized two distinct and independent dichotomies: implicit vs. explicit and goal-directed vs. habits. We propose a theoretical framework unifying these two streams. Our proposal relies on brain's ability to implicitly extract statistical regularities from the stream of stimuli and with attentional engagement organizing sequences explicitly and hierarchically. Similarly, sequences that need to be assembled purposively to accomplish a goal require engagement of attentional processes. With repetition, these goal-directed plans become habits with concomitant disengagement of attention. Thus, attention and awareness play a crucial role in the implicit-to-explicit transition as well as in how goal-directed plans become automatic habits. Cortico-subcortical loops basal ganglia-frontal cortex and hippocampus-frontal cortex loops mediate the transition process. We show how the computational principles of model-free and model-based learning paradigms, along with a pivotal role for attention and awareness, offer a unifying framework for these two dichotomies. Based on this framework, we make testable predictions related to the potential influence of response-to-stimulus interval (RSI) on developing awareness in implicit learning tasks. PMID:27917146

The 8-item Morisky Medication Adherence Scale: validation of a Brazilian-Portuguese version in hypertensive adults.

PubMed

de Oliveira-Filho, Alfredo Dias; Morisky, Donald E; Neves, Sabrina Joany Felizardo; Costa, Francisco A; de Lyra, Divaldo Pereira

2014-01-01

The Morisky Medication Adherence Scale (MMAS-8) remains one of the most widely used mechanisms to assess patient adherence. Its translation and testing on languages in addition to English would be very useful in research and in practice. To translate and examine the psychometric properties of the Portuguese version of the structured self-report eight-item Morisky Medication Adherence Scale among patients with hypertension. The study was designed as a cross-sectional survey conducted in six Family Health Units of the Brazilian Unified Health System, in Maceió, between March 2011 and April 2012. After a standard "forward-backward" procedure to translate MMAS-8 into Portuguese, the questionnaire was applied to 937 patients with hypertension. Reliability was tested using a measure of internal consistency (Cronbach's alpha), and test-retest reliability. Validity was confirmed using known groups validity. Three levels of adherence were considered based on the following scores: 0 to <6 (low); 6 to <8 (medium); 8 (high). The mean age of respondents was 57.1 years (SD = 12.7 years), and 71.5% were female. The mean number of prescribed antihypertensives per patient was 1.62 (SD = 0.67). The mean score for the medication adherence scale was 5.78 (SD = 1.88). Moderate internal consistency was found (Cronbach's alpha = 0.682), and test-retest reliability was satisfactory (Spearman's r = 0.928; P < 0.001). A significant relationship between MMAS-8 levels of adherence and BP control (chi-square, 8.281; P = 0.016) was found. 46.0%, 33.6%, and 20.4% of patients had low, medium, and high adherence, respectively. The self-report measure sensitivity, specificity, positive and negative predictive values were 86.1%, 31.2%, 57.4% and 68.3% respectively. Psychometric evaluation of the Portuguese version of the MMAS-8 indicates that it is a reliable and valid measure to detect patients at risk of non-adherence. The MMAS-8 could still be used in routine care to support communication about the medication-taking behavior in hypertensive patients. Copyright © 2014 Elsevier Inc. All rights reserved.

The use of Spanish by medical students and residents at one university hospital.

PubMed

Yawman, Daniel; McIntosh, Scott; Fernandez, Diana; Auinger, Peggy; Allan, Marjorie; Weitzman, Michael

2006-05-01

To describe how medical trainees report communication with Spanish-speaking patients, and to assess trainees' desire to improve their language skills and have those skills formally evaluated. A questionnaire was mailed to all fourth-year medical students and non-first-year residents in family practice, pediatrics, medicine, medicine-pediatrics, emergency medicine, and obstetrics-gynecology at the University of Rochester School of Medicine and Dentistry in 2004 (N = 263). The response rate was 92% (241/263). Each respondent had at least one year of clinical experience at the hospital. Of the 83% (199/241) who reported less than conversational Spanish language skills, 53% had taken a history and/or provided medical advice directly to Spanish-speaking patients without any form of interpretation. When an interpreter was used, professional interpretation services were used less frequently than other forms of interpretation (42% versus 58%, p < .05). Analyses were performed on the 68% (164/241) who reported having at least rudimentary Spanish skills: 85% reported that they would probably or definitely participate in further individual language training, 70% expressed at least possible willingness to have their Spanish formally evaluated, and 80% predicted that it is at least possible that they will use their Spanish as attending physicians. At the time of this study, this hospital's medical students and residents from multiple specialties used inadequate Spanish language skills to provide direct medical care despite the availability of professional interpretation services. Most of these trainees were motivated to improve their Spanish and would welcome evaluation of their language skills.

The role of the speech-language pathologist in home care.

PubMed

Giles, Melanie; Barker, Mary; Hayes, Amanda

2014-06-01

Speech language pathologists play an important role in the care of patients with speech, language, or swallowing difficulties that can result from a variety of medical conditions. This article describes how speech language pathologists assess and treat these conditions and the red flags that suggest a referral to a speech language pathologist is indicated.

Tensor Arithmetic, Geometric and Mathematic Principles of Fluid Mechanics in Implementation of Direct Computational Experiments

NASA Astrophysics Data System (ADS)

Bogdanov, Alexander; Khramushin, Vasily

2016-02-01

The architecture of a digital computing system determines the technical foundation of a unified mathematical language for exact arithmetic-logical description of phenomena and laws of continuum mechanics for applications in fluid mechanics and theoretical physics. The deep parallelization of the computing processes results in functional programming at a new technological level, providing traceability of the computing processes with automatic application of multiscale hybrid circuits and adaptive mathematical models for the true reproduction of the fundamental laws of physics and continuum mechanics.

Education reform for the expansion of mother-tongue education in Ghana

NASA Astrophysics Data System (ADS)

Rosekrans, Kristin; Sherris, Arieh; Chatry-Komarek, Marie

2012-10-01

In 1957 Ghana was the first sub-Saharan colonial nation-state to achieve independence from British rule. The language of literacy instruction, however, remained English throughout most of Ghana's independence, effectively thwarting reading and writing in 11 major and 67 minor indigenous languages in use today. After years of policy shifts, including the intermittent of mother tongue in early childhood schooling to facilitate English language and literacy instruction, prospects for a bold move towards multilingual education have emerged from a coalescence of forces inside and outside of Ghanaian education policy circles. This article discusses how the inertia of a dated language policy and a historic disregard for Ghana's multilingual landscape by the country's own policy makers are being overcome, at least partially, by progressive powers of change, albeit not without challenge. It undertakes an analysis of how a policy environment that supports bilingual education was created in order to implement a comprehensive and innovative multilingual programme, the National Literacy Acceleration Program (NALAP), which was rolled out across the nation's schools in early 2010. Having been involved in the process of designing NALAP, the authors describe the development of standards of learning and materials, as well as innovative aspects of a constructivist teacher education approach. The paper concludes with recommendations for further research, including combining a change process for key stakeholders and randomised language and literacy assessment with social marketing research in a unified approach.

PASTE: patient-centered SMS text tagging in a medication management system.

PubMed

Stenner, Shane P; Johnson, Kevin B; Denny, Joshua C

2012-01-01

To evaluate the performance of a system that extracts medication information and administration-related actions from patient short message service (SMS) messages. Mobile technologies provide a platform for electronic patient-centered medication management. MyMediHealth (MMH) is a medication management system that includes a medication scheduler, a medication administration record, and a reminder engine that sends text messages to cell phones. The object of this work was to extend MMH to allow two-way interaction using mobile phone-based SMS technology. Unprompted text-message communication with patients using natural language could engage patients in their healthcare, but presents unique natural language processing challenges. The authors developed a new functional component of MMH, the Patient-centered Automated SMS Tagging Engine (PASTE). The PASTE web service uses natural language processing methods, custom lexicons, and existing knowledge sources to extract and tag medication information from patient text messages. A pilot evaluation of PASTE was completed using 130 medication messages anonymously submitted by 16 volunteers via a website. System output was compared with manually tagged messages. Verified medication names, medication terms, and action terms reached high F-measures of 91.3%, 94.7%, and 90.4%, respectively. The overall medication name F-measure was 79.8%, and the medication action term F-measure was 90%. Other studies have demonstrated systems that successfully extract medication information from clinical documents using semantic tagging, regular expression-based approaches, or a combination of both approaches. This evaluation demonstrates the feasibility of extracting medication information from patient-generated medication messages.

Automated Detection of Events of Scientific Interest

NASA Technical Reports Server (NTRS)

James, Mark

2007-01-01

A report presents a slightly different perspective of the subject matter of Fusing Symbolic and Numerical Diagnostic Computations (NPO-42512), which appears elsewhere in this issue of NASA Tech Briefs. Briefly, the subject matter is the X-2000 Anomaly Detection Language, which is a developmental computing language for fusing two diagnostic computer programs one implementing a numerical analysis method, the other implementing a symbolic analysis method into a unified event-based decision analysis software system for real-time detection of events. In the case of the cited companion NASA Tech Briefs article, the contemplated events that one seeks to detect would be primarily failures or other changes that could adversely affect the safety or success of a spacecraft mission. In the case of the instant report, the events to be detected could also include natural phenomena that could be of scientific interest. Hence, the use of X- 2000 Anomaly Detection Language could contribute to a capability for automated, coordinated use of multiple sensors and sensor-output-data-processing hardware and software to effect opportunistic collection and analysis of scientific data.

An Application of Artificial Intelligence to the Implementation of Electronic Commerce

NASA Astrophysics Data System (ADS)

Srivastava, Anoop Kumar

In this paper, we present an application of Artificial Intelligence (AI) to the implementation of Electronic Commerce. We provide a multi autonomous agent based framework. Our agent based architecture leads to flexible design of a spectrum of multiagent system (MAS) by distributing computation and by providing a unified interface to data and programs. Autonomous agents are intelligent enough and provide autonomy, simplicity of communication, computation, and a well developed semantics. The steps of design and implementation are discussed in depth, structure of Electronic Marketplace, an ontology, the agent model, and interaction pattern between agents is given. We have developed mechanisms for coordination between agents using a language, which is called Virtual Enterprise Modeling Language (VEML). VEML is a integration of Java and Knowledge Query and Manipulation Language (KQML). VEML provides application programmers with potential to globally develop different kinds of MAS based on their requirements and applications. We have implemented a multi autonomous agent based system called VE System. We demonstrate efficacy of our system by discussing experimental results and its salient features.

Biological Dynamics Markup Language (BDML): an open format for representing quantitative biological dynamics data

PubMed Central

Kyoda, Koji; Tohsato, Yukako; Ho, Kenneth H. L.; Onami, Shuichi

2015-01-01

Motivation: Recent progress in live-cell imaging and modeling techniques has resulted in generation of a large amount of quantitative data (from experimental measurements and computer simulations) on spatiotemporal dynamics of biological objects such as molecules, cells and organisms. Although many research groups have independently dedicated their efforts to developing software tools for visualizing and analyzing these data, these tools are often not compatible with each other because of different data formats. Results: We developed an open unified format, Biological Dynamics Markup Language (BDML; current version: 0.2), which provides a basic framework for representing quantitative biological dynamics data for objects ranging from molecules to cells to organisms. BDML is based on Extensible Markup Language (XML). Its advantages are machine and human readability and extensibility. BDML will improve the efficiency of development and evaluation of software tools for data visualization and analysis. Availability and implementation: A specification and a schema file for BDML are freely available online at http://ssbd.qbic.riken.jp/bdml/. Contact: sonami@riken.jp Supplementary Information: Supplementary data are available at Bioinformatics online. PMID:25414366

Biological Dynamics Markup Language (BDML): an open format for representing quantitative biological dynamics data.

PubMed

Kyoda, Koji; Tohsato, Yukako; Ho, Kenneth H L; Onami, Shuichi

2015-04-01

Recent progress in live-cell imaging and modeling techniques has resulted in generation of a large amount of quantitative data (from experimental measurements and computer simulations) on spatiotemporal dynamics of biological objects such as molecules, cells and organisms. Although many research groups have independently dedicated their efforts to developing software tools for visualizing and analyzing these data, these tools are often not compatible with each other because of different data formats. We developed an open unified format, Biological Dynamics Markup Language (BDML; current version: 0.2), which provides a basic framework for representing quantitative biological dynamics data for objects ranging from molecules to cells to organisms. BDML is based on Extensible Markup Language (XML). Its advantages are machine and human readability and extensibility. BDML will improve the efficiency of development and evaluation of software tools for data visualization and analysis. A specification and a schema file for BDML are freely available online at http://ssbd.qbic.riken.jp/bdml/. Supplementary data are available at Bioinformatics online. © The Author 2014. Published by Oxford University Press.

American Sign Language and Deaf Culture Competency of Osteopathic Medical Students

ERIC Educational Resources Information Center

Lapinsky, Jessica; Colonna, Caitlin; Sexton, Patricia; Richard, Mariah

2015-01-01

The study examined the effectiveness of a workshop on Deaf culture and basic medical American Sign Language for increasing osteopathic student physicians' confidence and knowledge when interacting with ASL-using patients. Students completed a pretest in which they provided basic demographic information, rated their confidence levels, took a video…

Medical Language Processing for Knowledge Representation and Retrievals

PubMed Central

Lyman, Margaret; Sager, Naomi; Chi, Emile C.; Tick, Leo J.; Nhan, Ngo Thanh; Su, Yun; Borst, Francois; Scherrer, Jean-Raoul

1989-01-01

The Linguistic String Project-Medical Language Processor, a system for computer analysis of narrative patient documents in English, is being adapted for French Lettres de Sortie. The system converts the free-text input to a semantic representation which is then mapped into a relational database. Retrievals of clinical data from the database are described.

The Readiness Nursery in a Medical School.

ERIC Educational Resources Information Center

Silver, Archie A.

Differential diagnosis of delayed language development in the preschool child at the Readiness Nursery of the New York University Medical School can be shown by three case histories. Diagnosis requires identification of factors involved in the origin and development of the child's language deficit both at the time of diagnosis and at the critical…

Implementation of multiple intelligences theory in the English language course syllabus at the University of Nis Medical School.

PubMed

Bakić-Mirić, Natasa

2010-01-01

Theory of multiple intelligences (MI) is considered an innovation in learning the English language because it helps students develop all eight intelligences that, on the other hand, represent ways people understand the world around them, solve problems and learn. They are: verbal/linguistic, logical/mathematical, visual/spatial, bodily/kinaesthetic, musical/rhythmic, interpersonal, intrapersonal and naturalist. Also, by focusing on the problem-solving activities, teachers, by implementing theory of multiple intelligences, encourage students not only to build their existing language knowledge but also learn new content and skills. The objective of this study has been to determine the importance of implementation of the theory of multiple intelligences in the English language course syllabus at the University of Nis Medical School. Ways in which the theory of multiple intelligences has been implemented in the English language course syllabus particularly in one lecture for junior year students of pharmacy in the University of Nis Medical School. The English language final exam results from February 2009 when compared with the final exam results from June 2007 prior to the implementation of MI theory showed the following: out of 80 junior year students of pharmacy, 40 obtained grade 10 (outstanding), 16 obtained grade 9 (excellent), 11 obtained grade 8 (very good), 4 obtained grade 7 (good) and 9 obtained grade 6 (pass). No student failed. The implementation of the theory of multiple intelligences in the English language course syllabus at the University of Nis Medical School has had a positive impact on learning the English language and has increased students' interest in language learning. Genarally speaking, this theory offers better understanding of students' intelligence and greater appreciation of their strengths. It provides numerous opportunities for students to use and develop all eight intelligences not just the few they excel in prior to enrolling in a university or college.

Language matters: towards an understanding of silence and humour in medical education.

PubMed

Lingard, Lorelei

2013-01-01

This paper considers the state of the science regarding language matters in medical education, with particular attention to two informal language practices: silence and humour. Silence and humour pervade clinical training settings, although we rarely attend explicitly to them. This paper considers the treatment of these topics in our field to date and introduces a selection of the scholarship on silence and humour from other fields, including philosophy, sociology, anthropology, linguistics and rhetoric. Particular attention is paid to distilling the theoretical and methodological possibilities for an elaborated research agenda around silence and humour in medical education. These two language practices assume a variety of forms and serve a range of social functions. Episodes of silence and humour are intimately tied to their relational and institutional contexts. Power often figures centrally, although not predictably. A rich theoretical and methodological basis exists on which to elaborate a research agenda around silence and humour in medical education. Such research promises to reveal more fully the contributions of silence and humour to socialisation in clinical training settings. © Blackwell Publishing Ltd 2013.

Impact of student ethnicity and primary childhood language on communication skill assessment in a clinical performance examination.

PubMed

Fernandez, Alicia; Wang, Frances; Braveman, Melissa; Finkas, Lindsay K; Hauer, Karen E

2007-08-01

Clinical performance examinations (CPX) with standardized patients (SPs) have become a preferred method to assess communication skills in US medical schools. Little is known about how trainees' backgrounds impact CPX performance. The objective of this paper is to examine the impact of student ethnicity, primary childhood language, and experience of diversity on the communication scores of a high-stakes CPX using SPs. This research was designed as an observational study. The participants of this study were third-year medical students at one US medical school. The measurements used in this study were CPX scores from mandatory exam, student demographics and experience with diversity measured by self-report on a survey, and Medical College Admission Test (MCAT) and United States Medical Licensing Examination (USMLE) scores. A total of 135 students participated. Asian and black students scored lower than white students on the communication portion of the CPX by approximately half a standard deviation (Asian, 67.4%; black, 64.4%; white, 69.4%, p < .05). There were no differences by ethnicity on history/physical exam scores. Multivariate analysis controlling for MCAT verbal scores reduced ethnic differences in communication scores (Asian-white mean differences = 1.95, p = 0.02), but Asian-white differences were eliminated only after sequential models included primary childhood language (difference = 0.57, p = 0.6). Even after controlling for English language knowledge as measured in MCAT verbal scores, speaking a primary childhood language other than English is associated with lower CPX communication scores for Asian students. While poorer communication skills cannot be ruled out, SP exams may contain measurement bias associated with differences in childhood language or culture. Caution is indicated when interpreting CPX communication scores among diverse examinees.

Meta-manager: a requirements analysis.

PubMed

Cook, J F; Rozenblit, J W; Chacko, A K; Martinez, R; Timboe, H L

1999-05-01

The digital imaging network-picture-archiving and communications system (DIN-PACS) will be implemented in ten sites within the Great Plains Regional Medical Command (GPRMC). This network of PACS and teleradiology technology over a shared T1 network has opened the door for round the clock radiology coverage of all sites. However, the concept of a virtual radiology environment poses new issues for military medicine. A new workflow management system must be developed. This workflow management system will allow us to efficiently resolve these issues including quality of care, availability, severe capitation, and quality of the workforce. The design process of this management system must employ existing technology, operate over various telecommunication networks and protocols, be independent of platform operating systems, be flexible and scaleable, and involve the end user at the outset in the design process for which it is developed. Using the unified modeling language (UML), the specifications for this new business management system were created in concert between the University of Arizona and the GPRMC. These specifications detail a management system operating through a common object request brokered architecture (CORBA) environment. In this presentation, we characterize the Meta-Manager management system including aspects of intelligence, interfacility routing, fail-safe operations, and expected improvements in patient care and efficiency.

Anatomical entity mention recognition at literature scale

PubMed Central

Pyysalo, Sampo; Ananiadou, Sophia

2014-01-01

Motivation: Anatomical entities ranging from subcellular structures to organ systems are central to biomedical science, and mentions of these entities are essential to understanding the scientific literature. Despite extensive efforts to automatically analyze various aspects of biomedical text, there have been only few studies focusing on anatomical entities, and no dedicated methods for learning to automatically recognize anatomical entity mentions in free-form text have been introduced. Results: We present AnatomyTagger, a machine learning-based system for anatomical entity mention recognition. The system incorporates a broad array of approaches proposed to benefit tagging, including the use of Unified Medical Language System (UMLS)- and Open Biomedical Ontologies (OBO)-based lexical resources, word representations induced from unlabeled text, statistical truecasing and non-local features. We train and evaluate the system on a newly introduced corpus that substantially extends on previously available resources, and apply the resulting tagger to automatically annotate the entire open access scientific domain literature. The resulting analyses have been applied to extend services provided by the Europe PubMed Central literature database. Availability and implementation: All tools and resources introduced in this work are available from http://nactem.ac.uk/anatomytagger. Contact: sophia.ananiadou@manchester.ac.uk Supplementary Information: Supplementary data are available at Bioinformatics online. PMID:24162468

Auditing the Assignments of Top-Level Semantic Types in the UMLS Semantic Network to UMLS Concepts

PubMed Central

He, Zhe; Perl, Yehoshua; Elhanan, Gai; Chen, Yan; Geller, James; Bian, Jiang

2018-01-01

The Unified Medical Language System (UMLS) is an important terminological system. By the policy of its curators, each concept of the UMLS should be assigned the most specific Semantic Types (STs) in the UMLS Semantic Network (SN). Hence, the Semantic Types of most UMLS concepts are assigned at or near the bottom (leaves) of the UMLS Semantic Network. While most ST assignments are correct, some errors do occur. Therefore, Quality Assurance efforts of UMLS curators for ST assignments should concentrate on automatically detected sets of UMLS concepts with higher error rates than random sets. In this paper, we investigate the assignments of top-level semantic types in the UMLS semantic network to concepts, identify potential erroneous assignments, define four categories of errors, and thus provide assistance to curators of the UMLS to avoid these assignments errors. Human experts analyzed samples of concepts assigned 10 of the top-level semantic types and categorized the erroneous ST assignments into these four logical categories. Two thirds of the concepts assigned these 10 top-level semantic types are erroneous. Our results demonstrate that reviewing top-level semantic type assignments to concepts provides an effective way for UMLS quality assurance, comparing to reviewing a random selection of semantic type assignments. PMID:29375930

Automating lexical cross-mapping of ICNP to SNOMED CT.

PubMed

Kim, Tae Youn

2016-01-01

The purpose of this study was to examine the feasibility of automating lexical cross-mapping of a logic-based nursing terminology (ICNP) to SNOMED CT using the Unified Medical Language System (UMLS) maintained by the U.S. National Library of Medicine. A two-stage approach included patterns identification, and application and evaluation of an automated term matching procedure. The performance of the automated procedure was evaluated using a test set against a gold standard (i.e. concept equivalency table) created independently by terminology experts. There were lexical similarities between ICNP diagnostic concepts and SNOMED CT. The automated term matching procedure was reliable as presented in recall of 65%, precision of 79%, accuracy of 82%, F-measure of 0.71 and the area under the receiver operating characteristics (ROC) curve of 0.78 (95% CI 0.73-0.83). When the automated procedure was not able to retrieve lexically matched concepts, it was also unlikely for terminology experts to identify a matched SNOMED CT concept. Although further research is warranted to enhance the automated matching procedure, the combination of cross-maps from UMLS and the automated procedure is useful to generate candidate mappings and thus, assist ongoing maintenance of mappings which is a significant burden to terminology developers.

Auditing Associative Relations across Two Knowledge Sources

PubMed Central

Vizenor, Lowell T.; Bodenreider, Olivier; McCray, Alexa T.

2009-01-01

Objectives This paper proposes a novel semantic method for auditing associative relations in biomedical terminologies. We tested our methodology on two Unified Medical Language System (UMLS) knowledge sources. Methods We use the UMLS semantic groups as high-level representations of the domain and range of relationships in the Metathesaurus and in the Semantic Network. A mapping created between Metathesaurus relationships and Semantic Network relationships forms the basis for comparing the signatures of a given Metathesaurus relationship to the signatures of the semantic relationship to which it is mapped. The consistency of Metathesaurus relations is studied for each relationship. Results Of the 177 associative relationships in the Metathesaurus, 84 (48%) exhibit a high degree of consistency with the corresponding Semantic Network relationships. Overall, 63% of the 1.8M associative relations in the Metathesaurus are consistent with relations in the Semantic Network. Conclusion The semantics of associative relationships in biomedical terminologies should be defined explicitly by their developers. The Semantic Network would benefit from being extended with new relationships and with new relations for some existing relationships. The UMLS editing environment could take advantage of the correspondence established between relationships in the Metathesaurus and the Semantic Network. Finally, the auditing method also yielded useful information for refining the mapping of associative relationships between the two sources. PMID:19475724

Auditing the Assignments of Top-Level Semantic Types in the UMLS Semantic Network to UMLS Concepts.

PubMed

He, Zhe; Perl, Yehoshua; Elhanan, Gai; Chen, Yan; Geller, James; Bian, Jiang

2017-11-01

The Unified Medical Language System (UMLS) is an important terminological system. By the policy of its curators, each concept of the UMLS should be assigned the most specific Semantic Types (STs) in the UMLS Semantic Network (SN). Hence, the Semantic Types of most UMLS concepts are assigned at or near the bottom (leaves) of the UMLS Semantic Network. While most ST assignments are correct, some errors do occur. Therefore, Quality Assurance efforts of UMLS curators for ST assignments should concentrate on automatically detected sets of UMLS concepts with higher error rates than random sets. In this paper, we investigate the assignments of top-level semantic types in the UMLS semantic network to concepts, identify potential erroneous assignments, define four categories of errors, and thus provide assistance to curators of the UMLS to avoid these assignments errors. Human experts analyzed samples of concepts assigned 10 of the top-level semantic types and categorized the erroneous ST assignments into these four logical categories. Two thirds of the concepts assigned these 10 top-level semantic types are erroneous. Our results demonstrate that reviewing top-level semantic type assignments to concepts provides an effective way for UMLS quality assurance, comparing to reviewing a random selection of semantic type assignments.

What Four Million Mappings Can Tell You about Two Hundred Ontologies

NASA Astrophysics Data System (ADS)

Ghazvinian, Amir; Noy, Natalya F.; Jonquet, Clement; Shah, Nigam; Musen, Mark A.

The field of biomedicine has embraced the Semantic Web probably more than any other field. As a result, there is a large number of biomedical ontologies covering overlapping areas of the field. We have developed BioPortal—an open community-based repository of biomedical ontologies. We analyzed ontologies and terminologies in BioPortal and the Unified Medical Language System (UMLS), creating more than 4 million mappings between concepts in these ontologies and terminologies based on the lexical similarity of concept names and synonyms. We then analyzed the mappings and what they tell us about the ontologies themselves, the structure of the ontology repository, and the ways in which the mappings can help in the process of ontology design and evaluation. For example, we can use the mappings to guide users who are new to a field to the most pertinent ontologies in that field, to identify areas of the domain that are not covered sufficiently by the ontologies in the repository, and to identify which ontologies will serve well as background knowledge in domain-specific tools. While we used a specific (but large) ontology repository for the study, we believe that the lessons we learned about the value of a large-scale set of mappings to ontology users and developers are general and apply in many other domains.

Epidemiology and causation: a realist view.

PubMed Central

Renton, A

1994-01-01

In this paper the controversy over how to decide whether associations between factors and diseases are causal is placed within a description of the public health and scientific relevance of epidemiology. It is argued that the rise in popularity of the Popperian view of science, together with a perception of the aims of epidemiology as being to identify appropriate public health interventions, have focussed this debate on unresolved questions of inferential logic, leaving largely unanalysed the notions of causation and of disease at the ontological level. A realist ontology of causation of disease and pathogenesis is constructed within the framework of "scientific materialism", and is shown to provide a coherent basis from which to decide causes and to deal with problems of confounding and interaction in epidemiological research. It is argued that a realist analysis identifies a richer role for epidemiology as an integral part of an ontologically unified medical science. It is this unified medical science as a whole rather than epidemiological observation or experiment which decides causes and, in turn, provides a key element to the foundations of rational public health decision making. PMID:8138775

Generation of development environments for the Arden Syntax.

PubMed Central

Bång, M.; Eriksson, H.

1997-01-01

Providing appropriate development environments for specialized languages requires a significant development and maintenance effort. Specialized environments are therefore expensive when compared to their general-language counterparts. The Arden Syntax for Medical Logic Modules (MLM) is a standardized language for representing medical knowledge. We have used PROTEGE-II, a knowledge-engineering environment, to generate a number of experimental development environments for the Arden Syntax. MEDAILLE is the resulting MLM editor, which provides a user-friendly environment that allows users to create and modify MLM definitions. Although MEDAILLE is a generated editor, it has similar functionality, while reducing the programming effort, as compared to other MLM editors developed using traditional programming techniques. We discuss how developers can use PROTEGE-II to generate development environments for other standardized languages and for general programming languages. PMID:9357639

A comprehensive model for diagnosing the causes of individual medical performance problems: skills, knowledge, internal, past and external factors (SKIPE).

PubMed

Norfolk, Tim; Siriwardena, A Niroshan

2013-01-01

This discussion paper describes a new and comprehensive model for diagnosing the causes of individual medical performance problems: SKIPE (skills, knowledge, internal, past and external factors). This builds on a previous paper describing a unifying theory of clinical practice, the RDM-p model, which captures the primary skill sets required for effective medical performance (relationship, diagnostics and management), and the professionalism that needs to underpin them. The SKIPE model is currently being used, in conjunction with the RDM-p model, for the in-depth assessment and management of doctors whose performance is a cause for concern.

Ethics in the practice of speech-language pathology in health care settings.

PubMed

Kummer, Ann W; Turner, Jan

2011-11-01

ETHICS refers to a moral philosophy or a set of moral principles that determine appropriate behavior in a society. Medical ethics includes a set of specific values that are considered in determining appropriate conduct in the practice of medicine or health care. Because the practice of medicine and medical speech-language pathology affects the health, well-being, and quality of life of individuals served, adherence to a code of ethical conduct is critically important in the health care environment. When ethical dilemmas arise, consultation with a bioethics committee can be helpful in determining the best course of action. This article will help to define medical ethics and to discuss the six basic values that are commonly considered in discussions of medical ethics. Common ethical mistakes in the practice of speech-language pathology will be described. Finally, the value of a bioethics consultation for help in resolving complex ethical issues will be discussed. © Thieme Medical Publishers.

GALEN: a third generation terminology tool to support a multipurpose national coding system for surgical procedures.

PubMed

Trombert-Paviot, B; Rodrigues, J M; Rogers, J E; Baud, R; van der Haring, E; Rassinoux, A M; Abrial, V; Clavel, L; Idir, H

2000-09-01

Generalised architecture for languages, encyclopedia and nomenclatures in medicine (GALEN) has developed a new generation of terminology tools based on a language independent model describing the semantics and allowing computer processing and multiple reuses as well as natural language understanding systems applications to facilitate the sharing and maintaining of consistent medical knowledge. During the European Union 4 Th. framework program project GALEN-IN-USE and later on within two contracts with the national health authorities we applied the modelling and the tools to the development of a new multipurpose coding system for surgical procedures named CCAM in a minority language country, France. On one hand, we contributed to a language independent knowledge repository and multilingual semantic dictionaries for multicultural Europe. On the other hand, we support the traditional process for creating a new coding system in medicine which is very much labour consuming by artificial intelligence tools using a medically oriented recursive ontology and natural language processing. We used an integrated software named CLAW (for classification workbench) to process French professional medical language rubrics produced by the national colleges of surgeons domain experts into intermediate dissections and to the Grail reference ontology model representation. From this language independent concept model representation, on one hand, we generate with the LNAT natural language generator controlled French natural language to support the finalization of the linguistic labels (first generation) in relation with the meanings of the conceptual system structure. On the other hand, the Claw classification manager proves to be very powerful to retrieve the initial domain experts rubrics list with different categories of concepts (second generation) within a semantic structured representation (third generation) bridge to the electronic patient record detailed terminology.

[German influences on Romanian medical terminology].

PubMed

Răcilă, R G; Răileanu, Irena; Rusu, V

2008-01-01

The medical terminology plays a key part both in the study of medicine as well as in its practice. Moreover, understanding the medical terms is important not only for the doctor but also for the patients who want to learn more about their condition. For these reasons we believe that the study of medical terminology is one of great interest. The aim of our paper was to evaluate the German linguistic and medical influences on the evolution of the Romanian medical terminology. Since the Romanian-German cultural contacts date back to the 12th century we had reasons to believe that the number of German medical words in Romanian would be significant. To our surprise, the Romanian language has very few German words and even less medical terms of German origin. However, when we searched the list of diseases coined after famous medical personalities, we found out that 26 % of them bore the names of German doctors and scientists. Taken together this proves that the German medical school played an important role on the evolution of Romanian medicine despite the fact that the Romanian vocabulary was slightly influenced by the German language. We explain this fact on the structural differences between the Romanian and German languages, which make it hard for German loans to be integrated in the Romanian lexis. In conclusion we state that the German influence on the Romanian medical terminology is weak despite the important contribution of the German medical school to the development of medical education and healthcare in Romania. Key

A Journey in Standard Development: The Core Manufacturing Simulation Data (CMSD) Information Model.

PubMed

Lee, Yung-Tsun Tina

2015-01-01

This report documents a journey "from research to an approved standard" of a NIST-led standard development activity. That standard, Core Manufacturing Simulation Data (CMSD) information model, provides neutral structures for the efficient exchange of manufacturing data in a simulation environment. The model was standardized under the auspices of the international Simulation Interoperability Standards Organization (SISO). NIST started the research in 2001 and initiated the standardization effort in 2004. The CMSD standard was published in two SISO Products. In the first Product, the information model was defined in the Unified Modeling Language (UML) and published in 2010 as SISO-STD-008-2010. In the second Product, the information model was defined in Extensible Markup Language (XML) and published in 2013 as SISO-STD-008-01-2012. Both SISO-STD-008-2010 and SISO-STD-008-01-2012 are intended to be used together.

Building a genome database using an object-oriented approach.

PubMed

Barbasiewicz, Anna; Liu, Lin; Lang, B Franz; Burger, Gertraud

2002-01-01

GOBASE is a relational database that integrates data associated with mitochondria and chloroplasts. The most important data in GOBASE, i. e., molecular sequences and taxonomic information, are obtained from the public sequence data repository at the National Center for Biotechnology Information (NCBI), and are validated by our experts. Maintaining a curated genomic database comes with a towering labor cost, due to the shear volume of available genomic sequences and the plethora of annotation errors and omissions in records retrieved from public repositories. Here we describe our approach to increase automation of the database population process, thereby reducing manual intervention. As a first step, we used Unified Modeling Language (UML) to construct a list of potential errors. Each case was evaluated independently, and an expert solution was devised, and represented as a diagram. Subsequently, the UML diagrams were used as templates for writing object-oriented automation programs in the Java programming language.

Advances in Autism

PubMed Central

Geschwind, Daniel H.

2013-01-01

Autism is a common childhood neurodevelopmental disorder with strong genetic liability. It is not a unitary entity but a clinical syndrome, with variable deficits in social behavior and language, restrictive interests, and repetitive behaviors. Recent advances in the genetics of autism emphasize its etiological heterogeneity, with each genetic susceptibility locus accounting for only a small fraction of cases or having a small effect. Therefore, it is not surprising that no unifying structural or neuropathological features have been conclusively identified. Given the heterogeneity of autism spectrum disorder (ASD), approaches based on studying heritable components of the disorder, or endophenotypes, such as language or social cognition, provide promising avenues for genetic and neurobiological investigations. Early intensive behavioral and cognitive interventions are efficacious in many cases, but autism does not remit in the majority of children. Therefore, development of targeted therapies based on pathophysiologically and etiologically defined subtypes of ASD remains an important and achievable goal of current research. PMID:19630577

Shape from sound: toward new tools for quantum gravity.

PubMed

Aasen, David; Bhamre, Tejal; Kempf, Achim

2013-03-22

To unify general relativity and quantum theory is hard in part because they are formulated in two very different mathematical languages, differential geometry and functional analysis. A natural candidate for bridging this language gap, at least in the case of the Euclidean signature, is the discipline of spectral geometry. It aims at describing curved manifolds in terms of the spectra of their canonical differential operators. As an immediate benefit, this would offer a clean gauge-independent identification of the metric's degrees of freedom in terms of invariants that should be ready to quantize. However, spectral geometry is itself hard and has been plagued by ambiguities. Here, we regularize and break up spectral geometry into small, finite-dimensional and therefore manageable steps. We constructively demonstrate that this strategy works at least in two dimensions. We can now calculate the shapes of two-dimensional objects from their vibrational spectra.

A Neurobehavioral Model of Flexible Spatial Language Behaviors

PubMed Central

Lipinski, John; Schneegans, Sebastian; Sandamirskaya, Yulia; Spencer, John P.; Schöner, Gregor

2012-01-01

We propose a neural dynamic model that specifies how low-level visual processes can be integrated with higher level cognition to achieve flexible spatial language behaviors. This model uses real-word visual input that is linked to relational spatial descriptions through a neural mechanism for reference frame transformations. We demonstrate that the system can extract spatial relations from visual scenes, select items based on relational spatial descriptions, and perform reference object selection in a single unified architecture. We further show that the performance of the system is consistent with behavioral data in humans by simulating results from 2 independent empirical studies, 1 spatial term rating task and 1 study of reference object selection behavior. The architecture we present thereby achieves a high degree of task flexibility under realistic stimulus conditions. At the same time, it also provides a detailed neural grounding for complex behavioral and cognitive processes. PMID:21517224

The field representation language.

PubMed

Tsafnat, Guy

2008-02-01

The complexity of quantitative biomedical models, and the rate at which they are published, is increasing to a point where managing the information has become all but impossible without automation. International efforts are underway to standardise representation languages for a number of mathematical entities that represent a wide variety of physiological systems. This paper presents the Field Representation Language (FRL), a portable representation of values that change over space and/or time. FRL is an extensible mark-up language (XML) derivative with support for large numeric data sets in Hierarchical Data Format version 5 (HDF5). Components of FRL can be reused through unified resource identifiers (URI) that point to external resources such as custom basis functions, boundary geometries and numerical data. To demonstrate the use of FRL as an interchange we present three models that study hyperthermia cancer treatment: a fractal model of liver tumour microvasculature; a probabilistic model simulating the deposition of magnetic microspheres throughout it; and a finite element model of hyperthermic treatment. The microsphere distribution field was used to compute the heat generation rate field around the tumour. We used FRL to convey results from the microsphere simulation to the treatment model. FRL facilitated the conversion of the coordinate systems and approximated the integral over regions of the microsphere deposition field.

Dynamic concision for three-dimensional reconstruction of human organ built with virtual reality modelling language (VRML).

PubMed

Yu, Zheng-yang; Zheng, Shu-sen; Chen, Lei-ting; He, Xiao-qian; Wang, Jian-jun

2005-07-01

This research studies the process of 3D reconstruction and dynamic concision based on 2D medical digital images using virtual reality modelling language (VRML) and JavaScript language, with a focus on how to realize the dynamic concision of 3D medical model with script node and sensor node in VRML. The 3D reconstruction and concision of body internal organs can be built with such high quality that they are better than those obtained from the traditional methods. With the function of dynamic concision, the VRML browser can offer better windows for man-computer interaction in real-time environment than ever before. 3D reconstruction and dynamic concision with VRML can be used to meet the requirement for the medical observation of 3D reconstruction and have a promising prospect in the fields of medical imaging.

Dynamic concision for three-dimensional reconstruction of human organ built with virtual reality modelling language (VRML)*

PubMed Central

Yu, Zheng-yang; Zheng, Shu-sen; Chen, Lei-ting; He, Xiao-qian; Wang, Jian-jun

2005-01-01

This research studies the process of 3D reconstruction and dynamic concision based on 2D medical digital images using virtual reality modelling language (VRML) and JavaScript language, with a focus on how to realize the dynamic concision of 3D medical model with script node and sensor node in VRML. The 3D reconstruction and concision of body internal organs can be built with such high quality that they are better than those obtained from the traditional methods. With the function of dynamic concision, the VRML browser can offer better windows for man-computer interaction in real-time environment than ever before. 3D reconstruction and dynamic concision with VRML can be used to meet the requirement for the medical observation of 3D reconstruction and have a promising prospect in the fields of medical imaging. PMID:15973760

Speech-Language Pathologist Job Satisfaction in School versus Medical Settings

ERIC Educational Resources Information Center

Kalkhoff, Nicole L.; Collins, Dana R.

2012-01-01

Purpose: The goal of this study was to determine if job satisfaction differs between speech-language pathologists (SLPs) working in school settings and SLPs working in medical settings. Method: The Job Satisfaction Survey (JSS) by Spector (1997) was sent via electronic mail to 250 SLPs in each of the 2 settings. Job satisfaction scores were…

The Patient's Right to Clear Communications in Health and Mental Health Delivery Service.

ERIC Educational Resources Information Center

Shuy, Roger W.

Persons from minority groups often are at a linguistic disadvantage in (Philadelphia, Pennsylvania, Nov. 22, 1975) the language and culture of the physician or psychoanalyst, who may be unaware of problems of understanding. Patients have certain language rights in medical care. (1) The right to human dignity in the medical relationship is…