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Sample records for age classification scores

  1. Classification of current scoring functions.

    PubMed

    Liu, Jie; Wang, Renxiao

    2015-03-23

    Scoring functions are a class of computational methods widely applied in structure-based drug design for evaluating protein-ligand interactions. Dozens of scoring functions have been published since the early 1990s. In literature, scoring functions are typically classified as force-field-based, empirical, and knowledge-based. This classification scheme has been quoted for more than a decade and is still repeatedly quoted by some recent publications. Unfortunately, it does not reflect the recent progress in this field. Besides, the naming convention used for describing different types of scoring functions has been somewhat jumbled in literature, which could be confusing for newcomers to this field. Here, we express our viewpoint on an up-to-date classification scheme and appropriate naming convention for current scoring functions. We propose that they can be classified into physics-based methods, empirical scoring functions, knowledge-based potentials, and descriptor-based scoring functions. We also outline the major difference and connections between different categories of scoring functions.

  2. Examining classification criteria: a comparison of three cut score methods.

    PubMed

    DiStefano, Christine; Morgan, Grant

    2011-06-01

    This study compared 3 different methods of creating cut scores for a screening instrument, T scores, receiver operating characteristic curve (ROC) analysis, and the Rasch rating scale method (RSM), for use with the Behavioral and Emotional Screening System (BESS) Teacher Rating Scale for Children and Adolescents (Kamphaus & Reynolds, 2007). Using the BESS norm data set, we compared the methods across 7 classification indices. Additional information about accuracy was used with a subset of children who had been given a prior diagnosis for selected disorders. The results showed that the methods were generally in concordance, with similarities identified across methods. RSM and ROC analysis methods performed similarly, with both methods identifying the same optimal cut-point. The method based on T scores appeared to be more conservative, identifying a lower cut score as optimal.

  3. Classification and immunohistochemical scoring of breast tissue microarray spots.

    PubMed

    Amaral, Telmo; McKenna, Stephen J; Robertson, Katherine; Thompson, Alastair

    2013-10-01

    Tissue microarrays (TMAs) facilitate the survey of very large numbers of tumors. However, the manual assessment of stained TMA sections constitutes a bottleneck in the pathologist's work flow. This paper presents a computational pipeline for automatically classifying and scoring breast cancer TMA spots that have been subjected to nuclear immunostaining. Spots are classified based on a bag of visual words approach. Immunohistochemical scoring is performed by computing spot features reflecting the proportion of epithelial nuclei that are stained and the strength of that staining. These are then mapped onto an ordinal scale used by pathologists. Multilayer perceptron classifiers are compared with latent topic models and support vector machines for spot classification, and with Gaussian process ordinal regression and linear models for scoring. Intraobserver variation is also reported. The use of posterior entropy to identify uncertain cases is demonstrated. Evaluation is performed using TMA images stained for progesterone receptor.

  4. Fruit classification based on weighted score-level feature fusion

    NASA Astrophysics Data System (ADS)

    Kuang, Hulin; Hang Chan, Leanne Lai; Liu, Cairong; Yan, Hong

    2016-01-01

    We describe an object classification method based on weighted score-level feature fusion using learned weights. Our method is able to recognize 20 object classes in a customized fruit dataset. Although the fusion of multiple features is commonly used to distinguish variable object classes, the optimal combination of features is not well defined. Moreover, in these methods, most parameters used for feature extraction are not optimized and the contribution of each feature to an individual class is not considered when determining the weight of the feature. Our algorithm relies on optimizing a single feature during feature selection and learning the weight of each feature for an individual class from the training data using a linear support vector machine before the features are linearly combined with the weights at the score level. The optimal single feature is selected using cross-validation. The optimal combination of features is explored and tested experimentally using a customized fruit dataset with 20 object classes and a variety of complex backgrounds. The experiment results show that the proposed feature fusion method outperforms four state-of-the-art fruit classification algorithms and improves the classification accuracy when compared with some state-of-the-art feature fusion methods.

  5. A Retrospective Analysis of Pressure Ulcer Incidence and Modified Braden Scale Score Risk Classifications.

    PubMed

    Chen, Hong-Lin; Cao, Ying-Juan; Wang, Jing; Huai, Bao-Sha

    2015-09-01

    The Braden Scale is the most widely used pressure ulcer risk assessment in the world, but the currently used 5 risk classification groups do not accurately discriminate among their risk categories. To optimize risk classification based on Braden Scale scores, a retrospective analysis of all consecutively admitted patients in an acute care facility who were at risk for pressure ulcer development was performed between January 2013 and December 2013. Predicted pressure ulcer incidence first was calculated by logistic regression model based on original Braden score. Risk classification then was modified based on the predicted pressure ulcer incidence and compared between different risk categories in the modified (3-group) classification and the traditional (5-group) classification using chi-square test. Two thousand, six hundred, twenty-five (2,625) patients (mean age 59.8 ± 16.5, range 1 month to 98 years, 1,601 of whom were men) were included in the study; 81 patients (3.1%) developed a pressure ulcer. The predicted pressure ulcer incidence ranged from 0.1% to 49.7%. When the predicted pressure ulcer incidence was greater than 10.0% (high risk), the corresponding Braden scores were less than 11; when the predicted incidence ranged from 1.0% to 10.0% (moderate risk), the corresponding Braden scores ranged from 12 to 16; and when the predicted incidence was less than 1.0% (mild risk), the corresponding Braden scores were greater than 17. In the modified classification, observed pressure ulcer incidence was significantly different between each of the 3 risk categories (P less than 0.05). However, in the traditional classification, the observed incidence was not significantly different between the high-risk category and moderate-risk category (P less than 0.05) and between the mild-risk category and no-risk category (P less than 0.05). If future studies confirm the validity of these findings, pressure ulcer prevention protocols of care based on Braden Scale scores can

  6. Customer Credit Scoring Method Based on the SVDD Classification Model with Imbalanced Dataset

    NASA Astrophysics Data System (ADS)

    Tian, Bo; Nan, Lin; Zheng, Qin; Yang, Lei

    Customer credit scoring is a typical class of pattern classification problem with imbalanced dataset. A new customer credit scoring method based on the support vector domain description (SVDD) classification model was proposed in this paper. Main techniques of customer credit scoring were reviewed. The SVDD model with imbalanced dataset was analyzed and the predication method of customer credit scoring based on the SVDD model was proposed. Our experimental results confirm that our approach is effective in ranking and classifying customer credit.

  7. Estimating the Consistency and Accuracy of Classifications Based on Test Scores.

    ERIC Educational Resources Information Center

    Livingston, Samuel A.; Lewis, Charles

    This paper presents a method for estimating the accuracy and consistency of classifications based on test scores. The scores can be produced by any scoring method, including the formation of a weighted composite. The estimates use data from a single form. The reliability of the score is used to estimate its effective test length in terms of…

  8. Examining Classification Criteria: A Comparison of Three Cut Score Methods

    ERIC Educational Resources Information Center

    DiStefano, Christine; Morgan, Grant

    2011-01-01

    This study compared 3 different methods of creating cut scores for a screening instrument, T scores, receiver operating characteristic curve (ROC) analysis, and the Rasch rating scale method (RSM), for use with the Behavioral and Emotional Screening System (BESS) Teacher Rating Scale for Children and Adolescents (Kamphaus & Reynolds, 2007).…

  9. The Effect of Age-Correction on IQ Scores among School-Aged Children Born Preterm

    ERIC Educational Resources Information Center

    Roberts, Rachel M.; George, Wing Man; Cole, Carolyn; Marshall, Peter; Ellison, Vanessa; Fabel, Helen

    2013-01-01

    This study examined the effect of age-correction on IQ scores among preterm school-aged children. Data from the Flinders Medical Centre Neonatal Unit Follow-up Program for 81 children aged five years and assessed with the WPPSI-III, and 177 children aged eight years and assessed with the WISC-IV, were analysed. Corrected IQ scores were…

  10. Sexual dimorphism in human cranial trait scores: effects of population, age, and body size.

    PubMed

    Garvin, Heather M; Sholts, Sabrina B; Mosca, Laurel A

    2014-06-01

    Sex estimation from the skull is commonly performed by physical and forensic anthropologists using a five-trait scoring system developed by Walker. Despite the popularity of this method, validation studies evaluating its accuracy across a variety of samples are lacking. Furthermore, it remains unclear what other intrinsic or extrinsic variables are related to the expression of these traits. In this study, cranial trait scores and postcranial measurements were collected from four diverse population groups (U.S. Whites, U.S. Blacks, medieval Nubians, and Arikara Native Americans) following Walker's protocols (total n = 499). Univariate and multivariate analyses were utilized to evaluate the accuracy of these traits in sex estimation, and to test for the effects of population, age, and body size on trait expressions. Results revealed significant effects of population on all trait scores. Sample-specific correct sex classification rates ranged from 74% to 94%, with an overall accuracy of 85% for the pooled sample. Classification performance varied among the traits (best for glabella and mastoid scores and worst for nuchal scores). Furthermore, correlations between traits were weak or nonsignificant, suggesting that different factors may influence individual traits. Some traits displayed correlations with age and/or postcranial size that were significant but weak, and within-population analyses did not reveal any consistent relationships between these traits across all groups. These results indicate that neither age nor body size plays a large role in trait expression, and thus does not need to be incorporated into sex estimation methods.

  11. Does Maximizing Information at the Cut Score Always Maximize Classification Accuracy and Consistency?

    ERIC Educational Resources Information Center

    Wyse, Adam E.; Babcock, Ben

    2016-01-01

    A common suggestion made in the psychometric literature for fixed-length classification tests is that one should design tests so that they have maximum information at the cut score. Designing tests in this way is believed to maximize the classification accuracy and consistency of the assessment. This article uses simulated examples to illustrate…

  12. Longitudinal Changes in Scores on the Autism Diagnostic Interview-Revised (ADI-R) in Pre-School Children with Autism: Implications for Diagnostic Classification and Symptom Stability

    ERIC Educational Resources Information Center

    Soke, Gnakub Norbert; Philofsky, Amy; Diguiseppi, Carolyn; Lezotte, Dennis; Rogers, Sally; Hepburn, Susan

    2011-01-01

    We prospectively examined mean changes in Autism Diagnostic Interview-Revised (ADI-R) Total and Domains scores and stability of the ADI-R diagnostic classification in 28 children with autism initially assessed at age 2-4 years and reassessed 2 years later. Mean Total, Social Interaction, and Communication scores decreased significantly from Time 1…

  13. Discriminative likelihood score weighting based on acoustic-phonetic classification for speaker identification

    NASA Astrophysics Data System (ADS)

    Suh, Youngjoo; Kim, Hoirin

    2014-12-01

    In this paper, a new discriminative likelihood score weighting technique is proposed for speaker identification. The proposed method employs a discriminative weighting of frame-level log-likelihood scores with acoustic-phonetic classification in the Gaussian mixture model (GMM)-based speaker identification. Experiments performed on the Aurora noise-corrupted TIMIT database showed that the proposed approach provides meaningful performance improvement with an overall relative error reduction of 15.8% over the maximum likelihood-based baseline GMM approach.

  14. On the Development and Scoring of Classification and Observation Science Performance Assessments.

    ERIC Educational Resources Information Center

    Solano-Flores, Guillermo; Shavelson, Richard J.; Ruiz-Primo, Maria Araceli; Schults, Susan Elise; Wiley, Edward W.; Brown, Janet H.

    In a project on the development of performance assessments in science, researchers have developed four types of assessment: comparative, component identification, classification, and observation. They have noted that assessments belonging to the same type of task can be scored for the same performance properties. This paper reports on the…

  15. Normal aging increases cognitive heterogeneity: analysis of dispersion in WAIS-III scores across age.

    PubMed

    Ardila, Alfredo

    2007-11-01

    Individual differences in cognitive decline during normal aging need further delineation. The purpose of this study was to find the score dispersions in the WAIS-III subtests at different ages. Norms presented in the Administration and Scoring Manual [Wechsler, D. (1997). WAIS-III: Administration and scoring manual. San Antonio: The Psychological Corporation] were used. The WAIS-III was standardized and normalized using 2450 American adults divided into 13 age ranges and 4 education groups. Means and standard deviations for the different WAIS-III subtests were deduced and the ratio Percentage of the mean="(standard deviation/mean)x100" was calculated. It was hypothesized that during normal aging, whereas mean scores decrease, score dispersions increase, pointing to an increased heterogeneity in intellectual abilities in older individuals. In all subtests, except Digit Span, it was found that score dispersions indeed increased during aging. However, in some subtests, increase in dispersion was less than 20% (Block Design, Object Assembly, and Information), whereas in others, increase in dispersion was over 200% (Matrix Reasoning, L-N Sequencing, Digit-Symbol, Picture Completion, and Picture Arrangement). It was proposed that cognitive heterogeneity during normal aging is related to those abilities measured with these latter subtests, basically, executive functions, attention, and selected non-verbal abilities. In other abilities (e.g., visuoconstructive abilities and fund of general information), normal aging is associated with a more homogenous pattern of decline.

  16. Relationship between Age and the Ability to Break Scored Tablets

    PubMed Central

    Notenboom, Kim; Vromans, Herman; Schipper, Maarten; Leufkens, Hubert G. M.; Bouvy, Marcel L.

    2016-01-01

    Background: Practical problems with the use of medicines, such as difficulties with breaking tablets, are an often overlooked cause for non-adherence. Tablets frequently break in uneven parts and loss of product can occur due to crumbling and powdering. Health characteristics, such as the presence of peripheral neuropathy, decreased grip strength and manual dexterity, can affect a patient's ability to break tablets. As these impairments are associated with aging and age-related diseases, such as Parkinson's disease and arthritis, difficulties with breaking tablets could be more prevalent among older adults. The objective of this study was to investigate the relationship between age and the ability to break scored tablets. Methods: A comparative study design was chosen. Thirty-six older adults and 36 young adults were systematically observed with breaking scored tablets. Twelve different tablets were included. All participants were asked to break each tablet by three techniques: in between the fingers with the use of nails, in between the fingers without the use of nails and pushing the tablet downward with one finger on a solid surface. It was established whether a tablet was broken or not, and if broken, whether the tablet was broken accurately or not. Results: The older adults experienced more difficulties to break tablets compared to the young adults. On average, the older persons broke 38.1% of the tablets, of which 71.0% was broken accurately. The young adults broke 78.2% of the tablets, of which 77.4% was broken accurately. Further analysis by mixed effects logistic regression revealed that age was associated with the ability to break tablets, but not with the accuracy of breaking. Conclusions: Breaking scored tablets by hand is less successful in an elderly population compared to a group of young adults. Health care providers should be aware that tablet breaking is not appropriate for all patients and for all drugs. In case tablet breaking is unavoidable, a

  17. [A new method of determining ages: chronological classification].

    PubMed

    Gubry, P

    1983-01-01

    Two methods of determining ages, the historical calendar method and the classification method, are compared using data for Chad from the UDEAC-TCHAD demographic survey. Complementary processing shows that the classification method is more accurate for those born in villages, while the historical method is more accurate for those born elsewhere. (summary in ENG)

  18. Agreement between the SCORE and D’Agostino Scales for the Classification of High Cardiovascular Risk in Sedentary Spanish Patients

    PubMed Central

    Gómez-Marcos, Manuel A.; Grandes, Gonzalo; Iglesias-Valiente, José A.; Sánchez, Alvaro; Montoya, Imanol; García-Ortiz, Luis

    2009-01-01

    Background: To evaluate agreement between cardiovascular risk in sedentary patients as estimated by the new Framingham-D’Agostino scale and by the SCORE chart, and to describe the patient characteristics associated with the observed disagreement between the scales. Design: A cross-sectional study was undertaken involving a systematic sample of 2,295 sedentary individuals between 40–65 years of age seen for any reason in 56 primary care offices. An estimation was made of the Pearson correlation coefficient and kappa statistic for the classification of high risk subjects (≥20% according to the Framingham-D’Agostino scale, and ≥5% according to SCORE). Polytomous logistic regression models were fitted to identify the variables associated with the discordance between the two scales. Results: The mean risk in males (35%) was 19.5% ± 13% with D’Agostino scale, and 3.2% ± 3.3% with SCORE. Among females, they were 8.1% ± 6.8% and 1.2% ± 2.2%, respectively. The correlation between the two scales was 0.874 in males (95% CI: 0.857–0.889) and 0.818 in females (95% CI: 0.800–0.834), while the kappa index was 0.50 in males (95% CI: 0.44%–0.56%) and 0.61 in females (95% CI: 0.52%–0.71%). The most frequent disagreement, characterized by high risk according to D’Agostino scale but not according to SCORE, was much more prevalent among males and proved more probable with increasing age and increased LDL-cholesterol, triglyceride and systolic blood pressure values, as well as among those who used antihypertensive drugs and smokers. Conclusions: The quantitative correlation between the two scales is very high. Patient categorization as corresponding to high risk generates disagreements, mainly among males, where agreement between the two classifications is only moderate. PMID:20049225

  19. [A comparative study of clinical score and lung function tests in the classification of asthma by severity of disease].

    PubMed

    Nakaie, C M; Rozov, T; Manissadjian, A

    1998-01-01

    Fifty nine asthmatic children and adolescents, clinically stable, aged 6 to 15 years, 37 boys and 22 girls, from Instituto da Criança do Hospital das Clínicas da FMUSP, were studied from September to November, 1994. The patients were classified by the clinical score of the International Consensus for Asthma Diagnosis and Management. They performed baseline spirometry and peak expiratory flow rates (PEFR), before and after bronchodilator, and measured PEFR three times a day (6 pm, at bedtime and on waking), for one day, at home. Five PEF measurements were made serially and the best readings were considered. Variability of PFE was calculated for 24 hours, as assessed by maximal amplitude. The results were summited to statistical analysis of the Laboratorio de Informática Médica da Faculdade de Medicina da USP. The results of PEFR and it's variability were compared to spirometry, (functional score, FEV1-forced expiratory volume in the first second) and to the clinical score of the International Consensus for Asthma Diagnosis and Management. In case of disagreement between the clinical parameters, the more severe one was chosen. The clinical score classified 20.3% of our patients as mild obstruction, 49.2% as moderate and 30.5% as severely compromised. According to FEV1, 58% of patients were classified as normal while the PEFR and its variability classified as normal 76% and 71%. The PEFR and it's variability in 24 hours, correlated with the VEF1, as gold standard, showed good specificity, 91% and 76% respectively and low sensibility, 44% and 32%. It was detected a low level of agreement between FEV1, PEFR and it's variability in 24 hours, in the clinical severity classification of asthma. The results of this study showed that FEV1 and PEFR had a low level of agreement in the clinical severity classification of asthma and when they were correlated to the clinical score of the International Consensus, they both presented low sensitivity.

  20. Corrected Mental Age Scores for the Stanford-Binet Intelligence Scale

    ERIC Educational Resources Information Center

    Shorr, David N.; And Others

    1977-01-01

    Discrepancies between the mental age (MA) scores and the mean performance of chronological age (CA) groups in the latest revision of the Stanford-Binet Intelligence Scale are noted. A table is presented for converting published Stanford-Binet MA scores into MA scores that are congruent with the above definition. (Author)

  1. Optimal query-based relevance feedback in medical image retrieval using score fusion-based classification.

    PubMed

    Behnam, Mohammad; Pourghassem, Hossein

    2015-04-01

    In this paper, a new content-based medical image retrieval (CBMIR) framework using an effective classification method and a novel relevance feedback (RF) approach are proposed. For a large-scale database with diverse collection of different modalities, query image classification is inevitable due to firstly, reducing the computational complexity and secondly, increasing influence of data fusion by removing unimportant data and focus on the more valuable information. Hence, we find probability distribution of classes in the database using Gaussian mixture model (GMM) for each feature descriptor and then using the fusion of obtained scores from the dependency probabilities, the most relevant clusters are identified for a given query. Afterwards, visual similarity of query image and images in relevant clusters are calculated. This method is performed separately on all feature descriptors, and then the results are fused together using feature similarity ranking level fusion algorithm. In the RF level, we propose a new approach to find the optimal queries based on relevant images. The main idea is based on density function estimation of positive images and strategy of moving toward the aggregation of estimated density function. The proposed framework has been evaluated on ImageCLEF 2005 database consisting of 10,000 medical X-ray images of 57 semantic classes. The experimental results show that compared with the existing CBMIR systems, our framework obtains the acceptable performance both in the image classification and in the image retrieval by RF.

  2. Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images

    PubMed Central

    Fehr, Duc; Veeraraghavan, Harini; Wibmer, Andreas; Gondo, Tatsuo; Matsumoto, Kazuhiro; Vargas, Herbert Alberto; Sala, Evis; Hricak, Hedvig; Deasy, Joseph O.

    2015-01-01

    Noninvasive, radiological image-based detection and stratification of Gleason patterns can impact clinical outcomes, treatment selection, and the determination of disease status at diagnosis without subjecting patients to surgical biopsies. We present machine learning-based automatic classification of prostate cancer aggressiveness by combining apparent diffusion coefficient (ADC) and T2-weighted (T2-w) MRI-based texture features. Our approach achieved reasonably accurate classification of Gleason scores (GS) 6(3+3) vs. ≥7 and 7(3+4) vs. 7(4+3) despite the presence of highly unbalanced samples by using two different sample augmentation techniques followed by feature selection-based classification. Our method distinguished between GS 6(3+3) and ≥7 cancers with 93% accuracy for cancers occurring in both peripheral (PZ) and transition (TZ) zones and 92% for cancers occurring in the PZ alone. Our approach distinguished the GS 7(3+4) from GS 7(4+3) with 92% accuracy for cancers occurring in both the PZ and TZ and with 93% for cancers occurring in the PZ alone. In comparison, a classifier using only the ADC mean achieved a top accuracy of 58% for distinguishing GS 6(3+3) vs. GS ≥7 for cancers occurring in PZ and TZ and 63% for cancers occurring in PZ alone. The same classifier achieved an accuracy of 59% for distinguishing GS 7(3+4) from GS 7(4+3) occurring in the PZ and TZ and 60% for cancers occurring in PZ alone. Separate analysis of the cancers occurring in TZ alone was not performed owing to the limited number of samples. Our results suggest that texture features derived from ADC and T2-w MRI together with sample augmentation can help to obtain reasonably accurate classification of Gleason patterns. PMID:26578786

  3. A comparison between MRI, sonography and Functional Independence Score in Haemophilia methods in diagnosis, evaluation and classification of arthropathy in severe haemophilia A and B.

    PubMed

    Tasbihi, Mandana; Pishdad, Parisa; Haghpanah, Sezaneh; Ardeshiri, Rezvan; Tavoosi, Hakimeh; Karimi, Mehran

    2016-03-01

    Evaluation of joints in children with haemophilia is important in detecting abnormalities, staging their severity and following the effects of treatment. The aim of this study is to evaluate the correlation of FISH score (Functional Independence Score in Haemophilia) with the scores obtained by MRI and sonography for the diagnosis, evaluation and classification of arthropathy in severe haemophilia. In this cross-sectional study on 25 severe haemophilia patients, FISH, MRI and sonography procedures were performed in the elbow or knee joint. All patients' information, including age, type of haemophilia, affected joint, scores of MRI, sonography and FISH, dose of factor consumed, weight and prophylaxis protocol were collected and analysed. Among the 25 patients (age range of 11-70 years), 22 patients were haemophilia A and three patients were haemophilia B. Affected joints were right knee in 12 patients, left knee in nine and right elbow in four. There was only a statistically significant negative correlation between FISH and MRI Additive (A) scale (rs = -0.537, P = 0.006). Considering cartilage loss domain (related MRI A scale: 13-20), 20 patients (80%) were classified in this group with FISH scores ranged from 17 to 22. On the basis of our results, FISH scores in severe haemophilia patients were negatively correlated with MRI A scale. Also, it seems that a FISH score less than 22 could be considered as loss of cartilage; however, due to the small number of our patients, it needs further assessment in different populations.

  4. Susceptibility to persistent breeding-induced endometritis in the mare: relationship to endometrial biopsy score and age, and variations between seasons.

    PubMed

    Woodward, E M; Christoffersen, M; Campos, J; Squires, E L; Troedsson, M H T

    2012-08-01

    The objectives were to: (1) investigate the associations of age and endometrial biopsy score with uterine fluid retention after insemination; and (2) determine if a strict classification of susceptibility to persistent breeding-induced endometritis (PBIE) based on biopsy score, endometrial cytology, and fluid retention after inseminations, is consistent over subsequent breeding seasons. In Experiment 1, 57 mares were inseminated with 10(9) freeze-killed sperm during estrus and evaluated for uterine fluid retention 48 h and 96 h after insemination. Comparisons were made between fluid retention and biopsy score or age. In Experiment 2, a subset of 14 mares was classified for susceptibility to persistent breeding-induced endometritis in two subsequent breeding seasons. Biopsy score and age were associated with fluid retention (P < 0.001). In addition, age was related to biopsy score (P < 0.001). Of the mares examined for susceptibility, 36% (5 of 14) changed status during subsequent seasons. Three mares changed to a more severe classification (intermediate to susceptible, or resistant to intermediate), whereas two mares changed to a less severe classification (susceptible to intermediate).

  5. Sound credit scores and financial decisions despite cognitive aging.

    PubMed

    Li, Ye; Gao, Jie; Enkavi, A Zeynep; Zaval, Lisa; Weber, Elke U; Johnson, Eric J

    2015-01-06

    Age-related deterioration in cognitive ability may compromise the ability of older adults to make major financial decisions. We explore whether knowledge and expertise accumulated from past decisions can offset cognitive decline to maintain decision quality over the life span. Using a unique dataset that combines measures of cognitive ability (fluid intelligence) and of general and domain-specific knowledge (crystallized intelligence), credit report data, and other measures of decision quality, we show that domain-specific knowledge and expertise provide an alternative route for sound financial decisions. That is, cognitive aging does not spell doom for financial decision-making in domains where the decision maker has developed expertise. These results have important implications for public policy and for the design of effective interventions and decision aids.

  6. Sound credit scores and financial decisions despite cognitive aging

    PubMed Central

    Li, Ye; Gao, Jie; Enkavi, A. Zeynep; Zaval, Lisa; Weber, Elke U.; Johnson, Eric J.

    2015-01-01

    Age-related deterioration in cognitive ability may compromise the ability of older adults to make major financial decisions. We explore whether knowledge and expertise accumulated from past decisions can offset cognitive decline to maintain decision quality over the life span. Using a unique dataset that combines measures of cognitive ability (fluid intelligence) and of general and domain-specific knowledge (crystallized intelligence), credit report data, and other measures of decision quality, we show that domain-specific knowledge and expertise provide an alternative route for sound financial decisions. That is, cognitive aging does not spell doom for financial decision-making in domains where the decision maker has developed expertise. These results have important implications for public policy and for the design of effective interventions and decision aids. PMID:25535381

  7. Automatic age and gender classification using supervised appearance model

    NASA Astrophysics Data System (ADS)

    Bukar, Ali Maina; Ugail, Hassan; Connah, David

    2016-11-01

    Age and gender classification are two important problems that recently gained popularity in the research community, due to their wide range of applications. Research has shown that both age and gender information are encoded in the face shape and texture, hence the active appearance model (AAM), a statistical model that captures shape and texture variations, has been one of the most widely used feature extraction techniques for the aforementioned problems. However, AAM suffers from some drawbacks, especially when used for classification. This is primarily because principal component analysis (PCA), which is at the core of the model, works in an unsupervised manner, i.e., PCA dimensionality reduction does not take into account how the predictor variables relate to the response (class labels). Rather, it explores only the underlying structure of the predictor variables, thus, it is no surprise if PCA discards valuable parts of the data that represent discriminatory features. Toward this end, we propose a supervised appearance model (sAM) that improves on AAM by replacing PCA with partial least-squares regression. This feature extraction technique is then used for the problems of age and gender classification. Our experiments show that sAM has better predictive power than the conventional AAM.

  8. The Dysexecutive Questionnaire advanced: item and test score characteristics, 4-factor solution, and severity classification.

    PubMed

    Bodenburg, Sebastian; Dopslaff, Nina

    2008-01-01

    The Dysexecutive Questionnaire (DEX, , Behavioral assessment of the dysexecutive syndrome, 1996) is a standardized instrument to measure possible behavioral changes as a result of the dysexecutive syndrome. Although initially intended only as a qualitative instrument, the DEX has also been used increasingly to address quantitative problems. Until now there have not been more fundamental statistical analyses of the questionnaire's testing quality. The present study is based on an unselected sample of 191 patients with acquired brain injury and reports on the data relating to the quality of the items, the reliability and the factorial structure of the DEX. Item 3 displayed too great an item difficulty, whereas item 11 was not sufficiently discriminating. The DEX's reliability in self-rating is r = 0.85. In addition to presenting the statistical values of the tests, a clinical severity classification of the overall scores of the 4 found factors and of the questionnaire as a whole is carried out on the basis of quartile standards.

  9. Age-Related Differences and Heterogeneity in Executive Functions: Analysis of NAB Executive Functions Module Scores.

    PubMed

    Buczylowska, Dorota; Petermann, Franz

    2016-05-01

    Normative data from the German adaptation of the Neuropsychological Assessment Battery were used to examine age-related differences in 6 executive function tasks. A multivariate analysis of variance was employed to investigate the differences in performance in 484 participants aged 18-99 years. The coefficient of variation was calculated to compare the heterogeneity of scores between 10 age groups. Analyses showed an increase in the dispersion of scores with age, varying from 7% to 289%, in all subtests. Furthermore, age-dependent heterogeneity appeared to be associated with age-dependent decline because the subtests with the greatest increase in dispersion (i.e., Mazes, Planning, and Categories) also exhibited the greatest decrease in mean scores. In contrast, scores for the subtests Letter Fluency, Word Generation, and Judgment had the lowest increase in dispersion with the lowest decrease in mean scores. Consequently, the results presented here show a pattern of age-related differences in executive functioning that is consistent with the concept of crystallized and fluid intelligence.

  10. Classification Trees for Quality Control Processes in Automated Constructed Response Scoring.

    ERIC Educational Resources Information Center

    Williamson, David M.; Hone, Anne S.; Miller, Susan; Bejar, Isaac I.

    As the automated scoring of constructed responses reaches operational status, the issue of monitoring the scoring process becomes a primary concern, particularly when the goal is to have automated scoring operate completely unassisted by humans. Using a vignette from the Architectural Registration Examination and data for 326 cases with both human…

  11. [Mini Mental State Examination (MMSE): determination of cutoff scores according to age and educational level].

    PubMed

    Solias, A; Skapinakis, P; Degleris, N; Pantoleon, M; Katirtzoglou, E; Politis, A

    2014-01-01

    For the last 38 years, Mini Mental State Examination (MMSE) has been widely used as a dementia screening measure in everyday clinical practice as well as in both cohort and cross-sectional studies. Its validity and reliability for the Greek population has explicitly been documented. However, the effect of age and education on the subject's performance makes it necessary to reckon them in the estimation of the "cutoff score". The purpose of this study is to estimate the prevalence of dementia in Greek population and determine the "cutoff score" by age and education-corrected norms. Cross sectional study of 630 patients older than 55 years, who live independently in Ilion and Helioupolis Municipalities was conducted, 27.3% of the subjects tested in the study were diagnosed with memory disorder according to their MMSE scores and the validation for the Greek population. The effect of age and education to the subjects' performance was statistically significant (p=.000). The use of standard "cutoff score" was not proved to be useful for the personalized interpretation of the results, as documented by the fact that older individuals with lower education had a poorer performance relatively to younger, highly educated subjects. Comparatively to the group age of 55-60 years, the odds ratio after the age of 75 years varies from 2.58 to 4.91. Regarding the variable factor of education, the odds ratio for the first degree education graduates decreases from 1.43 to 3.19 for the third degree education graduates in comparison with the group of illiterates. In conclusion, the use of the "cutoff score" algorithm and the simultaneous estimation of age and education effect on MMSE score may prove useful for the proper evaluation of MMSE performance. According to the age and education of examine candidates in the community and the primary care, we propose the use of the 25th percentile as a more useful cutoff score in order to decrease the false positive results.

  12. The relationship of scoring treatment and age in perceptual-integrative performance.

    PubMed

    Klodin, V M

    1976-07-01

    The present study was designed to reexamine the hypothesis that timed perceptual-integrative performance tests are negatively biased measures of the abilities of the elderly. Unlike an earlier study by Doppelt and Wallace (1955) which did not support this hypothesis, the current study consisted of a college-age group in addition to the elderly group, and also included an additional scoring treatment. Each subject was tested with the WAIS Block Design and Object Assembly. Tests were scored in three ways: (1) Standard scoring (WAIS Manual); (2) "regular" scoring (timed, omitting bonus points); (3) "Irregular" scoring (untimed, omitting bonus points). For both tests, Age, Scoring, and the Age by Scoring ineraction were significant. Post hoc analyses for significant effects suggest that the elderly are helped most by additional solution time, whereas younger adults derive greater benefits from the bonus points for quick performance. The results also suggest that subjects must be of sufficiently high ability to effectively use increased or unlimited solution time.

  13. Ossification score is a better indicator of maturity related changes in eating quality than animal age.

    PubMed

    Bonny, S P F; Pethick, D W; Legrand, I; Wierzbicki, J; Allen, P; Farmer, L J; Polkinghorne, R J; Hocquette, J-F; Gardner, G E

    2016-04-01

    Ossification score and animal age are both used as proxies for maturity-related collagen crosslinking and consequently decreases in beef tenderness. Ossification score is strongly influenced by the hormonal status of the animal and may therefore better reflect physiological maturity and consequently eating quality. As part of a broader cross-European study, local consumers scored 18 different muscle types cooked in three ways from 482 carcasses with ages ranging from 590 to 6135 days and ossification scores ranging from 110 to 590. The data were studied across three different maturity ranges; the complete range of maturities, a lesser range and a more mature range. The lesser maturity group consisted of carcasses having either an ossification score of 200 or less or an age of 987 days or less with the remainder in the greater maturity group. The three different maturity ranges were analysed separately with a linear mixed effects model. Across all the data, and for the greater maturity group, animal age had a greater magnitude of effect on eating quality than ossification score. This is likely due to a loss of sensitivity in mature carcasses where ossification approached and even reached the maximum value. In contrast, age had no relationship with eating quality for the lesser maturity group, leaving ossification score as the more appropriate measure. Therefore ossification score is more appropriate for most commercial beef carcasses, however it is inadequate for carcasses with greater maturity such as cull cows. Both measures may therefore be required in models to predict eating quality over populations with a wide range in maturity.

  14. Classification of heterodimer interfaces using docking models and construction of scoring functions for the complex structure prediction.

    PubMed

    Tsuchiya, Yuko; Kanamori, Eiji; Nakamura, Haruki; Kinoshita, Kengo

    2009-01-01

    Protein-protein docking simulations can provide the predicted complex structural models. In a docking simulation, several putative structural models are selected by scoring functions from an ensemble of many complex models. Scoring functions based on statistical analyses of heterodimers are usually designed to select the complex model with the most abundant interaction mode found among the known complexes, as the correct model. However, because the formation schemes of heterodimers are extremely diverse, a single scoring function does not seem to be sufficient to describe the fitness of the predicted models other than the most abundant interaction mode. Thus, it is necessary to classify the heterodimers in terms of their individual interaction modes, and then to construct multiple scoring functions for each heterodimer type. In this study, we constructed the classification method of heterodimers based on the discriminative characters between near-native and decoy models, which were found in the comparison of the interfaces in terms of the complementarities for the hydrophobicity, the electrostatic potential and the shape. Consequently, we found four heterodimer clusters, and then constructed the multiple scoring functions, each of which was optimized for each cluster. Our multiple scoring functions were applied to the predictions in the unbound docking.

  15. Dietary compound score and risk of age-related macular degeneration in the Age-Related Eye Disease Study

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Purpose: Because foods provide many nutrients, which may interact with each other to modify risk for multifactorial diseases such as age-related macular degeneration (AMD), we sought to develop a composite scoring system to summarize the combined effect of multiple dietary nutrients on AMD risk. Th...

  16. Combining the ASA Physical Classification System and Continuous Intraoperative Surgical Apgar Score Measurement in Predicting Postoperative Risk.

    PubMed

    Jering, Monika Zdenka; Marolen, Khensani N; Shotwell, Matthew S; Denton, Jason N; Sandberg, Warren S; Ehrenfeld, Jesse Menachem

    2015-11-01

    The surgical Apgar score predicts major 30-day postoperative complications using data assessed at the end of surgery. We hypothesized that evaluating the surgical Apgar score continuously during surgery may identify patients at high risk for postoperative complications. We retrospectively identified general, vascular, and general oncology patients at Vanderbilt University Medical Center. Logistic regression methods were used to construct a series of predictive models in order to continuously estimate the risk of major postoperative complications, and to alert care providers during surgery should the risk exceed a given threshold. Area under the receiver operating characteristic curve (AUROC) was used to evaluate the discriminative ability of a model utilizing a continuously measured surgical Apgar score relative to models that use only preoperative clinical factors or continuously monitored individual constituents of the surgical Apgar score (i.e. heart rate, blood pressure, and blood loss). AUROC estimates were validated internally using a bootstrap method. 4,728 patients were included. Combining the ASA PS classification with continuously measured surgical Apgar score demonstrated improved discriminative ability (AUROC 0.80) in the pooled cohort compared to ASA (0.73) and the surgical Apgar score alone (0.74). To optimize the tradeoff between inadequate and excessive alerting with future real-time notifications, we recommend a threshold probability of 0.24. Continuous assessment of the surgical Apgar score is predictive for major postoperative complications. In the future, real-time notifications might allow for detection and mitigation of changes in a patient's accumulating risk of complications during a surgical procedure.

  17. Child and Mother Client Satisfaction Questionnaire Scores regarding Mental Health Services: Race, Age, and Gender Correlates

    ERIC Educational Resources Information Center

    Copeland, Valire Carr; Koeske, Gary; Greeno, Catherine G.

    2004-01-01

    This study used the Client Satisfaction Questionnaire (CSQ-8) to examine the level of consumer satisfaction with children's (ages 8 to 17 years) outpatient mental health services. Analyses were completed using both individual satisfaction items and a summed scale score. The CSQ scale had satisfactory internal consistency reliability for both…

  18. Thyroid Imaging Reporting and Data System Score Combined with the New Italian Classification for Thyroid Cytology Improves the Clinical Management of Indeterminate Nodules

    PubMed Central

    Bosco, Daniela; Nardi, Francesco; Nesca, Angela; D'Armiento, Eleonora; Guglielmino, Valeria; De Vito, Corrado; Sorrenti, Salvatore; Pironi, Daniele; Tartaglia, Francesco; Arcieri, Stefano; Catania, Antonio; Monti, Massimo; Filippini, Angelo; Ascoli, Valeria

    2017-01-01

    The new Italian cytological classification (2014) of thyroid nodules replaced the TIR3 category of the old classification (2007) with two subclasses, TIR3A and TIR3B, with the aim of reducing the rate of surgery for benign diseases. Moreover, thyroid imaging reporting and data system (TI-RADS) score appears to ameliorate the stratification of the malignancy risk. We evaluated whether the new Italian classification has improved diagnostic accuracy and whether its association with TI-RADS score could improve malignancy prediction. We retrospectively analyzed 70 nodules from 70 patients classified as TIR3 according to the old Italian classification who underwent surgery for histological diagnosis. Of these, 51 were available for cytological revision according to the new Italian cytological classification. Risk of malignancy was determined for TIR3A and TIR3B, TI-RADS score, and their combination. A different rate of malignancy (p = 0.0286) between TIR3A (13.04%) and TIR3B (44.44%) was observed. Also TI-RADS score is significantly (p = 0.003) associated with malignancy. By combining cytology and TI-RADS score, patients could be divided into three groups with low (8.3%), intermediate (21.4%), and high (80%) risk of malignancy. In conclusion, the new Italian cytological classification has an improved diagnostic accuracy. Interestingly, the combination of cytology and TI-RADS score offers a better stratification of the malignancy risk. PMID:28348589

  19. An Inmate Classification System Based on PCL: SV Factor Scores in a Sample of Prison Inmates

    ERIC Educational Resources Information Center

    Wogan, Michael; Mackenzie, Marci

    2007-01-01

    Psychopaths represent a significant management challenge in a prison population. A sample of ninety-five male inmates from three medium security prisons was tested using the Hare Psychopathy Checklist: Screening Version (PCL:SV). Using traditional criteria, 22% of the inmates were classified as psychopaths. Scores on the two factor dimensions of…

  20. Brain Metastases From Breast Carcinoma: Validation of the Radiation Therapy Oncology Group Recursive Partitioning Analysis Classification and Proposition of a New Prognostic Score

    SciTech Connect

    Le Scodan, Romuald Massard, Christophe; Mouret-Fourme, Emmanuelle; Guinebretierre, Jean Marc; Cohen-Solal, Christine; De Lalande, Brigitte; Moisson, Patricia; Breton-Callu, Christelle; Gardner, Miriam; Goupil, Alain; Renody, Nicole; Floiras, Jean Louis; Labib, Alain

    2007-11-01

    Purpose: To validate the Radiation Therapy Oncology Group Recursive Partitioning Analysis (RTOG RPA) classification and determine independent prognostic factors, to create a simple and specific prognostic score for patients with brain metastases (BM) from breast carcinoma treated with whole-brain radiotherapy (WBRT). Methods and Materials: From January 1998 through December 2003, 132 patients with BM from breast carcinoma were treated with WBRT. We analyzed several potential predictors of survival after WBRT: age, Karnofsky performance status, RTOG-RPA class, number of BM, presence and site of other systemic metastases, interval between primary tumor and BM, tumor hormone receptor (HR) status, lymphocyte count, and HER-2 overexpression. Results: A total of 117 patients received exclusive WBRT and were analyzed. Median survival with BM was 5 months. One-year and 2-year survival rates were 27.6% (95% confidence interval [CI] 19.9-36.8%) and 12% (95% CI 6.5-21.2%), respectively. In multivariate analysis, RTOG RPA Class III, lymphopenia ({<=}0.7 x 10{sup 9}/L) and HR negative status were independent prognostic factors for poor survival. We constructed a three-factor prognostic scoring system that predicts 6-month and 1-year rates of overall survival in the range of 76.1-29.5% (p = 0.00033) and 60.9-15.9% (p = 0.0011), respectively, with median survival of 15 months, 5 months, or 3 months for patients with none, one, or more than one adverse prognostic factor(s), respectively. Conclusions: This study confirms the prognostic value of the RTOG RPA classification, lymphopenia, and tumor HR status, which can be used to form a prognostic score for patients with BM from breast carcinoma.

  1. Inclusion of Neuropsychological Scores in Atrophy Models Improves Diagnostic Classification of Alzheimer's Disease and Mild Cognitive Impairment.

    PubMed

    Goryawala, Mohammed; Zhou, Qi; Barker, Warren; Loewenstein, David A; Duara, Ranjan; Adjouadi, Malek

    2015-01-01

    Brain atrophy in mild cognitive impairment (MCI) and Alzheimer's disease (AD) are difficult to demarcate to assess the progression of AD. This study presents a statistical framework on the basis of MRI volumes and neuropsychological scores. A feature selection technique using backward stepwise linear regression together with linear discriminant analysis is designed to classify cognitive normal (CN) subjects, early MCI (EMCI), late MCI (LMCI), and AD subjects in an exhaustive two-group classification process. Results show a dominance of the neuropsychological parameters like MMSE and RAVLT. Cortical volumetric measures of the temporal, parietal, and cingulate regions are found to be significant classification factors. Moreover, an asymmetrical distribution of the volumetric measures across hemispheres is seen for CN versus EMCI and EMCI versus AD, showing dominance of the right hemisphere; whereas CN versus LMCI and EMCI versus LMCI show dominance of the left hemisphere. A 2-fold cross-validation showed an average accuracy of 93.9%, 90.8%, and 94.5%, for the CN versus AD, CN versus LMCI, and EMCI versus AD, respectively. The accuracy for groups that are difficult to differentiate like EMCI versus LMCI was 73.6%. With the inclusion of the neuropsychological scores, a significant improvement (24.59%) was obtained over using MRI measures alone.

  2. Classification Behavior in Children Thirty-Six Months of Age.

    ERIC Educational Resources Information Center

    Shimada, Shoko; Sano, Ryogoro

    The purposes of this study were to examine the development of classification ability in 36 month olds and to clarify the positive relationship between classification ability and general cognitive development. Subjects, 16 Japanese children (8 males, 8 females), were individually tested by the use of 12 colored pictures of animals and vehicles.…

  3. The Visual Scoring of Sleep in Infants 0 to 2 Months of Age

    PubMed Central

    Grigg-Damberger, Madeleine M.

    2016-01-01

    In March 2014, the American Academy of Sleep Medicine (AASM) Board of Directors requested the Scoring Manual Editorial Board develop rules, terminology, and technical specifications for scoring sleep/wake states in full-term infants from birth to 2 mo of age, cognizant of the 1971 Anders, Emde, and Parmelee Manual for Scoring Sleep in Newborns. On July 1, 2015, the AASM published rules for scoring sleep in infants, ages 0–2 mo. This evidence-based review summarizes the background information provided to the Scoring Manual Editorial Board to write these rules. The Anders Manual only provided criteria for coding physiological and behavioral state characteristics in polysomnograms (PSG) of infants, leaving specific sleep scoring criteria to the individual investigator. Other infant scoring criteria have been published, none widely accepted or used. The AASM Scoring Manual infant scoring criteria incorporate modern concepts, digital PSG recording techniques, practicalities, and compromises. Important tenets are: (1) sleep/wake should be scored in 30-sec epochs as either wakefulness (W), rapid eye movement, REM (R), nonrapid eye movement, NREM (N) and transitional (T) sleep; (2) an electroencephalographic (EEG) montage that permits adequate display of young infant EEG is: F3-M2, F4-M1, C3-M2, C4-M1, O1-M2, O2-M1; additionally, recording C3-Cz, Cz-C4 help detect early and asynchronous sleep spindles; (3) sleep onsets are more often R sleep until 2–3 mo postterm; (4) drowsiness is best characterized by visual observation (supplemented by later video review); (5) wide open eyes is the most crucial determinant of W; (6) regularity (or irregularity) of respiration is the single most useful PSG characteristic for scoring sleep stages at this age; (7) trace alternant (TA) is the only relatively distinctive EEG pattern, characteristic of N sleep, and usually disappears by 1 mo postterm replaced by high voltage slow (HVS); (8) sleep spindles first appear 44–48 w

  4. Joint association of Apgar scores and early neonatal symptoms with minor disabilities at school age

    PubMed Central

    Moster, D; Lie, R; Markestad, T

    2002-01-01

    Objective: To examine whether the combination of a low five minute Apgar score and symptoms of neonatal encephalopathy is associated with minor impairments at school age. Design: Population based cohort study. Setting: Norway. Participants: All 727 children of the cohort were born between 1983 and 1987, had normal birth weights, no congenital malformations, and no major neurological abnormalities. The cohort comprised three groups with five minute Apgar scores of 0–3, 4–6, and 7–10, and were followed from birth to 8–13 years of age by combining data from The Medical Birth Registry, questionnaires, hospital discharge summaries, and the National Insurance Scheme. Main outcome measure: Neurodevelopmental impairments such as learning, behavioural, and minor motor difficulties. Results: Children with a five minute Apgar score of 3 or less and signs consistent with neonatal encephalopathy had a significantly increased risk of developing minor motor impairments (odds ratio (OR) 12.8, 95% confidence interval (CI) 2.6 to 63.2), epilepsy (OR 7.0, 95% CI 1.3 to 39.2), need of extra resources in kindergarten (OR 7.0, 95% CI 1.3 to 39.2) or at school (OR 3.4, 95% CI 1.8 to 6.3), and had reduced performance in reading (OR 4.6, 95% CI 2.3 to 9.5) and mathematics (OR 3.3, 95% CI 1.5 to 7.3), compared with children with normal Apgar scores and no neonatal symptoms. They also more often had problems related to tractability, aggressivity, passivity, anxiety, academic performance, and fine motor development. Conclusion: Children with low Apgar scores and subsequent signs of cerebral depression who do not develop cerebral palsy may still have an increased risk of developing a variety of neurodevelopmental impairments and learning difficulties. PMID:11815542

  5. Assessment of gestational age in the Cameroonian newborn infant: a comparison of four scoring methods.

    PubMed

    Sunjoh, F; Njamnshi, A K; Tietche, F; Kago, I

    2004-10-01

    A clinical assessment of gestational age using four different methods was performed in the same population of 358 Cameroonian newborn infants with the aim of determining the most applicable in the local context. Method applicability was compared in terms of validity, accuracy, reliability, and ease of administration. The gestational age ranged from 25 to 44 weeks. The infants were evaluated within 72 h from birth, using the scoring methods of Farr (FSM), Dubowitz (DSM), Ballard (New Ballard Score--NBS) and Eregie (ESM). The DSM was the most valid with a 93 per cent agreement within +/-2 weeks of gestational age by dates followed by the ESM with 92.4 per cent. The NBS and the FSM showed lower validity of 85.6 per cent and 78.3 per cent respectively. The ESM was the most accurate with a mean difference (MD) in weeks (+/-1 SD) between gestational age by method and gestational age by dates of 0.259+/-1.376, followed by the NBS with 0.355+/-1.51. The DSM was fairly accurate with a MD of 0.500+/-1.31, and the FSM the least accurate with a MD of 1.228+/-1.495. The DSM was the most reliable with a high correlation coefficient (r) of 0.94. The NBS and the ESM had comparable reliability with correlation coefficient of 0.93 each. The easiest to administer was the ESM, completed in an average of 41 s, followed by the FSM in 1 min 22 s. The NBS was completed in 2 min 48 s and the DSM in 4 min 28 s. We concluded that the Eregie model has comparable validity and reliability to the Dubowitz score but is more accurate, simple, and very easy to administer. It is therefore recommended where the workload is heavy and health personnel limited, as is the case in developing countries.

  6. Academic performance and intelligence scores of primary school-aged children with sickle cell anemia.

    PubMed

    Ezenwosu, Osita; Emodi, Ifeoma; Ikefuna, Anthony; Chukwu, Barth

    2013-11-01

    Children with sickle cell anemia (SCA) are faced with complications which may interfere with their educational activities including academic performance. Reports on their academic performance are mainly from developed countries and the results have been inconsistent. This study aimed to determine the academic performance of primary school-aged children with SCA in Nigeria and compare findings with a group of controls. Ninety children with SCA aged 5-11 years were consecutively recruited at the SCA clinic of UNTH Enugu and their age- and sex-matched normal classmates were enrolled as controls. Academic performance of the children with SCA was studied using the overall scores achieved in the three term examinations in the preceding academic year (2009/2010), while their intelligence quotient (IQ) was determined using the Draw-A-Person Test. The findings were compared with that of 90 controls. The mean overall academic score of the children with SCA of 62.71 ± 19.43% was similar to 67.47 ± 16.42% in the controls (P = .077). However, a significantly higher number of children with SCA (32.2% vs. 16.7% of the controls; P = .015) scored below 50%, thus, had poor performance. The mean IQ of the subjects (91.41 ±16.61%) was similar to that of the controls (95.56 ±17.31%, P = .103). However, more SCA patients had lower IQ scores than controls though not statistically significant (P = 0.083). The overall academic performance of children with SCA, therefore, compares favorably with that of controls although there is a higher prevalence of poor performance among them.

  7. Correlations Between the Porteus Maze Test Qualitative Score and Age and Recidivism Rates of Female Correctional Inmates.

    ERIC Educational Resources Information Center

    Pearson, Virginia L.

    This study investigated correlations between the Qualitative score of the Porteus Maze Test and age and rates of recidivism of correctional institution inmates. In addition, the study was structured to provide answers to the following questions: (1) Is there a relationship between age and rates of recidivism and the Conformity-Variability score of…

  8. Malingering in toxic exposure: classification accuracy of reliable digit span and WAIS-III Digit Span scaled scores.

    PubMed

    Greve, Kevin W; Springer, Steven; Bianchini, Kevin J; Black, F William; Heinly, Matthew T; Love, Jeffrey M; Swift, Douglas A; Ciota, Megan A

    2007-03-01

    This study examined the sensitivity and false-positive error rate of reliable digit span (RDS) and the WAIS-III Digit Span (DS) scaled score in persons alleging toxic exposure and determined whether error rates differed from published rates in traumatic brain injury (TBI) and chronic pain (CP). Data were obtained from the files of 123 persons referred for neuropsychological evaluation related to alleged exposure to environmental and industrial substances. Malingering status was determined using the criteria of Slick, Sherman, and Iverson (1999). The sensitivity and specificity of RDS and DS in toxic exposure are consistent with those observed in TBI and CP. These findings support the use of these malingering indicators in cases of alleged toxic exposure and suggest that the classification accuracy data of indicators derived from studies of TBI patients may also be validly applied to cases of alleged toxic exposure.

  9. Validation of functional fetal autonomic brain age score fABAS in 5 min short recordings.

    PubMed

    Hoyer, Dirk; Schneider, Uwe; Kowalski, Eva-Maria; Schmidt, Alexander; Witte, Otto W; Schleußner, Ekkehard; Hatzmann, Wolfgang; Grönemeyer, Dietrich Hw; van Leeuwen, Peter

    2015-11-01

    With the objective of evaluating the functional maturation age and developmental disturbances we have previously introduced the fetal autonomic brain age score (fABAS) using 30 min fetal magnetocardiographic recordings (fMCG, Jena). The score is based on heart rate pattern indices that are related to universal principles of developmental biology. The present work aims at the validation of the fABAS methodology on 5 min recordings from an independent database (fMCG, Bochum).We found high agreement of fABAS obtained from Jena normal fetuses (5 min subsets, n =  364) and Bochum recordings (n =  322, normal fetuses). fABAS of 48 recordings from fetuses with intra-uterine growth restriction (IUGR, Bochum) was reduced in most of the cases, a result consistent with IUGR fetuses from Jena previously reported. fABAS calculated from 5 min snapshots only partly covers the accuracy when compared to fABAS from 30 min recordings. More precise diagnosis requires longer recordings.fABAS obtained from fMCG recordings is a strong candidate for standardized assessment of functional maturation age and developmental disturbances. Even 5 min recordings seem to be valuable for screening for maturation problems.

  10. Fetal autonomic brain age scores, segmented heart rate variability analysis, and traditional short term variability

    PubMed Central

    Hoyer, Dirk; Kowalski, Eva-Maria; Schmidt, Alexander; Tetschke, Florian; Nowack, Samuel; Rudolph, Anja; Wallwitz, Ulrike; Kynass, Isabelle; Bode, Franziska; Tegtmeyer, Janine; Kumm, Kathrin; Moraru, Liviu; Götz, Theresa; Haueisen, Jens; Witte, Otto W.; Schleußner, Ekkehard; Schneider, Uwe

    2014-01-01

    Disturbances of fetal autonomic brain development can be evaluated from fetal heart rate patterns (HRP) reflecting the activity of the autonomic nervous system. Although HRP analysis from cardiotocographic (CTG) recordings is established for fetal surveillance, temporal resolution is low. Fetal magnetocardiography (MCG), however, provides stable continuous recordings at a higher temporal resolution combined with a more precise heart rate variability (HRV) analysis. A direct comparison of CTG and MCG based HRV analysis is pending. The aims of the present study are: (i) to compare the fetal maturation age predicting value of the MCG based fetal Autonomic Brain Age Score (fABAS) approach with that of CTG based Dawes-Redman methodology; and (ii) to elaborate fABAS methodology by segmentation according to fetal behavioral states and HRP. We investigated MCG recordings from 418 normal fetuses, aged between 21 and 40 weeks of gestation. In linear regression models we obtained an age predicting value of CTG compatible short term variability (STV) of R2 = 0.200 (coefficient of determination) in contrast to MCG/fABAS related multivariate models with R2 = 0.648 in 30 min recordings, R2 = 0.610 in active sleep segments of 10 min, and R2 = 0.626 in quiet sleep segments of 10 min. Additionally segmented analysis under particular exclusion of accelerations (AC) and decelerations (DC) in quiet sleep resulted in a novel multivariate model with R2 = 0.706. According to our results, fMCG based fABAS may provide a promising tool for the estimation of fetal autonomic brain age. Beside other traditional and novel HRV indices as possible indicators of developmental disturbances, the establishment of a fABAS score normogram may represent a specific reference. The present results are intended to contribute to further exploration and validation using independent data sets and multicenter research structures. PMID:25505399

  11. GMM-based speaker age and gender classification in Czech and Slovak

    NASA Astrophysics Data System (ADS)

    Přibil, Jiří; Přibilová, Anna; Matoušek, Jindřich

    2017-01-01

    The paper describes an experiment with using the Gaussian mixture models (GMM) for automatic classification of the speaker age and gender. It analyses and compares the influence of different number of mixtures and different types of speech features used for GMM gender/age classification. Dependence of the computational complexity on the number of used mixtures is also analysed. Finally, the GMM classification accuracy is compared with the output of the conventional listening tests. The results of these objective and subjective evaluations are in correspondence.

  12. Normative bone mineral density z-scores for Canadians aged 16 to 24 years: the Canadian Multicenter Osteoporosis Study.

    PubMed

    Zhou, Wei; Langsetmo, Lisa; Berger, Claudie; Adachi, Jonathan D; Papaioannou, Alexandra; Ioannidis, George; Webber, Colin; Atkinson, Stephanie A; Olszynski, Wojciech P; Brown, Jacques P; Hanley, David A; Josse, Robert; Kreiger, Nancy; Prior, Jerilynn; Kaiser, Stephanie; Kirkland, Susan; Goltzman, David; Davison, Kenneth Shawn

    2010-01-01

    The objectives of the study were to develop bone mineral density (BMD) reference norms and BMD Z-scores at various skeletal sites, to determine whether prior fracture and/or asthma were related to BMD, and to assess possible geographic variation of BMD among Canadian youth aged 16-24 yr. Z-Scores were defined as the number of standard deviations from the mean BMD of a healthy population of the same age, race, and sex. Z-Scores were calculated using the reference sample defined as Canadian Caucasian participants without asthma or prior fracture. Reference standards were created for lumbar spine (L1-L4), femoral neck, total hip, and greater trochanter, by each year of age (16-24 yr), and by sex. The Z-score norms were developed for groups noted earlier. Mean Z-scores between the asthma or fracture subgroups compared with the mean Z-scores in the reference sample were not different. There were minor differences in mean BMD across different Canadian geographic regions. This study provides age, sex, and skeletal site-specific Caucasian reference norms and formulae for the calculation of BMD Z-scores for Canadian youth aged 16-24 yr. This information will be valuable to help to identify individuals with clinically meaningful low BMD.

  13. A New Classification System To Describe the Ageing of Scientific Journals and Their Impact Factors.

    ERIC Educational Resources Information Center

    Moed, H. F.; Van Leeuwen, Th. N.; Reedijk, J.

    1998-01-01

    Aging patterns are examined in "formal" use or impact of all scientific journals processed for the "Science Citation Index" during 1981 to 1995. A new classification system of journals in terms of their aging characteristics is introduced. It is shown that the cited half-life, printed in the "Journal Citation…

  14. The Ross classification for heart failure in children after 25 years: a review and an age-stratified revision.

    PubMed

    Ross, Robert D

    2012-12-01

    Accurate grading of the presence and severity of heart failure (HF) signs and symptoms in infants and children remains challenging. It has been 25 years since the Ross classification was first used for this purpose. Since then, several modifications of the system have been used and others proposed. New evidence has shown that in addition to signs and symptoms, data from echocardiography, exercise testing, and biomarkers such as N-terminal pro-brain natriuretic peptide (NT-proBNP) all are useful in stratifying outcomes for children with HF. It also is apparent that grading of signs and symptoms in children is dependent on age because infants manifest HF differently than toddlers and older children. This review culminates in a proposed new age-based Ross classification for HF in children that incorporates the most useful data from the last two decades. Testing of this new system will be important to determine whether an age-stratified scoring system can unify the way communication of HF severity and research on HF in children is performed in the future.

  15. Assessing Growth in Young Children: A Comparison of Raw, Age-Equivalent, and Standard Scores Using the Peabody Picture Vocabulary Test

    ERIC Educational Resources Information Center

    Sullivan, Jeremy R.; Winter, Suzanne M.; Sass, Daniel A.; Svenkerud, Nicole

    2014-01-01

    Many tests provide users with several different types of scores to facilitate interpretation and description of students' performance. Common examples include raw scores, age- and grade-equivalent scores, and standard scores. However, when used within the context of assessing growth among young children, these scores should not be interchangeable…

  16. Normative Data on Nasalance Scores for Swedish as Measured on the Nasometer: Influence of Dialect, Gender, and Age

    ERIC Educational Resources Information Center

    Brunnegard, Karin; van Doorn, Jan

    2009-01-01

    This study was conducted to establish normative nasalance values for Swedish speaking children as measured with the Nasometer[TM] II, and to investigate differences due to regional dialect, gender, and age. Two hundred and twenty healthy children aged 4-5, 6-7, and 9-11 years were included. Group mean nasalance scores for four speech stimuli were…

  17. “Weathering” and Age Patterns of Allostatic Load Scores Among Blacks and Whites in the United States

    PubMed Central

    Geronimus, Arline T.; Hicken, Margaret; Keene, Danya; Bound, John

    2006-01-01

    Objectives. We considered whether US Blacks experience early health deterioration, as measured across biological indicators of repeated exposure and adaptation to stressors. Methods. Using National Health and Nutrition Examination Survey data, we examined allostatic load scores for adults aged 18–64 years. We estimated probability of a high score by age, race, gender, and poverty status and Blacks’ odds of having a high score relative to Whites’ odds. Results. Blacks had higher scores than did Whites and had a greater probability of a high score at all ages, particularly at 35–64 years. Racial differences were not explained by poverty. Poor and nonpoor Black women had the highest and second highest probability of high allostatic load scores, respectively, and the highest excess scores compared with their male or White counterparts. Conclusions. We found evidence that racial inequalities in health exist across a range of biological systems among adults and are not explained by racial differences in poverty. The weathering effects of living in a race-conscious society may be greatest among those Blacks most likely to engage in high-effort coping. PMID:16380565

  18. Putting Predictive Models to Use: Scoring of Unseen Streaming Data using a Multivariate Time Series Classification Tool

    NASA Astrophysics Data System (ADS)

    Sipes, T.; Karimabadi, H.; Imber, S. M.; Slavin, J. A.; Pothier, N. M.; Coeli, R.

    2013-12-01

    Advances in data collection and data storage technologies have made the assembly of multivariate time series data more common. Data analysis and extraction of knowledge from such massive and complex datasets encountered in space physics today present a major obstacle to fully utilizing our vast data repositories and to scientific progress. In the previous years we introduced a time series classification tool MineTool-TS [Karimabadi et al, 2009] and its extension to simulation and streaming data [Sipes& Karimabadi, 2012, 2013]. In this work we demonstrate the applicability and real world utility of the predictive models created using the tool to scoring and labeling of a large dataset of unseen, streaming data. Predictive models that are created are based on the assumption that the training data used to create them is a true representative of the population. Multivariate time series datasets are also characterized by large amounts of variability and potential background noise. Moreover, there are multiple issues being raised by the streaming nature of the data. In this work we illustrate how we dealt with these challenges and demonstrate the results in a study of flux ropes in the plasma sheet. We have used an iterative process of building a predictive model using the original labeled training set, tested it on a week worth of streaming data, had the results checked by a scientific expert in the domain, and fed the results and the labels back into the training set, creating a large training set and using it to produce the final model. This final model was then put to use to predict a very large, unseen, six month period of streaming data. In this work we present the results of our machine learning approach to automatically detect flux ropes in spacecraft data.

  19. Vocational Rehabilitation of Transition-Age Youth with Disabilities: A Propensity-Score Matched Study.

    PubMed

    Langi, F L Fredrik G; Oberoi, Ashmeet; Balcazar, Fabricio E; Awsumb, Jessica

    2017-03-01

    Objective To investigate the employment outcomes of vocational rehabilitation (VR) services for youth with disabilities in a targeted, enhanced, and contract-based secondary transition program as compared to the traditional VR transition services. Methods A population-based study was conducted on 4422 youth with physical, intellectual, learning, mental and hearing disabilities aged 14-21 at application and whose case was closed after receiving VR transition services in a Midwestern state. Selected youth were classified into either targeted secondary transition program (START) or non-START treatment group. The employment outcomes of the groups were compared using propensity-score matching procedures. Results 2211 youth with disabilities in each treatment group were successfully matched based on demographic characteristics, types of disabilities, existence of severe functional limitations, and year of referral. The overall rehabilitation rate was 57 % [95 % confidence interval (CI) 56-59 %], where the START group rate was 61 % (95 % CI 59-63 %) and the non-START group 53 % (95 % CI 51-55 %). The propensity-score matched odds ratio (OR) was 1.40 (95 % CI 1.24-1.58; p < 0.001). Subgroup analyses showed that the odds of rehabilitation in youth with disabilities were consistently higher when they were in START as compared to non-START (OR ranged from 1.27 to 1.92 with p < 0.05 except for the Hispanic subgroup). Conclusion The results suggest that VR services in a targeted, enhanced, and contract-based secondary transition program are more effective in transitioning youth with disabilities to employment than the regular VR transition services.

  20. Classification

    ERIC Educational Resources Information Center

    Clary, Renee; Wandersee, James

    2013-01-01

    In this article, Renee Clary and James Wandersee describe the beginnings of "Classification," which lies at the very heart of science and depends upon pattern recognition. Clary and Wandersee approach patterns by first telling the story of the "Linnaean classification system," introduced by Carl Linnacus (1707-1778), who is…

  1. Adjusted Age-Adjusted Charlson Comorbidity Index Score as a Risk Measure of Perioperative Mortality before Cancer Surgery

    PubMed Central

    Chang, Chun-Ming; Yin, Wen-Yao; Wei, Chang-Kao; Wu, Chin-Chia; Su, Yu-Chieh; Yu, Chia-Hui; Lee, Ching-Chih

    2016-01-01

    Background Identification of patients at risk of death from cancer surgery should aid in preoperative preparation. The purpose of this study is to assess and adjust the age-adjusted Charlson comorbidity index (ACCI) to identify cancer patients with increased risk of perioperative mortality. Methods We identified 156,151 patients undergoing surgery for one of the ten common cancers between 2007 and 2011 in the Taiwan National Health Insurance Research Database. Half of the patients were randomly selected, and a multivariate logistic regression analysis was used to develop an adjusted-ACCI score for estimating the risk of 90-day mortality by variables from the original ACCI. The score was validated. The association between the score and perioperative mortality was analyzed. Results The adjusted-ACCI score yield a better discrimination on mortality after cancer surgery than the original ACCI score, with c-statics of 0.75 versus 0.71. Over 80 years of age, 70–80 years, and renal disease had the strongest impact on mortality, hazard ratios 8.40, 3.63, and 3.09 (P < 0.001), respectively. The overall 90-day mortality rates in the entire cohort varied from 0.9%, 2.9%, 7.0%, and 13.2% in four risk groups stratifying by the adjusted-ACCI score; the adjusted hazard ratio for score 4–7, 8–11, and ≥ 12 was 2.84, 6.07, and 11.17 (P < 0.001), respectively, in 90-day mortality compared to score 0–3. Conclusions The adjusted-ACCI score helps to identify patients with a higher risk of 90-day mortality after cancer surgery. It might be particularly helpful for preoperative evaluation of patients over 80 years of age. PMID:26848761

  2. RBANS memory percentage retention: No evidence of incremental validity beyond RBANS scores for diagnostic classification of mild cognitive impairment and dementia and for prediction of daily function.

    PubMed

    Jodouin, Kara A; O'Connell, Megan E; Morgan, Debra G

    2016-06-09

    RBANS percentage retention scores may be useful for diagnosis, but their incremental validity is unclear. Percentage retention versus RBANS immediate and delayed memory subtests and delayed index scores were compared for diagnostic classification and for prediction of function. Data from 173 memory clinic patients with an interdisciplinary diagnosis (no cognitive impairment, amnestic mild cognitive impairment [aMCI], and dementia due to Alzheimer's disease [AD]) and complete RBANS data were analyzed. Across diagnostic contrasts, list percentage retention classification accuracy was similar to List Learning delayed recall, but below the Delayed Memory Index (DMI). Similarly, for classifying no cognitive impairment versus aMCI or dementia due to AD, story percentage retention was similar to Story Memory subtests and below the DMI. For classifying aMCI versus AD; however, Story Memory exceeded the DMI, but was similar to Story Memory subtest scores. Similarly, for prediction of function percentage retention measures did not predict variance beyond that predicted by the RBANS subtest or index scores. In sum, there is no evidence that calculation of percentage retention for RBANS adds clinical utility beyond those provided by the standard RBANS scores.

  3. Age and education effects on relationships of cognitive test scores with brain structure in demographically diverse older persons.

    PubMed

    Mungas, Dan; Reed, Bruce R; Farias, Sarah Tomaszewski; Decarli, Charles

    2009-03-01

    This study examined how age and education influence the relationship between neuropsychological test scores and brain structure in demographically diverse older adults spanning the range from normal cognition to dementia. A sample of 351 African Americans, 410 Hispanics, and 458 Whites underwent neuropsychological testing. Volumetric magnetic resonance imaging (MRI) measures of total brain, white matter hyperintensity, and hippocampus were available for 79 African Americans, 102 Hispanics, and 134 Whites. The authors used latent variable modeling to examine effects of age, education, and brain volumes on test scores and determine how much variance brain volumes explained in unadjusted and age- and education-adjusted scores. Age adjustment resulted in weaker relationships of test scores with MRI variables; adjustment for ethnicity yielded stronger relationships. Education adjustment increased relationships with MRI variables in the combined sample and Hispanics, made no difference in Whites, but decreased some associations in African Americans. Results suggest that demographic adjustment is beneficial when demographic variables are strongly related to test scores independent of measures of brain structure, but adjustment has negative consequences when effects of demographic characteristics are mediated by brain structure.

  4. Correlates of Attachment at Age 3: Construct Validity of the Preschool Attachment Classification System

    ERIC Educational Resources Information Center

    Moss, Ellen; Bureau, Jean-Francois; Cyr, Chantal; Mongeau, Chantal; St-Laurent, Diane

    2004-01-01

    This study examined correlates of attachment at age 3 to further validate preschool separation-reunion measures. Three-year-olds (N = 150) and their mothers participated in a separation-reunion protocol, the Preschool Attachment Classification System (PACS: J. Cassidy & R. S. Marvin with the MacArthur Working Group on Attachment, 1992), and a…

  5. Predicting cattle age from eye lens weight and nitrogen content, dentition, and United States Department of Agriculture maturity score.

    PubMed

    Raines, C R; Dikeman, M E; Unruh, J A; Hunt, M C; Knock, R C

    2008-12-01

    This research explores the relationship between generally accepted and alternative cattle age-prediction methods and chronological age. Cattle (n = 386) of documented ages ranging from 370 to 1,115 d of age were used. Dentition (DEN), USDA maturity score (MS), lens weight (LW), and lens total N (LN) content were used as possible predictors of age. Correlations with age were determined: LW (r = 0.77); DEN (r = 0.74); LN (r = 0.71); and MS (r = 0.64). Stepwise backward regression was used to generate an age prediction equation: Age (mo) = -21.79 + 17.23(LW, g) + 0.038(DEN). By this equation, 38% of cattle age were verified as age. Independent measures verified the following percentages of cattle as age: LW (20.2%), MS (11.0%), DEN (9.6%), and LN (8.7%). The DEN verified that 87.6% were verified as <30 mo old, and LW verified 81.6% of cattle as <30 mo old. A separate group of cattle (n = 18) ranging in age from 1 to 12 yr were evaluated for lens properties, for which LW (R(2) = 0.91) and LN (R(2) = 0.92) were highly correlated with age. The LW and DEN were the best predictors of age for cattle 13- to 37-mo-old and yielded the most accurate age prediction when used in combination (R(2) = 0.67).

  6. Classification of normal and pathological aging processes based on brain MRI morphology measures

    NASA Astrophysics Data System (ADS)

    Perez-Gonzalez, J. L.; Yanez-Suarez, O.; Medina-Bañuelos, V.

    2014-03-01

    Reported studies describing normal and abnormal aging based on anatomical MRI analysis do not consider morphological brain changes, but only volumetric measures to distinguish among these processes. This work presents a classification scheme, based both on size and shape features extracted from brain volumes, to determine different aging stages: healthy control (HC) adults, mild cognitive impairment (MCI), and Alzheimer's disease (AD). Three support vector machines were optimized and validated for the pair-wise separation of these three classes, using selected features from a set of 3D discrete compactness measures and normalized volumes of several global and local anatomical structures. Our analysis show classification rates of up to 98.3% between HC and AD; of 85% between HC and MCI and of 93.3% for MCI and AD separation. These results outperform those reported in the literature and demonstrate the viability of the proposed morphological indexes to classify different aging stages.

  7. An Examination of the RCMAS-2 Scores across Gender, Ethnic Background, and Age in a Large Asian School Sample

    ERIC Educational Resources Information Center

    Ang, Rebecca P.; Lowe, Patricia A.; Yusof, Noradlin

    2011-01-01

    The present study investigated the factor structure, reliability, convergent and discriminant validity, and U.S. norms of the Revised Children's Manifest Anxiety Scale, Second Edition (RCMAS-2; C. R. Reynolds & B. O. Richmond, 2008a) scores in a Singapore sample of 1,618 school-age children and adolescents. Although there were small…

  8. Inverse correlation of genetic risk score with age at onset in bout-onset and progressive-onset multiple sclerosis.

    PubMed

    Sorosina, Melissa; Esposito, Federica; Guaschino, Clara; Clarelli, Ferdinando; Barizzone, Nadia; Osiceanu, Ana Maria; Brambilla, Paola; Mascia, Elisabetta; Cavalla, Paola; Gallo, Paolo; Martinelli, Vittorio; Leone, Maurizio; Comi, Giancarlo; D'Alfonso, Sandra; Martinelli Boneschi, Filippo

    2015-10-01

    We correlated the weighted genetic risk score measured using 107 established susceptibility variants for multiple sclerosis (MS) with the age at onset in bout-onset (BOMS, n=906) and progressive-onset MS Italian patients (PrMS) (n=544). We observed an opposite relationship in the two disease courses: a higher weighted genetic risk score was associated with an earlier age at onset in BOMS (rho= -0.1; p=5 × 10(-3)) and a later age at onset in PrMS cases (rho=0.07; p=0.15) (p of difference of regression=1.4 × 10(-2)). These findings suggest that established MS risk variants anticipate the onset of the inflammatory phase, while they have no impact on, or even delay, the onset of the progressive phase.

  9. Weight-for-age standard score - distribution and effect on in-hospital mortality: A retrospective analysis in pediatric cardiac surgery

    PubMed Central

    George, Antony; Jagannath, Pushpa; Joshi, Shreedhar S.; Jagadeesh, A. M.

    2015-01-01

    Objective: To study the distribution of weight for age standard score (Z score) in pediatric cardiac surgery and its effect on in-hospital mortality. Introduction: WHO recommends Standard Score (Z score) to quantify and describe anthropometric data. The distribution of weight for age Z score and its effect on mortality in congenital heart surgery has not been studied. Methods: All patients of younger than 5 years who underwent cardiac surgery from July 2007 to June 2013, under single surgical unit at our institute were enrolled. Z score for weight for age was calculated. Patients were classified according to Z score and mortality across the classes was compared. Discrimination and calibration of the for Z score model was assessed. Improvement in predictability of mortality after addition of Z score to Aristotle Comprehensive Complexity (ACC) score was analyzed. Results: The median Z score was -3.2 (Interquartile range -4.24 to -1.91] with weight (mean±SD) of 8.4 ± 3.38 kg. Overall mortality was 11.5%. 71% and 52.59% of patients had Z score < -2 and < -3 respectively. Lower Z score classes were associated with progressively increasing mortality. Z score as continuous variable was associated with O.R. of 0.622 (95% CI- 0.527 to 0.733, P < 0.0001) for in-hospital mortality and remained significant predictor even after adjusting for age, gender, bypass duration and ACC score. Addition of Z score to ACC score improved its predictability for in-hosptial mortality (δC - 0.0661 [95% CI - 0.017 to 0.0595, P = 0.0169], IDI- 3.83% [95% CI - 0.017 to 0.0595, P = 0.00042]). Conclusion: Z scores were lower in our cohort and were associated with in-hospital mortality. Addition of Z score to ACC score significantly improves predictive ability for in-hospital mortality. PMID:26139742

  10. The Effect of Age at School Entry on Reading Achievement Scores among South Carolina Students.

    ERIC Educational Resources Information Center

    Jones, Molly M.; Mandeville, Garrett K.

    1990-01-01

    Basic Skills Assessment Program reading scores for all South Carolina students in grades 1-3 and 6 were analyzed. Failure to meet state standards was higher among younger, male, Black, and lunch-subsidized students. Risk of failure was still higher for younger students after controls for race, gender and lunch-payment status. (Author/PB)

  11. Body build classification for ordinary schoolgirls (aged 7-18 years) and volleyball girls (aged 13-16 years).

    PubMed

    Kaarma, Helje; Stamm, Raini; Kasmel, Jaan; Koskel, Slide

    2005-03-01

    The article describes two Estonian anthropometric cross-sectional studies of 1549 ordinary schoolgirls (aged 7-18) and 46 girls, who regularly practised volleyball (aged 13-16). Data are presented on 22 basic anthropometric measurements and 6 body composition characteristics (body mass index, mean skinfold, body density, relative mass of fat by Siri, absolute mass and relative mass of subcutaneous adipose tissue). All anthropometric variables were classified into five height-weight SD classes. Schoolgirls were divided into six age groups (7-8, 9-10, 11-12, 13-14, 15-16, 17-18). Volleyballers were observed as one group as their age in SD classes did not differ significantly. The classification consisted of five categories: three height-weight concordant categories: I--small (small height, small weight), II--medium (medium height, medium weight), III large--(big height, big weight) and two height/weight discordant categories: IV--so-called pyknomorphs, V--so-called leptomorphs. To assess the differences between classes the Scheffé-test was used (alpha = 0.05). It proved likewise possible to comparatively systematize length, breadth and depth measurements, circumferences and body composition characteristics in all six age groups (7-18 years) of ordinary schoolgirls and in 13-16-year-old volleyballers as in their case the average age did not differ significantly between the classes.

  12. In-vivo differentiation of photo-aged epidermis skin by texture-based classification

    NASA Astrophysics Data System (ADS)

    Zhang, Xiaoman; Weng, Cuncheng; Yu, Biying; Li, Hui

    2014-11-01

    Two sets of in vivo female cheek skin epidermis images were analyzed through gray level co-occurrence matrix (GLCM) and fast fourier transform (FFT). One set was derived from women in their 20s and the other from women more than 60 years of age. GLCM was used to evaluate the texture features of the regions of interest within the cheek epidermis, and texture classification was subsequently performed. During texture classification, 25 images (320×240 pixels) in each age set were randomly selected. Three texture features, i.e., energy, contrast, and correlation, were obtained from the skin images and analyzed at four orientations (0°, 45°,90°, and 135°), accompanied by different distances between two pixels. The textures of the different aging skins were characterized by FFT, which provides the dermatoglyph orientation index. The differences in the textures between the young and old skin samples can be well described by the FFT dermatoglyph orientation index. The texture features varied among the different aging skins, which provide a versatile platform for differentiating the statuses of aging skins.

  13. Application of the Age, Creatinine, and Left Ventricular Ejection Fraction Score for Patients on Extracorporeal Membrane Oxygenation.

    PubMed

    Tsai, Tsung-Yu; Tsai, Feng-Chun; Fan, Pei-Chun; Chang, Chih-Hsiang; Lin, Chan-Yu; Chang, Wei-Wen; Lee, Shen-Yang; Hsu, Hsiang-Hao; Tian, Ya-Chung; Fang, Ji-Tseng; Yang, Chih-Wei; Chen, Yung-Chang

    2017-02-01

    Patients on extracorporeal membrane oxygenation (ECMO) usually have high mortality rate and poor outcome. Age, Creatinine, and Left Ventricular Ejection Fraction (ACEF) score is an easy-calculating score and provides good performance on mortality prediction in patients undergoing cardiac operations or percutaneous coronary intervention, but it has not been applied to patients on ECMO before. In this study, we aimed to use ACEF score obtained within 1 week of ECMO support for in-hospital mortality prediction in patients on ECMO due to severe myocardial failure. This study reviewed the medical records of 306 patients on ECMO at a specialized intensive care unit (CVSICU) in a tertiary-care university hospital between March 2002 and December 2011, and 105 patients on veno-arterial ECMO due to severe myocardial failure were enrolled. Demographic, clinical, and laboratory variables were retrospectively collected as survival predictors. The overall mortality rate was 47.6%. The most frequent condition requiring ICU admission was postcardiotomy cardiogenic shock. Multiple logistic regression analysis indicated that post-ECMO ACEF score, Sequential Organ Failure Assessment score, and troponin I on day 1 of ECMO support were independent risk factors for in-hospital mortality. Using the area under the receiver operating characteristic curve (AUROC), the post-ECMO ACEF score indicated a good discriminative power (AUROC 0.801 ± 0.042). Finally, cumulative survival rates at 6-month follow-up differed significantly (P < 0.001) for an ACEF score ≤ 2.22 versus those with an ACEF score > 2.22. After ECMO treatment due to severe myocardial failure, post-ECMO ACEF score provides an easy-calculating method with a reproducible evaluation tool with excellent prognostic abilities in these patients.

  14. The Origins of Mental Toughness – Prosocial Behavior and Low Internalizing and Externalizing Problems at Age 5 Predict Higher Mental Toughness Scores at Age 14

    PubMed Central

    Sadeghi Bahmani, Dena; Hatzinger, Martin; Gerber, Markus; Lemola, Sakari; Clough, Peter J.; Perren, Sonja; von Klitzing, Kay; von Wyl, Agnes; Holsboer-Trachsler, Edith; Brand, Serge

    2016-01-01

    Background: The concept of mental toughness (MT) has gained increasing importance among groups other than elite athletes by virtue of its psychological importance and explanatory power for a broad range of health-related behaviors. However, no study has focused so far on the psychological origins of MT. Therefore, the aims of the present study were: to explore, to what extent the psychological profiles of preschoolers aged five were associated with both (1) MT scores and (2) sleep disturbances at age 14, and 3) to explore possible gender differences. Method: Nine years after their first assessment at age five (preschoolers), a total of 77 adolescents (mean age: 14.35 years; SD = 1.22; 42% females) took part in this follow-up study. At baseline, both parents and teachers completed the Strengths and Difficulties Questionnaire (SDQ), covering internalizing and externalizing problems, hyperactivity, negative peer relationships, and prosocial behavior. At follow-up, participants completed a booklet of questionnaires covering socio-demographic data, MT, and sleep disturbances. Results: Higher prosocial behavior, lower negative peer relationships, and lower internalizing and externalizing problems at age five, as rated by parents and teachers, were associated with self-reported higher MT and lower sleep disturbances at age 14. At age 14, and relative to males, females had lower MT scores and reported more sleep disturbances. Conclusion: The pattern of results suggests that MT traits during adolescence may have their origins in the pre-school years. PMID:27605919

  15. Digit span age scaled score in middle-aged military veterans: is it more closely associated with TOMM failure than reliable digit span?

    PubMed

    Whitney, Kriscinda A; Davis, Jeremy J; Shepard, Polly H; Bertram, David M; Adams, Kenneth M

    2009-05-01

    The relative usefulness of two digit span (DS) variables in detecting negative response bias, as defined by below cut-off performance on the Test of Memory Malingering (TOMM), was examined among primarily middle-aged military veteran outpatients who were judged clinically to be at increased risk for displaying negative response bias on cognitive testing. Digit span variables included DS Age Scaled Score (DS Age SS) and Reliable DS. Findings from this retrospective data analysis (N = 46) suggest that DS Age SS is preferable for use over Reliable DS in predicting TOMM failure. Results of the current study suggest that, particularly if the Wechsler scales are an existing part of the neuropsychological assessment, examination of DS Age SS is an efficient means of detecting negative response bias.

  16. Malingering in Toxic Exposure. Classification Accuracy of Reliable Digit Span and WAIS-III Digit Span Scaled Scores

    ERIC Educational Resources Information Center

    Greve, Kevin W.; Springer, Steven; Bianchini, Kevin J.; Black, F. William; Heinly, Matthew T.; Love, Jeffrey M.; Swift, Douglas A.; Ciota, Megan A.

    2007-01-01

    This study examined the sensitivity and false-positive error rate of reliable digit span (RDS) and the WAIS-III Digit Span (DS) scaled score in persons alleging toxic exposure and determined whether error rates differed from published rates in traumatic brain injury (TBI) and chronic pain (CP). Data were obtained from the files of 123 persons…

  17. Landing Error Scoring System Differences Between Single-Sport and Multi-Sport Female High School–Aged Athletes

    PubMed Central

    Beese, Mark E.; Joy, Elizabeth; Switzler, Craig L.; Hicks-Little, Charlie A.

    2015-01-01

    Context Single-sport specialization (SSS) is becoming more prevalent in youth athletes. Deficits in functional movement have been shown to predispose athletes to injury. It is unclear whether a link exists between SSS and the development of functional movement deficits that predispose SSS athletes to an increased risk of knee injury. Objective To determine whether functional movement deficits exist in SSS athletes compared with multi-sport (M-S) athletes. Design Cross-sectional study. Setting Soccer practice fields. Patients or Other Participants A total of 40 (21 SSS [age = 15.05 ± 1.2 years], 19 M-S [age = 15.32 ± 1.2 years]) female high school athlete volunteers were recruited through local soccer clubs. All SSS athletes played soccer. Intervention(s) Participants were grouped into 2 categories: SSS and M-S. All participants completed 3 trials of the standard Landing Error Scoring System (LESS) jump-landing task. They performed a double-legged jump from a 30-cm platform, landing on a rubber mat at a distance of half their body height. Upon landing, participants immediately performed a maximal vertical jump. Main Outcome Measure(s) Values were assigned to each trial using the LESS scoring criteria. We averaged the 3 scored trials and then used a Mann-Whitney U test to test for differences between groups. Participant scores from the jump-landing assessment for each group were also placed into the 4 defined LESS categories for group comparison using a Pearson χ2 test. The α level was set a priori at .05. Results Mean scores were 6.84 ± 1.81 for the SSS group and 6.07 ± 1.93 for the M-S group. We observed no differences between groups (z = −1.44, P = .15). A Pearson χ2 analysis revealed that the proportions of athletes classified as having excellent, good, moderate, or poor LESS scores were not different between the SSS and M-S groups ( = 1.999, P = .57). Conclusions Participation in soccer alone compared with multiple sports did not affect LESS scores in

  18. Classification.

    PubMed

    Tuxhorn, Ingrid; Kotagal, Prakash

    2008-07-01

    In this article, we review the practical approach and diagnostic relevance of current seizure and epilepsy classification concepts and principles as a basic framework for good management of patients with epileptic seizures and epilepsy. Inaccurate generalizations about terminology, diagnosis, and treatment may be the single most important factor, next to an inadequately obtained history, that determines the misdiagnosis and mismanagement of patients with epilepsy. A stepwise signs and symptoms approach for diagnosis, evaluation, and management along the guidelines of the International League Against Epilepsy and definitions of epileptic seizures and epilepsy syndromes offers a state-of-the-art clinical approach to managing patients with epilepsy.

  19. Classification

    NASA Technical Reports Server (NTRS)

    Oza, Nikunj C.

    2011-01-01

    A supervised learning task involves constructing a mapping from input data (normally described by several features) to the appropriate outputs. Within supervised learning, one type of task is a classification learning task, in which each output is one or more classes to which the input belongs. In supervised learning, a set of training examples---examples with known output values---is used by a learning algorithm to generate a model. This model is intended to approximate the mapping between the inputs and outputs. This model can be used to generate predicted outputs for inputs that have not been seen before. For example, we may have data consisting of observations of sunspots. In a classification learning task, our goal may be to learn to classify sunspots into one of several types. Each example may correspond to one candidate sunspot with various measurements or just an image. A learning algorithm would use the supplied examples to generate a model that approximates the mapping between each supplied set of measurements and the type of sunspot. This model can then be used to classify previously unseen sunspots based on the candidate's measurements. This chapter discusses methods to perform machine learning, with examples involving astronomy.

  20. Pediatric Biopharmaceutical Classification System: Using Age-Appropriate Initial Gastric Volume.

    PubMed

    Shawahna, Ramzi

    2016-05-01

    Development of optimized pediatric formulations for oral administration can be challenging, time consuming, and financially intensive process. Since its inception, the biopharmaceutical classification system (BCS) has facilitated the development of oral drug formulations destined for adults. At least theoretically, the BCS principles are applied also to pediatrics. A comprehensive age-appropriate BCS has not been fully developed. The objective of this work was to provisionally classify oral drugs listed on the latest World Health Organization's Essential Medicines List for Children into an age-appropriate BCS. A total of 38 orally administered drugs were included in this classification. Dose numbers were calculated using age-appropriate initial gastric volume for neonates, 6-month-old infants, and children aging 1 year through adulthood. Using age-appropriate initial gastric volume and British National Formulary age-specific dosing recommendations in the calculation of dose numbers, the solubility classes shifted from low to high in pediatric subpopulations of 12 years and older for amoxicillin, 5 years, 12 years and older for cephalexin, 9 years and older for chloramphenicol, 3-4 years, 9-11 and 15 years and older for diazepam, 18 years and older (adult) for doxycycline and erythromycin, 8 years and older for phenobarbital, 10 years and older for prednisolone, and 15 years and older for trimethoprim. Pediatric biopharmaceutics are not fully understood where several knowledge gaps have been recently emphasized. The current biowaiver criteria are not suitable for safe application in all pediatric populations.

  1. GIS-based landform classification of Bronze Age archaeological sites on Crete Island

    PubMed Central

    Argyriou, Athanasios V.; Teeuw, Richard M.; Sarris, Apostolos

    2017-01-01

    Various physical attributes of the Earth’s surface are factors that influence local topography and indirectly influence human behaviour in terms of habitation locations. The determination of geomorphological setting plays an important role in archaeological landscape research. Several landform types can be distinguished by characteristic geomorphic attributes that portray the landscape surrounding a settlement and influence its ability to sustain a population. Geomorphometric landform information, derived from digital elevation models (DEMs), such as the ASTER Global DEM, can provide useful insights into the processes shaping landscapes. This work examines the influence of landform classification on the settlement locations of Bronze Age (Minoan) Crete, focusing on the districts of Phaistos, Kavousi and Vrokastro. The landform classification was based on the topographic position index (TPI) and deviation from mean elevation (DEV) analysis to highlight slope steepness of various landform classes, characterizing the surrounding landscape environment of the settlements locations. The outcomes indicate no interrelationship between the settlement locations and topography during the Early Minoan period, but a significant interrelationship exists during the later Minoan periods with the presence of more organised societies. The landform classification can provide insights into factors favouring human habitation and can contribute to archaeological predictive modelling. PMID:28222134

  2. GIS-based landform classification of Bronze Age archaeological sites on Crete Island.

    PubMed

    Argyriou, Athanasios V; Teeuw, Richard M; Sarris, Apostolos

    2017-01-01

    Various physical attributes of the Earth's surface are factors that influence local topography and indirectly influence human behaviour in terms of habitation locations. The determination of geomorphological setting plays an important role in archaeological landscape research. Several landform types can be distinguished by characteristic geomorphic attributes that portray the landscape surrounding a settlement and influence its ability to sustain a population. Geomorphometric landform information, derived from digital elevation models (DEMs), such as the ASTER Global DEM, can provide useful insights into the processes shaping landscapes. This work examines the influence of landform classification on the settlement locations of Bronze Age (Minoan) Crete, focusing on the districts of Phaistos, Kavousi and Vrokastro. The landform classification was based on the topographic position index (TPI) and deviation from mean elevation (DEV) analysis to highlight slope steepness of various landform classes, characterizing the surrounding landscape environment of the settlements locations. The outcomes indicate no interrelationship between the settlement locations and topography during the Early Minoan period, but a significant interrelationship exists during the later Minoan periods with the presence of more organised societies. The landform classification can provide insights into factors favouring human habitation and can contribute to archaeological predictive modelling.

  3. Classification of complex biological aging images using fuzzy Kolmogorov-Sinai entropy

    NASA Astrophysics Data System (ADS)

    Pham, Tuan D.

    2014-12-01

    With the rapid advancement of biomedical imaging device technology, the role of image processing coupled with pattern recognition, which is the science of classification of objects into a number categories or classes, is increasingly becoming important for the study of biological and medical images. As a matter of fact, the term Bioimage Informatics has been coined in the community of bioinformatics to emphasize the essential application of computational methods in assisting life-science researchers in the quantitative analysis of large volumes of images. This paper presents the formulation of the Kolmogorov-Sinai entropy under the mechanism of fuzzy uncertainty as an effective image feature for complex pattern classification. In this study, the particular focus is on classifying biological images relating to aging. The performance of the proposed method was tested against several current challenging image datasets that are benchmarks for comparing image classification techniques for overcoming the limited capacity of existing automated biological image analysis. The results demonstrate the superiority of the use of the new image feature for classifying difficult image objects in current biology.

  4. Benton's Visual Retention Test: New Age, Scale Score and Percentile Norms for Children.

    ERIC Educational Resources Information Center

    Rice, James A.

    The Benton Visual Retention Test which is designed to assess visual perceptual, visual motor, and visuoconstructive abilities can give school personnel greater precision and range in testing. The standardization of this instrument was tested on 700 Houston elementary school students. Chronological age differences were maintained and correlation…

  5. Development and evaluation of a risk score for type 2 diabetes mellitus among middle-aged Chinese rural population based on the RuralDiab Study

    PubMed Central

    Zhou, Hao; Li, Yuqian; Liu, Xiaotian; Xu, Fei; Li, Linlin; Yang, Kaili; Qian, Xinling; Liu, Ruihua; Bie, Ronghai; Wang, Chongjian

    2017-01-01

    The purpose of this study was to establish a simple and effective risk score for type 2 diabetes mellitus (T2DM) in middle-aged rural Chinese. Total of 5453 participants aged 30–59 years from the Rural Diabetes, Obesity and Lifestyle (RuralDiab) study were recruited for establishing the RuralDiab risk score by using logistic regression analysis. The RuralDiab risk score was validated in a prospective study from Henan Province of China, and compared with previous risk scores by using the receiver-operating characteristics cure. Ultimately, sex, age, family history of diabetes, physical activity, waist circumference, history of dyslipidemia, diastolic blood pressure, body mass index were included in the RuralDiab risk score (range from 0 to 36), and the optimal cutoff value was 17 with 67.9% sensitivity and 67.8% specificity. The area under the cures (AUC) of the RuralDiab risk score was 0.723(95%CI: 0.710–0.735) for T2DM in validation population, which was significant higher than the American Diabetes Association score (AUC: 0.636), the Inter99 score (AUC: 0.669), the Oman risk score (AUC: 0.675). The RuralDiab risk score was established and demonstrated an appropriate performance for predicting T2DM in middle-aged Chinese rural population. Further studies for validation should be implemented in different populations. PMID:28209984

  6. Classification of wet aged related macular degeneration using optical coherence tomographic images

    NASA Astrophysics Data System (ADS)

    Haq, Anam; Mir, Fouwad Jamil; Yasin, Ubaid Ullah; Khan, Shoab A.

    2013-12-01

    Wet Age related macular degeneration (AMD) is a type of age related macular degeneration. In order to detect Wet AMD we look for Pigment Epithelium detachment (PED) and fluid filled region caused by choroidal neovascularization (CNV). This form of AMD can cause vision loss if not treated in time. In this article we have proposed an automated system for detection of Wet AMD in Optical coherence tomographic (OCT) images. The proposed system extracts PED and CNV from OCT images using segmentation and morphological operations and then detailed feature set are extracted. These features are then passed on to the classifier for classification. Finally performance measures like accuracy, sensitivity and specificity are calculated and the classifier delivering the maximum performance is selected as a comparison measure. Our system gives higher performance using SVM as compared to other methods.

  7. A Non Linear Scoring Approach for Evaluating Balance: Classification of Elderly as Fallers and Non-Fallers

    PubMed Central

    Audiffren, Julien; Bargiotas, Ioannis; Vayatis, Nicolas; Vidal, Pierre-Paul; Ricard, Damien

    2016-01-01

    Almost one third of population 65 years-old and older faces at least one fall per year. An accurate evaluation of the risk of fall through simple and easy-to-use measurements is an important issue in current clinic. A common way to evaluate balance in posturography is through the recording of the centre-of-pressure (CoP) displacement (statokinesigram) with force platforms. A variety of indices have been proposed to differentiate fallers from non fallers. However, no agreement has been reached whether these analyses alone can explain sufficiently the complex synergies of postural control. In this work, we study the statokinesigrams of 84 elderly subjects (80.3+− 6.4 years old), which had no impairment related to balance control. Each subject was recorded 25 seconds with eyes open and 25 seconds with eyes closed and information pertaining to the presence of problems of balance, such as fall, in the last six months, was collected. Five descriptors of the statokinesigrams were computed for each record, and a Ranking Forest algorithm was used to combine those features in order to evaluate each subject’s balance with a score. A classical train-test split approach was used to evaluate the performance of the method through ROC analysis. ROC analysis showed that the performance of each descriptor separately was close to a random classifier (AUC between 0.49 and 0.54). On the other hand, the score obtained by our method reached an AUC of 0.75 on the test set, consistent over multiple train-test split. This non linear multi-dimensional approach seems appropriate in evaluating complex postural control. PMID:27936060

  8. Measurement Properties and Classification Accuracy of Two Spanish Parent Surveys of Language Development for Preschool-Age Children

    ERIC Educational Resources Information Center

    Guiberson, Mark; Rodriguez, Barbara L.

    2010-01-01

    Purpose: To describe the concurrent validity and classification accuracy of 2 Spanish parent surveys of language development, the Spanish Ages and Stages Questionnaire (ASQ; Squires, Potter, & Bricker, 1999) and the Pilot Inventario-III (Pilot INV-III; Guiberson, 2008a). Method: Forty-eight Spanish-speaking parents of preschool-age children…

  9. Validation of criterion-referenced archery cutting scores.

    PubMed

    Ishee, J H; Titlow, L W

    1993-04-01

    This study investigated an empirical method for setting optimal cutting scores for a criterion-referenced archery test. The classification-outcome probabilities and approaches to validity suggested by Berk were utilized. Pretest scores were obtained on 35 uninstructed college-age women on six ends (six arrows each) from 20 yards (18.3 m) after an unrecorded warm-up end. Posttest scores were after 15 weeks of instruction. Score distributions were the primary determinant for accurately classifying students as true mastery and true nonmastery. Accuracy is a function of the amount of overlap between distributions. Using the point at which the distributions overlapped, classification accuracy was estimated. Probabilities associated with 80 points were p(TM) + p(TN) = .83 and p(FM) + p(FN) = .14. Scores above and below 80 points had lower probabilities of classification accuracy. Reliability estimated using Kappa was .59. Statistical validity of the cutting score (phi) was .68.

  10. The relationship between mean birth weight and poverty using the Townsend deprivation score and the Super Profile classification system.

    PubMed

    Aveyard, P; Manaseki, S; Chambers, J

    2002-11-01

    Super Profiles have been used as alternative methods of characterising the deprivation of an area. Some reports suggest that Super Profiles are as accurate as established indices such as the Townsend score (TS). This was a test of this assertion.A total of 138 696 live born singleton births to Birmingham residents born between 1986 and 1996 (inclusive) were allocated to enumeration districts (EDs) by linkage from the postcode. We allocated the TS of the individual's ED. We allocated a Lifestyle and Target Market (TM) from Super Profiles by linkage to the ED. We examined the gradient between mean birth weight and the 10 Super Profile Lifestyles and compared this to the gradient between 10 Townsend groups and mean birth weight. We repeated this approach using the 40 TMs and 40 Townsend groups. We used both the median income and a census-derived deprivation measure to rank Lifestyles and TMs. The gradient between mean birth weight and area deprivation was linear for Townsend groups but not linear using either Lifestyles or TMs whichever method of ranking Lifestyles or TMs was used. Where Lifestyles or TMs were out of line with their neighbours, the TS of that group mostly explained this. As Super Profiles are generated using nationally representative data, applying the affluence ranking to small areas can lead to inaccuracies, as shown in this data. We conclude that Super Profiles are probably unsuitable as measures of deprivation of small areas.

  11. Overweight and obesity prevalence among school-aged Nunavik Inuit children according to three BMI classification systems

    PubMed Central

    Medehouenou, Thierry Comlan Marc; Ayotte, Pierre; St-Jean, Audray; Meziou, Salma; Roy, Cynthia; Muckle, Gina; Lucas, Michel

    2015-01-01

    Purpose Little is known about the suitability of three commonly-used body mass index (BMI) classification system for Indigenous children. This study aims to estimate overweight and obesity prevalence among school-aged Nunavik Inuit children according to International Obesity Task Force (IOTF), Centers for Disease Control and Prevention (CDC), and World Health Organization (WHO) BMI classification systems, to measure agreement between those classification systems, and to investigate whether BMI status as defined by these classification systems is associated with levels of metabolic and inflammatory biomarkers. Methods Data were collected on 290 school-aged children (8–14 years; 50.7% girls) from the Nunavik Child Development Study (NCDS) with data collected in 2005–2010. Anthropometric parameters were measured and blood sampled. Participants were classified as normal weight, overweight and obese according to BMI classification systems. Weighted Kappa (kw) statistics assessed agreement between different BMI classification systems and multivariate analysis of variance ascertained their relationship with metabolic and inflammatory biomarkers. Results The combined prevalence rate of overweight/obesity was 26.9% (with 6.6% obesity) with IOTF, 24.1% (11.0%) with CDC, and 40.4% (12.8%) with WHO classification systems. Agreement was the highest between IOTF and CDC (kw=0.87) classifications, and substantial for IOTF and WHO (kw=0.69), and CDC and WHO (kw=0.73). Insulin and high-sensitivity C-reactive protein plasma levels were significantly higher from normal weight to obesity, regardless of classification system. Among obese subjects, higher insulin level was observed with IOTF. Conclusion Compared with other systems, IOTF classification appears to be more specific to identify overweight and obesity in Inuit children. PMID:26095406

  12. Retinal Image Classification for the Screening of Age-Related Macular Degeneration

    NASA Astrophysics Data System (ADS)

    Hijazi, Mohd Hanafi Ahmad; Coenen, Frans; Zheng, Yalin

    Age-related Macular Degeneration (AMD) is the most common cause of blindness in old-age. Early identification of AMD can allow for mitigation (but not cure). One of the fist symptoms of AMD is the presence of fatty deposits, called drusen, on the retina. The presence of drusen may be identified through inspection of retina images. Given the aging global population, the prevalence of AMD is increasing. Many health authorities therefore run screening programmes. The automation, or at least partial automation, of retina image screening is therefore seen as beneficial. This paper describes a Case Based Reasoning (CBR) approach to retina image classification to provide support for AMD screening programmes. In the proposed approach images are represented in the form of spatial-histograms that store both colour and spatial image information. Each retina image is represented using a series of histograms each encapsulated as a time series curve. The Case Base (CB) is populated with a labelled set of such curves. New cases are classified by finding the most similar case (curve) in the CB. Similarity checking is achieved using the Dynamic Time warping (DTW).

  13. Age at natural menopause genetic risk score in relation to age at natural menopause and primary open-angle glaucoma in a US-based sample

    PubMed Central

    Pasquale, Louis R.; Aschard, Hugues; Kang, Jae H.; Bailey, Jessica N. Cooke; Lindström, Sara; Chasman, Daniel I.; Christen, William G.; Allingham, R. Rand; Ashley-Koch, Allison; Lee, Richard K.; Moroi, Sayoko E.; Brilliant, Murray H.; Wollstein, Gadi; Schuman, Joel S.; Fingert, John; Budenz, Donald L.; Realini, Tony; Gaasterland, Terry; Gaasterland, Douglas; Scott, William K.; Singh, Kuldev; Sit, Arthur J.; Igo, Robert P.; Song, Yeunjoo E.; Hark, Lisa; Ritch, Robert; Rhee, Douglas J.; Gulati, Vikas; Havens, Shane; Vollrath, Douglas; Zack, Donald J.; Medeiros, Felipe; Weinreb, Robert N.; Pericak-Vance, Margaret A.; Liu, Yutao; Kraft, Peter; Richards, Julia E.; Rosner, Bernard A.; Hauser, Michael A.; Haines, Jonathan L.; Wiggs, Janey L.

    2017-01-01

    Abstract Objective: Several attributes of female reproductive history, including age at natural menopause (ANM), have been related to primary open-angle glaucoma (POAG). We assembled 18 previously reported common genetic variants that predict ANM to determine their association with ANM or POAG. Methods: Using data from the Nurses’ Health Study (7,143 women), we validated the ANM weighted genetic risk score in relation to self-reported ANM. Subsequently, to assess the relation with POAG, we used data from 2,160 female POAG cases and 29,110 controls in the National Eye Institute Glaucoma Human Genetics Collaboration Heritable Overall Operational Database (NEIGHBORHOOD), which consists of 8 datasets with imputed genotypes to 5.6+ million markers. Associations with POAG were assessed in each dataset, and site-specific results were meta-analyzed using the inverse weighted variance method. Results: The genetic risk score was associated with self-reported ANM (P = 2.2 × 10–77) and predicted 4.8% of the variance in ANM. The ANM genetic risk score was not associated with POAG (Odds Ratio (OR) = 1.002; 95% Confidence Interval (CI): 0.998, 1.007; P = 0.28). No single genetic variant in the panel achieved nominal association with POAG (P ≥0.20). Compared to the middle 80 percent, there was also no association with the lowest 10th percentile or highest 90th percentile of genetic risk score with POAG (OR = 0.75; 95% CI: 0.47, 1.21; P = 0.23 and OR = 1.10; 95% CI: 0.72, 1.69; P = 0.65, respectively). Conclusions: A genetic risk score predicting 4.8% of ANM variation was not related to POAG; thus, genetic determinants of ANM are unlikely to explain the previously reported association between the two phenotypes. PMID:27760082

  14. Genetic assessment of age-associated Alzheimer disease risk: Development and validation of a polygenic hazard score

    PubMed Central

    Cupples, L. Adrienne; Thompson, Wesley K.; Besser, Lilah; Kukull, Walter A.; Holland, Dominic; Chen, Chi-Hua; Brewer, James B.; Karow, David S.; Kauppi, Karolina; Bonham, Luke W.; Rosen, Howard J.; Miller, Bruce L.; Dillon, William P.; Wilson, David M.; Pericak-Vance, Margaret; Haines, Jonathan L.; Farrer, Lindsay A.; Mayeux, Richard; Hardy, John; Goate, Alison M.; Schellenberg, Gerard D.; Andreassen, Ole A.

    2017-01-01

    Background Identifying individuals at risk for developing Alzheimer disease (AD) is of utmost importance. Although genetic studies have identified AD-associated SNPs in APOE and other genes, genetic information has not been integrated into an epidemiological framework for risk prediction. Methods and findings Using genotype data from 17,008 AD cases and 37,154 controls from the International Genomics of Alzheimer’s Project (IGAP Stage 1), we identified AD-associated SNPs (at p < 10−5). We then integrated these AD-associated SNPs into a Cox proportional hazard model using genotype data from a subset of 6,409 AD patients and 9,386 older controls from Phase 1 of the Alzheimer’s Disease Genetics Consortium (ADGC), providing a polygenic hazard score (PHS) for each participant. By combining population-based incidence rates and the genotype-derived PHS for each individual, we derived estimates of instantaneous risk for developing AD, based on genotype and age, and tested replication in multiple independent cohorts (ADGC Phase 2, National Institute on Aging Alzheimer’s Disease Center [NIA ADC], and Alzheimer’s Disease Neuroimaging Initiative [ADNI], total n = 20,680). Within the ADGC Phase 1 cohort, individuals in the highest PHS quartile developed AD at a considerably lower age and had the highest yearly AD incidence rate. Among APOE ε3/3 individuals, the PHS modified expected age of AD onset by more than 10 y between the lowest and highest deciles (hazard ratio 3.34, 95% CI 2.62–4.24, p = 1.0 × 10−22). In independent cohorts, the PHS strongly predicted empirical age of AD onset (ADGC Phase 2, r = 0.90, p = 1.1 × 10−26) and longitudinal progression from normal aging to AD (NIA ADC, Cochran–Armitage trend test, p = 1.5 × 10−10), and was associated with neuropathology (NIA ADC, Braak stage of neurofibrillary tangles, p = 3.9 × 10−6, and Consortium to Establish a Registry for Alzheimer’s Disease score for neuritic plaques, p = 6.8 × 10−6) and

  15. Free triiodothyronine in relation to coronary severity at different ages: Gensini score assessment in 4206 euthyroid patients

    PubMed Central

    Zhou, Bing-Yang; Guo, Yuan-Lin; Wu, Na-Qiong; Zhu, Cheng-Gang; Gao, Ying; Qing, Ping; Li, Xiao-Lin; Wang, Yao; Liu, Geng; Dong, Qian; Li, Jian-Jun

    2016-01-01

    Objective To study whether free triiodothyronine (FT3) within normal range has effects on the presence and severity of coronary artery disease (CAD) in different gender and age groups. Methods A total of 4206 euthyroid patients were consecutively enrolled and divided into CAD group (n = 3306) and non-CAD group (n = 900). All patients underwent coronary angiography (CAG). Gensini score (GS) was used to determine the severity of coronary artery stenosis. Severe CAD was defined as GS > 32 and mild CAD was defined as GS ≤ 32. Logistic regression analysis and linear regression analysis were conducted to determine the association of FT3 with CAD in patients with different gender and ages. Results Concentration of FT3 was lower in patients with CAD than that in angiography-normal control group (P < 0.05). In addition, concentration of FT3 was lower in severe CAD than that in mild CAD. After adjusting for traditional cardiovascular risk factors and potential confounders, FT3 was negatively correlated with the presence of CAD, but not in the old patients (> 65 years old). Multivariable linear regression analysis showed that FT3 was negatively associated with GS in male and young patients with stable CAD, but not in the old patients. Conclusions Low FT3 within normal range was negatively associated with the presence and severity of CAD in young patients, but not in the old ones. Further studies are needed to confirm our findings. PMID:28321241

  16. Examining Preschoolers' Nutrition Knowledge Using a Meal Creation and Food Group Classification Task: Age and Gender Differences

    ERIC Educational Resources Information Center

    Holub, Shayla C.; Musher-Eizenman, Dara R.

    2010-01-01

    Eating behaviours begin to develop during early childhood, but relatively little is known about preschoolers' nutrition knowledge. The current study examined age and gender differences in this knowledge using two tasks: food group classification and the creation of unhealthy, healthy and preferred meals. Sixty-nine three- to six-year-old children…

  17. Age-adjusted charlson comorbidity index score as predictor of prolonged postoperative ileus in patients with colorectal cancer who underwent surgical resection.

    PubMed

    Tian, Yaohua; Xu, Beibei; Yu, Guopei; Li, Yan; Liu, Hui

    2017-02-11

    Comorbidities had considerable effects on the development of postoperative ileus (POI). The primary aim of the present study was to determine the influence of the age-adjusted Charlson comorbidity index (ACCI) score on the risk of prolonged POI in patients with colorectal cancer who underwent surgical resection. Using the electronic Hospitalization Summary Reports, we identified 11,397 patients with colorectal cancer who underwent surgical resection from 2013 through 2015. Logistic regression models were applied to evaluate the effect of the ACCI score on the risk of prolonged POI. The ACCI score had a positive graded association with the risk of prolonged POI in both colon and rectal cancer (P for trend < 0.05). Among patients with rectal cancer, after adjusting for potential confounders, those with an ACCI score of 4-5 had a 108% higher risk of prolonged POI than those with an ACCI score of 0-1 (odds ratio [OR], 2.08; 95% confidence interval [CI], 1.09-3.98), and those with an ACCI score of ≥ 6 had a 130% higher risk (OR, 2.30; 95% CI, 1.08-4.89). Among patients with colon cancer, those with an ACCI score of ≥ 6 had a 47% greater risk of prolonged POI than those with an ACCI score of 0-1 (OR, 1.47; 95% CI, 1.07-2.02). These findings suggested that a higher ACCI score was an independent predictor of the development of prolonged POI.

  18. Automated age-related macular degeneration classification in OCT using unsupervised feature learning

    NASA Astrophysics Data System (ADS)

    Venhuizen, Freerk G.; van Ginneken, Bram; Bloemen, Bart; van Grinsven, Mark J. J. P.; Philipsen, Rick; Hoyng, Carel; Theelen, Thomas; Sánchez, Clara I.

    2015-03-01

    Age-related Macular Degeneration (AMD) is a common eye disorder with high prevalence in elderly people. The disease mainly affects the central part of the retina, and could ultimately lead to permanent vision loss. Optical Coherence Tomography (OCT) is becoming the standard imaging modality in diagnosis of AMD and the assessment of its progression. However, the evaluation of the obtained volumetric scan is time consuming, expensive and the signs of early AMD are easy to miss. In this paper we propose a classification method to automatically distinguish AMD patients from healthy subjects with high accuracy. The method is based on an unsupervised feature learning approach, and processes the complete image without the need for an accurate pre-segmentation of the retina. The method can be divided in two steps: an unsupervised clustering stage that extracts a set of small descriptive image patches from the training data, and a supervised training stage that uses these patches to create a patch occurrence histogram for every image on which a random forest classifier is trained. Experiments using 384 volume scans show that the proposed method is capable of identifying AMD patients with high accuracy, obtaining an area under the Receiver Operating Curve of 0:984. Our method allows for a quick and reliable assessment of the presence of AMD pathology in OCT volume scans without the need for accurate layer segmentation algorithms.

  19. An Influence of Birth Weight, Gestational Age, and Apgar Score on Pattern Visual Evoked Potentials in Children with History of Prematurity

    PubMed Central

    Michalczuk, Marta; Urban, Beata; Chrzanowska-Grenda, Beata; Oziębło-Kupczyk, Monika; Bakunowicz-Łazarczyk, Alina

    2015-01-01

    Purpose. The objective of our study was to examine a possible influence of gestational age, birth weight, and Apgar score on amplitudes and latencies of P100 wave in preterm born school-age children. Materials and Methods. We examined the following group of school-age children: 28 with history of prematurity (mean age 10.56 ± 1.66 years) and 25 born at term (mean age 11.2 ± 1.94 years). The monocular PVEP was performed in all children. Results. The P100 wave amplitudes and latencies significantly differ between preterm born school-age children and those born at term. There was an essential positive linear correlation of the P100 wave amplitudes with birth weight, gestational age, and Apgar score. There were the negative linear correlations of P100 latencies in 15-minute stimulation from O1 and Oz electrode with Apgar score and O1 and O2 electrode with gestational age. Conclusions. PVEP responses vary in preterm born children in comparison to term. Low birth weight, early gestational age, and poor baseline output seem to be the predicting factors for the developmental rate of a brain function in children with history of prematurity. Further investigations are necessary to determine perinatal factors that can affect the modified visual system function in preterm born children. PMID:26417461

  20. Genome-wide polygenic scores for age at onset of alcohol dependence and association with alcohol-related measures

    PubMed Central

    Kapoor, M; Chou, Y-L; Edenberg, H J; Foroud, T; Martin, N G; Madden, P A F; Wang, J C; Bertelsen, S; Wetherill, L; Brooks, A; Chan, G; Hesselbrock, V; Kuperman, S; Medland, S E; Montgomery, G; Tischfield, J; Whitfield, J B; Bierut, L J; Heath, A C; Bucholz, K K; Goate, A M; Agrawal, A

    2016-01-01

    Age at onset of alcohol dependence (AO-AD) is a defining feature of multiple drinking typologies. AO-AD is heritable and likely shares genetic liability with other aspects of alcohol consumption. We examine whether polygenic variation in AO-AD, based on a genome-wide association study (GWAS), was associated with AO-AD and other aspects of alcohol consumption in two independent samples. Genetic risk scores (GRS) were created based on AO-AD GWAS results from a discovery sample of 1788 regular drinkers from extended pedigrees from the Collaborative Study of the Genetics of Alcoholism (COGA). GRS were used to predict AO-AD, AD and Alcohol dependence symptom count (AD-SX), age at onset of intoxication (AO-I), as well as maxdrinks in regular drinking participants from two independent samples—the Study of Addictions: Genes and Environment (SAGE; n=2336) and an Australian sample (OZ-ALC; n=5816). GRS for AO-AD from COGA explained a modest but significant proportion of the variance in all alcohol-related phenotypes in SAGE. Despite including effect sizes associated with large numbers of single nucleotide polymorphisms (SNPs; >110 000), GRS explained, at most, 0.7% of the variance in these alcohol measures in this independent sample. In OZ-ALC, significant but even more modest associations were noted with variance estimates ranging from 0.03 to 0.16%. In conclusion, there is modest evidence that genetic variation in AO-AD is associated with liability to other aspects of alcohol involvement. PMID:27003187

  1. Predicting difficult laryngoscopy in acromegalic patients undergoing surgery for excision of pituitary tumors: A comparison of extended Mallampati score with modified Mallampati classification

    PubMed Central

    Bindra, Ashish; Prabhakar, Hemanshu; Bithal, Parmod K; Singh, Gyaninder Pal; Chowdhury, Tumul

    2013-01-01

    Background: There are numerous reports of difficult laryngoscopy and intubation in patients with acromegaly. To date, no study has assessed the application of extended Mallampati score (EMS) for predicting difficult intubation in acromegalics. The primary aim of this study was to compare EMS with modified Mallampati classification (MMP) in predicting difficult laryngoscopy in acromegalic patients. We hypothesized that since EMS has been reported to be more specific and better predictor than MMP, it may be superior to the MMP to predict difficult laryngoscopy in acromegalic patients. Materials and Methods: For this prospective cohort study with matched controls, acromegalic patients scheduled to undergo pituitary surgery over a period of 3 years (January 2008-December 2010) were enrolled. Preoperative airway assessment was performed by experienced anesthesiologists and involved a MMP and the EMS. Under anesthesia, laryngoscopic view was assessed using Cormack-Lehane (CL) grading. MMP and CL grades of I and II were defined “easy” and III and IV as “difficult”. EMS grade of I and II were defined “easy” and III as “difficult”. Data were used to determine the sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of MMP and EMS in predicting difficult laryngoscopy. Results: Seventy eight patients participated in the study (39 patients in each group). Both MMP and EMS failed to detect difficult laryngoscopy in seven patients. Only one laryngoscopy was predicted to be difficult by both tests which was in fact, difficult. Conclusion: We found that addition of neck extension did not improve the predictive value of MMP. PMID:23878439

  2. Inverse relationship between a genetic risk score of 31 BMI loci and weight change before and after reaching middle age

    PubMed Central

    Rukh, G; Ahmad, S; Ericson, U; Hindy, G; Stocks, T; Renström, F; Almgren, P; Nilsson, P M; Melander, O; Franks, P W; Orho-Melander, M

    2016-01-01

    Background/Objective: Genome-wide-association studies have identified numerous body mass index (BMI)-associated variants, but it is unclear how these relate to weight gain in adults at different ages. Methods: We examined the association of a genetic risk score (GRS), consisting of 31 BMI-associated variants, with an annual weight change (AWC) and a substantial weight gain (SWG) of 10% by comparing self-reported weight at 20 years (y) with baseline weight (mean: 58 y; s.d.: 8 y) in 21407 participants from the Malmö Diet and Cancer Study (MDCS), and comparing baseline weight to weight at follow-up (mean: 73 y; s.d.: 6 y) among 2673 participants. Association between GRS and AWG and SWG was replicated in 4327 GLACIER (Gene x Lifestyle interactions And Complex traits Involved in Elevated disease Risk) participants (mean: 45 y; s.d.: 7 y) with 10 y follow-up. Cohort-specific results were pooled by fixed-effect meta-analyses. Results: In MDCS, the GRS was associated with increased AWC (β: 0.003; s.e: 0.01; P: 7 × 10−8) and increased odds for SWG (odds ratio (OR) 1.01 (95% confidence interval (CI): 1.00, 1.02); P: 0.013) per risk-allele from age 20y, but unexpectedly with decreased AWC (β: −0.006; s.e: 0.002; P: 0.009) and decreased odds for SWG OR 0.96 (95% CI: 0.93, 0.98); P: 0.001) between baseline and follow-up. Effect estimates from age 20 y to baseline differed significantly from those from baseline to follow-up (P: 0.0002 for AWC and P: 0.0001 for SWG). Similar to MDCS, the GRS was associated with decreased odds for SWG OR 0.98 (95% CI: 0.96, 1.00); P: 0.029) from baseline to follow-up in GLACIER. In meta-analyses (n=7000), the GRS was associated with decreased AWC (β: −0.005; s.e.m. 0.002; P: 0.002) and decreased odds for SWG OR 0.97 (95% CI: 0.96, 0.99); P: 0.001) per risk-allele. Conclusions: Our results provide convincing evidence for a paradoxical inversed relationship between a high number of BMI-associated risk-alleles and less

  3. Relationship between the climbing up and climbing down stairs domain scores on the FES-DMD, the score on the Vignos Scale, age and timed performance of functional activities in boys with Duchenne muscular dystrophy

    PubMed Central

    Fernandes, Lilian A. Y.; Caromano, Fátima A.; Assis, Silvana M. B.; Hukuda, Michele E.; Voos, Mariana C.; Carvalho, Eduardo V.

    2014-01-01

    BACKGROUND: Knowing the potential for and limitations of information generated using different evaluation instruments favors the development of more accurate functional diagnoses and therapeutic decision-making. OBJECTIVE: To investigate the relationship between the number of compensatory movements when climbing up and going down stairs, age, functional classification and time taken to perform a tested activity (TA) of going up and down stairs in boys with Duchenne muscular dystrophy (DMD). METHOD: A bank of movies featuring 30 boys with DMD performing functional activities was evaluated. Compensatory movements were assessed using the climbing up and going down stairs domain of the Functional Evaluation Scale for Duchenne Muscular Dystrophy (FES-DMD); age in years; functional classification using the Vignos Scale (VS), and TA using a timer. Statistical analyses were performed using the Spearman correlation test. RESULTS: There is a moderate relationship between the climbing up stairs domain of the FES-DMD and age (r=0.53, p=0.004) and strong relationships with VS (r=0.72, p=0.001) and TA for this task (r=0.83, p<0.001). There were weak relationships between the going down stairs domain of the FES-DMD-going down stairs with age (r=0.40, p=0.032), VS (r=0.65, p=0.002) and TA for this task (r=0.40, p=0.034). CONCLUSION: These findings indicate that the evaluation of compensatory movements used when climbing up stairs can provide more relevant information about the evolution of the disease, although the activity of going down stairs should be investigated, with the aim of enriching guidance and strengthening accident prevention. Data from the FES-DMD, age, VS and TA can be used in a complementary way to formulate functional diagnoses. Longitudinal studies and with broader age groups may supplement this information. PMID:25590443

  4. Preferred 11 different job rotation types in automotive company and their effects on productivity, quality and musculoskeletal disorders: comparison between subjective and actual scores by workers' age.

    PubMed

    Jeon, In Sik; Jeong, Byung Yong; Jeong, Ji Hyun

    2016-10-01

    This study investigates workers' favoured rotation types by their age and compares means between subjective and actual scores on productivity, quality and musculoskeletal disorders (MSDs). The subjects of research were 422 assembly line units in Hyundai Motor Company. The survey of 422 units focused on the workers' preference for 11 different rotation types and subjective scores for each type's perceived benefits, both by the workers' age. Then, actual scores on production-related indices were traced over a five-year period. The results suggest that different rotation types lead to different results in productivity, product quality and MSDs. Workers tend to perceive job rotation as a helpful method to enhance satisfaction, productivity and product quality more so than the actual production data suggests. Job rotation was especially effective in preventing MSDs for workers aged under 45, while its effects were not clear for the workers aged 45 years or older. Practitioner's Summary: This research presents appropriate rotation type for different age groups. Taking workers' age into account, administrators can use the paper's outcomes to select and implement the suitable rotation type to attain specific goals such as enhancing productivity, improving product quality or reducing MSDs.

  5. A Pilot Evaluation of the Test-Retest Score Reliability of the Dimensions of Mastery Questionnaire in Preschool-Aged Children

    ERIC Educational Resources Information Center

    Igoe, Deirdre; Peralta, Christopher; Jean, Lindsey; Vo, Sandra; Yep, Linda Ngan; Zabjek, Karl; Wright, F. Virginia

    2011-01-01

    Preschool-aged children continually learn new skills and perfect existing ones. "Mastery motivation" is theorized to be a personality trait linked to skill learning. The Dimensions of Mastery Questionnaire (DMQ) quantifies mastery motivation. This pilot study evaluated DMQ test-retest score reliability (preschool-version) and included…

  6. Factorial Invariance and Latent Mean Differences of Scores on the Achievement Goal Tendencies Questionnaire across Gender and Age in a Sample of Spanish Students

    ERIC Educational Resources Information Center

    Ingles, Candido J.; Marzo, Juan C.; Castejon, Juan L.; Nunez, Jose Carlos; Valle, Antonio; Garcia-Fernandez, Jose M.; Delgado, Beatriz

    2011-01-01

    This study examined the factorial invariance and latent mean differences of scores on the Spanish version of the "Achievement Goal Tendencies Questionnaire" (AGTQ) across gender and age groups in 2022 Spanish students (51.1% boys) in grades 7 through 10. The equality of factor structures was compared using multi-group confirmatory factor…

  7. Probabilistic age classification with Bayesian networks: A study on the ossification status of the medial clavicular epiphysis.

    PubMed

    Sironi, Emanuele; Pinchi, Vilma; Taroni, Franco

    2016-01-01

    In the past few decades, the rise of criminal, civil and asylum cases involving young people lacking valid identification documents has generated an increase in the demand of age estimation. The chronological age or the probability that an individual is older or younger than a given age threshold are generally estimated by means of some statistical methods based on observations performed on specific physical attributes. Among these statistical methods, those developed in the Bayesian framework allow users to provide coherent and transparent assignments which fulfill forensic and medico-legal purposes. The application of the Bayesian approach is facilitated by using probabilistic graphical tools, such as Bayesian networks. The aim of this work is to test the performances of the Bayesian network for age estimation recently presented in scientific literature in classifying individuals as older or younger than 18 years of age. For these exploratory analyses, a sample related to the ossification status of the medial clavicular epiphysis available in scientific literature was used. Results obtained in the classification are promising: in the criminal context, the Bayesian network achieved, on the average, a rate of correct classifications of approximatively 97%, whilst in the civil context, the rate is, on the average, close to the 88%. These results encourage the continuation of the development and the testing of the method in order to support its practical application in casework.

  8. Recovery of birth weight z-score within two years of diagnosis is positively associated with pulmonary status at age six years in children with cystic fibrosis

    PubMed Central

    Lai, HuiChuan J.; Shoff, Suzanne M.; Farrell, Philip M.

    2009-01-01

    Objective We recently reported that 60% of newly diagnosed CF children who had pancreatic insufficiency (PI) responded to treatment initiation and achieved catch-up weight gain to a level comparable to their birth weight Z-score within 2 years of diagnosis (“responders”), while the remaining 40% failed to do so (“non-responders”). The present study examined the impact of this early weight recovery on subsequent growth pattern and pulmonary status at age 6 years. Patients and Methods Sixty-three children with CF who had PI but no meconium ileus, and were enrolled in the Wisconsin CF Neonatal Screening Project, were studied. “Responders” were defined by a recovery of weight Z-score comparable to that at birth within 2 years of diagnosis. During ages 2–6, growth was evaluated with the combination of height and body mass index. Pulmonary status was evaluated by symptoms, spirometry, quantitative chest radiography and respiratory microbiology. Results The majority (71%) of the responders maintained their early weight recovery through age 6 years while only 32% of the non-responders achieved substantial growth improvement during age 2 to 6 years. Proportionately fewer responders reported cough symptoms (10% daytime cough, p =0.02; 22% nighttime cough, p=0.05) compared to non-responders (41% daytime cough, 45% nighttime cough) at age 6. Percent predicted FEV1 (%FEV1) at age 6 was 11% higher in responders (99.5 ± 13.9%) compared to non-responders (88.3 ± 18.5%), p = 0.015. Responders had significantly better Brasfield (20.1 ± 1.4, p = 0.01) and Wisconsin chest radiographic scores (8.3 ± 3.3, p = 0.04) compared to non-responders (Brasfield 18.9 ± 1.8, Wisconsin 12.3 ± 8.3). Respiratory microbiology was not significantly different. Multiple regression analyses indicated that the positive association between responder and %FEV1 at age 6 years remained statistically significant after controlling for infections with Pseudomonas aeruginosa and Staphlococcus

  9. Active learning for solving the incomplete data problem in facial age classification by the furthest nearest-neighbor criterion.

    PubMed

    Wang, Jian-Gang; Sung, Eric; Yau, Wei-Yun

    2011-07-01

    Facial age classification is an approach to classify face images into one of several predefined age groups. One of the difficulties in applying learning techniques to the age classification problem is the large amount of labeled training data required. Acquiring such training data is very costly in terms of age progress, privacy, human time, and effort. Although unlabeled face images can be obtained easily, it would be expensive to manually label them on a large scale and getting the ground truth. The frugal selection of the unlabeled data for labeling to quickly reach high classification performance with minimal labeling efforts is a challenging problem. In this paper, we present an active learning approach based on an online incremental bilateral two-dimension linear discriminant analysis (IB2DLDA) which initially learns from a small pool of labeled data and then iteratively selects the most informative samples from the unlabeled set to increasingly improve the classifier. Specifically, we propose a novel data selection criterion called the furthest nearest-neighbor (FNN) that generalizes the margin-based uncertainty to the multiclass case and which is easy to compute, so that the proposed active learning algorithm can handle a large number of classes and large data sizes efficiently. Empirical experiments on FG-NET and Morph databases together with a large unlabeled data set for age categorization problems show that the proposed approach can achieve results comparable or even outperform a conventionally trained active classifier that requires much more labeling effort. Our IB2DLDA-FNN algorithm can achieve similar results much faster than random selection and with fewer samples for age categorization. It also can achieve comparable results with active SVM but is much faster than active SVM in terms of training because kernel methods are not needed. The results on the face recognition database and palmprint/palm vein database showed that our approach can handle

  10. Evaluation and correlation of stress scores with blood pressure, endogenous cortisol levels, and homocysteine levels in patients with central serous chorioretinopathy and comparison with age-matched controls

    PubMed Central

    Agarwal, Abhishek; Garg, Monika; Dixit, Nikhil; Godara, Rohini

    2016-01-01

    Context: Stress had been associated with the development of central serous chorioretinopathy (CSC). The study was designed to evaluate the effect of stress on other risk factors of CSC such as serum cortisol levels, serum homocysteine levels, and blood pressure (BP) in CSC patients. Aims: To compare stress scores, serum cortisol and serum homocysteine levels, and BP of CSC patients with that of control population and to correlate stress scores of CSC patients with BP, serum cortisol levels, and serum homocysteine levels. Materials and Methods: Stress scores, serum morning and evening cortisol levels, serum homocysteine levels, systolic and diastolic BP of 54 CSC patients were measured and compared with that of 54 age- and sex-related controls using Student's t-test. Stress scores of CSC patients were correlated with systolic and diastolic BP, serum morning and evening cortisol levels and serum homocysteine levels and Pearson correlation coefficient (r) were calculated. Results: Stress scores, serum homocysteine levels, serum morning and evening cortisol levels, and systolic and diastolic BP were all elevated in CSC patients as compared with age- and sex-related controls (P < 0.05). Stress scores of CSC patients were found to correlate strongly with serum homocysteine levels, serum morning and evening cortisol levels, and systolic and diastolic BP, with r values 0.82, 0.8, 0.8, 0.8, and 0.81, respectively (P < 0.0001). Conclusions: Stress scores were elevated in CSC patients and were strongly correlated with serum homocysteine and cortisol levels and BP. PMID:27958201

  11. The classification of pericardial disease in the age of modern medicine.

    PubMed

    Maisch, Bernhard; Ristić, Arsen D

    2002-01-01

    The spectrum of pericardial diseases comprises pericarditis, pericardial neoplasms, cysts, and congenital defects. Due to the insufficient diagnostic value of standard, noninvasive diagnostic techniques, many cases remained etiologically unclear, and were therefore classified as idiopathic. A major improvement in the classification of pericardial disease is its clear distinction between the two most frequent forms of idiopathic pericarditis: viral infection and autoreactive pericarditis. This classification has major therapeutic consequences. In autoreactive forms, systemic and intrapericardial corticosteroid treatment has a favorable effect; its application in viral forms is contraindicated. The new classification of pericardial diseases synthesizes the achievements of modern imaging with molecular biology and immunology. Systematic implementation of new techniques of pericardial fluid analyses, pericardioscopy and pericardial biopsy, and the application of molecular biology and immunology techniques have opened new windows to the pericardial diseases, permitting early specific diagnosis, and creating foundations for etiologic treatment in many cases.

  12. Relationship of Apgar Scores and Bayley Mental and Motor Scores

    ERIC Educational Resources Information Center

    Serunian, Sally A.; Broman, Sarah H.

    1975-01-01

    Examined the relationship of newborns' 1-minute Apgar scores to their 8-month Bayley mental and motor scores and to 8-month classifications of their development as normal, suspect, or abnormal. Also investigated relationships between Apgar scores and race, longevity, and birth weight. (JMB)

  13. Turkeys are equally susceptible to foot pad dermatitis from 1 to 10 weeks of age and foot pad scores were minimized when litter moisture was less than 30%.

    PubMed

    Wu, K; Hocking, P M

    2011-06-01

    Two randomized block experiments were conducted to determine the effects of litter moisture and age on the development of foot pad dermatitis (FPD) in female growing turkeys. Pens were littered with fresh wood shavings at the start of the experiments and excreta and soiled litter were replaced twice daily to maintain clean litter. In experiment 1 the birds (n = 5/pen) were subjected to increasing quantities of water to produce different litter moisture contents for 6 d. In experiment 2 the effects on FPD of high litter moisture for 6 d at 7, 21, 42, and 70 d were assessed. Scores for FPD, food intake, BW gain, litter moisture, litter pH, and behavior were assessed after 6 d on wet compared with dry, clean wood shavings litter. A linear effect was found of increasing litter moisture on mean foot score. Mean foot score increased with age on transfer to wet litter but the effect of age was relatively small. Body weight gains were similar in wet and dry treatments whereas feed intake was higher in turkeys kept on wet litter compared with dry litter. The results are consistent with the conclusion that high litter moisture is the primary cause of FPD and that turkeys are similarly susceptible from 7 to 70 d of age.

  14. Canada acute coronary syndrome score was a stronger baseline predictor than age ≥75 years of in-hospital mortality in acute coronary syndrome patients in western Romania

    PubMed Central

    Pogorevici, Antoanela; Citu, Ioana Mihaela; Bordejevic, Diana Aurora; Caruntu, Florina; Tomescu, Mirela Cleopatra

    2016-01-01

    Background Several risk scores were developed for acute coronary syndrome (ACS) patients, but their use is limited by their complexity. Purpose The purpose of this study was to identify predictors at admission for in-hospital mortality in ACS patients in western Romania, using a simple risk-assessment tool – the new Canada acute coronary syndrome (C-ACS) risk score. Patients and methods The baseline risk of patients admitted with ACS was retrospectively assessed using the C-ACS risk score. The score ranged from 0 to 4; 1 point was assigned for the presence of each of the following parameters: age ≥75 years, Killip class >1, systolic blood pressure <100 mmHg, and heart rate >100 bpm. Results A total of 960 patients with ACS were included, 409 (43%) with ST-segment elevation myocardial infarction (STEMI) and 551 (57%) with non-ST-segment elevation acute coronary syndrome (NSTE-ACS). The C-ACS score predicted in-hospital mortality in all ACS patients with a C-statistic of 0.95 (95% CI: 0.93–0.96), in STEMI patients with a C-statistic of 0.92 (95% confidence interval [CI]: 0.89–0.94), and in NSTE-ACS patients with a C-statistic of 0.97 (95% CI: 0.95–0.98). Of the 960 patients, 218 (22.7%) were aged ≥75 years. The proportion of patients aged ≥75 years was 21.7% in the STEMI subgroup and 23.4% in the NSTE-ACS subgroup (P>0.05). Age ≥75 years was significantly associated with in-hospital mortality in ACS patients (odds ratio [OR]: 3.25, 95% CI: 1.24–8.25) and in the STEMI subgroup (OR >3.99, 95% CI: 1.28–12.44). Female sex was strongly associated with mortality in the NSTE-ACS subgroup (OR: 27.72, 95% CI: 1.83–39.99). Conclusion We conclude that C-ACS score was the strongest predictor of in-hospital mortality in all ACS patients while age ≥75 years predicted the mortality well in the STEMI subgroup. PMID:27217732

  15. A child feeding index is superior to WHO IYCF indicators in explaining length-for-age Z-scores of young children in rural Cambodia

    PubMed Central

    Reinbott, Anika; Kuchenbecker, Judith; Herrmann, Johannes; Jordan, Irmgard; Muehlhoff, Ellen; Kevanna, Ou; Krawinkel, Michael

    2015-01-01

    Background: Adequate young child feeding practices are influenced by a multitude of factors which affect growth and development. A combination of indicators is needed to explain the role of complementary feeding practices in growth retardation. Methods: A cross-sectional nutrition baseline survey was conducted in rural Cambodia in September 2012. Villages in pre-selected communes were randomly selected using stunting as a primary indicator. Data were collected from 803 randomly selected households with children aged 6–23 months, based on a standardised questionnaire and on length/height and weight measurements of mother and child. WHO Infant and Young Child Feeding (IYCF) indicators [minimum dietary diversity (MDD), minimum meal frequency (MMF), minimum acceptable diet (MAD)] and a child feeding index (CFI) were created. The latter consisted of five components: breastfeeding, use of bottle, dietary diversity, food frequency and meal frequency which were adjusted for three age groups: 6–8, 9–11 and 12–23 months. The highest possible score was 10. Associations between length-for-age Z-scores (LAZ) and WHO indicators or CFI were explored. Results: Mean (SD) LAZ was −1.25 (1.14) (n  =  801). Mean (range) CFI was 6.7 (1–10) (n  =  797). Mean CFI was highest in the 9–11-months age group (7.93) and lowest for those aged 12–23 months (5.96). None of the WHO IYCF indicators was associated with LAZ, whereas CFI showed significant association with LAZ (P < 0.01). The association between higher CFI scores and LAZ became weaker as age increased. Conclusion: The results highlight the need to include a wide range of information in the analysis in order to understand the association between appropriate infant feeding practices and child growth. PMID:25226288

  16. Age and double product (systolic blood pressure x heart rate) reserve-adjusted modification of the Duke Treadmill Score nomogram in men.

    PubMed

    Sadrzadeh Rafie, Amir H; Dewey, Frederick E; Sungar, Gannon W; Ashley, Euan A; Hadley, David; Myers, Jonathan; Froelicher, Victor F

    2008-11-15

    The Duke Treadmill Score (DTS) is an established clinical tool for risk stratification. Our aim was to determine if other variables could improve the prognostic power of the DTS and if so, to modify the DTS nomogram. From a total of 1,959 patients referred for exercise testing at the Palo Alto VA Medical Center from 1997 to 2006 (a mean follow-up of 5.4 years), we studied 1,759 male veterans (age 57 +/- 12 years) free of heart failure. Double product (DP) was calculated by multiplying systolic blood pressure and heart rate; variables and their products were subtracted to obtain the differences between at rest and maximal exercise (reserve) and recovery. Of all the hemodynamic measurements, DP reserve was the strongest predictor of cardiovascular death (CVD) (Wald Z-score -3.84, p <0.001) after adjustment for potential confounders. When the components of DTS were entered in the Cox hazard model with DP reserve and age, only DP reserve and age were chosen (p <0.00001). Using the Cox coefficients, a score calculated by [age - DTS - 3 x (DP reserve/1,000)] yielded an area under the curve of 0.84 compared with 0.76 for the DTS. Using this equation, a nomogram was constructed by adding age and DP reserve to the original DTS nomogram improving estimation of annual CVD. In conclusion, we propose an age and DP reserve-adjusted DTS nomogram that improves the prognostic estimates of average annual CVD over the DTS alone.

  17. Confirming the cognition of rising scores: Fox and Mitchum (2013) predicts violations of measurement invariance in series completion between age-matched cohorts.

    PubMed

    Fox, Mark C; Mitchum, Ainsley L

    2014-01-01

    The trend of rising scores on intelligence tests raises important questions about the comparability of variation within and between time periods. Descriptions of the processes that mediate selection of item responses provide meaningful psychological criteria upon which to base such comparisons. In a recent paper, Fox and Mitchum presented and tested a cognitive theory of rising scores on analogical and inductive reasoning tests that is specific enough to make novel predictions about cohort differences in patterns of item responses for tests such as the Raven's Matrices. In this paper we extend the same proposal in two important ways by (1) testing it against a dataset that enables the effects of cohort to be isolated from those of age, and (2) applying it to two other inductive reasoning tests that exhibit large Flynn effects: Letter Series and Word Series. Following specification and testing of a confirmatory item response model, predicted violations of measurement invariance are observed between two age-matched cohorts that are separated by only 20 years, as members of the later cohort are found to map objects at higher levels of abstraction than members of the earlier cohort who possess the same overall level of ability. Results have implications for the Flynn effect and cognitive aging while underscoring the value of establishing psychological criteria for equating members of distinct groups who achieve the same scores.

  18. Association of frontal QRS-T angle--age risk score on admission electrocardiogram with mortality in patients admitted with an acute coronary syndrome.

    PubMed

    Lown, Mark T; Munyombwe, Theresa; Harrison, Wendy; West, Robert M; Hall, Christiana A; Morrell, Christine; Jackson, Beryl M; Sapsford, Robert J; Kilcullen, Niamh; Pepper, Christopher B; Batin, Phil D; Hall, Alistair S; Gale, Chris P

    2012-02-01

    Risk assessment is central to the management of acute coronary syndromes. Often, however, assessment is not complete until the troponin concentration is available. Using 2 multicenter prospective observational studies (Evaluation of Methods and Management of Acute Coronary Events [EMMACE] 2, test cohort, 1,843 patients; and EMMACE-1, validation cohort, 550 patients) of unselected patients with acute coronary syndromes, a point-of-admission risk stratification tool using frontal QRS-T angle derived from automated measurements and age for the prediction of 30-day and 2-year mortality was evaluated. Two-year mortality was lowest in patients with frontal QRS-T angles <38° and highest in patients with frontal QRS-T angles >104° (44.7% vs 14.8%, p <0.001). Increasing frontal QRS-T angle-age risk (FAAR) scores were associated with increasing 30-day and 2-year mortality (for 2-year mortality, score 0 = 3.7%, score 4 = 57%; p <0.001). The FAAR score was a good discriminator of mortality (C statistics 0.74 [95% confidence interval 0.71 to 0.78] at 30 days and 0.77 [95% confidence interval 0.75 to 0.79] at 2 years), maintained its performance in the EMMACE-1 cohort at 30 days (C statistics 0.76 (95% confidence interval 0.71 to 0.8] at 30 days and 0.79 (95% confidence interval 0.75 to 0.83] at 2 years), in men and women, in ST-segment elevation myocardial infarction and non-ST-segment elevation myocardial infarction, and compared favorably with the Global Registry of Acute Coronary Events (GRACE) score. The integrated discrimination improvement (age to FAAR score at 30 days and at 2 years in EMMACE-1 and EMMACE-2) was p <0.001. In conclusion, the FAAR score is a point-of-admission risk tool that predicts 30-day and 2-year mortality from 2 variables across a spectrum of patients with acute coronary syndromes. It does not require the results of biomarker assays or rely on the subjective interpretation of electrocardiograms.

  19. Clinical Utility of a Coronary Heart Disease Risk Prediction Gene Score in UK Healthy Middle Aged Men and in the Pakistani Population

    PubMed Central

    Beaney, Katherine E.; Cooper, Jackie A.; Ullah Shahid, Saleem; Ahmed, Waqas; Qamar, Raheel; Drenos, Fotios; Crockard, Martin A.; Humphries, Steve E.

    2015-01-01

    Background Numerous risk prediction algorithms based on conventional risk factors for Coronary Heart Disease (CHD) are available but provide only modest discrimination. The inclusion of genetic information may improve clinical utility. Methods We tested the use of two gene scores (GS) in the prospective second Northwick Park Heart Study (NPHSII) of 2775 healthy UK men (284 cases), and Pakistani case-control studies from Islamabad/Rawalpindi (321 cases/228 controls) and Lahore (414 cases/219 controls). The 19-SNP GS included SNPs in loci identified by GWAS and candidate gene studies, while the 13-SNP GS only included SNPs in loci identified by the CARDIoGRAMplusC4D consortium. Results In NPHSII, the mean of both gene scores was higher in those who went on to develop CHD over 13.5 years of follow-up (19-SNP p=0.01, 13-SNP p=7x10-3). In combination with the Framingham algorithm the GSs appeared to show improvement in discrimination (increase in area under the ROC curve, 19-SNP p=0.48, 13-SNP p=0.82) and risk classification (net reclassification improvement (NRI), 19-SNP p=0.28, 13-SNP p=0.42) compared to the Framingham algorithm alone, but these were not statistically significant. When considering only individuals who moved up a risk category with inclusion of the GS, the improvement in risk classification was statistically significant (19-SNP p=0.01, 13-SNP p=0.04). In the Pakistani samples, risk allele frequencies were significantly lower compared to NPHSII for 13/19 SNPs. In the Islamabad study, the mean gene score was higher in cases than controls only for the 13-SNP GS (2.24 v 2.34, p=0.04). There was no association with CHD and either score in the Lahore study. Conclusion The performance of both GSs showed potential clinical utility in European men but much less utility in subjects from Pakistan, suggesting that a different set of risk loci or SNPs may be required for risk prediction in the South Asian population. PMID:26133560

  20. A risk score for the prediction of advanced age-related macular degeneration: Development and validation in 2 prospective cohorts

    Technology Transfer Automated Retrieval System (TEKTRAN)

    We aimed to develop an eye specific model which used readily available information to predict risk for advanced age-related macular degeneration (AMD). We used the Age-Related Eye Disease Study (AREDS) as our training dataset, which consisted of the 4,507 participants (contributing 1,185 affected v...

  1. Yield of Screening for Coronary Artery Calcium in Early Middle-Age Adults Based on the 10-Year Framingham Risk Score

    PubMed Central

    Okwuosa, Tochi M.; Greenland, Philip; Ning, Hongyan; Liu, Kiang; Lloyd-Jones, Donald M.

    2013-01-01

    OBJECTIVES The purpose of this study was to assess the prevalence and distribution of coronary artery calcium (CAC) across Framingham Risk Score (FRS) strata and therefore determine FRS levels at which asymptomatic, young to early middle-age individuals could potentially benefit from CAC screening. BACKGROUND High CAC burden is associated with increased risk of coronary events beyond the FRS. Expert panel recommendations for CAC screening are based on data obtained in middle-age and older individuals. METHODS We included 2,831 CARDIA (Coronary Artery Risk Development in Young Adults) study participants with an age range of 33 to 45 years. The number needed to screen ([NNS] number of people in each FRS stratum who need to be screened to detect 1 person with a CAC score above the specified cut point) was used to assess the yield of screening for CAC. CAC prevalence was compared across FRS strata using a chi-square test. RESULTS CAC scores >0 and ≥100 were present in 9.9% and 1.8% of participants, respectively. CAC prevalence and amount increased across higher FRS strata. A CAC score >0 was observed in 7.3%, 20.2%, 19.1%, and 44.8% of individuals with FRSs of 0 to 2.5%, 2.6% to 5%, 5.1% to 10%, and >10%, respectively (NNS = 14, 5, 5, and 2, respectively). A CAC score of ≥100 was observed in 1.3%, 2.4%, and 3.5% of those with FRSs of 0 to 2.5%, 2.6% to 5%, and 5.1% to 10%, respectively (NNS = 79, 41, and 29, respectively), but in 17.2% of those with an FRS >10% (NNS = 6). Similar trends were observed when findings were stratified by sex and race. CONCLUSIONS In this young to early middle-age cohort, we observed concordance between CAC prevalence/amount and FRS strata. Within this group, the yield of screening and possibility of identifying those with a high CAC burden (CAC score of ≥100) is low in those with an FRS of ≤10%, but considerable in those with an FRS >10%. PMID:22974805

  2. Development and Validation of a Risk Score Predicting Substantial Weight Gain over 5 Years in Middle-Aged European Men and Women

    PubMed Central

    Steffen, Annika; Sørensen, Thorkild I A.; Knüppel, Sven; Travier, Noemie; Sánchez, María-José; Huerta, José María; Quirós, J. Ramón; Ardanaz, Eva; Dorronsoro, Miren; Teucher, Birgit; Li, Kuanrong; Bueno-de-Mesquita, H. Bas; van der A, Daphne; Mattiello, Amalia; Palli, Domenico; Tumino, Rosario; Krogh, Vittorio; Vineis, Paolo; Trichopoulou, Antonia; Orfanos, Philippos; Trichopoulos, Dimitrios; Hedblad, Bo; Wallström, Peter; Overvad, Kim; Halkjær, Jytte; Tjønneland, Anne; Fagherazzi, Guy; Dartois, Laureen; Crowe, Francesca; Khaw, Kay-Tee; Wareham, Nick; Middleton, Lefkos; May, Anne M.; Peeters, Petra H. M.; Boeing, Heiner

    2013-01-01

    Background Identifying individuals at high risk of excess weight gain may help targeting prevention efforts at those at risk of various metabolic diseases associated with weight gain. Our aim was to develop a risk score to identify these individuals and validate it in an external population. Methods We used lifestyle and nutritional data from 53°758 individuals followed for a median of 5.4 years from six centers of the European Prospective Investigation into Cancer and Nutrition (EPIC) to develop a risk score to predict substantial weight gain (SWG) for the next 5 years (derivation sample). Assuming linear weight gain, SWG was defined as gaining ≥10% of baseline weight during follow-up. Proportional hazards models were used to identify significant predictors of SWG separately by EPIC center. Regression coefficients of predictors were pooled using random-effects meta-analysis. Pooled coefficients were used to assign weights to each predictor. The risk score was calculated as a linear combination of the predictors. External validity of the score was evaluated in nine other centers of the EPIC study (validation sample). Results Our final model included age, sex, baseline weight, level of education, baseline smoking, sports activity, alcohol use, and intake of six food groups. The model's discriminatory ability measured by the area under a receiver operating characteristic curve was 0.64 (95% CI = 0.63–0.65) in the derivation sample and 0.57 (95% CI  = 0.56–0.58) in the validation sample, with variation between centers. Positive and negative predictive values for the optimal cut-off value of ≥200 points were 9% and 96%, respectively. Conclusion The present risk score confidently excluded a large proportion of individuals from being at any appreciable risk to develop SWG within the next 5 years. Future studies, however, may attempt to further refine the positive prediction of the score. PMID:23874419

  3. Apgar Scores

    MedlinePlus

    ... because she is blue and not pink. Most newborn infants have Apgar scores greater than 7. Because their ... between 8 and 10. A small percentage of newborns have Apgar scores of less than ... low scores than infants with normal births. These scores may reflect difficulties ...

  4. Organophosphate Insecticide Metabolites in Prenatal and Childhood Urine Samples and Intelligence Scores at 6 Years of Age: Results from the Mother–Child PELAGIE Cohort (France)

    PubMed Central

    Cartier, Chloé; Warembourg, Charline; Le Maner-Idrissi, Gaïd; Lacroix, Agnès; Rouget, Florence; Monfort, Christine; Limon, Gwendolina; Durand, Gaël; Saint-Amour, Dave; Cordier, Sylvaine; Chevrier, Cécile

    2015-01-01

    Background: Several studies suggest that exposure to organophosphate insecticides (OP) during pregnancy impairs neurodevelopment in children. Objectives: We evaluated associations between biomarkers of prenatal and postnatal OP exposure and cognitive function of 6-year-olds in a French longitudinal birth cohort. Methods: In 2002–2006, the PELAGIE mother–child cohort enrolled pregnant women from Brittany. For a random subcohort, we measured nonspecific dialkylphosphate metabolites (DAP) of OP in one maternal urine sample, collected before 19 weeks’ gestation, and in one urine sample collected from their 6-year-old children. Six subtests of the Wechsler Intelligence Scale for Children, 4th edition (WISC-IV) were administered when the children were 6 years of age to evaluate cognitive function (n = 231). Linear regression models controlling for factors including maternal intelligence and the Home Observation for Measurement of the Environment score were used. Results: WISC-IV scores were not significantly associated with prenatal or childhood total DAP metabolites. WISC verbal comprehension score was significantly higher in association with the highest maternal urinary concentrations of diethylphosphate (DE) metabolites (5.5; 95% CI: 0.8, 10.3 for > 13.2 nmol/L vs. < LOQ), whereas WISC working memory score was significantly lower in association with the highest urinary concentrations of DE metabolites at age 6 years (–3.6; 95% CI: –7.8, –0.6 for > 11.1 nmol/L vs. < LOD). Conclusion: We found no evidence that prenatal OP exposure adversely affected cognitive function in 6-year-olds, perhaps because of the population’s socioeconomic status, which was higher than in previous studies, though other causal and noncausal explanations are also possible. The negative association between WISC score and concurrent DE urinary concentrations requires replication by longitudinal studies investigating childhood OP exposure. Citation: Cartier C, Warembourg C, Le Maner

  5. Organizational strategy use in children aged 5-7: standardization and validity of the Rey Complex Figure Organizational Strategy Score (RCF-OSS).

    PubMed

    Martens, R; Hurks, P P M; Jolles, J

    2014-01-01

    This study investigated psychometric properties (standardization and validity) of the Rey Complex Figure Organizational Strategy Score (RCF-OSS) in a sample of 217 healthy children aged 5-7 years. Our results showed that RCF-OSS performance changes significantly between 5 and 7 years of age. While most 5-year-olds used a local approach when copying the Rey-Osterrieth Complex Figure (ROCF), 7-year-olds increasingly adopted a global approach. RCF-OSS performance correlated significantly, but moderately with measures of ROCF accuracy, executive functioning (fluency, working memory, reasoning), and non-executive functioning (visual-motor integration, visual attention, processing speed, numeracy). These findings seem to indicate that RCF-OSS performance reflects a range of cognitive skills at 5 to 7 years of age, including aspects of executive and non-executive functioning.

  6. Automated tissue classification of pediatric brains from magnetic resonance images using age-specific atlases

    NASA Astrophysics Data System (ADS)

    Metzger, Andrew; Benavides, Amanda; Nopoulos, Peg; Magnotta, Vincent

    2016-03-01

    The goal of this project was to develop two age appropriate atlases (neonatal and one year old) that account for the rapid growth and maturational changes that occur during early development. Tissue maps from this age group were initially created by manually correcting the resulting tissue maps after applying an expectation maximization (EM) algorithm and an adult atlas to pediatric subjects. The EM algorithm classified each voxel into one of ten possible tissue types including several subcortical structures. This was followed by a novel level set segmentation designed to improve differentiation between distal cortical gray matter and white matter. To minimize the req uired manual corrections, the adult atlas was registered to the pediatric scans using high -dimensional, symmetric image normalization (SyN) registration. The subject images were then mapped to an age specific atlas space, again using SyN registration, and the resulting transformation applied to the manually corrected tissue maps. The individual maps were averaged in the age specific atlas space and blurred to generate the age appropriate anatomical priors. The resulting anatomical priors were then used by the EM algorithm to re-segment the initial training set as well as an independent testing set. The results from the adult and age-specific anatomical priors were compared to the manually corrected results. The age appropriate atlas provided superior results as compared to the adult atlas. The image analysis pipeline used in this work was built using the open source software package BRAINSTools.

  7. THE EFFECT OF AGE AS A VARIABLE ON THE SCORES OF THE HARRIS-GOODENOUGH DRAWING TEST OF EDUCABLE RETARDATES.

    ERIC Educational Resources Information Center

    LEVY, IRWIN S.

    IN ORDER TO DETERMINE THE RELIABILITY OF PERFORMANCE OF RETARDED ADOLESCENTS ON THE HARRIS REVISION OF THE GOODENOUGH DRAW-A-MAN TEST (DAM) AND WHETHER THE DECLINE IN PERFORMANCE WHICH OCCURS IN NORMAL ADOLESCENTS AT THE MID-TEENS ALSO OCCURS WITH RETARDED ADOLESCENTS, 213 MALE AND 130 FEMALE SUBJECTS, AGED 11-20 YEARS AND WITH IQ'S OF 56-72, IN…

  8. Combined Effects of Spaceflight and Age in Astronauts as Assessed by Areal Bone Mineral Density [BMD] and Trabecular Bone Score

    NASA Technical Reports Server (NTRS)

    Sibonga, Jean D.; Spector, Elizabeth R.; Ploutz-Snyder, R.; Evans, H. J.; King, L.; Watts, N. B.; Hans, D.; Smith, S. A.

    2013-01-01

    Spaceflight is a potential risk factor for secondary osteoporosis in astronauts. Although lumbar spine (LS) BMD declines rapidly, more than expected for age, there have been no fragility fractures in astronauts that can clearly be attributed to spaceflight. Recently, astronauts have been returning from 6-month spaceflights with absolute BMD still above young adult mean BMD. In spite of these BMD measurements, we project that the rapid loss in bone mass over long-duration spaceflight affects the bone microarchitecture of the LS which might predispose astronauts to premature vertebral fractures. Thus, we evaluated TBS, a novel texture index correlated with vertebral bone microarchitecture, as a means of monitoring changes to bone microarchitecture in astronauts as they age. We previously reported that TBS detects an effect of spaceflight (6-month duration), independent of BMD, in 51 astronauts (47+/-4 y) (Smith et al, J Clin Densitometry 2014). Hence, TBS was evaluated in serial DXA scans (Hologic Discovery W) conducted triennially in all active and retired astronauts and more frequently (before spaceflight, after spaceflight and until recovery) in the subset of astronauts flying 4-6- month missions. We used non-linear models to describe trends in observations (BMD or TBS) plotted as a function of astronaut age. We fitted 1175 observations of 311 astronauts, pre-flight and then postflight starting 3 years after landing or after astronaut's BMD for LS was restored to within 2% of preflight BMD. Observations were then grouped and defined as follows: 1) LD: after exposure to at least one long-duration spaceflight > 100 days and 2) SD: before LD and after exposure to at least one short-duration spaceflight < 30 days. Data from males and females were analyzed separately. Models of SD observations revealed that TBS and BMD had similar curvilinear declines with age for both male and female astronauts. However, models of LD observations showed TBS declining with age while

  9. Multivariate Analyses and Classification of Inertial Sensor Data to Identify Aging Effects on the Timed-Up-and-Go Test

    PubMed Central

    Vervoort, Danique; Vuillerme, Nicolas; Kosse, Nienke; Hortobágyi, Tibor; Lamoth, Claudine J. C.

    2016-01-01

    Many tests can crudely quantify age-related mobility decrease but instrumented versions of mobility tests could increase their specificity and sensitivity. The Timed-up-and-Go (TUG) test includes several elements that people use in daily life. The test has different transition phases: rise from a chair, walk, 180° turn, walk back, turn, and sit-down on a chair. For this reason the TUG is an often used test to evaluate in a standardized way possible decline in balance and walking ability due to age and or pathology. Using inertial sensors, qualitative information about the performance of the sub-phases can provide more specific information about a decline in balance and walking ability. The first aim of our study was to identify variables extracted from the instrumented timed-up-and-go (iTUG) that most effectively distinguished performance differences across age (age 18–75). Second, we determined the discriminative ability of those identified variables to classify a younger (age 18–45) and older age group (age 46–75). From healthy adults (n = 59), trunk accelerations and angular velocities were recorded during iTUG performance. iTUG phases were detected with wavelet-analysis. Using a Partial Least Square (PLS) model, from the 72-iTUG variables calculated across phases, those that explained most of the covariance between variables and age were extracted. Subsequently, a PLS-discriminant analysis (DA) assessed classification power of the identified iTUG variables to discriminate the age groups. 27 variables, related to turning, walking and the stand-to-sit movement explained 71% of the variation in age. The PLS-DA with these 27 variables showed a sensitivity and specificity of 90% and 85%. Based on this model, the iTUG can accurately distinguish young and older adults. Such data can serve as a reference for pathological aging with respect to a widely used mobility test. Mobility tests like the TUG supplemented with smart technology could be used in clinical

  10. Patient age, remission status and HCT-CI in a combined score are prognostic for patients with AML undergoing allogeneic hematopoietic cell transplantation in CR1 and CR2.

    PubMed

    Michelis, F V; Messner, H A; Atenafu, E G; McGillis, L; Lambie, A; Uhm, J; Alam, N; Seftel, M D; Gupta, V; Kuruvilla, J; Lipton, J H; Kim, D D

    2015-11-01

    For AML, older age, advanced disease and increased hematopoietic cell transplant comorbidity index (HCT-CI) are associated with worse prognosis following allogeneic hematopoietic cell transplantation (HCT). This single-center retrospective study investigated the influence of pre-transplant characteristics on outcomes of 387 patients undergoing allogeneic HCT for AML in CR1 and CR2. The multivariable analysis model for overall survival (OS) included age (hazard ratio (HR)=2.24 for ages 31-64 years and HR=3.23 for age ⩾65 years compared with age ⩽30 years, P=0.003), remission status (HR=1.49 for CR2 compared with CR1, P=0.005) and HCT-CI score (HR=1.47 for ⩾3 compared with <3, P=0.005). Transplant year was significantly associated with OS (P=0.001) but this did not influence the model. A weighted score was developed with age ⩽30, CR1 and HCT-CI score <3 receiving 0 points each, and CR2 and HCT-CI score ⩾3 receiving 1 point each. Ages 31-64 received 2 points, age ⩾65 received 3 points. Scores were grouped as follows: scores 0-1 (low risk, n=36), score 2 (intermediate-low risk, n=147), score 3 (intermediate-high risk, n=141) and scores 4-5 (high risk, n=63) with 3-year OS of 71%, 55%, 42% and 29% for scores 0-1, 2, 3 and 4-5, respectively (P<0.0001). The score predicted nonrelapse mortality (P=0.03) but not cumulative incidence of relapse (P=0.18). This model should be validated for the pre-HCT assessment of AML patients in CR1 and CR2.

  11. Influence of Biomedical Factors on the Five Viscera Score (FVS) on Middle-Aged and Elderly Individuals: Application of Structural Equation Modeling

    PubMed Central

    Tomura, Taro; Yoshimasu, Kouichi; Sakaguchi, Shunji; Tsuno, Kanami; Takemura, Shigeki; Miyai, Nobuyuki; Miyashita, Kazuhisa

    2015-01-01

    The five viscera score (FVS) is a diagnostic scale for traditional Chinese medicine (TCM). The purposes of current study are to elucidate the characteristics of FVS obtained from middle-aged to elderly individuals and to investigate the validity of FVS using biological medical data of middle-aged and elderly individuals. Structural equation modeling (SEM) was used to conduct assessments between FVS and medical data. Eighty men and 99 women participated in this study, whose mean ages (SD) were 58 ± 7 years in both genders showing no significant difference. FVS of women was significantly higher than that of men in the spleen of the 50s (P = 0.019) and liver of the 60s age group (P = 0.030). By SEM, the following biomedical factors were found to influence viscera: gender, diastolic blood pressure, and HDL-C for the liver; GLU, GOT, and γ-GTP for the spleen; age, BMI, and HCRP for the lungs; and HbA1c and creatinine clearance for the kidneys. These results provide objective evidence that FVS can be used for TCM diagnosis in middle-aged and elderly individuals. PMID:26495022

  12. A competing-risk-based score for predicting twenty-year risk of incident diabetes: the Beijing Longitudinal Study of Ageing study

    PubMed Central

    Liu, Xiangtong; Chen, Zhenghong; Fine, Jason Peter; Liu, Long; Wang, Anxin; Guo, Jin; Tao, Lixin; Mahara, Gehendra; Yang, Kun; Zhang, Jie; Tian, Sijia; Li, Haibin; Liu, Kuo; Luo, Yanxia; Zhang, Feng; Tang, Zhe; Guo, Xiuhua

    2016-01-01

    Few risk tools have been proposed to quantify the long-term risk of diabetes among middle-aged and elderly individuals in China. The present study aimed to develop a risk tool to estimate the 20-year risk of developing diabetes while incorporating competing risks. A three-stage stratification random-clustering sampling procedure was conducted to ensure the representativeness of the Beijing elderly. We prospectively followed 1857 community residents aged 55 years and above who were free of diabetes at baseline examination. Sub-distribution hazards models were used to adjust for the competing risks of non-diabetes death. The cumulative incidence function of twenty-year diabetes event rates was 11.60% after adjusting for the competing risks of non-diabetes death. Age, body mass index, fasting plasma glucose, health status, and physical activity were selected to form the score. The area under the ROC curve (AUC) was 0.76 (95% Confidence Interval: 0.72–0.80), and the optimism-corrected AUC was 0.78 (95% Confidence Interval: 0.69–0.87) after internal validation by bootstrapping. The calibration plot showed that the actual diabetes risk was similar to the predicted risk. The cut-off value of the risk score was 19 points, marking mark the difference between low-risk and high-risk patients, which exhibited a sensitivity of 0.74 and specificity of 0.65. PMID:27849048

  13. Apgar score

    MedlinePlus

    ... the baby's: Breathing effort Heart rate Muscle tone Reflexes Skin color Each category is scored with 0, ... scores 2 for muscle tone. Grimace response or reflex irritability is a term describing response to stimulation, ...

  14. Development of Classification and Free Recall in Children as a Function of Labeling, Partial Grouping, and Category

    ERIC Educational Resources Information Center

    Etaugh, Claire; Meyers, Wendy

    1975-01-01

    Children from grades 1, 3 and 5 classified and later recalled 24 pictorial items. It was found that classification, recall and clustering scores increase with age and vary as a function of item category. (GO)

  15. Classification of Body Fatness by Body Mass Index–for-Age Categories Among Children

    PubMed Central

    Freedman, David S.; Wang, Jack; Thornton, John C.; Mei, Zuguo; Sopher, Aviva B.; Pierson, Richard N.; Dietz, William H.; Horlick, Mary

    2010-01-01

    Objective To examine the ability of various body mass index (BMI)–for-age categories, including the Centers for Disease Control and Prevention’s 85th to 94th percentiles, to correctly classify the body fatness of children and adolescents. Design Cross-sectional. Setting The New York Obesity Research Center at St Luke’s–Roosevelt Hospital from 1995 to 2000. Participants Healthy 5- to 18-year-old children and adolescents (N=1196) were recruited in the New York City area through newspaper notices, announcements at schools and activity centers, and word of mouth. Main Outcome Measures Percent body fat as determined by dual-energy x-ray absorptiometry. Body fatness cutoffs were chosen so that the number of children in each category (normal, moderate, and elevated fatness) would equal the number of children in the corresponding BMI-for-age category (<85th percentile, 85th–94th percentile, and ≥95th percentile, respectively). Results About 77% of the children who had a BMI for age at or above the 95th percentile had an elevated body fatness, but levels of body fatness among children who had a BMI for age between the 85th and 94th percentiles (n=200) were more variable; about one-half of these children had a moderate level of body fatness, but 30% had a normal body fatness and 20% had an elevated body fatness. The prevalence of normal levels of body fatness among these 200 children was highest among black children (50%) and among those within the 85th to 89th percentiles of BMI for age (40%). Conclusion Body mass index is an appropriate screening test to identify children who should have further evaluation and follow-up, but it is not diagnostic of level of adiposity. PMID:19736333

  16. Serum folate but not vitamin B-12 concentrations are positively associated with cognitive test scores in children aged 6-16 years.

    PubMed

    Nguyen, Cathy T; Gracely, Edward J; Lee, Brian K

    2013-04-01

    Folate and vitamin B-12 are important for nervous system functioning at all ages, with important roles in functions such as neurotransmitter synthesis. Although studies suggest a relation between folate and vitamin B-12 and cognitive function in the elderly population, there is relatively less evidence regarding these vitamins and children's cognitive function. The purpose of the study was to examine the associations of serum folate and vitamin B-12 with cognitive performance in children 6-16 y old in the NHANES III, conducted from 1988 to 1994, prior to the implementation of folic acid fortification. A cross-sectional analysis was conducted using data on 5365 children 6-16 y old from NHANES III. Serum folate and vitamin B-12 concentrations were measured, along with performance, on the Wide Range Achievement Test-Revised and the Wechsler Intelligence Scale for Children-Revised. Associations of B vitamins with cognitive performance were assessed using linear regression models adjusted for various covariates. Higher serum concentrations of folate were associated with higher reading and block design scores after adjusting for various covariates. For example, compared with the lowest quartile of folate, children in the highest quartile scored 3.28 points or 0.19 SD units higher on the reading test (P < 0.05). Vitamin B-12 was not associated with any of the test scores. In the largest study to date, higher folate concentrations were associated with better reading and block design scores. These associations appear to be biologically plausible and merit further study.

  17. Lunar crater arcs. [origins, distribution and age classification of Pre-Imbrian families

    NASA Technical Reports Server (NTRS)

    Jaffe, L. D.; Bulkley, E. O.

    1976-01-01

    An analysis has been made of the tendency of large lunar craters to lie along circles. A catalog of the craters at least 50 km in diameter was prepared first, noting position, diameter, rim sharpness and completion, nature of underlying surface, and geological age. The subset of those craters 50-400 km in diameter was then used as input to computer programs which identified each 'family' of four or more craters of selected geological age lying on a circular arc. For comparison, families were also identified for randomized crater models in which the crater spatial density was matched to that on the moon, either overall or separately for mare and highland areas. The observed frequency of lunar arcuate families was statistically highly significantly greater than for the randomized models, for craters classified as either late-pre-Imbrian (Nectarian), middle pre-Imbrian, or early pre-Imbrian, as well as for a number of larger age-classes. The lunar families tend to center in specific areas of the moon; these lie in highlands rather than maria and are different for families of Nectarian craters than for pre-Nectarian. The origin of the arcuate crater groupings is not understood.

  18. A prospective study of calf factors affecting age, body size, and body condition score at first calving of holstein dairy heifers.

    PubMed

    Heinrichs, A J; Heinrichs, B S; Harel, O; Rogers, G W; Place, N T

    2005-08-01

    Data were collected prospectively on parameters related to first calving on 18 farms located in Northeastern Pennsylvania. This project was designed to study possible residual effects of calf management practices and events occurring during the first 16 wk of life on age, BW, skeletal growth, and body condition score at first calving. Multiple imputation method for handling missing data was incorporated in these analyses. This method has the advantage over ad hoc single imputations because the appropriate error structure is maintained. Much similarity was found between the multiple imputation method and a traditional mixed model analysis, except that some estimates from the multiple imputation method seemed more logical in their effects on the parameter measured. Factors related to increased age at first calving were increased difficulty of delivery, antibiotic treatment of sick calves, increased amount of milk or milk replacer fed before weaning, reduced quality of forage fed to weaned calves, maximum humidity, mean daily temperature, and maximum ammonia levels in calf housing areas. Body weight at calving tended to increase with parity of the dam, increased amount of grain fed to calves, increased ammonia levels, and increased mean temperature of the calf housing area. Body condition score at calving tended to be positively influenced by delivery score at first calving, dam parity, and milk or milk replacer dry matter intake. Withers height at calving was positively affected by treatment of animals with antibiotics and increased mean temperature in the calf area. This study demonstrated that nutrition, housing, and management factors that affect health and growth of calves have long-term effects on the animal at least through first calving.

  19. Demographic corrections appear to compromise classification accuracy for severely skewed cognitive tests.

    PubMed

    O'Connell, Megan E; Tuokko, Holly; Kadlec, Helena

    2011-04-01

    Demographic corrections for cognitive tests should improve classification accuracy by reducing age or education biases, but empirical support has been equivocal. Using a simulation procedure, we show that creating moderate or extreme skewness in cognitive tests compromises the classification accuracy of demographic corrections, findings that appear replicated within clinical data for the few neuropsychological test scores with an extreme degree of skew. For most neuropsychological tests, the dementia classification accuracy of raw and demographically corrected scores was equivalent. These findings suggest that the dementia classification accuracy of demographic corrections is robust to slight degrees of skew (i.e., skewness <1.5).

  20. Cross-Classification of Human Urinary Lipidome by Sex, Age, and Body Mass Index

    PubMed Central

    Okemoto, Kazuo; Maekawa, Keiko; Tajima, Yoko; Tohkin, Masahiro; Saito, Yoshiro

    2016-01-01

    Technological advancements in past decades have led to the development of integrative analytical approaches to lipidomics, such as liquid chromatography-mass spectrometry (LC/MS), and information about biogenic lipids is rapidly accumulating. Although several cohort-based studies have been conducted on the composition of urinary lipidome, the data on urinary lipids cross-classified by sex, age, and body mass index (BMI) are insufficient to screen for various abnormalities. To promote the development of urinary lipid metabolome-based diagnostic assay, we analyzed 60 urine samples from healthy white adults (young (c.a., 30 years) and old (c.a., 60 years) men/women) using LC/MS. Women had a higher urinary concentration of omega-3 12-lipoxygenase (LOX)-generated oxylipins with anti-inflammatory activity compared to men. In addition, young women showed increased abundance of poly-unsaturated fatty acids (PUFAs) and cytochrome P450 (P450)-produced oxylipins with anti-hypertensive activity compared with young men, whereas elderly women exhibited higher concentration of 5-LOX-generated anti-inflammatory oxylipins than elderly men. There were no significant differences in urinary oxylipin levels between young and old subjects or between subjects with low and high BMI. Our findings suggest that sex, but neither ages nor BMI could be a confounding factor for measuring the composition of urinary lipid metabolites in the healthy population. The information showed contribute to the development of reliable biomarker findings from urine. PMID:27973561

  1. WAIS-IV reliable digit span is no more accurate than age corrected scaled score as an indicator of invalid performance in a veteran sample undergoing evaluation for mTBI.

    PubMed

    Spencer, Robert J; Axelrod, Bradley N; Drag, Lauren L; Waldron-Perrine, Brigid; Pangilinan, Percival H; Bieliauskas, Linas A

    2013-01-01

    Reliable Digit Span (RDS) is a measure of effort derived from the Digit Span subtest of the Wechsler intelligence scales. Some authors have suggested that the age-corrected scaled score provides a more accurate measure of effort than RDS. This study examined the relative diagnostic accuracy of the traditional RDS, an extended RDS including the new Sequencing task from the Wechsler Adult Intelligence Scale-IV, and the age-corrected scaled score, relative to performance validity as determined by the Test of Memory Malingering. Data were collected from 138 Veterans seen in a traumatic brain injury clinic. The traditional RDS (≤ 7), revised RDS (≤ 11), and Digit Span age-corrected scaled score ( ≤ 6) had respective sensitivities of 39%, 39%, and 33%, and respective specificities of 82%, 89%, and 91%. Of these indices, revised RDS and the Digit Span age-corrected scaled score provide the most accurate measure of performance validity among the three measures.

  2. Mitochondrial Lon protease in human disease and aging: Including an etiologic classification of Lon-related diseases and disorders

    PubMed Central

    Bota, Daniela A.; Davies, Kelvin J.A.

    2016-01-01

    The Mitochondrial Lon protease, also called LonP1 is a product of the nuclear gene LONP1. Lon is a major regulator of mitochondrial metabolism and response to free radical damage, as well as an essential factor for the maintenance and repair of mitochondrial DNA. Lon is an ATP-stimulated protease that cycles between being bound (at the inner surface of the inner mitochondrial membrane) to the mitochondrial genome, and being released into the mitochondrial matrix where it can degrade matrix proteins. At least three different roles or functions have been ascribed to Lon: 1) Proteolytic digestion of oxidized proteins and the turnover of specific essential mitochondrial enzymes such as aconitase, TFAM, and StAR; 2) Mitochondrial (mt)DNA-binding protein, involved in mtDNA replication and mitogenesis; and 3) Protein chaperone, interacting with the Hsp60–mtHsp70 complex. LONP1 orthologs have been studied in bacteria, yeast, flies, worms, and mammals, evincing the widespread importance of the gene, as well as its remarkable evolutionary conservation. In recent years, we have witnessed a significant increase in knowledge regarding Lon's involvement in physiological functions, as well as in an expanding array of human disorders, including cancer, neurodegeneration, heart disease, and stroke. In addition, Lon appears to have a significant role in the aging process. A number of mitochondrial diseases have now been identified whose mechanisms involve various degrees of Lon dysfunction. In this paper we review current knowledge of Lon's function, under normal conditions, and we propose a new classification of human diseases characterized by a either over-expression or decline or loss of function of Lon. Lon has also been implicated in human aging, and we review the data currently available as well as speculating about possible interactions of aging and disease. Finally, we also discuss Lon as potential therapeutic target in human disease. PMID:27387767

  3. Scoring Package

    National Institute of Standards and Technology Data Gateway

    NIST Scoring Package (PC database for purchase)   The NIST Scoring Package (Special Database 1) is a reference implementation of the draft Standard Method for Evaluating the Performance of Systems Intended to Recognize Hand-printed Characters from Image Data Scanned from Forms.

  4. Propensity Scores

    ERIC Educational Resources Information Center

    Luellen, Jason K.; Shadish, William R.; Clark, M. H.

    2005-01-01

    Propensity score analysis is a relatively recent statistical innovation that is useful in the analysis of data from quasi-experiments. The goal of propensity score analysis is to balance two non-equivalent groups on observed covariates to get more accurate estimates of the effects of a treatment on which the two groups differ. This article…

  5. Local configuration pattern features for age-related macular degeneration characterization and classification.

    PubMed

    Mookiah, Muthu Rama Krishnan; Acharya, U Rajendra; Fujita, Hamido; Koh, Joel E W; Tan, Jen Hong; Noronha, Kevin; Bhandary, Sulatha V; Chua, Chua Kuang; Lim, Choo Min; Laude, Augustinus; Tong, Louis

    2015-08-01

    Age-related Macular Degeneration (AMD) is an irreversible and chronic medical condition characterized by drusen, Choroidal Neovascularization (CNV) and Geographic Atrophy (GA). AMD is one of the major causes of visual loss among elderly people. It is caused by the degeneration of cells in the macula which is responsible for central vision. AMD can be dry or wet type, however dry AMD is most common. It is classified into early, intermediate and late AMD. The early detection and treatment may help one to stop the progression of the disease. Automated AMD diagnosis may reduce the screening time of the clinicians. In this work, we have introduced LCP to characterize normal and AMD classes using fundus images. Linear Configuration Coefficients (CC) and Pattern Occurrence (PO) features are extracted from fundus images. These extracted features are ranked using p-value of the t-test and fed to various supervised classifiers viz. Decision Tree (DT), Nearest Neighbour (k-NN), Naive Bayes (NB), Probabilistic Neural Network (PNN) and Support Vector Machine (SVM) to classify normal and AMD classes. The performance of the system is evaluated using both private (Kasturba Medical Hospital, Manipal, India) and public domain datasets viz. Automated Retinal Image Analysis (ARIA) and STructured Analysis of the Retina (STARE) using ten-fold cross validation. The proposed approach yielded best performance with a highest average accuracy of 97.78%, sensitivity of 98.00% and specificity of 97.50% for STARE dataset using 22 significant features. Hence, this system can be used as an aiding tool to the clinicians during mass eye screening programs to diagnose AMD.

  6. Competence Classification of Cumulus and Granulosa Cell Transcriptome in Embryos Matched by Morphology and Female Age

    PubMed Central

    Thuesen, Lea Langhoff; Andersen, Claus Yding; Nyboe-Andersen, Anders; Ziebe, Søren; Winther, Ole; Grøndahl, Marie Louise

    2016-01-01

    Objective By focussing on differences in the mural granulosa cell (MGC) and cumulus cell (CC) transcriptomes from follicles resulting in competent (live birth) and non-competent (no pregnancy) oocytes the study aims on defining a competence classifier expression profile in the two cellular compartments. Design: A case-control study. Setting: University based facilities for clinical services and research. Patients: MGC and CC samples from 60 women undergoing IVF treatment following the long GnRH-agonist protocol were collected. Samples from 16 oocytes where live birth was achieved and 16 age- and embryo morphology matched incompetent oocytes were included in the study. Methods MGC and CC were isolated immediately after oocyte retrieval. From the 16 competent and non-competent follicles, mRNA was extracted and expression profile generated on the Human Gene 1.0 ST Affymetrix array. Live birth prediction analysis using machine learning algorithms (support vector machines) with performance estimation by leave-one-out cross validation and independent validation on an external data set. Results We defined a signature of 30 genes expressed in CC predictive of live birth. This live birth prediction model had an accuracy of 81%, a sensitivity of 0.83, a specificity of 0.80, a positive predictive value of 0.77, and a negative predictive value of 0.86. Receiver operating characteristic analysis found an area under the curve of 0.86, significantly greater than random chance. When applied on 3 external data sets with the end-point outcome measure of blastocyst formation, the signature resulted in 62%, 75% and 88% accuracy, respectively. The genes in the classifier are primarily connected to apoptosis and involvement in formation of extracellular matrix. We were not able to define a robust MGC classifier signature that could classify live birth with accuracy above random chance level. Conclusion We have developed a cumulus cell classifier, which showed a promising performance on

  7. Quantitative assessment of oscillatory components in blood circulation: classification of the effect of aging, diabetes, and acute myocardial infarction

    NASA Astrophysics Data System (ADS)

    Bernjak, Alan; Stefanovska, Aneta; Urbancic-Rovan, Vilma; Azman-Juvan, Katja

    2005-04-01

    The human cardiovascular system is a complex system with the pumping activity of the heart as the main generator of oscillations. Besides the heartbeat there are several other oscillatory components which determine its dynamics. Their nonlinear nature and a weak coupling between them both require special treatment while studying this system. A particular characteristic of the oscillatory components is their frequency fluctuations in time. Consequently, their interactions also fluctuate in time. Therefore the wavelet transform is applied to trace the oscillatory components in time, and specific quantitative measures are introduced to quantify the contribution of each of the oscillatory components involved on the time scale of up to three minutes. Oscillatory components are then analysed from signals obtained by simultaneous measurements of blood flow in the microcirculation, ECG, respiration and blood pressure. Based on quantitative evaluation of the oscillatory components related to (I) the heart beat (0.6-2Hz), (II) respiration (0.145-0.6Hz), (III) intrinsic myogenic activity (0.052-0.145Hz), (IV) sympathetic activity (0.021-0.052Hz), (V, VI) endothelial related activity (0.0095-0.021Hz, 0.005 - 0.0095 Hz), 30-minutes recording taken on 109 healthy subjects, 75 patients with diabetes, and 82 patients after acute myocardial infarction (AMI) were analysed. Classification of the effect of ageing, diabetes and AMI from blood flow signals simultaneously recorded in the skin of four extremities, the heart rate and heart rate variability from R-R intervals will be presented and discussed.

  8. Age-related differences in the neural basis of the subjective vividness of memories: evidence from multivoxel pattern classification.

    PubMed

    Johnson, Marcia K; Kuhl, Brice A; Mitchell, Karen J; Ankudowich, Elizabeth; Durbin, Kelly A

    2015-09-01

    Although older adults often show reduced episodic memory accuracy, their ratings of the subjective vividness of their memories often equal or even exceed those of young adults. Such findings suggest that young and older adults may differentially access and/or weight different kinds of information in making vividness judgments. We examined this idea using multivoxel pattern classification of fMRI data to measure category representations while participants saw and remembered pictures of objects and scenes. Consistent with our hypothesis, there were age-related differences in how category representations related to the subjective sense of vividness. During remembering, older adults' vividness ratings were more related, relative to young adults', to category representations in prefrontal cortex. In contrast, young adults' vividness ratings were more related, relative to older adults, to category representations in parietal cortex. In addition, category representations were more correlated among posterior regions in young than in older adults, whereas correlations between PFC and posterior regions did not differ between the 2 groups. Together, these results are consistent with the idea that young and older adults differentially weight different types of information in assessing subjective vividness of their memories.

  9. A weighted polygenic risk score using 14 known susceptibility variants to estimate risk and age onset of psoriasis in Han Chinese.

    PubMed

    Yin, Xianyong; Cheng, Hui; Lin, Yan; Wineinger, Nathan E; Zhou, Fusheng; Sheng, Yujun; Yang, Chao; Li, Pan; Li, Feng; Shen, Changbing; Yang, Sen; Schork, Nicholas J; Zhang, Xuejun

    2015-01-01

    With numbers of common variants identified mainly through genome-wide association studies (GWASs), there is great interest in incorporating the findings into screening individuals at high risk of psoriasis. The purpose of this study is to establish genetic prediction models and evaluate its discriminatory ability in psoriasis in Han Chinese population. We built the genetic prediction models through weighted polygenic risk score (PRS) using 14 susceptibility variants in 8,819 samples. We found the risk of psoriasis among individuals in the top quartile of PRS was significantly larger than those in the lowest quartile of PRS (OR = 28.20, P < 2.0×10(-16)). We also observed statistically significant associations between the PRS, family history and early age onset of psoriasis. We also built a predictive model with all 14 known susceptibility variants and alcohol consumption, which achieved an area under the curve statistic of ~ 0.88. Our study suggests that 14 psoriasis known susceptibility loci have the discriminating potential, as is also associated with family history and age of onset. This is the genetic predictive model in psoriasis with the largest accuracy to date.

  10. Developmental Sentence Scoring for Japanese

    ERIC Educational Resources Information Center

    Miyata, Susanne; MacWhinney, Brian; Otomo, Kiyoshi; Sirai, Hidetosi; Oshima-Takane, Yuriko; Hirakawa, Makiko; Shirai, Yasuhiro; Sugiura, Masatoshi; Itoh, Keiko

    2013-01-01

    This article reports on the development and use of the Developmental Sentence Scoring for Japanese (DSSJ), a new morpho-syntactical measure for Japanese constructed after the model of Lee's English Developmental Sentence Scoring model. Using this measure, the authors calculated DSSJ scores for 84 children divided into six age groups between 2;8…

  11. Scoring Guidelines.

    ERIC Educational Resources Information Center

    Tamir, Pinchas; Doran, Rodney L.

    1992-01-01

    Scoring guidelines are given for four forms of the practical skills tests of the Second International Association for the Evaluation of Educational Improvement Science Study conducted in the following countries in the 1980s: (1) Hungary; (2) Japan; (3) Korea; (4) Singapore; (5) Israel; and (6) the United States. (SLD)

  12. Mini-Mental State Exam performance of older African Americans: effect of age, gender, education, hypertension, diabetes, and the inclusion of serial 7s subtraction versus "world" backward on score.

    PubMed

    Hawkins, Keith A; Cromer, Jennifer R; Piotrowski, Andrea S; Pearlson, Godfrey D

    2011-11-01

    The Mini-Mental State Exam (MMSE) is a clinically ubiquitous yet incompletely standardized instrument. Though the test offers considerable examiner leeway, little data exist on the normative consequences of common administration variations. We sought to: (a) determine the effects of education, age, gender, health status, and a common administration variation (serial 7s subtraction vs. "world" spelled backward) on MMSE score within a minority sample, (b) provide normative data stratified on the most empirically relevant bases, and (c) briefly address item failure rates. African American citizens (N = 298) aged 55-87 living independently in the community were recruited by advertisement, community recruitment, and word of mouth. Total score with "world" spelled backward exceeded total score with serial 7s subtraction across all levels of education, replicating findings in Caucasian samples. Education is the primary source of variance on MMSE score, followed by age. In this cohort, women out-performed men when "world" spelled backward was included, but there was no gender effect when serial 7s subtraction was included in MMSE total score. To ensure an appropriate interpretation of MMSE scores, reports, whether clinical or in publications of research findings, should be explicit regarding the administration method. Stratified normative data are provided.

  13. [Scoring--criteria for operability].

    PubMed

    Oestern, H J

    1997-01-01

    For therapeutic recommendations three different kinds of scores are essential: 1. The severity scores for trauma; 2. Severity scores for mangled extremities; 3. Intensive care scores. The severity of polytrauma patients is measurable by the AIS, ISS, RTS, PTS and TRISS which is a combination of RTS, ISS, age, and mechanism of injury. For mangled extremities there are also different scores available: MESI (Mangled Extremity Syndrome Index) and MESS (Mangled Extremity Severity Score). The aim of these scores is to assist in the indication with regard to amputate or to save the extremity. These scoring indices can be used to evaluate the severity of a systemic inflammatory reaction syndrome with respect to multiple organ failure. All scores are dynamic values which are variable with improvement of therapy.

  14. Comparative accuracies of two common screening instruments for the classification of Alzheimer’s disease, mild cognitive impairment and healthy aging

    PubMed Central

    Roalf, David R.; Moberg, Paul J.; Xie, Sharon X.; Wolk, David A.; Moelter, Stephen T.; Arnold, Steven E.

    2013-01-01

    Objective To compare the utility and diagnostic accuracy of the MoCA and MMSE in the diagnosis of Alzheimer’s disease (AD) and Mild Cognitive Impairment (MCI) in a clinical cohort. Method 321 AD, 126 MCI and 140 older adults with healthy cognition (HC) were evaluated using the the MMSE, MoCA, a standardized neuropsychological battery according to the Consortium to Establish a Registry of Alzheimer’s Disease (CERAD-NB) and an informant based measure of functional impairment, the Dementia Severity Rating Scale (DSRS). Diagnostic accuracy and optimal cut-off scores were calculated for each measure, and a method for converting MoCA to MMSE scores is presented also. Results The MMSE and MoCA offer reasonably good diagnostic and classification accuracy as compared to the more detailed CERAD-NB; however, as a brief cognitive screening measure the MoCA was more sensitive and had higher classification accuracy for differentiating MCI from HC. Complementing the MMSE or the MoCA with the DSRS significantly improved diagnostic accuracy. Conclusion The current results support recent data indicating that the MoCA is superior to the MMSE as a global assessment tool, particularly in discerning earlier stages of cognitive decline. In addition, we found that overall diagnostic accuracy improves when the MMSE or MoCA is combined with an informant-based functional measure. Finally, we provide a reliable and easy conversion of MoCA to MMSE scores. However, the need for MCI-specific measures is still needed to increase the diagnostic specificity between AD and MCI. PMID:23260866

  15. Molecular Classification of Breast Carcinoma: From Traditional, Old-Fashioned Way to A New Age, and A New Way

    PubMed Central

    Eliyatkın, Nuket; Yalçın, Evrim; Zengel, Baha; Aktaş, Safiye; Vardar, Enver

    2015-01-01

    Breast carcinoma comprises a group of diseases with specific clinical, histopathologic and molecular properties. Traditional classification use morphology to divide tumors into separate categories with differing behavior and prognosis. However, there are limitations of traditional classification systems, and new molecular methods are expected to improve classification systems. Molecular subtypes of breast carcinomas have been characterized in the last 11 years, and have been studied extensively. Much of the information accumulated in recent years, and molecular taxonomy seems to be still developing and undergoing change. The main question is whether new molecular techniques such as gene expression profiling will be accepted as gold standard in determining breast cancer subtypes, and whether molecular classification is useful in specific subtypes of breast cancer as it is in ductal carcinoma (nonspecific type). In addition, critical review of the literature reveals major problems such as poor definition, lack of reproducibility and lack of quality control in current molecular techniques and classifications. Therefore, current molecular approaches are not yet used in routine clinical practice and treatment guidance since they are immature and can even lead to incorrect assessment.

  16. Understanding the Idea of Chemical Elements and Their Periodic Classification in Spanish Students Aged 16-18 Years

    ERIC Educational Resources Information Center

    Franco-Mariscal, Antonio-Joaquín; Oliva-Martínez, José María; Almoraima Gil, M. L.

    2016-01-01

    The work reported here involved a comparative study regarding the understanding that high school students (16-18 years) have of the concept of chemical elements and their periodic classification. More specifically, the level of knowledge on this topic was compared before and after the completion of baccalaureate studies in a sample of Spanish…

  17. Clinical utility of demographically corrected WAIS-III subtest scores after traumatic brain injury.

    PubMed

    Blake, Treena M; Fichtenberg, Norman L; Abeare, Christopher A

    2009-04-01

    The present study explored the diagnostic accuracy of demographically corrected norms for the Wechsler Adult Intelligence Scale-Third Edition (WAIS-III) in a diverse sample of 57 patients with traumatic brain injury (TBI) and a matched group of 61 pseudoneurologic controls. The use of demographic corrections did not significantly improve the sensitivity or specificity of WAIS-III subtest scores to TBI relative to traditional age-corrected norms. Overall classification rates were quite good for both normative systems. Although the demographic corrections attenuate ethnicity differences on the subtest scores of TBI patients, the updated norms are no more or less beneficial than traditional age-corrected norms for neurodiagnostic purposes.

  18. Walk Score®

    PubMed Central

    Brown, Scott C.; Pantin, Hilda; Lombard, Joanna; Toro, Matthew; Huang, Shi; Plater-Zyberk, Elizabeth; Perrino, Tatiana; Perez-Gomez, Gianna; Barrera-Allen, Lloyd; Szapocznik, José

    2013-01-01

    Background Walk Score® is a nationally and publicly available metric of neighborhood walkability based on proximity to amenities (e.g., retail, food, schools). However, few studies have examined the relationship of Walk Score to walking behavior. Purpose To examine the relationship of Walk Score to walking behavior in a sample of recent Cuban immigrants, who overwhelmingly report little choice in their selection of neighborhood built environments when they arrive in the U.S. Methods Participants were 391 recent healthy Cuban immigrants (M age=37.1 years) recruited within 90 days of arrival in the U.S., and assessed within 4 months of arrival (M=41.0 days in the U.S.), who resided throughout Miami-Dade County FL. Data on participants’ addresses, walking and sociodemographics were collected prospectively from 2008 to 2010. Analyses conducted in 2011 examined the relationship of Walk Score for each participant’s residential address in the U.S. to purposive walking, controlling for age, gender, education, BMI, days in the U.S., and habitual physical activity level in Cuba. Results For each 10-point increase in Walk Score, adjusting for covariates, there was a significant 19% increase in the likelihood of purposive walking, a 26% increase in the likelihood of meeting physical activity recommendations by walking, and 27% more minutes walked in the previous week. Conclusions Results suggest that Walk Score is associated with walking in a sample of recent immigrants who initially had little choice in where they lived in the U.S. These results support existing guidelines indicating that mixed land use (such as parks and restaurants near homes) should be included when designing walkable communities. PMID:23867028

  19. Age and Modified European LeukemiaNet Classification to Predict Transplant Outcomes: An Integrated Approach for Acute Myelogenous Leukemia Patients Undergoing Allogeneic Stem Cell Transplantation.

    PubMed

    Oran, Betül; Jimenez, Antonio M; De Lima, Marcos; Popat, Uday R; Bassett, Roland; Andersson, Borje S; Borthakur, Gautam; Bashir, Qaiser; Chen, Julianne; Ciurea, Stefan O; Jabbour, Elias; Cortes, Jorge; Kebriaei, Partow; Khouri, Issa F; Qazilbash, Muzaffar H; Ravandi, Farhad; Rondon, Gabriela; Lu, Xinyan; Shpall, Elizabeth J; Champlin, Richard E

    2015-08-01

    We evaluated the prognostic significance of a modified European LeukemiaNet (ELN) classification for patients with acute myelogenous leukemia (AML) undergoing hematopoietic stem cell transplantation (HSCT) while in first complete remission (CR1). We analyzed 464 AML patients with matched related (n = 211, 45.5%), matched unrelated (n = 176, 37.9%), and mismatched donors (n = 77, 16.6%). Patients were classified into 4 modified ELN risk groups (favorable, intermediate-I, intermediate-II, and adverse) separately for 354 patients age < 60 years and 110 patients age ≥ 60 years. In this modified version of ELN classification, patients with normal cytogenetic were classified by FLT3-ITD mutational status: favorable risk if FLT3-ITDwild and intermediate-I if FLT3-ITDmut. The best outcomes occurred in the ELN favorable and intermediate-II groups in younger AML patients and in the favorable and intermediate-I groups in older AML patients. Older AML patients had worse transplant outcomes within each modified ELN risk group except intermediate-I when compared with younger patients; leukemia-free survival at 3 years was 67.8% versus 49.8% in favorable, 53.4% versus 50.7% in intermediate-I, 65.7% versus 20.2% in intermediate-II, and 44.6% versus 23.8% in adverse group younger and older patients, respectively. Among lesion-specific abnormalities, del5q/-5 and abnl(17p) had the worse transplant outcomes, with 3-year leukemia-free survival rates of 18.4% and 20% in younger CR1 patients. In conclusion, the modified ELN prognostic classification developed for chemotherapy outcomes also identifies prognostic groups for HSCT, which is useful for a selection of patients for post-transplant strategies to improve outcomes.

  20. GENDER, WEIGHT, AND AGE EFFECTS ON PREVALENCE OF CAUDAL ABERRANT NASAL TURBINATES IN CLINICALLY HEALTHY ENGLISH BULLDOGS: A COMPUTED TOMOGRAPHIC STUDY AND CLASSIFICATION.

    PubMed

    Vilaplana Grosso, Federico; Haar, Gert Ter; Boroffka, Susanne A E B

    2015-01-01

    English Bulldogs have been reported to demonstrate abnormal growth and development of the nasal turbinates, which contribute to an increase in airway resistance and hence clinical signs of brachycephalic airway syndrome. The purpose of this prospective, cross-sectional study was to assess the prevalence and severity of caudal aberrant turbinate protrusion via CT studies of English Bulldogs with, according to the owners, none or minimal clinical signs of brachycephalic airway syndrome. An additional objective was to propose a classification scheme for describing the degree of caudal aberrant turbinate protrusion in English Bulldogs and to apply this scheme in assessing the effect of gender, weight, and age on prevalence and severity of turbinate protrusion. The nasal cavities of 40 clinically healthy English Bulldogs were examined. The prevalence of caudal aberrant turbinates in this group was 100%. Using our proposed classification scheme, Grade 1 (minimal) was detected in 7 of 40 (17.5%), Grade 2 (mild) in 28 of 40 (70%), and Grade 3 (moderate) in 5 of 40 (12.5%) English Bulldogs. No significant effect of gender, weight, and age on degree of protrusion was found. In conclusion, this study identified minimal to moderate protrusion of caudal aberrant turbinates toward the nasopharynx in all the sampled English Bulldogs, despite the absence of clinical signs of brachycephalic airway syndrome.

  1. THE PANC 3 SCORE PREDICTING SEVERITY OF ACUTE PANCREATITIS

    PubMed Central

    BEDUSCHI, Murilo Gamba; MELLO, André Luiz Parizi; VON-MÜHLEN, Bruno; FRANZON, Orli

    2016-01-01

    Background : About 20% of cases of acute pancreatitis progress to a severe form, leading to high mortality rates. Several studies suggested methods to identify patients that will progress more severely. However, most studies present problems when used on daily practice. Objective : To assess the efficacy of the PANC 3 score to predict acute pancreatitis severity and its relation to clinical outcome. Methods : Acute pancreatitis patients were assessed as to sex, age, body mass index (BMI), etiology of pancreatitis, intensive care need, length of stay, length of stay in intensive care unit and mortality. The PANC 3 score was determined within the first 24 hours after diagnosis and compared to acute pancreatitis grade of the Revised Atlanta classification. Results : Out of 64 patients diagnosed with acute pancreatitis, 58 met the inclusion criteria. The PANC 3 score was positive in five cases (8.6%), pancreatitis progressed to a severe form in 10 cases (17.2%) and five patients (8.6%) died. Patients with a positive score and severe pancreatitis required intensive care more often, and stayed for a longer period in intensive care units. The PANC 3 score showed sensitivity of 50%, specificity of 100%, accuracy of 91.4%, positive predictive value of 100% and negative predictive value of 90.6% in prediction of severe acute pancreatitis. Conclusion : The PANC 3 score is useful to assess acute pancreatitis because it is easy and quick to use, has high specificity, high accuracy and high predictive value in prediction of severe acute pancreatitis. PMID:27120730

  2. A Nonparametric Approach to Estimate Classification Accuracy and Consistency

    ERIC Educational Resources Information Center

    Lathrop, Quinn N.; Cheng, Ying

    2014-01-01

    When cut scores for classifications occur on the total score scale, popular methods for estimating classification accuracy (CA) and classification consistency (CC) require assumptions about a parametric form of the test scores or about a parametric response model, such as item response theory (IRT). This article develops an approach to estimate CA…

  3. [Scores and stages in pneumology].

    PubMed

    Kuhn, Max

    2013-10-01

    Useful scales and classifications for patients with pulmonary diseases are discussed. The modified Medical Research Council breathlessness scale (mMRC) is a measure of disability in lung patients. The GOLD classifications, the COPD-Assessment Test (CAT) and the BODE Index are important to classify the severity of COPD and to measure the disability of these patients. The Geneva score is a clinical prediction rule used in determining the pre-test probability of pulmonary embolism. The Pulmonary Embolism Severity Index (PESI) is a scoring system used to predict 30 day mortality in patients with pulmonary embolism. The Epworth Sleepiness Scale is intended to measure daytime sleepiness in patients with sleep apnea syndrome. The Asthma Controll Test (ACT) determines if asthma symptoms are well controlled.

  4. Age-related commonalities and differences in the relationship between executive functions and intelligence: Analysis of the NAB executive functions module and WAIS-IV scores.

    PubMed

    Buczylowska, Dorota; Petermann, Franz

    2016-08-02

    Data from five subtests of the Executive Functions Module of the German Neuropsychological Assessment Battery (NAB) and all ten core subtests of the German Wechsler Adult Intelligence Scale - Fourth Edition (WAIS-IV) were used to examine the relationship between executive functions and intelligence in a comparison of two age groups: individuals aged 18-59 years and individuals aged 60-88 years. The NAB subtests Categories and Word Generation demonstrated a consistent correlation pattern for both age groups. However, the NAB Judgment subtest correlated more strongly with three WAIS-IV indices, the Full Scale IQ (FSIQ), and the General Ability Index (GAI) in the older adult group than in the younger group. Additionally, in the 60-88 age group, the Executive Functions Index (EFI) was more strongly correlated with the Verbal Comprehension Index (VCI) than with the Perceptual Reasoning Index (PRI). Both age groups demonstrated a strong association of the EFI with the FSIQ and the Working Memory Index (WMI). The results imply the potential diagnostic utility of the Judgment subtest and a significant relationship between executive functioning and crystallized intelligence at older ages. Furthermore, it may be concluded that there is a considerable age-independent overlap between the EFI and general intelligence, as well as between the EFI and working memory.

  5. Comparison of Program Effects: The Use of Mastery Scores.

    ERIC Educational Resources Information Center

    Yeh, Jennie P.; Moy, Raymond

    The setting of a cut-off score on a mastery test usually involves a consideration of one or more of the following elements: (1) the distribution of observed test scores; (2) the type of mastery criterion used; (3) the level of acceptable risks of mis-classification; (4) the loss of functions of mis-classifications; and (5) the distribution of true…

  6. Not only the Sugar, Early infarct sign, hyperDense middle cerebral artery, Age, Neurologic deficit score but also atrial fibrillation is predictive for symptomatic intracranial hemorrhage after intravenous recombinant tissue plasminogen activator

    PubMed Central

    Muengtaweepongsa, Sombat; Prapa-Anantachai, Pornpoj; Dharmasaroja, Pornpat A.

    2017-01-01

    Background: Symptomatic intracranial hemorrhage (sICH) is the most unwanted adverse event in patients with acute ischemic stroke who received intravenous recombinant tissue plasminogen activator (i.v. rt-PA). Many tool scores are available to predict the probability of sICH. Among those scores, the Sugar, Early infarct sign, hyperDense middle cerebral artery, Age, Neurologic deficit (SEDAN) gives the highest area under the curve-receiver operating characteristic value. Objective: We aimed to examine any factors other than the SEDAN score to predict the probability of sICH. Methods: Patients with acute ischemic stroke treated with i.v. rt-PA within 4.5 h time window from January 2010 to July 2012 were evaluated. Compiling demographic data, risk factors, and comorbidity (hypertension, diabetes mellitus, dyslipidemia, atrial fibrillation (AF), ischemic heart disease, valvular heart disease, previous stroke, gout, smoking cigarette, drinking alcoholic beverage, family history of stroke, and family history of ischemic heart disease), computed tomography scan of patients prior to treatment with rt-PA, and assessing the National Institutes of Health Stroke Scale (NIHSS) score for the purpose of calculating SEDAN score were analyzed. Results: Of 314 patients treated with i.v. rt-PA, there were 46 ICH cases (14.6%) with 14 sICH (4.4%) and 32 asymptomatic intracranial hemorrhage cases (10.2%). The rate of sICH occurrence was increased in accordance with the increase in the SEDAN score and AF. Age over 75 years, early infarction, hyperdense cerebral artery, baseline blood sugar more than 12 mmol/l, NIHSS as 10 or more, and AF were the risk factors to develop sICH after treated with rt-PA at 1.535, 2.501, 1.093, 1.276, 1.253, and 2.492 times, respectively. Conclusions: Rather than the SEDAN score, AF should be a predictor of sICH in patients with acute ischemic stroke after i.v. rt-PA treatment in Thai population. PMID:28149081

  7. Flexible and inflexible task sets: asymmetric interference when switching between emotional expression, sex, and age classification of perceived faces.

    PubMed

    Schuch, Stefanie; Werheid, Katja; Koch, Iring

    2012-01-01

    The present study investigated whether the processing characteristics of categorizing emotional facial expressions are different from those of categorizing facial age and sex information. Given that emotions change rapidly, it was hypothesized that processing facial expressions involves a more flexible task set that causes less between-task interference than the task sets involved in processing age or sex of a face. Participants switched between three tasks: categorizing a face as looking happy or angry (emotion task), young or old (age task), and male or female (sex task). Interference between tasks was measured by global interference and response interference. Both measures revealed patterns of asymmetric interference. Global between-task interference was reduced when a task was mixed with the emotion task. Response interference, as measured by congruency effects, was larger for the emotion task than for the nonemotional tasks. The results support the idea that processing emotional facial expression constitutes a more flexible task set that causes less interference (i.e., task-set "inertia") than processing the age or sex of a face.

  8. Stimulus generation, ratings, phoneme counts, and group classifications for 696 famous people by British adults over 40 years of age.

    PubMed

    Smith-Spark, James H; Moore, Viv; Valentine, Tim; Sherman, Susan M

    2006-11-01

    Matching stimuli across a range of influencing variables is no less important for studies of face recognition than it is for those of word processing. Whereas a number of corpora exist to allow experimenters to select a carefully controlled set of word stimuli, similar databases for famous faces do not exist. This article, therefore, provides researchers in the area of face recognition with a useful resource on which to base their stimulus selection. In the first phase of the investigation, British adults over 40 years of age were requested to generate the names of famous people (or celebrities) that they thought they would recognize and to write these down. The most frequently named celebrities were then rated by adults from the same age population for familiarity, distinctiveness, and age of acquisition. The result is a database of 696 famous people, with an indication of their relative eminence in the public consciousness and rated for these important variables. Phoneme counts are also provided for each famous person, together with family name frequency counts in the general population, where available. Materials and links may be accessed at www.psychonomic.org/archive.

  9. Limited potential of genetic predisposition scores to predict muscle mass and strength performance in Flemish Caucasians between 19-73 years of age.

    PubMed

    Charlier, Ruben; Caspers, Maarten; Knaeps, Sara; Mertens, Evelien; Lambrechts, Diether; Lefevre, Johan; Thomis, Martine

    2016-12-30

    Since both muscle mass and strength performance are polygenic in nature, the current study compared four Genetic Predisposition Scores (GPS) in their ability to predict these phenotypes. Data were gathered within the framework of the first generation Flemish Policy Research Centre 'Sport, Physical Activity and Health' (2002-2004). Results are based on muscle characteristics data of 565 Flemish Caucasians (19-73 yr, 365 men). Skeletal muscle mass (SMM) was determined using bioelectrical impedance. The Biodex dynamometer was used to measure isometric (PTstatic120°) and isokinetic strength (PTdynamic60° and PTdynamic240°), ballistic movement speed (S20%) and muscular endurance (Work) of the knee extensors. Genotyping was done for 153 gene variants selected based on a literature search and the expression Quantitative Trait Loci of selected genes. Four GPS were designed: a total GPS (based on the sum of all 153 variants, each favorable allele = score 1), a data-driven and weighted GPS (respectively the sum of favorable alleles of those variants with significant b-coefficients in stepwise regression (GPSdd) and the sum of these variants weighted with their respective partial r² (GPSw)) and an elastic net GPS (based on the variants that were selected by an elastic net regularization; GPSen). It was found that four different models for a GPS were able to significantly predict up to ~7% of the variance in strength performance. GPSen made the best prediction of SMM and Work. However, this was not the case for the remaining strength performance parameters, where best predictions were made by GPSdd and GPSw.

  10. The Growth of Democratic Tradition: The Age of Enlightenment. Tenth Grade Lesson. Schools of California Online Resources for Education (SCORE): Connecting California's Classrooms to the World.

    ERIC Educational Resources Information Center

    Rosa, Marie A.

    This lesson plan begins with an overview of the age of enlightenment and those ideas that influenced the founders of the United States. The lesson plan provides information sheets about five enlightenment thinkers: John Locke (1632-1704), Mary Wolstonecraft (1759-1898), Baron de Montesquieu (1689-1755), Jean Jacques Rousseau (1712-1788), and John…

  11. Aging

    PubMed Central

    Park, Dong Choon

    2013-01-01

    Aging is initiated based on genetic and environmental factors that operate from the time of birth of organisms. Aging induces physiological phenomena such as reduction of cell counts, deterioration of tissue proteins, tissue atrophy, a decrease of the metabolic rate, reduction of body fluids, and calcium metabolism abnormalities, with final progression onto pathological aging. Despite the efforts from many researchers, the progression and the mechanisms of aging are not clearly understood yet. Therefore, the authors would like to introduce several theories which have gained attentions among the published theories up to date; genetic program theory, wear-and-tear theory, telomere theory, endocrine theory, DNA damage hypothesis, error catastrophe theory, the rate of living theory, mitochondrial theory, and free radical theory. Although there have been many studies that have tried to prevent aging and prolong life, here we introduce a couple of theories which have been proven more or less; food, exercise, and diet restriction. PMID:24653904

  12. Test facilities for SCORE-D

    NASA Astrophysics Data System (ADS)

    Greuel, Dirk; Deeken, Jan; Suslov, Dmitry; Schäfer, Klaus; Schlechtriem, Stefan

    2013-06-01

    The LOX/LH2 Staged Combustion Rocket Engine Demonstrator (SCORE-D) is part of ESA's Future Launcher Preparatory Program (FLPP). SCORE-D serves as a technology demonstrator in perspective of the development of the High Thrust Engine (HTE), which is designated as a candidate for the main stage engine of the Next Generation Launcher (NGL). To develop and test the SCORE-D engine, ESA investigates configurations of the test benches P3.2 and P5 at DLR test site in Lampoldshausen. For the SCORE-D Hot Combustion Devices (HCD) development, i.e. Pre-burner (PB) and thrust chamber assembly (TCA), the P3.2 test facility has to be modified for further usage. Recently, the first steps in this endeavor have been made with the evaluation of the necessary modifications to the facility. To accommodate the SCORE-D engine, it is foreseen to modify the P5 test facility in the coming years. In the last year, DLR has started the design phase for these modifications. In preparatory test programs at the P8 test facility, Astrium has conducted sub-scale hot combustion devices tests. While Astrium designed and manufactured the sub-scale assembly of the pre-burner and the main combustion chamber (MCC) for SCORE-D, DLR operated the P8 test facility.

  13. An assessment of the test–retest reliability of the New Nordic Diet score

    PubMed Central

    Bjørnarå, Helga Birgit; Hillesund, Elisabet Rudjord; Torstveit, Monica Klungland; Stea, Tonje Holte; Øverby, Nina Cecilie; Bere, Elling

    2015-01-01

    Background There is a growing interest in the New Nordic Diet (NND) as a potentially health promoting, environmentally friendly, and palatable regional diet. Also, dietary scores are gaining ground as a complementary approach for examining relations between dietary patterns and various health outcomes. A score assessing adherence to the NND has earlier been published, yet not tested for reliability. Objective To assess the test–retest reliability of the NND score in a sample of parents of toddlers, residing in Southern Norway. Design A questionnaire survey was completed on two occasions, approximately 14 days apart, by 67 parents of toddlers [85% females, mean age 34 years (SD=5.3 years)]. The NND score was constructed from 24 items and comprised 10 subscales that summarize meal pattern and intake of typical Nordic foods. Each subscale was dichotomized by the median and assigned values of ‘0’ or ‘1’. Adding the subscales yielded a score ranging from 0 to 10, which was further trichotomized. Test–retest reliability of the final NND score and individual subscales was assessed by Pearson's correlation coefficient and Spearman's rank correlation coefficient, respectively. Additionally, cross tabulation and kappa measure of agreement (k) were used to assess the test–retest agreement of classification into the NND score, and the subscales. Results Test–retest correlations of the NND score and subscales were r=0.80 (Pearson) and r=0.54–0.84 (Spearman), respectively, all p<0.001. There were 69% (k=0.52) and 67–88% (k=0.32–0.76) test–retest correct classification of the trichotomized score and the dichotomized subscales, respectively. Conclusion The NND score and the 10 subscales appear to have acceptable test–retest reliability when tested in a sample of parents of toddlers. PMID:26268707

  14. Transfer learning based classification of optical coherence tomography images with diabetic macular edema and dry age-related macular degeneration

    PubMed Central

    Karri, S. P. K.; Chakraborty, Debjani; Chatterjee, Jyotirmoy

    2017-01-01

    We present an algorithm for identifying retinal pathologies given retinal optical coherence tomography (OCT) images. Our approach fine-tunes a pre-trained convolutional neural network (CNN), GoogLeNet, to improve its prediction capability (compared to random initialization training) and identifies salient responses during prediction to understand learned filter characteristics. We considered a data set containing subjects with diabetic macular edema, or dry age-related macular degeneration, or no pathology. The fine-tuned CNN could effectively identify pathologies in comparison to classical learning. Our algorithm aims to demonstrate that models trained on non-medical images can be fine-tuned for classifying OCT images with limited training data. PMID:28270969

  15. An audit of the current U.S. Department of Agriculture frame size scoring system.

    PubMed

    Reinhardt, C D; Busby, W D

    2014-06-01

    Feedlot and carcass data from steers (n = 16,700) and heifers (n = 6,357) originating from 16 different states and fed in 17 feedlots located in southwest Iowa were used to evaluate the accuracy of the USDA frame score for predicting final BW of fed cattle. Frame score was recorded by USDA or state personnel for cattle either before leaving the state of origin or on arrival at the terminal feedlot. Mixed model procedures were used to investigate relationships between USDA frame score and measures of live performance and carcass traits. Other fixed effects included in the model included USDA muscle score, sex, age classification on feedlot entry (calf: ≤270 d of age, yearling: 271-365 d of age, and long yearling: >365 d of age), BCS on feedlot arrival, number of treatments for respiratory disease, hide color, and site of frame or muscle scoring; the interactions of sex × frame score and hide color × frame score were also included; fat thickness was included as a fixed effect (covariate) in the analysis of ADG, final BW, days on feed, LM area, marbling score, and quality grade. Random effects included in the model were year of feedlot arrival and feedlot in which cattle were fed. The system accurately projects the minimum target final BW for large frame steers and heifers; however, the final BW of the smallest medium frame steers and heifers exceeds the target minimum final BW by 35 and 40 kg, respectively. When frame score was assigned post facto based on actual final BW (adjusted to 1.27 cm fat thickness), it was determined that large frame was over-assigned by graders (62 vs. 35% for steers and 54 vs. 32% for heifers, actual score vs. postharvest score, respectively), medium frame was underassigned (37 vs. 51% and 46 vs. 58% for steers and heifers), and small frame was underassigned (0.7 vs. 15% and 0.6 vs. 10% for steers and heifers; K = 0.01, P < 0.01). Across sexes, of the cattle assigned to small, medium, or large frame score, 40, 59, and 43% actually had

  16. Quantitative Classification of Eyes with and without Intermediate Age-related Macular Degeneration Using Optical Coherence Tomography

    PubMed Central

    Farsiu, Sina; Chiu, Stephanie J.; O'Connell, Rachelle V.; Folgar, Francisco A.; Yuan, Eric; Izatt, Joseph A.; Toth, Cynthia A.

    2013-01-01

    Objective To define quantitative indicators for the presence of intermediate age-related macular degeneration (AMD) via spectral-domain optical coherence tomography (SD-OCT) imaging of older adults. Design Evaluation of diagnostic test and technology. Participants and Controls One eye from 115 elderly subjects without AMD and 269 subjects with intermediate AMD from the Age-Related Eye Disease Study 2 (AREDS2) Ancillary SD-OCT Study. Methods We semiautomatically delineated the retinal pigment epithelium (RPE) and RPE drusen complex (RPEDC, the axial distance from the apex of the drusen and RPE layer to Bruch's membrane) and total retina (TR, the axial distance between the inner limiting and Bruch's membranes) boundaries. We registered and averaged the thickness maps from control subjects to generate a map of “normal” non-AMD thickness. We considered RPEDC thicknesses larger or smaller than 3 standard deviations from the mean as abnormal, indicating drusen or geographic atrophy (GA), respectively. We measured TR volumes, RPEDC volumes, and abnormal RPEDC thickening and thinning volumes for each subject. By using different combinations of these 4 disease indicators, we designed 5 automated classifiers for the presence of AMD on the basis of the generalized linear model regression framework. We trained and evaluated the performance of these classifiers using the leave-one-out method. Main Outcome Measures The range and topographic distribution of the RPEDC and TR thicknesses in a 5-mm diameter cylinder centered at the fovea. Results The most efficient method for separating AMD and control eyes required all 4 disease indicators. The area under the curve (AUC) of the receiver operating characteristic (ROC) for this classifier was >0.99. Overall neurosensory retinal thickening in eyes with AMD versus control eyes in our study contrasts with previous smaller studies. Conclusions We identified and validated efficient biometrics to distinguish AMD from normal eyes by

  17. Creation of an age-adjusted, dual-energy x-ray absorptiometry-derived trabecular bone score curve for the lumbar spine in non-Hispanic US White women.

    PubMed

    Simonelli, Christine; Leib, Edward; Mossman, Ned; Winzenrieth, Renaud; Hans, Didier; McClung, Michael

    2014-01-01

    The trabecular bone score (TBS, Med-Imaps, Pessac, France) is an index of bone microarchitecture texture extracted from anteroposterior dual-energy X-ray absorptiometry images of the spine. Previous studies have documented the ability of TBS of the spine to differentiate between women with and without fractures among age- and areal bone mineral density (aBMD)-matched controls, as well as to predict future fractures. In this cross-sectional analysis of data collected from 3 geographically dispersed facilities in the United States, we investigated age-related changes in the microarchitecture of lumbar vertebrae as assessed by TBS in a cohort of non-Hispanic US white American women. All subjects were 30 yr of age and older and had an L1-L4aBMDZ-score within ±2 SD of the population mean. Individuals were excluded if they had fractures, were on any osteoporosis treatment, or had any illness that would be expected to impact bone metabolism. All data were extracted from Prodigy dual-energy X-ray absorptiometry devices (GE-Lunar, Madison, WI). Cross-calibrations between the 3 participating centers were performed for TBS and aBMD. aBMD and TBS were evaluated for spine L1-L4 but also for all other possible vertebral combinations. To validate the cohort, a comparison between the aBMD normative data of our cohort and US non-Hispanic white Lunar data provided by the manufacturer was performed. A database of 619 non-Hispanic US white women, ages 30-90 yr, was created. aBMD normative data obtained from this cohort were not statistically different from the non-Hispanic US white Lunar normative data provided by the manufacturer (p = 0.30). This outcome thereby indirectly validates our cohort. TBS values at L1-L4 were weakly inversely correlated with body mass index (r = -0.17) and weight (r = -0.16) and not correlated with height. TBS values for all lumbar vertebral combinations decreased significantly with age. There was a linear decrease of 16.0% (-2.47 T-score) in TBS at

  18. The Thoracolumbar AOSpine Injury Score

    PubMed Central

    Kepler, Christopher K.; Vaccaro, Alexander R.; Schroeder, Gregory D.; Koerner, John D.; Vialle, Luiz R.; Aarabi, Bizhan; Rajasekaran, Shanmuganathan; Bellabarba, Carlo; Chapman, Jens R.; Kandziora, Frank; Schnake, Klaus J.; Dvorak, Marcel F.; Reinhold, Max; Oner, F. Cumhur

    2015-01-01

    Study Design Survey of 100 worldwide spine surgeons. Objective To develop a spine injury score for the AOSpine Thoracolumbar Spine Injury Classification System. Methods Each respondent was asked to numerically grade the severity of each variable of the AOSpine Thoracolumbar Spine Injury Classification System. Using the results, as well as limited input from the AOSpine Trauma Knowledge Forum, the Thoracolumbar AOSpine Injury Score was developed. Results Beginning with 1 point for A1, groups A, B, and C were consecutively awarded an additional point (A1, 1 point; A2, 2 points; A3, 3 points); however, because of a significant increase in the severity between A3 and A4 and because the severity of A4 and B1 was similar, both A4 and B1 were awarded 5 points. An uneven stepwise increase in severity moving from N0 to N4, with a substantial increase in severity between N2 (nerve root injury with radicular symptoms) and N3 (incomplete spinal cord injury) injuries, was identified. Hence, each grade of neurologic injury was progressively given an additional point starting with 0 points for N0, and the substantial difference in severity between N2 and N3 injuries was recognized by elevating N3 to 4 points. Finally, 1 point was awarded to the M1 modifier (indeterminate posterolateral ligamentous complex injury). Conclusion The Thoracolumbar AOSpine Injury Score is an easy-to-use, data-driven metric that will allow for the development of a surgical algorithm to accompany the AOSpine Thoracolumbar Spine Injury Classification System. PMID:27190734

  19. The Thoracolumbar AOSpine Injury Score.

    PubMed

    Kepler, Christopher K; Vaccaro, Alexander R; Schroeder, Gregory D; Koerner, John D; Vialle, Luiz R; Aarabi, Bizhan; Rajasekaran, Shanmuganathan; Bellabarba, Carlo; Chapman, Jens R; Kandziora, Frank; Schnake, Klaus J; Dvorak, Marcel F; Reinhold, Max; Oner, F Cumhur

    2016-06-01

    Study Design Survey of 100 worldwide spine surgeons. Objective To develop a spine injury score for the AOSpine Thoracolumbar Spine Injury Classification System. Methods Each respondent was asked to numerically grade the severity of each variable of the AOSpine Thoracolumbar Spine Injury Classification System. Using the results, as well as limited input from the AOSpine Trauma Knowledge Forum, the Thoracolumbar AOSpine Injury Score was developed. Results Beginning with 1 point for A1, groups A, B, and C were consecutively awarded an additional point (A1, 1 point; A2, 2 points; A3, 3 points); however, because of a significant increase in the severity between A3 and A4 and because the severity of A4 and B1 was similar, both A4 and B1 were awarded 5 points. An uneven stepwise increase in severity moving from N0 to N4, with a substantial increase in severity between N2 (nerve root injury with radicular symptoms) and N3 (incomplete spinal cord injury) injuries, was identified. Hence, each grade of neurologic injury was progressively given an additional point starting with 0 points for N0, and the substantial difference in severity between N2 and N3 injuries was recognized by elevating N3 to 4 points. Finally, 1 point was awarded to the M1 modifier (indeterminate posterolateral ligamentous complex injury). Conclusion The Thoracolumbar AOSpine Injury Score is an easy-to-use, data-driven metric that will allow for the development of a surgical algorithm to accompany the AOSpine Thoracolumbar Spine Injury Classification System.

  20. Epidemiological burden estimates for pathologies with a nonconstant risk: an application to HCV in Italy according to age, Metavir score, and genotype

    PubMed Central

    Mancusi, Rossella Letizia; Andreoni, Massimo; d’Angela, Daniela; Sarrecchia, Cesare; Spandonaro, Federico

    2016-01-01

    Abstract Between western European countries, the hepatitis C virus (HCV) endemic is highest in Italy. The main objective of this paper is to estimate the endemic diffusion of hepatitis C at the national level and by geographical area, with an extrapolation at the regional level and by uniform cohorts of subjects (by sex and year of birth). The secondary objective is a stratification by gravity of the estimated statistical figures to provide an overview of possible targets of the new anti-HCV treatments. PubMed and the Cochrane Library were searched for relevant Italian populations studies regarding HCV prevalence. Random and fixed effect models were used for pooling data. To develop the epidemiological model, a meta-analysis of studies of Italian populations and the explicit consideration of the changes in the etiology of the disease in different cohorts (by year of birth) of population and the impact of effective treatments that have been introduced since the 1990s. A Markovian transition model, which is based on the distribution of HCV+ and HCV Ribonucleic Acid (RNA)+ subjects, provides a plausible assessment of the Italian situation. The Meta-analysis of Observational Studies in Epidemiology recommendations/statements were followed. In 2014, 1569,215 HCV+ subjects (95% credible interval [CrI]: 1202,630–2021,261) were estimated in Italy, with a 2.58% prevalence (95% CrI: 1.98%–3.33%). A total of 828,884 HCV RNA+ subjects (95% CrI: 615,892–1081,123), which is equal to a 1.36% prevalence (95% CrI: 1.01%–1.78%), is higher in southern Italy and the islands (1.9%) than in central–northern Italy (1.1%). The predominance of adult and elderly subjects, with an old or very old infection, inevitably entails a significant number of HCV RNA+ subjects in the advanced stages of the illness. According to our estimates, approximately 400,000 subjects have cirrhosis, decompensated cirrhosis, and hepatocarcinoma, with a median age of 70 years. The model aims to support

  1. Stage IV and age over 45 years are the only prognostic factors of the International Prognostic Score for the outcome of advanced Hodgkin lymphoma in the Spanish Hodgkin Lymphoma Study Group series.

    PubMed

    Guisado-Vasco, Pablo; Arranz-Saez, Reyes; Canales, Miguel; Cánovas, Araceli; Garcia-Laraña, José; García-Sanz, Ramón; Lopez, Andrés; López, José Luis; Llanos, Marta; Moraleda, José Maria; Rodriguez, José; Rayón, Consuelo; Sabin, Pilar; Salar, Antonio; Marín-Niebla, Ana; Morente, Manuel; Sánchez-Godoy, Pedro; Tomás, José Francisco; Muriel, Alfonso; Abraira, Victor; Piris, Miguel A; Garcia, Juán F; Montalban, Carlos

    2012-05-01

    The International Prognostic Score (IPS) is the most widely used system to date for identifying risk groups for the outcome of patients with advanced Hodgkin lymphoma, although important limitations have been recognized. We analyzed the value of the IPS in a series of 311 patients with advanced classical Hodgkin lymphoma (cHL) (Ann Arbor stage III, IV or stage II with B symptoms and/or bulky masses) treated with first-line chemotherapy including adriamycin (adriamycin, bleomycin, vinblastine, dacarbazine [ABVD] or equivalent variants). In univariate and multivariate analyses, stage IV disease and age ≥ 45 years were the only factors with independent predictive significance for overall survival (OS) (p = 0.002 and p < 0.001, respectively). Stage IV was still significant for freedom from progression (FFP) (p = 0.001) and age ≥ 45 years was borderline significant (p = 0.058). IPS separates prognostic groups, as in the original publication, but this is mainly due to the high statistical significance of stage IV and age ≥ 45 years. Moreover, the combination of these two factors enables a simpler system to be constructed that separates groups with different FFP and OS. In conclusion, in our series, stage IV and age ≥ 45 years are the key prognostic factors for the outcome of advanced cHL.

  2. Volumetric image classification using homogeneous decomposition and dictionary learning: A study using retinal optical coherence tomography for detecting age-related macular degeneration.

    PubMed

    Albarrak, Abdulrahman; Coenen, Frans; Zheng, Yalin

    2017-01-01

    Three-dimensional (3D) (volumetric) diagnostic imaging techniques are indispensable with respect to the diagnosis and management of many medical conditions. However there is a lack of automated diagnosis techniques to facilitate such 3D image analysis (although some support tools do exist). This paper proposes a novel framework for volumetric medical image classification founded on homogeneous decomposition and dictionary learning. In the proposed framework each image (volume) is recursively decomposed until homogeneous regions are arrived at. Each region is represented using a Histogram of Oriented Gradients (HOG) which is transformed into a set of feature vectors. The Gaussian Mixture Model (GMM) is then used to generate a "dictionary" and the Improved Fisher Kernel (IFK) approach is used to encode feature vectors so as to generate a single feature vector for each volume, which can then be fed into a classifier generator. The principal advantage offered by the framework is that it does not require the detection (segmentation) of specific objects within the input data. The nature of the framework is fully described. A wide range of experiments was conducted with which to analyse the operation of the proposed framework and these are also reported fully in the paper. Although the proposed approach is generally applicable to 3D volumetric images, the focus for the work is 3D retinal Optical Coherence Tomography (OCT) images in the context of the diagnosis of Age-related Macular Degeneration (AMD). The results indicate that excellent diagnostic predictions can be produced using the proposed framework.

  3. Predicting Parkinson disease in the community using a nonmotor risk score.

    PubMed

    Darweesh, Sirwan K L; Koudstaal, Peter J; Stricker, Bruno H; Hofman, Albert; Steyerberg, Ewout W; Ikram, M Arfan

    2016-07-01

    At present, there are no validated methods to identify persons who are at increased risk for Parkinson Disease (PD) from the general population. We investigated the clinical usefulness of a recently proposed non-motor risk score for PD (the PREDICT-PD risk score) in the population-based Rotterdam Study. At baseline (1990), we constructed a weighted risk score based on 10 early nonmotor features and risk factors in 6492 persons free of parkinsonism and dementia. We followed these persons for up to 20 years (median 16.1 years) for the onset of PD until 2011. We studied the association between the PREDICT-PD risk score and incident PD using competing risk regression models with adjustment for age and sex. In addition, we assessed whether the PREDICT-PD risk score improved discrimination (C-statistics) and risk classification (net reclassification improvement) of incident PD beyond age and sex. During follow-up, 110 persons were diagnosed with incident PD. The PREDICT-PD risk score was associated with incident PD (hazard ratio [HR] = 1.30; 95 % confidence interval [1.06; 1.59]) and yielded a small, non-significant improvement in overall discrimination (ΔC-statistic = 0.018[-0.005; 0.041]) and risk classification (net reclassification improvement = 0.172[-0.017; 0.360]) of incident PD. In conclusion, the PREDICT-PD risk score only slightly improves long-term prediction of PD in the community.

  4. Sleep scoring using artificial neural networks.

    PubMed

    Ronzhina, Marina; Janoušek, Oto; Kolářová, Jana; Nováková, Marie; Honzík, Petr; Provazník, Ivo

    2012-06-01

    Rapid development of computer technologies leads to the intensive automation of many different processes traditionally performed by human experts. One of the spheres characterized by the introduction of new high intelligence technologies substituting analysis performed by humans is sleep scoring. This refers to the classification task and can be solved - next to other classification methods - by use of artificial neural networks (ANN). ANNs are parallel adaptive systems suitable for solving of non-linear problems. Using ANN for automatic sleep scoring is especially promising because of new ANN learning algorithms allowing faster classification without decreasing the performance. Both appropriate preparation of training data as well as selection of the ANN model make it possible to perform effective and correct recognizing of relevant sleep stages. Such an approach is highly topical, taking into consideration the fact that there is no automatic scorer utilizing ANN technology available at present.

  5. Rates of computational errors for scoring the SIRS primary scales.

    PubMed

    Tyner, Elizabeth A; Frederick, Richard I

    2013-12-01

    We entered item scores for the Structured Interview of Reported Symptoms (SIRS; Rogers, Bagby, & Dickens, 1991) into a spreadsheet and compared computed scores with those hand-tallied by examiners. We found that about 35% of the tests had at least 1 scoring error. Of SIRS scale scores tallied by examiners, about 8% were incorrectly summed. When the errors were corrected, only 1 SIRS classification was reclassified in the fourfold scheme used by the SIRS. We note that mistallied scores on psychological tests are common, and we review some strategies for reducing scale score errors on the SIRS.

  6. Proposal of a Mediterranean Diet Serving Score

    PubMed Central

    Monteagudo, Celia; Mariscal-Arcas, Miguel; Rivas, Ana; Lorenzo-Tovar, María Luisa; Tur, Josep A.; Olea-Serrano, Fátima

    2015-01-01

    Background and Aims Numerous studies have demonstrated a relationship between Mediterranean Diet (MD) adherence and the prevention of cardiovascular diseases, cancer, and diabetes, etc. The study aim was to validate a novel instrument to measure MD adherence based on the consumption of food servings and food groups, and apply it in a female population from southern Spain and determining influential factors. Methods and Results The study included 1,155 women aged 12-83 yrs, classified as adolescents, adults, and over-60-yr-olds. All completed a validated semi-quantitative food frequency questionnaire (FFQ). The Mediterranean Dietary Serving Score (MDSS) is based on the latest update of the Mediterranean Diet Pyramid, using the recommended consumption frequency of foods and food groups; the MDSS ranges from 0 to 24. The discriminative power or correct subject classification capacity of the MDSS was analyzed with the Receiver Operating Characteristic (ROC) curve, using the MDS as reference method. Predictive factors for higher MDSS adherence were determined with a logistic regression model, adjusting for age. According to ROC curve analysis, MDSS evidenced a significant discriminative capacity between adherents and non-adherents to the MD pattern (optimal cutoff point=13.50; sensitivity=74%; specificity=48%). The mean MDSS was 12.45 (2.69) and was significantly higher with older age (p<0.001). Logistic regression analysis showed highest MD adherence by over 60-year-olds with low BMI and no habit of eating between meals. Conclusions The MDSS is an updated, easy, valid, and accurate instrument to assess MD adherence based on the consumption of foods and food groups per meal, day, and week. It may be useful in future nutritional education programs to prevent the early onset of chronic non-transmittable diseases in younger populations. PMID:26035442

  7. The Apgar Score.

    PubMed

    2015-10-01

    The Apgar score provides an accepted and convenient method for reporting the status of the newborn infant immediately after birth and the response to resuscitation if needed. The Apgar score alone cannot be considered as evidence of, or a consequence of, asphyxia; does not predict individual neonatal mortality or neurologic outcome; and should not be used for that purpose. An Apgar score assigned during resuscitation is not equivalent to a score assigned to a spontaneously breathing infant. The American Academy of Pediatrics and the American College of Obstetricians and Gynecologists encourage use of an expanded Apgar score reporting form that accounts for concurrent resuscitative interventions.

  8. Body mass index, airflow obstruction and dyspnea and body mass index, airflow obstruction, dyspnea scores, age and pack years-predictive properties of new multidimensional prognostic indices of chronic obstructive pulmonary disease in primary care

    PubMed Central

    Ansari, Khalid; Keaney, Niall; Kay, Andrea; Price, Monica; Munby, Joan; Billett, Andrew; Haggerty, Sharon; Taylor, Ian K.; Al Otaibi, Hajed

    2016-01-01

    BACKGROUND: The assessment of the severity of chronic obstructive pulmonary disease (COPD) should involve a multidimensional approach that is now clearly shown to be better than using spirometric impairment alone. The aim of this study is to validate and compare novel tools without an exercise test and to extend prognostic value to patients with less severe impairment of Forced expiratory volume 1 s. METHODS: A prospective, observational, primary care cohort study identified 458 eligible patients recruited from the primary care clinics in the northeast of England in 1999–2002. A new prognostic indicator – body mass index, airflow obstruction and dyspnea (BOD) together with the conventional prognostic indices age, dyspnea and airflow obstruction (ADO), global initiative for chronic obstructive lung disease (GOLD) and new GOLD matrix were studied. We also sought to improve prognostication of BOD by adding age (A) and smoking history as pack years (S) to validate BODS (BOD with smoking history) and BODAS (BOD with smoking history and age) as prognostic tools and the predictive power of each was analyzed. RESULTS: The survival of the 458 patients was assessed after a median of 10 years when the mortality was found to be 33.6%. The novel indices BOD, BODS, and BODAS were significantly predictive for all-cause mortality in our cohort. Furthermore with ROC analysis the C statistics for BOD, BODS, and BODAS were 0.62, 0.66, and 0.72, respectively (P < 0.001 for each), whereas ADO and GOLD stages had a C statistic of 0.70 (P < 0.001) and 0.56 (P < 0.02), respectively. GOLD Matrix was not significant in this cohort. CONCLUSION: BOD, BODS, and BODAS scores are validated predictors of all-cause mortality in a primary care cohort with COPD. PMID:27803752

  9. Developmental Sentence Scoring for Japanese (DSSJ)

    PubMed Central

    Miyata, Susanne; MacWhinney, Brian; Otomo, Kiyoshi; Sirai, Hidetosi; Oshima-Takane, Yuriko; Hirakawa, Makiko; Shirai, Yasuhiro; Sugiura, Masatoshi; Itoh, Keiko

    2014-01-01

    This paper reports on the development and use of the Developmental Sentence Scoring for Japanese (DSSJ), a new morpho-syntactical measure for Japanese constructed after the model of the English Developmental Sentence Scoring model (Lee, 1974). Using this measure, we calculated DSSJ scores for 84 children divided into six age groups between 2;8 and 5;2 on the basis of 100-sentence samples collected from free-play child-adult conversations. The analysis showed a high correlation of the DSSJ overall score with the Mean Length of Utterance. The analysis of the DSSJ subarea scores revealed large variations between these subarea scores for children with similar overall DSSJ scores. When investigating the high-scoring children (over 1 SD over group average), most children scored high in three to five subareas, but the combination of scores for these subareas varied from child to child. It is concluded that DSSJ is a valuable tool especially for the language acquisition research. The overall DSSJ score reliably reflects the overall morpho-syntactic development of Japanese children, and the subarea scores provide specific information on individual acquisition patterns. PMID:25414535

  10. Willems II. Non-gender-specific dental maturity scores.

    PubMed

    Willems, G; Thevissen, P W; Belmans, A; Liversidge, H M

    2010-09-10

    Demirjian's dental maturity scoring system has been adapted for a Belgian Caucasian population for males and females. The purpose of this study was to adapt Demirjian's dental maturity scoring system from a Belgian Caucasian population to provide non-gender-specific scores. We selected 2116 orthopantomograms of 1029 boys and 1087 girls aged 3-16 years. A weighted ANOVA was performed in order to adapt the scoring system for this Belgian population. A second test sample of 273 orthopantomograms of individuals with immature dentitions aged 3-16 years was used to evaluate the accuracy of the original method, gender-specific scores and non-gender-specific scores of the adapted method. Mean/median difference between dental age and real age was calculated as well as other measures of accuracy. The adapted scoring system resulted in new age scores expressed in years and in a higher accuracy compared to the original method in Belgian Caucasians.

  11. Recategorized WISC-R Scores of Juvenile Delinquents.

    ERIC Educational Resources Information Center

    Groff, Martin G.; Hubble, Larry M.

    1981-01-01

    Wechsler Intelligence Scale for Children-Revised scores of a male delinquent sample were grouped by A. Bannatyne's classification of Wechsler's subtests, and these recategorized scores were compared with results of a previous study of learning disabled children. Findings failed to support a theory that learning disabled youth possess a unique…

  12. siMS Score: Simple Method for Quantifying Metabolic Syndrome

    PubMed Central

    Soldatovic, Ivan; Vukovic, Rade; Culafic, Djordje; Gajic, Milan; Dimitrijevic-Sreckovic, Vesna

    2016-01-01

    Objective To evaluate siMS score and siMS risk score, novel continuous metabolic syndrome scores as methods for quantification of metabolic status and risk. Materials and Methods Developed siMS score was calculated using formula: siMS score = 2*Waist/Height + Gly/5.6 + Tg/1.7 + TAsystolic/130—HDL/1.02 or 1.28 (for male or female subjects, respectively). siMS risk score was calculated using formula: siMS risk score = siMS score * age/45 or 50 (for male or female subjects, respectively) * family history of cardio/cerebro-vascular events (event = 1.2, no event = 1). A sample of 528 obese and non-obese participants was used to validate siMS score and siMS risk score. Scores calculated as sum of z-scores (each component of metabolic syndrome regressed with age and gender) and sum of scores derived from principal component analysis (PCA) were used for evaluation of siMS score. Variants were made by replacing glucose with HOMA in calculations. Framingham score was used for evaluation of siMS risk score. Results Correlation between siMS score with sum of z-scores and weighted sum of factors of PCA was high (r = 0.866 and r = 0.822, respectively). Correlation between siMS risk score and log transformed Framingham score was medium to high for age groups 18+,30+ and 35+ (0.835, 0.707 and 0.667, respectively). Conclusions siMS score and siMS risk score showed high correlation with more complex scores. Demonstrated accuracy together with superior simplicity and the ability to evaluate and follow-up individual patients makes siMS and siMS risk scores very convenient for use in clinical practice and research as well. PMID:26745635

  13. Automated sleep scoring and sleep apnea detection in children

    NASA Astrophysics Data System (ADS)

    Baraglia, David P.; Berryman, Matthew J.; Coussens, Scott W.; Pamula, Yvonne; Kennedy, Declan; Martin, A. James; Abbott, Derek

    2005-12-01

    This paper investigates the automated detection of a patient's breathing rate and heart rate from their skin conductivity as well as sleep stage scoring and breathing event detection from their EEG. The software developed for these tasks is tested on data sets obtained from the sleep disorders unit at the Adelaide Women's and Children's Hospital. The sleep scoring and breathing event detection tasks used neural networks to achieve signal classification. The Fourier transform and the Higuchi fractal dimension were used to extract features for input to the neural network. The filtered skin conductivity appeared visually to bear a similarity to the breathing and heart rate signal, but a more detailed evaluation showed the relation was not consistent. Sleep stage classification was achieved with and accuracy of around 65% with some stages being accurately scored and others poorly scored. The two breathing events hypopnea and apnea were scored with varying degrees of accuracy with the highest scores being around 75% and 30%.

  14. Home Energy Score

    SciTech Connect

    2011-12-16

    The Home Energy Score allows a homeowner to compare her or his home's energy consumption to that of other homes, similar to a vehicle's mile-per-gallon rating. A home energy assessor will collect energy information during a brief home walk-through and then score that home on a scale of 1 to 10.

  15. Establishing Passing Scores.

    ERIC Educational Resources Information Center

    McLarty, Joyce R.

    The problem of establishing appropriate passing scores is one of evaluation rather than estimation and not amenable to exact solution. It must therefore be approached by (1) identifying criteria for judging the acceptability of the passing score, (2) collecting the data appropriate to assessing each relevant criterion, and (3) judging how well the…

  16. SCORE - A DESCRIPTION.

    ERIC Educational Resources Information Center

    SLACK, CHARLES W.

    REINFORCEMENT AND ROLE-REVERSAL TECHNIQUES ARE USED IN THE SCORE PROJECT, A LOW-COST PROGRAM OF DELINQUENCY PREVENTION FOR HARD-CORE TEENAGE STREET CORNER BOYS. COMMITTED TO THE BELIEF THAT THE BOYS HAVE THE POTENTIAL FOR ETHICAL BEHAVIOR, THE SCORE WORKER FOLLOWS B.F. SKINNER'S THEORY OF OPERANT CONDITIONING AND REINFORCES THE DELINQUENT'S GOOD…

  17. Functional classifications for cerebral palsy: correlations between the gross motor function classification system (GMFCS), the manual ability classification system (MACS) and the communication function classification system (CFCS).

    PubMed

    Compagnone, Eliana; Maniglio, Jlenia; Camposeo, Serena; Vespino, Teresa; Losito, Luciana; De Rinaldis, Marta; Gennaro, Leonarda; Trabacca, Antonio

    2014-11-01

    This study aimed to investigate a possible correlation between the gross motor function classification system-expanded and revised (GMFCS-E&R), the manual abilities classification system (MACS) and the communication function classification system (CFCS) functional levels in children with cerebral palsy (CP) by CP subtype. It was also geared to verify whether there is a correlation between these classification systems and intellectual functioning (IF) and parental socio-economic status (SES). A total of 87 children (47 males and 40 females, age range 4-18 years, mean age 8.9±4.2) were included in the study. A strong correlation was found between the three classifications: Level V of the GMFCS-E&R corresponds to Level V of the MACS (rs=0.67, p=0.001); the same relationship was found for the CFCS and the MACS (rs=0.73, p<0.001) and for the GMFCS-E&R and the CFCS (rs=0.61, p=0.001). The correlations between the IQ and the global functional disability profile were strong or moderate (GMFCS and IQ: rs=0.66, p=0.001; MACS and IQ: rs=0.58, p=0.001; CFCS and MACS: rs=0.65, p=0.001). The Kruskal-Wallis test was used to determine if there were differences between the GMFCS-E&R, the CFCS and the MACS by CP type. CP types showed different scores for the IQ level (Chi-square=8.59, df=2, p=0.014), the GMFCS-E&R (Chi-square=36.46, df=2, p<0.001), the CFCS (Chi-square=12.87, df=2, p=0.002), and the MACS Level (Chi-square=13.96, df=2, p<0.001) but no significant differences emerged for the SES (Chi-square=1.19, df=2, p=0.554). This study shows how the three functional classifications (GMFCS-E&R, CFCS and MACS) complement each other to provide a better description of the functional profile of CP. The systematic evaluation of the IQ can provide useful information about a possible future outcome for every functional level. The SES does not appear to affect functional profiles.

  18. Mortality scoring in ITU.

    PubMed

    Niewiński, Grzegorz; Kański, Andrzej

    2012-01-01

    Chronic shortage of ITU beds makes decisions on admission difficult and responsible. The use of computer-based mortality scoring should help in decision-making and for this purpose, a number of different scoring systems have been created; in principle, they should be easy to use, adaptable to all populations of patients and suitable for predicting the risk of mortality during both ITU and hospital stay. Most of existing scales and scoring systems were included in this review. They are frequently used in ITUs and become a necessary tool to describe ITU populations and to explain differences in mortality. As there are several pitfalls related to the interpretation of the numbers supplied by the systems, they should be used with the knowledge on the severity scoring science. Moreover, the cost and significant workload limit the use of scoring systems; in many cases an extra person has to be employed for collection and analysis of data only.

  19. Analysis of WAIS-IV index score scatter using significant deviation from the mean index score.

    PubMed

    Grégoire, Jacques; Coalson, Diane L; Jianjun Zhu

    2011-06-01

    The Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) does not include verbal IQ and performance IQ scores, as provided in previous editions of the scale; rather, this edition provides comparisons among four index scores, allowing analysis of an individual's WAIS-IV performance in more discrete domains of cognitive ability. To supplement the pairwise index score comparisons included in the WAIS-IV manuals, this article describes the use of the mean of the four index scores (the average index score) as a baseline for analyzing index score variability and as a method for identifying strengths and weaknesses within an individual's index score pattern. Davis's formula was used to calculate critical values for the identification of index scores with a statistically significant difference from the average index score. Subsequent analysis of the WAIS-IV normative sample indicates that variability in performance at the index score level is not uncommon in the general population. More than 70% of individuals in the normative sample have at least one index score that differs significantly from their mean index score. This variability in index score performance appears to have little relationship to age or gender, but it is strongly related to the full-scale IQ.

  20. Development of Dengue Infection Severity Score

    PubMed Central

    Pongpan, Surangrat; Tawichasri, Chamaiporn; Namwongprom, Sirianong

    2013-01-01

    Objectives. To develop a simple scoring system to predict dengue infection severity based on patient characteristics and routine clinical profiles. Methods. Retrospective data of children with dengue infection from 3 general hospitals in Thailand were reviewed. Dengue infection was categorized into 3 severity levels: dengue infection (DF), dengue hemorrhagic fever (DHF), and dengue shock syndrome (DSS). Coefficients of significant predictors of disease severity under ordinal regression analysis were transformed into item scores. Total scores were used to classify patients into 3 severity levels. Results. Significant clinical predictors of dengue infection severity were age >6 years, hepatomegaly, hematocrit ≥40%, systolic pressure <90 mmHg, white cell count >5000 /μL, and platelet ≤50000 /μL. The derived total scores, which ranged from 0 to 18, classified patients into 3 severity levels: DF (scores <2.5, n = 451, 58.1%), DHF (scores 2.5–11.5, n = 276, 35.5%), and DSS (scores >11.5, n = 50, 6.4%). The derived score correctly classified patients into their original severity levels in 60.7%. An under-estimation of 25.7% and an over-estimation of 13.5% were clinically acceptable. Conclusions. The derived dengue infection severity score classified patients into DF, DHF, or DSS, correctly into their original severity levels. Validation of the score should be reconfirmed before application of routine practice. PMID:24324896

  1. Multiple Regression Analysis of Factors that May Influence Middle School Science Scores

    ERIC Educational Resources Information Center

    Glover, Judith

    2012-01-01

    The purpose of this quantitative multiple regression study was to determine whether a relationship existed between Maryland State Assessment (MSA) reading scores, MSA math scores, gender, ethnicity, age, and MSA science scores. Also examined was if MSA reading scores, MSA math scores, gender, ethnicity, and age can be used in combination or alone…

  2. Epigenetic Classification of Human Mesenchymal Stromal Cells

    PubMed Central

    de Almeida, Danilo Candido; Ferreira, Marcelo R.P.; Franzen, Julia; Weidner, Carola I.; Frobel, Joana; Zenke, Martin; Costa, Ivan G.; Wagner, Wolfgang

    2016-01-01

    Summary Standardization of mesenchymal stromal cells (MSCs) is hampered by the lack of a precise definition for these cell preparations; for example, there are no molecular markers to discern MSCs and fibroblasts. In this study, we followed the hypothesis that specific DNA methylation (DNAm) patterns can assist classification of MSCs. We utilized 190 DNAm profiles to address the impact of tissue of origin, donor age, replicative senescence, and serum supplements on the epigenetic makeup. Based on this, we elaborated a simple epigenetic signature based on two CpG sites to classify MSCs and fibroblasts, referred to as the Epi-MSC-Score. Another two-CpG signature can distinguish between MSCs from bone marrow and adipose tissue, referred to as the Epi-Tissue-Score. These assays were validated by site-specific pyrosequencing analysis in 34 primary cell preparations. Furthermore, even individual subclones of MSCs were correctly classified by our epigenetic signatures. In summary, we propose an alternative concept to use DNAm patterns for molecular definition of cell preparations, and our epigenetic scores facilitate robust and cost-effective quality control of MSC cultures. PMID:26862701

  3. Nutrient Density Scores.

    ERIC Educational Resources Information Center

    Dickinson, Annette; Thompson, William T.

    1979-01-01

    Announces a nutrient density food scoring system called the Index of Nutritional Quality (INQ). It expresses the ratio between the percent RDA of a nutrient and the percent daily allowance of calories in a food. (Author/SA)

  4. Volleyball Scoring Systems.

    ERIC Educational Resources Information Center

    Calhoun, William; Dargahi-Noubary, G. R.; Shi, Yixun

    2002-01-01

    The widespread interest in sports in our culture provides an excellent opportunity to catch students' attention in mathematics and statistics classes. One mathematically interesting aspect of volleyball, which can be used to motivate students, is the scoring system. (MM)

  5. Severity classification for idiopathic pulmonary fibrosis by using fuzzy logic

    PubMed Central

    Lopes, Agnaldo José; Capone, Domenico; Mogami, Roberto; Lanzillotti, Regina Serrão; de Melo, Pedro Lopes; Jansen, José Manoel

    2011-01-01

    OBJECTIVE: To set out a severity classification for idiopathic pulmonary fibrosis (IPF) based on the interaction of pulmonary function parameters with high resolution computed tomography (CT) findings. INTRODUCTION: Despite the contribution of functional and radiological methods in the study of IPF, there are few classification proposals for the disease based on these examinations. METHODS: A cross-sectional study was carried out, in which 41 non-smoking patients with IPF were evaluated. The following high resolution CT findings were quantified using a semi-quantitative scoring system: reticular abnormality, honeycombing and ground-glass opacity. The functional variables were measured by spirometry, forced oscillation technique, helium dilution method, as well as the single-breath method of diffusing capacity of carbon monoxide. With the interaction between functional indexes and high resolution CT scores through fuzzy logic, a classification for IPF has been built. RESULTS: Out of 41 patients studied, 26 were male and 15 female, with a mean age of 70.8 years. Volume measurements were the variables which showed the best interaction with the disease extension on high resolution CT, while the forced vital capacity showed the lowest estimative errors in comparison to total lung capacity. A classification for IPF was suggested based on the 95% confidence interval of the forced vital capacity %: mild group (≥92.7); moderately mild (76.9–92.6); moderate (64.3–76.8%); moderately severe (47.1–64.2); severe (24.3–47.0); and very severe (<24.3). CONCLUSION: Through fuzzy logic, an IPF classification was built based on forced vital capacity measurement with a simple practical application. PMID:21808868

  6. Seeing the forest for the trees: prevalence of low scores on the Wechsler Intelligence Scale for Children, fourth edition (WISC-IV).

    PubMed

    Brooks, Brian L

    2010-09-01

    Low scores across a battery of tests are common in healthy people and vary by demographic characteristics. The purpose of the present article was to present the base rates of low scores for the Wechsler Intelligence Scale for Children, fourth edition (WISC-IV; D. Wechsler, 2003). Participants included 2,200 children and adolescents between 6 and 16 years of age from the WISC-IV U.S. standardization sample. Measures considered in the base rates analyses included the 10 core subtests and the 4 index scores. Analyses were conducted for the entire standardization sample as well as stratified by different classifications of intelligence and different years of parental education. In the total sample, it is uncommon to have 6 or more subtest scores or 2 or more Index scores scores typically increased with lesser intelligence and fewer years of parental education (e.g., children with below-average intelligence were 75 times more likely than children with above-intelligence to have at least one impaired subtest score). Consistent with existing studies of the base rates of low scores, some low scores on the WISC-IV were common in children and adolescents, and the frequency was related to a child's level of intelligence and parental education.

  7. Computer Health Score

    SciTech Connect

    2016-08-03

    The algorithm develops a single health score for office computers, today just Windows, but we plan to extend this to Apple computers. The score is derived from various parameters, including: CPU Utilization Memory Utilization Various Error logs Disk Problems Disk write queue length It then uses a weighting scheme to balance these parameters and provide an overall health score. By using these parameters, we are not just assessing the theoretical performance of the components of the computer, rather we are using actual performance metrics that are selected to be a more realistic representation of the experience of the person using the computer. This includes compensating for the nature of their use. If there are two identical computers and the user of one places heavy demands on their computer compared with the user of the second computer, the former will have a lower health score. This allows us to provide a 'fit for purpose' score tailored to the assigned user. This is very helpful data to inform the mangers when individual computers need to be replaced. Additionally it provides specific information that can facilitate the fixing of the computer, to extend it's useful lifetime. This presents direct financial savings, time savings for users transferring from one computer to the next, and better environmental stewardship.

  8. Outcome Predictors in Prosthetic Joint Infections--Validation of a risk stratification score for Prosthetic Joint Infections in 120 cases.

    PubMed

    Wimmer, Matthias D; Randau, Thomas M; Friedrich, Max J; Ploeger, Milena M; Schmolder, Jan; Strauss, Andreas C; Pennekamp, Peter H; Vavken, Patrick; Gravius, Sascha

    2016-03-01

    Prosthetic joint infections are a major challenge in total joint arthroplasty, especially in times of accumulating drug resistancies. Even though predictive risk classifications are a widely accepted tool to define a suitable treatment protocol a classification is still missing considering the difficulty in treating the -causative pathogen antibiotically. In this study, we present and evaluate a new predictive risk stratification for prosthetic joint infections in 120 cases, treated with a two-stage exchange. Treatment outcomes in 120 patients with proven prosthetic joint infections in hip and knee prostheses were regressed on time of infection, systemic risk factors, local risk factors and the difficulty in treating the causing pathogen. The main outcome variable was "definitely free of infection" after two years as published. Age, gender, and BMI were included as covariables and analyzed in a logistic regression model. 66 male and 54 female patients, with a mean age at surgery of 68.3 years±12.0 and a mean BMI of 26.05±6.21 were included in our survey and followed for 29.0±11.3 months. We found a significant association (p<0.001) between our score and the outcome parameters evaluated. Age, gender and BMI did not show a significant association with the outcome. These results show that our score is an independent and reliable predictor for the cure rate in prosthetic joint infections in hip and knee prostheses treated within a two-stage exchange protocol. Our score illustrates, that there is a statistically significant, sizable decrease in cure rate with an increase in score. In patients with prosthetic joint infections the validation of a risk score may help to identify patients with local and systemic risk factors or with infectious organisms identified as "difficult to treat" prior to the treatment or the decision about the treatment concept. Thus, appropriate extra care should be considered and provided.

  9. Rapid conversion of adolescent MMPI raw scores to T scores using the HP-67 programmable calculator.

    PubMed

    Hembling, D W

    1984-01-01

    Used a programmable Hewlett-Packard scientific calculator (HP-67, 97, 41C, 41CV) to rapidly convert raw scores from adolescent MMPI protocols to T scores, scale by scale. The K factor is handled, as needed, automatically. The program is stored on one side of a standard HP magnetic card. The norm data for adolescents (or optionally any other group) in the age groups less than 15, 15, 16, and 17 occupy two sides per sex per age group of eight magnetic data cards. Complete scoring and profiling of the R-form MMPI can be done in less than 10 minutes.

  10. Classification Analysis.

    ERIC Educational Resources Information Center

    Ball, Geoffrey H.

    Sorting things into groups is a basic intellectual task that allows people to simplify with minimal reduction in information. Classification techniques, which include both clustering and discrimination, provide step-by-step computer-based procedures for sorting things based on notions of generalized similarity and on the "class description"…

  11. Validation of dengue infection severity score

    PubMed Central

    Pongpan, Surangrat; Patumanond, Jayanton; Wisitwong, Apichart; Tawichasri, Chamaiporn; Namwongprom, Sirianong

    2014-01-01

    Objective To validate a simple scoring system to classify dengue viral infection severity to patients in different settings. Methods The developed scoring system derived from 777 patients from three tertiary-care hospitals was applied to 400 patients in the validation data obtained from another three tertiary-care hospitals. Percentage of correct classification, underestimation, and overestimation was compared. The score discriminative performance in the two datasets was compared by analysis of areas under the receiver operating characteristic curves. Results Patients in the validation data were different from those in the development data in some aspects. In the validation data, classifying patients into three severity levels (dengue fever, dengue hemorrhagic fever, and dengue shock syndrome) yielded 50.8% correct prediction (versus 60.7% in the development data), with clinically acceptable underestimation (18.6% versus 25.7%) and overestimation (30.8% versus 13.5%). Despite the difference in predictive performances between the validation and the development data, the overall prediction of the scoring system is considered high. Conclusion The developed severity score may be applied to classify patients with dengue viral infection into three severity levels with clinically acceptable under- or overestimation. Its impact when used in routine clinical practice should be a topic for further study. PMID:24623999

  12. Bootstrap classification and point-based feature selection from age-staged mouse cerebellum tissues of matrix assisted laser desorption/ionization mass spectra using a fuzzy rule-building expert system.

    PubMed

    Harrington, Peter B; Laurent, Claudine; Levinson, Douglas F; Levitt, Pat; Markey, Sanford P

    2007-09-19

    A bootstrap method for point-based detection of candidate biomarker peaks has been developed from pattern classifiers. Point-based detection methods are advantageous in comparison to peak-based methods. Peak determination and selection are problematic when spectral peaks are not baseline resolved or on a varying baseline. The benefit of point-based detection is that peaks can be globally determined from the characteristic features of the entire data set (i.e., subsets of candidate points) as opposed to the traditional method of selecting peaks from individual spectra and then combining the peak list into a data set. The point-based method is demonstrated to be more effective and efficient using a synthetic data set when compared to using Mahalanobis distance for feature selection. In addition, probabilities that characterize the uniqueness of the peaks are determined. This method was applied for detecting peaks that characterize age-specific patterns of protein expression of developing and adult mouse cerebella from matrix assisted laser desorption/ionization (MALDI) mass spectrometry (MS) data. The mice comprised three age groups: 42 adults, 19 14-day-old pups, and 16 7-day-old pups. Three sequential spectra were obtained from each tissue section to yield 126, 57 and 48 spectra for adult, 14-day-old pup, and 7-day-old pup spectra, respectively. Each spectrum comprised 71,879 mass measurements in a range of 3.5-50 kDa. A previous study revealed that 846 unique peaks were detected that were consistent for 50% of the mice in each age group (C. Laurent, D.F. Levinson, S.A. Schwartz, P.B. Harrington, S.P. Markey, R.M. Caprioli, P. Levitt, Direct profiling of the cerebellum by MALDI MS: a methodological study in postnatal and adult mouse, J. Neurosci. Res. 81 (2005) 613-621.). A fuzzy rule-building expert system (FuRES) was applied to investigate the correlation of age with features in the MS data. FuRES detected two outlier pup-14 spectra. Prediction was evaluated

  13. Developing Scoring Algorithms

    Cancer.gov

    We developed scoring procedures to convert screener responses to estimates of individual dietary intake for fruits and vegetables, dairy, added sugars, whole grains, fiber, and calcium using the What We Eat in America 24-hour dietary recall data from the 2003-2006 NHANES.

  14. Automated Essay Scoring

    ERIC Educational Resources Information Center

    Dikli, Semire

    2006-01-01

    The impacts of computers on writing have been widely studied for three decades. Even basic computers functions, i.e. word processing, have been of great assistance to writers in modifying their essays. The research on Automated Essay Scoring (AES) has revealed that computers have the capacity to function as a more effective cognitive tool (Attali,…

  15. A score model for the continuous grading of early allograft dysfunction severity.

    PubMed

    Pareja, Eugenia; Cortes, Miriam; Hervás, David; Mir, José; Valdivieso, Andrés; Castell, José V; Lahoz, Agustín

    2015-01-01

    Early allograft dysfunction (EAD) dramatically influences graft and patient outcomes. A lack of consensus on an EAD definition hinders comparisons of liver transplant outcomes and management of recipients among and within centers. We sought to develop a model for the quantitative assessment of early allograft function [Model for Early Allograft Function Scoring (MEAF)] after transplantation. A retrospective study including 1026 consecutive liver transplants was performed for MEAF score development. Multivariate data analysis was used to select a small number of postoperative variables that adequately describe EAD. Then, the distribution of these variables was mathematically modeled to assign a score for each actual variable value. A model, based on easily obtainable clinical parameters (ie, alanine aminotransferase, international normalized ratio, and bilirubin) and scoring liver function from 0 to 10, was built. The MEAF score showed a significant association with patient and graft survival at 3-, 6- and 12-month follow-ups. Hepatic steatosis and age for donors; cold/warm ischemia times and postreperfusion syndrome for surgery; and intensive care unit and hospital stays, Model for End-Stage Liver Disease and Child-Pugh scores, body mass index, and fresh frozen plasma transfusions for recipients were factors associated significantly with EAD. The model was satisfactorily validated by its application to an independent set of 200 patients who underwent liver transplantation at a different center. In conclusion, a model for the quantitative assessment of EAD severity has been developed and validated for the first time. The MEAF provides a more accurate graft function assessment than current categorical classifications and may help clinicians to make early enough decisions on retransplantation benefits. Furthermore, the MEAF score is a predictor of recipient and graft survival. The standardization of the criteria used to define EAD may allow reliable comparisons of

  16. Syncopation and the Score

    PubMed Central

    Song, Chunyang; Simpson, Andrew J. R.; Harte, Christopher A.; Pearce, Marcus T.; Sandler, Mark B.

    2013-01-01

    The score is a symbolic encoding that describes a piece of music, written according to the conventions of music theory, which must be rendered as sound (e.g., by a performer) before it may be perceived as music by the listener. In this paper we provide a step towards unifying music theory with music perception in terms of the relationship between notated rhythm (i.e., the score) and perceived syncopation. In our experiments we evaluated this relationship by manipulating the score, rendering it as sound and eliciting subjective judgments of syncopation. We used a metronome to provide explicit cues to the prevailing rhythmic structure (as defined in the time signature). Three-bar scores with time signatures of 4/4 and 6/8 were constructed using repeated one-bar rhythm-patterns, with each pattern built from basic half-bar rhythm-components. Our manipulations gave rise to various rhythmic structures, including polyrhythms and rhythms with missing strong- and/or down-beats. Listeners (N = 10) were asked to rate the degree of syncopation they perceived in response to a rendering of each score. We observed higher degrees of syncopation in time signatures of 6/8, for polyrhythms, and for rhythms featuring a missing down-beat. We also found that the location of a rhythm-component within the bar has a significant effect on perceived syncopation. Our findings provide new insight into models of syncopation and point the way towards areas in which the models may be improved. PMID:24040323

  17. Factors Affecting Children's Math Achievement Scores in Preschool

    ERIC Educational Resources Information Center

    Kilday, Carolyn R.

    2010-01-01

    This dissertation contains three independently conducted studies on factors that affect the math achievement scores of preschool-aged children. The first study examined the associations between children's executive-functioning (EF) and math achievement scores at 54 months of age. Results suggest that EF is strongly associated with children's…

  18. Phoneme and Word Scoring in Speech-in-Noise Audiometry

    PubMed Central

    Penman, Tina M.; Ellis, Emily M.; Baltzell, Lucas S.; McMillan, Garnett P.

    2016-01-01

    Purpose Understanding speech in background noise is difficult for many individuals; however, time constraints have limited its inclusion in the clinical audiology assessment battery. Phoneme scoring of words has been suggested as a method of reducing test time and variability. The purposes of this study were to establish a phoneme scoring rubric and use it in testing phoneme and word perception in noise in older individuals and individuals with hearing impairment. Method Words were presented to 3 participant groups at 80 dB in speech-shaped noise at 7 signal-to-noise ratios (−10 to 35 dB). Responses were scored for words and phonemes correct. Results It was not surprising to find that phoneme scores were up to about 30% better than word scores. Word scoring resulted in larger hearing loss effect sizes than phoneme scoring, whereas scoring method did not significantly modify age effect sizes. There were significant effects of hearing loss and some limited effects of age; age effect sizes of about 3 dB and hearing loss effect sizes of more than 10 dB were found. Conclusion Hearing loss is the major factor affecting word and phoneme recognition with a subtle contribution of age. Phoneme scoring may provide several advantages over word scoring. A set of recommended phoneme scoring guidelines is provided. PMID:26989823

  19. Neurodevelopmental outcome in babies with a low Apgar score from Zimbabwe.

    PubMed

    Wolf, M J; Wolf, B; Bijleveld, C; Beunen, G; Casaer, P

    1997-12-01

    The early identification of neurological dysfunction in the neonatal period, the predictive value of single items of the neonatal neurological examination (NNE) adapted from Prechtl and the developmental outcome at 1 year of age in infants with a low Apgar score in Zimbabwe were studied. One hundred and sixty-five infants were examined with the NNE and 142 with the Bayley Scale of Infant Development (BSID) at 1 year of age. Twenty-three infants had cerebral palsy, ten had a motor delay or developmental delay, and four were mentally retarded. The NNE proved to be a sensitive instrument for detecting neurodevelopmental abnormality. Logistic regression analysis was used to investigate the relationship between the BSID and nine selected predictors from the NNE. This resulted in a correct classification of 94%. However, the number of false negatives was high. By using only the variability of movements and fixation as predictors the number of false negatives was reduced to one.

  20. HIV classification using coalescent theory

    SciTech Connect

    Zhang, Ming; Letiner, Thomas K; Korber, Bette T

    2008-01-01

    Algorithms for subtype classification and breakpoint detection of HIV-I sequences are based on a classification system of HIV-l. Hence, their quality highly depend on this system. Due to the history of creation of the current HIV-I nomenclature, the current one contains inconsistencies like: The phylogenetic distance between the subtype B and D is remarkably small compared with other pairs of subtypes. In fact, it is more like the distance of a pair of subsubtypes Robertson et al. (2000); Subtypes E and I do not exist any more since they were discovered to be composed of recombinants Robertson et al. (2000); It is currently discussed whether -- instead of CRF02 being a recombinant of subtype A and G -- subtype G should be designated as a circulating recombination form (CRF) nd CRF02 as a subtype Abecasis et al. (2007); There are 8 complete and over 400 partial HIV genomes in the LANL-database which belong neither to a subtype nor to a CRF (denoted by U). Moreover, the current classification system is somehow arbitrary like all complex classification systems that were created manually. To this end, it is desirable to deduce the classification system of HIV systematically by an algorithm. Of course, this problem is not restricted to HIV, but applies to all fast mutating and recombining viruses. Our work addresses the simpler subproblem to score classifications of given input sequences of some virus species (classification denotes a partition of the input sequences in several subtypes and CRFs). To this end, we reconstruct ancestral recombination graphs (ARG) of the input sequences under restrictions determined by the given classification. These restritions are imposed in order to ensure that the reconstructed ARGs do not contradict the classification under consideration. Then, we find the ARG with maximal probability by means of Markov Chain Monte Carlo methods. The probability of the most probable ARG is interpreted as a score for the classification. To our

  1. Measurement of Nonverbal IQ in Autism Spectrum Disorder: Scores in Young Adulthood Compared to Early Childhood

    ERIC Educational Resources Information Center

    Bishop, Somer L.; Farmer, Cristan; Thurm, Audrey

    2015-01-01

    Nonverbal IQ (NVIQ) was examined in 84 individuals with autism spectrum disorder (ASD) followed from age 2 to 19. Most adults who scored in the range of intellectual disability also received scores below 70 as children, and the majority of adults with scores in the average range had scored in this range by age 3. However, within the lower ranges…

  2. The Relation between Factor Score Estimates, Image Scores, and Principal Component Scores

    ERIC Educational Resources Information Center

    Velicer, Wayne F.

    1976-01-01

    Investigates the relation between factor score estimates, principal component scores, and image scores. The three methods compared are maximum likelihood factor analysis, principal component analysis, and a variant of rescaled image analysis. (RC)

  3. Physical Activity Level Improves the Predictive Accuracy of Cardiovascular Disease Risk Score: The ATTICA Study (2002–2012)

    PubMed Central

    Georgousopoulou, Ekavi N.; Panagiotakos, Demosthenes B.; Bougatsas, Dimitrios; Chatzigeorgiou, Michael; Kavouras, Stavros A.; Chrysohoou, Christina; Skoumas, Ioannis; Tousoulis, Dimitrios; Stefanadis, Christodoulos; Pitsavos, Christos

    2016-01-01

    Background: Although physical activity (PA) has long been associated with cardiovascular disease (CVD), assessment of PA status has never been used as a part of CVD risk prediction tools. The aim of the present work was to examine whether the inclusion of PA status in a CVD risk model improves its predictive accuracy. Methods: Data from the 10-year follow-up (2002–2012) of the n = 2020 participants (aged 18–89 years) of the ATTICA prospective study were used to test the research hypothesis. The HellenicSCORE (that incorporates age, sex, smoking, total cholesterol, and systolic blood pressure levels) was calculated to estimate the baseline 10-year CVD risk; assessment of PA status was based on the International Physical Activity Questionnaire. The estimated CVD risk was tested against the observed 10-year incidence (i.e., development of acute coronary syndromes, stroke, or other CVD according to the World Health Organization [WHO]-International Classification of Diseases [ICD]-10 criteria). Changes in the predictive ability of the nested CVD risk model that contained the HellenicSCORE plus PA assessment were evaluated using Harrell's C and net reclassification index. Results: Both HellenicSCORE and PA status were predictors of future CVD events (P < 0.05). However, the estimating classification bias of the model that included only the HellenicSCORE was significantly reduced when PA assessment was included (Harrel's C = 0.012, P = 0.032); this reduction remained significant even when adjusted for diabetes mellitus and dietary habits (P < 0.05). Conclusions: CVD risk scores seem to be more accurate by incorporating individuals’ PA status; thus, may be more effective tools in primary prevention by efficiently allocating CVD candidates. PMID:27076890

  4. Conceptual versus Monolingual Scoring: When Does It Make a Difference?

    ERIC Educational Resources Information Center

    Bedore, Lisa M.; Pena, Elizabeth D.; Garcia, Melissa; Cortez, Celina

    2005-01-01

    Purpose: This study evaluates the extent to which bilingual children produce the same or overlapping responses on tasks assessing semantic skills in each of their languages and whether classification analysis based on monolingual or conceptual scoring can accurately classify the semantic development of typically developing (TD) bilingual children.…

  5. Introducing a new histologic scoring system for iron deposition in liver of thalassemic patients, compared with atomic absorption spectrometry.

    PubMed

    Tavassoli, Habib; Mahjoub, Fatemeh; Jahanzad, Eesa; Farahmand, Fatemeh; Izadyar, Mina; Sani, Mehri Najafi; Rashti, Mohammad Lamei; Aramli, Mohammad Sadegh

    2015-01-01

    Iron deposition in liver is a major finding in thalassemic patients and because of direct iron toxicity to liver it is associated with several consequences for example liver fibrosis. Liver biopsies from 63 patients were evaluated, 40 (63.5%) were male and 20 (36.5%) were female. The mean age of the patients was 8.01 ± 3.7 and the age range was from 1.8 to 15 years. Histologic grading and staging was performed for each case according to modified HAI (Hepatitis Activity Index) system. Iron scoring was performed according to Sindram & Marx and MTK1-3 scoring systems. The mean (SD) dry weight (dw) of liver specimens was 1.34 (0.11) mg (range 0.20 to 3.80 mg). The mean (SD) of hepatic iron concentration was 230.9 (121.2)μmol/g dry weight. The relationship between the variables HIC, HII (hepatic iron index) and all histological gradings of iron (S&M and MTK1-3) was very strong. The relationship between the HIC and staging by HAI method was good. Significant differences were identified between the mean HIC in scores 1&2 of all histological iron scorings (S&M and MTK1-3), but no significant differences identified between mean HIC in other adjacent scores in all histological iron scorings (S&M and MTK1, 2 and 3). New scoring system introduced by us in this study which considered size and density of iron granules as well as zone of iron deposition was very much the same as simple Sindram and Marx classification.

  6. Developmentally sensitive diagnostic criteria for mental health disorders in early childhood: the diagnostic and statistical manual of mental disorders-IV, the research diagnostic criteria-preschool age, and the diagnostic classification of mental health and developmental disorders of infancy and early childhood-revised.

    PubMed

    Egger, Helen L; Emde, Robert N

    2011-01-01

    As the infant mental health field has turned its focus to the presentation, course, and treatment of clinically significant mental health disorders, the need for reliable and valid criteria for identifying and assessing mental health symptoms and disorders in early childhood has become urgent. In this article we offer a critical perspective on diagnostic classification of mental health disorders in young children. We place the issue of early childhood diagnosis within the context of classification of psychopathology at other ages and describe, in some detail, diagnostic classifications that have been developed specifically for young children, including the Diagnostic Classification of Mental Health and Developmental Disorders of Infancy and Early Childhood (DC:0-3R; ZERO TO THREE, 2005), a diagnostic classification for mental health symptoms and disorders in infants, toddlers, and preschoolers. We briefly outline the role of diagnostic classification in clinical assessment and treatment planning. Last, we review the limitations of current approaches to the diagnostic classification of mental health disorders in young children.

  7. Evaluation of a Comprehensive Delivery Room Neonatal Resuscitation and Adaptation Score (NRAS) Compared to the Apgar Score: A Pilot Study.

    PubMed

    Jurdi, Shadi R; Jayaram, Archana; Sima, Adam P; Hendricks Muñoz, Karen D

    2015-01-01

    This study evaluated the interrater reliability and perceived importance of components of a developed neonatal adaption score, Neonatal Resuscitation Adaptation Score (NRAS), for evaluation of resuscitation need in the delivery room for extremely premature to term infants. Similar to the Apgar, the NRAS highest score was 10, but greater weight was given to respiratory and cardiovascular parameters. Evaluation of provider (N = 17) perception and scoring pattern was recorded for 5 clinical scenarios of gestational ages 23 to 40 weeks at 1 and 5 minutes and documenting NRAS and Apgar score. Providers assessed the tool twice within a 1-month interval. NRAS showed superior interrater reliability (P < .001) and respiratory component reliability (P < .001) for all gestational ages compared to the Apgar score. These findings identify an objective tool in resuscitation assessment of infants, especially those of smaller gestation age, allowing for greater discrimination of postbirth transition in the delivery room.

  8. 78 FR 54970 - Cotton Futures Classification: Optional Classification Procedure

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-09-09

    ... submitted for quality verification meet more restrictive quality requirements and age parameters set by ICE... ``registration'' by the U.S. cotton industry and the Intercontinental Exchange (ICE). In response to requests from the U.S. cotton industry and ICE, AMS proposes to offer a futures classification option...

  9. Fingerprinting of music scores

    NASA Astrophysics Data System (ADS)

    Irons, Jonathan; Schmucker, Martin

    2004-06-01

    Publishers of sheet music are generally reluctant in distributing their content via the Internet. Although online sheet music distribution's advantages are numerous the potential risk of Intellectual Property Rights (IPR) infringement, e.g. illegal online distributions, disables any innovation propensity. While active protection techniques only deter external risk factors, additional technology is necessary to adequately treat further risk factors. For several media types including music scores watermarking technology has been developed, which ebeds information in data by suitable data modifications. Furthermore, fingerprinting or perceptual hasing methods have been developed and are being applied especially for audio. These methods allow the identification of content without prior modifications. In this article we motivate the development of watermarking and fingerprinting technologies for sheet music. Outgoing from potential limitations of watermarking methods we explain why fingerprinting methods are important for sheet music and address potential applications. Finally we introduce a condept for fingerprinting of sheet music.

  10. Investigating Elementary Teachers' Conceptions of Animal Classification

    ERIC Educational Resources Information Center

    Burgoon, Jacob N.; Duran, Emilio

    2012-01-01

    Numerous studies have been conducted regarding alternative conceptions about animal diversity and classification, many of which have used a cross-age approach to investigate how students' conceptions change over time. None of these studies, however, have investigated teachers' conceptions of animal classification. This study was intended to…

  11. Automated Essay Scoring versus Human Scoring: A Comparative Study

    ERIC Educational Resources Information Center

    Wang, Jinhao; Brown, Michelle Stallone

    2007-01-01

    The current research was conducted to investigate the validity of automated essay scoring (AES) by comparing group mean scores assigned by an AES tool, IntelliMetric [TM] and human raters. Data collection included administering the Texas version of the WriterPlacer "Plus" test and obtaining scores assigned by IntelliMetric [TM] and by…

  12. Definition of True Score Appropriate for Estimated True Scores

    ERIC Educational Resources Information Center

    Stanley, Julian C.

    1970-01-01

    It is shown that all obtained scores must meet the requirements for classical test-score theory with respect to definitions of true scores and errors of measurement if that frame of reference is to yield valid variance errors of measurement. (DG)

  13. Application of a headspace mass spectrometry system to the differentiation and classification of wines according to their origin, variety and ageing.

    PubMed

    Martí, M Pilar; Busto, Olga; Guasch, Josep

    2004-11-19

    The system based on coupling a headspace sampler to a mass spectrometer (HS-MS), considered a kind of electronic nose (e-nose), is an emerging technique in the field of food aroma analysis. The global mass spectrum this system provides is a fingerprint of each sample analysed that contains the information related to volatile composition of the sample. The use of chemometric techniques allows to compare the spectra of the samples and then, to classify them according to different properties. In this paper, we present the development of a method for wine analysis using a HS-MS system and multivariate analysis techniques. The method was successfully applied to differentiate and classify wines according to its origin, variety and ageing. The main advantages of the proposed methodology are the minimum sample preparation required and the speed of analysis (10 min/sample).

  14. [Scoring systems in intensive care medicine : principles, models, application and limits].

    PubMed

    Fleig, V; Brenck, F; Wolff, M; Weigand, M A

    2011-10-01

    Scoring systems are used in all diagnostic areas of medicine. Several parameters are evaluated and rated with points according to their value in order to simplify a complex clinical situation with a score. The application ranges from the classification of disease severity through determining the number of staff for the intensive care unit (ICU) to the evaluation of new therapies under study conditions. Since the introduction of scoring systems in the 1980's a variety of different score models has been developed. The scoring systems that are employed in intensive care and are discussed in this article can be categorized into prognostic scores, expenses scores and disease-specific scores. Since the introduction of compulsory recording of two scoring systems for accounting in the German diagnosis-related groups (DRG) system, these tools have gained more importance for all intensive care physicians. Problems remain in the valid calculation of scores and interpretation of the results.

  15. Prognostic staging system for hepatocellular carcinoma (CLIP score): its value and limitations, and a proposal for a new staging system, the Japan Integrated Staging Score (JIS score).

    PubMed

    Kudo, Masatoshi; Chung, Hobyung; Osaki, Yukio

    2003-01-01

    A clinical staging system for cancer patients provides guidance for patient assessment and making therapeutic decisions. It is useful in deciding whether to treat a patient aggressively, and in avoiding the overtreatment of patients who would not tolerate the treatment or patients whose life expectancy rules out any chance of treatment. Clinical staging is also an essential tool for comparison between groups in therapeutic trials and for comparison between different studies. The current classifications most commonly used for hepatocellular carcinoma (HCC) are the Okuda stages, the Child-Pugh staging system, tumor node metastasis (TNM) staging, and the Cancer of the Liver Italian Program (CLIP) score. Among these, the CLIP score is currently the most commonly used integrated staging score, including both tumor stage and liver disease stage. Although the CLIP score has been well validated by many authors in terms of its prognostic value in HCC patients, this score has some problems and limitations when applied to currently diagnosed HCC patients, who are diagnosed in the early stage of disease. First, the CLIP score can discriminate score 0- to 3-patient populations, but it is not able to discriminate score 4- to 6-patient groups. Second, the definition of tumor morphology in the best prognostic group is too advanced, i.e., uninodular and a tumor extent of less than 50% of the liver. As a result, the prognosis of the CLIP system best prognostic group is not so good. In other words, this system cannot identify the best prognostic group who would benefit from curative and aggressive treatment. Third, nearly 80% of the patient population is classified as having a CLIP score of 0-2, as confirmed by many studies, which shows poor stratification ability. In contrast, a new staging system based on the Liver Cancer Study Group of Japan (LCSGJ), the Japan Integrated Staging (JIS) score is currently proposed in Japan. This staging system combines Child-Pugh grade (grade A

  16. Olympic Scoring of English Compositions

    ERIC Educational Resources Information Center

    Follman, John; Panther, Edward

    1974-01-01

    Examines empirically the efficacy of utilizing Olympic diving and gymnastic scoring systems for grading graduate students' English compositions. Results indicated that such scoring rules do not produce ratings different in reliability or in level from conventional letter grades. (ED)

  17. On The Factor Score Controversy

    ERIC Educational Resources Information Center

    Green, Bert F. Jr.

    1976-01-01

    A summary and interpretation of the recent literature on the indeterminancy of factor scores is given in simple terms. A good index of factor score determinancy is the squared multiple correlation of the factor with the observed variables. (Author)

  18. Two-dimensional linear discriminant analysis for classification of three-way chemical data.

    PubMed

    Silva, Adenilton C da; Soares, Sófacles F C; Insausti, Matías; Galvão, Roberto K H; Band, Beatriz S F; Araújo, Mário César U de

    2016-09-28

    The two-dimensional linear discriminant analysis (2D-LDA) algorithm was originally proposed in the context of face image processing for the extraction of features with maximal discriminant power. However, despite its promising performance in image processing tasks, the 2D-LDA algorithm has not yet been used in applications involving chemical data. The present paper bridges this gap by investigating the use of 2D-LDA in classification problems involving three-way spectral data. The investigation was concerned with simulated data, as well as real-life data sets involving the classification of dry-cured Parma ham according to ageing by surface autofluorescence spectrometry and the classification of edible vegetable oils according to feedstock using total synchronous fluorescence spectrometry. The results were compared with those obtained by using the spectral data with no feature extraction, U-PLS-DA (Partial Least Squares Discriminant Analysis applied to the unfolded data), and LDA employing TUCKER-3 or PARAFAC scores. In the simulated data set, all methods yielded a correct classification rate of 100%. However, in the Parma ham and vegetable oil data sets, better classification rates were obtained by using 2D-LDA (86% and 100%), compared with no feature extraction (76% and 77%), U-PLS-DA (81% and 92%), PARAFAC-LDA (76% and 86%) and TUCKER3-LDA (86% and 93%).

  19. Line Lengths and Starch Scores.

    ERIC Educational Resources Information Center

    Moriarty, Sandra E.

    1986-01-01

    Investigates readability of different line lengths in advertising body copy, hypothesizing a normal curve with lower scores for shorter and longer lines, and scores above the mean for lines in the middle of the distribution. Finds support for lower scores for short lines and some evidence of two optimum line lengths rather than one. (SKC)

  20. Remote Sensing Information Classification

    NASA Technical Reports Server (NTRS)

    Rickman, Douglas L.

    2008-01-01

    This viewgraph presentation reviews the classification of Remote Sensing data in relation to epidemiology. Classification is a way to reduce the dimensionality and precision to something a human can understand. Classification changes SCALAR data into NOMINAL data.

  1. Classification and knowledge

    NASA Technical Reports Server (NTRS)

    Kurtz, Michael J.

    1989-01-01

    Automated procedures to classify objects are discussed. The classification problem is reviewed, and the relation of epistemology and classification is considered. The classification of stellar spectra and of resolved images of galaxies is addressed.

  2. The AFC Score: Validation of a 4-Item Predicting Score of Postoperative Mortality After Colorectal Resection for Cancer or Diverticulitis

    PubMed Central

    Alves, Arnaud; Panis, Yves; Mantion, Georges; Slim, Karem; Kwiatkowski, Fabrice; Vicaut, Eric

    2007-01-01

    Objective: The aim of the present prospective study was to validate externally a 4-item predictive score of mortality after colorectal surgery (the AFC score) by testing its generalizability on a new population. Summary Background Data: We have recently reported, in a French prospective multicenter study, that age older than 70 years, neurologic comorbidity, underweight (body weight loss >10% in <6 months), and emergency surgery significantly increased postoperative mortality after resection for cancer or diverticulitis. Patients and Methods: From June to September 2004, 1049 consecutive patients (548 men and 499 women) with a mean age of 67 ± 14 years, undergoing open or laparoscopic colorectal resection, were prospectively included. The AFC score was validated in this population. We assessed also the predictive value of other scores, such as the “Glasgow” score and the ASA score. To express and compare the predictive value of the different scores, a receiver operating characteristic curve was calculated. Results: Postoperative mortality rate was 4.6%. Variables already identified as predictors of mortality and used in the AFC score were also found to be associated with a high odds ratio in this study: emergency surgery, body weight loss >10%, neurologic comorbidity, and age older than 70 years in a multivariate logistic model. The validity of the AFC score in this population was found very high based both on the Hosmer-Lemeshow goodness of fit test (P = 0.37) and on the area under the ROC curve (0.89). We also found that discriminatory capacity was higher than other currently used risk scoring systems such as the Glasgow or ASA score. Conclusion: The present prospective study validated the AFC score as a pertinent predictive score of postoperative mortality after colorectal surgery. Because it is based on only 4 risk factors, the AFC score can be used in daily practice. PMID:17592296

  3. A Simple, Non-Invasive Score to Predict Paroxysmal Atrial Fibrillation

    PubMed Central

    Kallenberger, Stefan M.; Schmid, Christian; Wiedmann, Felix; Mereles, Derliz; Katus, Hugo A.; Thomas, Dierk; Schmidt, Constanze

    2016-01-01

    Paroxysmal atrial fibrillation (pAF) is a major risk factor for stroke but remains often unobserved. To predict the presence of pAF, we developed model scores based on echocardiographic and other clinical parameters from routine cardiac assessment. The scores can be easily implemented to clinical practice and might improve the early detection of pAF. In total, 47 echocardiographic and other clinical parameters were collected from 1000 patients with sinus rhythm (SR; n = 728), pAF (n = 161) and cAF (n = 111). We developed logistic models for classifying between pAF and SR that were reduced to the most predictive parameters. To facilitate clinical implementation, linear scores were derived. To study the pathophysiological progression to cAF, we analogously developed models for cAF prediction. For classification between pAF and SR, amongst 12 selected model parameters, the most predictive variables were tissue Doppler imaging velocity during atrial contraction (TDI, A’), left atrial diameter, age and aortic root diameter. Models for classifying between pAF and SR or between cAF and SR showed areas under the ROC curves of 0.80 or 0.93, which resembles classifiers with high discriminative power. The novel risk scores were suitable to predict the presence of pAF based on variables readily available from routine cardiac assessment. Modelling helped to quantitatively characterize the pathophysiologic transition from SR via pAF to cAF. Applying the scores may improve the early detection of pAF and might be used as decision aid for initiating preventive interventions to reduce AF-associated complications. PMID:27680490

  4. DIF Trees: Using Classification Trees to Detect Differential Item Functioning

    ERIC Educational Resources Information Center

    Vaughn, Brandon K.; Wang, Qiu

    2010-01-01

    A nonparametric tree classification procedure is used to detect differential item functioning for items that are dichotomously scored. Classification trees are shown to be an alternative procedure to detect differential item functioning other than the use of traditional Mantel-Haenszel and logistic regression analysis. A nonparametric…

  5. Combination of European System for Cardiac Operative Risk Evaluation (EuroSCORE) and Cardiac Surgery Score (CASUS) to Improve Outcome Prediction in Cardiac Surgery.

    PubMed

    Doerr, Fabian; Heldwein, Matthias B; Bayer, Ole; Sabashnikov, Anton; Weymann, Alexander; Dohmen, Pascal M; Wahlers, Thorsten; Hekmat, Khosro

    2015-08-17

    BACKGROUND We hypothesized that the combination of a preoperative and a postoperative scoring system would improve the accuracy of mortality prediction and therefore combined the preoperative 'additive EuroSCORE' (European system for cardiac operative risk evaluation) with the postoperative 'additive CASUS' (Cardiac Surgery Score) to form the 'modified CASUS'. MATERIAL AND METHODS We included all consecutive adult patients after cardiac surgery during January 2007 and December 2010 in our prospective study. Our single-centre study was conducted in a German general referral university hospital. The original additive and the 'modified CASUS' were tested using calibration and discrimination statistics. We compared the area under the curve (AUC) of the receiver characteristic curves (ROC) by DeLong's method and calculated overall correct classification (OCC) values. RESULTS The mean age among the total of 5207 patients was 67.2 ± 10.9 years. Whilst the ICU mortality was 5.9% we observed a mean length of ICU stay of 4.6 ± 7.0 days. Both models demonstrated excellent discriminatory power (mean AUC of 'modified CASUS': ≥ 0.929; 'additive CASUS': ≥ 0.920), with no significant differences according to DeLong. Neither model showed a significant p-value (<0.05) in calibration. We detected the best OCC during the 2nd day (modified: 96.5%; original: 96.6%). CONCLUSIONS Our 'additive' and 'modified' CASUS are reasonable overall predictors. We could not detect any improvement in the accuracy of mortality prediction in cardiac surgery by combining a preoperative and a postoperative scoring system. A separate calculation of the two individual elements is therefore recommended.

  6. Increasing Score Reliability with Item-Pattern Scoring: An Empirical Study in Several Score Metrics.

    ERIC Educational Resources Information Center

    Yen, Wendy M.; Candell, Gregory L.

    Reliabilities are compared for two types of test score data: number correct, and item response patterns. Item-pattern scoring using three-parameter item response theory takes into account how many and which items a student answers correctly. This procedure theoretically results in greater reliability than does number-correct scoring. Empirical…

  7. Variability and Diagnostic Accuracy of Speech Intelligibility Scores in Children

    ERIC Educational Resources Information Center

    Hustad, Katherine C.; Oakes, Ashley; Allison, Kristen

    2015-01-01

    Purpose: We examined variability of speech intelligibility scores and how well intelligibility scores predicted group membership among 5-year-old children with speech motor impairment (SMI) secondary to cerebral palsy and an age-matched group of typically developing (TD) children. Method: Speech samples varying in length from 1-4 words were…

  8. A comparison of WISC-IV and SB-5 intelligence scores in adolescents with autism spectrum disorder.

    PubMed

    Baum, Katherine T; Shear, Paula K; Howe, Steven R; Bishop, Somer L

    2015-08-01

    In autism spectrum disorders, results of cognitive testing inform clinical care, theories of neurodevelopment, and research design. The Wechsler Intelligence Scale for Children and the Stanford-Binet are commonly used in autism spectrum disorder evaluations and scores from these tests have been shown to be highly correlated in typically developing populations. However, they have not been compared in individuals with autism spectrum disorder, whose core symptoms can make testing challenging, potentially compromising test reliability. We used a within-subjects research design to evaluate the convergent validity between the Wechsler Intelligence Scale for Children, 4th ed., and Stanford-Binet, 5th ed., in 40 youth (ages 10-16 years) with autism spectrum disorder. Corresponding intelligence scores were highly correlated (r = 0.78 to 0.88), but full-scale intelligence quotient (IQ) scores (t(38) = -2.27, p = 0.03, d = -0.16) and verbal IQ scores (t(36) = 2.23, p = 0.03; d = 0.19) differed between the two tests. Most participants obtained higher full-scale IQ scores on the Stanford-Binet, 5th ed., compared to Wechsler Intelligence Scale for Children, 4th ed., with 14% scoring more than one standard deviation higher. In contrast, verbal indices were higher on the Wechsler Intelligence Scale for Children, 4th ed., Verbal-nonverbal discrepancy classifications were only consistent for 60% of the sample. Comparisons of IQ test scores in autism spectrum disorder and other special groups are important, as it cannot necessarily be assumed that convergent validity findings in typically developing children and adolescents hold true across all pediatric populations.

  9. Comparing Two CBM Maze Selection Tools: Considering Scoring and Interpretive Metrics for Universal Screening

    ERIC Educational Resources Information Center

    Ford, Jeremy W.; Missall, Kristen N.; Hosp, John L.; Kuhle, Jennifer L.

    2016-01-01

    Advances in maze selection curriculum-based measurement have led to several published tools with technical information for interpretation (e.g., norms, benchmarks, cut-scores, classification accuracy) that have increased their usefulness for universal screening. A range of scoring practices have emerged for evaluating student performance on maze…

  10. Personnel Selection Procedures as a Function of Sample Size, Cut Scores, and Quartile Ranking.

    ERIC Educational Resources Information Center

    Ferrara, F. Felicia

    Cut scores, quartile ranking, sample size, and overall classification scheme were studied as personnel selection procedures in two samples. The first was 120 simulated observations of employee scores based on actual selection procedures for applicants for administrative assistant positions. The other sample was composed of test results for 73…

  11. What Is the Relationship between Reading Scores on the THEA and Graduation Rates?

    ERIC Educational Resources Information Center

    Simpson, Nicole; Kadhi, Tau

    2009-01-01

    The purpose of this study is to investigate: What is the relationship between the reading scores of the Texas Higher Education Assessment (THEA) and the Graduation rates of students at a Historically Black College or University (HBCU)? A Correlational analysis was done using the classification of students, earned credit hours, and THEA scores.…

  12. Stability of Scores on Super's Work Values Inventory-Revised

    ERIC Educational Resources Information Center

    Leuty, Melanie E.

    2013-01-01

    Test-retest data on Super's Work Values Inventory-Revised for a group of predominantly White ("N" = 995) women (mean age = 23.5 years, SD = 8.07) and men (mean age = 21.5 years, SD = 5.80) showed stability in mean-level scores over a period of 1 year for the sample as a whole. However, low raw score and rank order stability coefficients…

  13. Prognostic Scores for Acute Pulmonary Embolism.

    PubMed

    Morillo, Raquel; Moores, Lisa; Jiménez, David

    2017-02-06

    Rapid and accurate risk stratification is critical in determining the optimal treatment strategy for patients with acute pulmonary embolism (PE). Early identification of patients with normal blood pressure and a favorable prognosis (low-risk PE) might select a subset of patients for outpatient treatment, which is associated with reduced cost and improved patient satisfaction, and has been shown to be effective and safe. Alternatively, identification of normotensive patients deemed as having a high risk for PE-related adverse clinical events (intermediate-high-risk PE) might select a subset of patients for close observation and consideration of escalation of therapy. Clinical prognostic scores have been gaining importance in the classification of patients into these categories. They should be derived and validated following strict methodological standards, and their use in clinical practice should be encouraged.

  14. Neonatal Brain Tissue Classification with Morphological Adaptation and Unified Segmentation

    PubMed Central

    Beare, Richard J.; Chen, Jian; Kelly, Claire E.; Alexopoulos, Dimitrios; Smyser, Christopher D.; Rogers, Cynthia E.; Loh, Wai Y.; Matthews, Lillian G.; Cheong, Jeanie L. Y.; Spittle, Alicia J.; Anderson, Peter J.; Doyle, Lex W.; Inder, Terrie E.; Seal, Marc L.; Thompson, Deanne K.

    2016-01-01

    Measuring the distribution of brain tissue types (tissue classification) in neonates is necessary for studying typical and atypical brain development, such as that associated with preterm birth, and may provide biomarkers for neurodevelopmental outcomes. Compared with magnetic resonance images of adults, neonatal images present specific challenges that require the development of specialized, population-specific methods. This paper introduces MANTiS (Morphologically Adaptive Neonatal Tissue Segmentation), which extends the unified segmentation approach to tissue classification implemented in Statistical Parametric Mapping (SPM) software to neonates. MANTiS utilizes a combination of unified segmentation, template adaptation via morphological segmentation tools and topological filtering, to segment the neonatal brain into eight tissue classes: cortical gray matter, white matter, deep nuclear gray matter, cerebellum, brainstem, cerebrospinal fluid (CSF), hippocampus and amygdala. We evaluated the performance of MANTiS using two independent datasets. The first dataset, provided by the NeoBrainS12 challenge, consisted of coronal T2-weighted images of preterm infants (born ≤30 weeks' gestation) acquired at 30 weeks' corrected gestational age (n = 5), coronal T2-weighted images of preterm infants acquired at 40 weeks' corrected gestational age (n = 5) and axial T2-weighted images of preterm infants acquired at 40 weeks' corrected gestational age (n = 5). The second dataset, provided by the Washington University NeuroDevelopmental Research (WUNDeR) group, consisted of T2-weighted images of preterm infants (born <30 weeks' gestation) acquired shortly after birth (n = 12), preterm infants acquired at term-equivalent age (n = 12), and healthy term-born infants (born ≥38 weeks' gestation) acquired within the first 9 days of life (n = 12). For the NeoBrainS12 dataset, mean Dice scores comparing MANTiS with manual segmentations were all above 0.7, except for the cortical gray

  15. Volatile compounds and sensorial characterisation of red wine aged in cherry, chestnut, false acacia, ash and oak wood barrels.

    PubMed

    Fernández de Simón, B; Martínez, J; Sanz, M; Cadahía, E; Esteruelas, E; Muñoz, A M

    2014-03-15

    The wood-related volatile profile of wines aged in cherry, acacia, ash, chestnut and oak wood barrels was studied by GC-MS, and could be a useful tool to identify the wood specie used. Thus, 2,4-dihydroxybenzaldehyde in wines aged in acacia barrels, and ethyl-2-benzoate in cherry barrels could be used as chemical markers of these wood species, for authenticity purposes. Also, the quantitative differences obtained in the volatile profiles allow a good classification of all wines regarding wood species of barrels, during all aging time, and they contributed with different intensities to aromatic and gustative characteristics of aged wines. Wines aged in oak were the best valuated during all aging time, but the differences were not always significant. The lowest scores were assigned to wines aged in cherry barrels from 6 months of aging, so this wood could be more suitable in short aging times.

  16. Classification and Differential Diagnosis of Diabetic Nephropathy

    PubMed Central

    2017-01-01

    Diabetic nephropathy (DN) is a major cause of end-stage renal disease throughout the world in both developed and developing countries. This review briefly introduces the characteristic pathological changes of DN and Tervaert pathological classification, which divides DN into four classifications according to glomerular lesions, along with a separate scoring system for tubular, interstitial, and vascular lesions. Given the heterogeneity of the renal lesions and the complex mechanism underlying diabetic nephropathy, Tervaert classification has both significance and controversies in the guidance of diagnosis and prognosis. Applications and evaluations using Tervaert classification and indications for renal biopsy are summarized in this review according to recent studies. Meanwhile, differential diagnosis with another nodular glomerulopathy and the situation that a typical DN superimposed with a nondiabetic renal disease (NDRD) are discussed and concluded in this review. PMID:28316995

  17. Functional connectivity classification of autism identifies highly predictive brain features but falls short of biomarker standards

    PubMed Central

    Plitt, Mark; Barnes, Kelly Anne; Martin, Alex

    2014-01-01

    Objectives Autism spectrum disorders (ASD) are diagnosed based on early-manifesting clinical symptoms, including markedly impaired social communication. We assessed the viability of resting-state functional MRI (rs-fMRI) connectivity measures as diagnostic biomarkers for ASD and investigated which connectivity features are predictive of a diagnosis. Methods Rs-fMRI scans from 59 high functioning males with ASD and 59 age- and IQ-matched typically developing (TD) males were used to build a series of machine learning classifiers. Classification features were obtained using 3 sets of brain regions. Another set of classifiers was built from participants' scores on behavioral metrics. An additional age and IQ-matched cohort of 178 individuals (89 ASD; 89 TD) from the Autism Brain Imaging Data Exchange (ABIDE) open-access dataset (http://fcon_1000.projects.nitrc.org/indi/abide/) were included for replication. Results High classification accuracy was achieved through several rs-fMRI methods (peak accuracy 76.67%). However, classification via behavioral measures consistently surpassed rs-fMRI classifiers (peak accuracy 95.19%). The class probability estimates, P(ASD|fMRI data), from brain-based classifiers significantly correlated with scores on a measure of social functioning, the Social Responsiveness Scale (SRS), as did the most informative features from 2 of the 3 sets of brain-based features. The most informative connections predominantly originated from regions strongly associated with social functioning. Conclusions While individuals can be classified as having ASD with statistically significant accuracy from their rs-fMRI scans alone, this method falls short of biomarker standards. Classification methods provided further evidence that ASD functional connectivity is characterized by dysfunction of large-scale functional networks, particularly those involved in social information processing. PMID:25685703

  18. Exploiting Sparsity in Hyperspectral Image Classification via Graphical Models

    DTIC Science & Technology

    2013-05-01

    AVIRIS INDIAN PINES TEST SET. LSGMz-SCORE= −2.13 TABLE II CLASSIFICATION RATES FOR THE UNIVERSITY OF PAVIA TEST SET. LSGMz-SCORE= −2.01 Fig. 2. Difference...CLASSIFICATION RATES FOR THE CENTER OF PAVIA TEST SET. LSGMz-SCORE= −2.17 A. AVIRIS Data Set: Indian Pines The first HSI in our experiments is the Airborne Visible...lowest for LSGM, underlining its improved robustness against particular choice of training samples. B. ROSIS Urban Data Over Pavia , Italy The next two

  19. Trends in Classroom Observation Scores

    ERIC Educational Resources Information Center

    Casabianca, Jodi M.; Lockwood, J. R.; McCaffrey, Daniel F.

    2015-01-01

    Observations and ratings of classroom teaching and interactions collected over time are susceptible to trends in both the quality of instruction and rater behavior. These trends have potential implications for inferences about teaching and for study design. We use scores on the Classroom Assessment Scoring System-Secondary (CLASS-S) protocol from…

  20. Skyrocketing Scores: An Urban Legend

    ERIC Educational Resources Information Center

    Krashen, Stephen

    2005-01-01

    A new urban legend claims, "As a result of the state dropping bilingual education, test scores in California skyrocketed." Krashen disputes this theory, pointing out that other factors offer more logical explanations of California's recent improvements in SAT-9 scores. He discusses research on the effects of California's Proposition 227,…

  1. More than Just Test Scores

    ERIC Educational Resources Information Center

    Levin, Henry M.

    2012-01-01

    Around the world we hear considerable talk about creating world-class schools. Usually the term refers to schools whose students get very high scores on the international comparisons of student achievement such as PISA or TIMSS. The practice of restricting the meaning of exemplary schools to the narrow criterion of achievement scores is usually…

  2. What is propensity score modelling?

    PubMed

    Campbell, Michael J

    2017-03-01

    Propensity score methodology is being increasingly used to try and make inferences about treatments when randomised trials are either impossible or not conducted and the only data are from observational studies. This paper reviews the basis of propensity scores and the current state of knowledge about them. It uses and critiques a current paper in the Emergency Medicine Journal to illustrate the methodology.

  3. Interpreting Linked Psychomotor Performance Scores

    ERIC Educational Resources Information Center

    Looney, Marilyn A.

    2013-01-01

    Given that equating/linking applications are now appearing in kinesiology literature, this article provides an overview of the different types of linked test scores: equated, concordant, and predicted. It also addresses the different types of evidence required to determine whether the scores from two different field tests (measuring the same…

  4. Hedonism or Higher Test Scores?

    ERIC Educational Resources Information Center

    Wold, Donald C.

    2004-01-01

    In the 20 years since the federal report on education "A Nation at Risk" appeared, much has been written on test scores of students in the United States versus their counterparts elsewhere. One of the issues is whether their scores are in fact inferior, or merely a statistical difference due to their universal schooling philosophy. Since…

  5. The Machine Scoring of Writing

    ERIC Educational Resources Information Center

    McCurry, Doug

    2010-01-01

    This article provides an introduction to the kind of computer software that is used to score student writing in some high stakes testing programs, and that is being promoted as a teaching and learning tool to schools. It sketches the state of play with machines for the scoring of writing, and describes how these machines work and what they do.…

  6. Guidelines for Improving SAT Scores.

    ERIC Educational Resources Information Center

    Thomson, Scott; DeLeonibus, Nancy

    The National Association of Secondary School Principals (NASSP) identified 34 high schools whose students maintained or improved their SAT scores from 1973 to 1976 or whose mean scores in 1973 were approximately the same as in 1965. In an open-ended questionnaire, the principals of these schools were asked to identify success factors. Their…

  7. D-score: a search engine independent MD-score.

    PubMed

    Vaudel, Marc; Breiter, Daniela; Beck, Florian; Rahnenführer, Jörg; Martens, Lennart; Zahedi, René P

    2013-03-01

    While peptides carrying PTMs are routinely identified in gel-free MS, the localization of the PTMs onto the peptide sequences remains challenging. Search engine scores of secondary peptide matches have been used in different approaches in order to infer the quality of site inference, by penalizing the localization whenever the search engine similarly scored two candidate peptides with different site assignments. In the present work, we show how the estimation of posterior error probabilities for peptide candidates allows the estimation of a PTM score called the D-score, for multiple search engine studies. We demonstrate the applicability of this score to three popular search engines: Mascot, OMSSA, and X!Tandem, and evaluate its performance using an already published high resolution data set of synthetic phosphopeptides. For those peptides with phosphorylation site inference uncertainty, the number of spectrum matches with correctly localized phosphorylation increased by up to 25.7% when compared to using Mascot alone, although the actual increase depended on the fragmentation method used. Since this method relies only on search engine scores, it can be readily applied to the scoring of the localization of virtually any modification at no additional experimental or in silico cost.

  8. Epidemiological burden estimates for pathologies with a nonconstant risk: an application to HCV in Italy according to age, Metavir score, and genotype: A systematic review and meta-analysis.

    PubMed

    Mancusi, Rossella Letizia; Andreoni, Massimo; d'Angela, Daniela; Sarrecchia, Cesare; Spandonaro, Federico

    2016-10-01

    Between western European countries, the hepatitis C virus (HCV) endemic is highest in Italy. The main objective of this paper is to estimate the endemic diffusion of hepatitis C at the national level and by geographical area, with an extrapolation at the regional level and by uniform cohorts of subjects (by sex and year of birth). The secondary objective is a stratification by gravity of the estimated statistical figures to provide an overview of possible targets of the new anti-HCV treatments.PubMed and the Cochrane Library were searched for relevant Italian populations studies regarding HCV prevalence. Random and fixed effect models were used for pooling data. To develop the epidemiological model, a meta-analysis of studies of Italian populations and the explicit consideration of the changes in the etiology of the disease in different cohorts (by year of birth) of population and the impact of effective treatments that have been introduced since the 1990s. A Markovian transition model, which is based on the distribution of HCV+ and HCV Ribonucleic Acid (RNA)+ subjects, provides a plausible assessment of the Italian situation. The Meta-analysis of Observational Studies in Epidemiology recommendations/statements were followed.In 2014, 1569,215 HCV+ subjects (95% credible interval [CrI]: 1202,630-2021,261) were estimated in Italy, with a 2.58% prevalence (95% CrI: 1.98%-3.33%). A total of 828,884 HCV RNA+ subjects (95% CrI: 615,892-1081,123), which is equal to a 1.36% prevalence (95% CrI: 1.01%-1.78%), is higher in southern Italy and the islands (1.9%) than in central-northern Italy (1.1%). The predominance of adult and elderly subjects, with an old or very old infection, inevitably entails a significant number of HCV RNA+ subjects in the advanced stages of the illness. According to our estimates, approximately 400,000 subjects have cirrhosis, decompensated cirrhosis, and hepatocarcinoma, with a median age of 70 years.The model aims to support policymakers to define

  9. Validation of the CAchexia SCOre (CASCO). Staging Cancer Patients: The Use of miniCASCO as a Simplified Tool

    PubMed Central

    Argilés, Josep M.; Betancourt, Angelica; Guàrdia-Olmos, Joan; Peró-Cebollero, Maribel; López-Soriano, Francisco J.; Madeddu, Clelia; Serpe, Roberto; Busquets, Sílvia

    2017-01-01

    The CAchexia SCOre (CASCO) was described as a tool for the staging of cachectic cancer patients. The aim of this study is to show the metric properties of CASCO in order to classify cachectic cancer patients into three different groups, which are associated with a numerical scoring. The final aim was to clinically validate CASCO for its use in the classification of cachectic cancer patients in clinical practice. We carried out a case -control study that enrolled prospectively 186 cancer patients and 95 age-matched controls. The score includes five components: (1) body weight loss and composition, (2) inflammation/metabolic disturbances/immunosuppression, (3) physical performance, (4) anorexia, and (5) quality of life. The present study provides clinical validation for the use of the score. In order to show the metric properties of CASCO, three different groups of cachectic cancer patients were established according to the results obtained with the statistical approach used: mild cachexia (15 ≤ × ≤ 28), moderate cachexia (29 ≤ × ≤ 46), and severe cachexia (47 ≤ × ≤ 100). In addition, a simplified version of CASCO, MiniCASCO (MCASCO), was also presented and it contributes as a valid and easy-to-use tool for cachexia staging. Significant statistically correlations were found between CASCO and other validated indexes such as Eastern Cooperative Oncology Group (ECOG) and the subjective diagnosis of cachexia by specialized oncologists. A very significant estimated correlation between CASCO and MCASCO was found that suggests that MCASCO might constitute an easy and valid tool for the staging of the cachectic cancer patients. CASCO and MCASCO provide a new tool for the quantitative staging of cachectic cancer patients with a clear advantage over previous classifications. PMID:28261113

  10. Stability of WISC-IV process scores.

    PubMed

    Ryan, Joseph J; Umfleet, Laura Glass; Kane, Alexa

    2013-01-01

    Forty-three students were administered on two occasions approximately 11 months apart the complete Wechsler Intelligence Scale for Children-Fourth Edition, including the seven process components of Block Design No Time Bonus, Digit Span Forward (DSF), Digit Span Backward (DSB), Cancellation Random (CAR), Cancellation Structured (CAS), Longest Digit Span Forward (LDSF), and Longest Digit Span Backward (LDSB). Mean ages at first and second testing were 7.77 years (SD = 1.91) and 8.74 years (SD = 1.93), respectively. Mean Full-Scale IQ at initial testing was 111.63 (SD = 10.71). Process score stability coefficients ranged from .75 on DSF to .32 on CAS. Discrepancy score stabilities ranged from .45 on DSF minus DSB to .05 on CAS minus CAR. Approximately 21% of participants increased their LDSF on retest, and 16.3% showed a gain on LDSB. Caution must be exercised when interpreting process scores, and interpretation of discrepancy scores should probably be avoided.

  11. Remodeling characteristics and collagen distribution in synthetic mesh materials explanted from human subjects after abdominal wall reconstruction: an analysis of remodeling characteristics by patient risk factors and surgical site classifications

    PubMed Central

    Cavallo, Jaime A.; Roma, Andres A.; Jasielec, Mateusz S.; Ousley, Jenny; Creamer, Jennifer; Pichert, Matthew D.; Baalman, Sara; Frisella, Margaret M.; Matthews, Brent D.

    2014-01-01

    Background The purpose of this study was to evaluate the associations between patient characteristics or surgical site classifications and the histologic remodeling scores of synthetic meshes biopsied from their abdominal wall repair sites in the first attempt to generate a multivariable risk prediction model of non-constructive remodeling. Methods Biopsies of the synthetic meshes were obtained from the abdominal wall repair sites of 51 patients during a subsequent abdominal re-exploration. Biopsies were stained with hematoxylin and eosin, and evaluated according to a semi-quantitative scoring system for remodeling characteristics (cell infiltration, cell types, extracellular matrix deposition, inflammation, fibrous encapsulation, and neovascularization) and a mean composite score (CR). Biopsies were also stained with Sirius Red and Fast Green, and analyzed to determine the collagen I:III ratio. Based on univariate analyses between subject clinical characteristics or surgical site classification and the histologic remodeling scores, cohort variables were selected for multivariable regression models using a threshold p value of ≤0.200. Results The model selection process for the extracellular matrix score yielded two variables: subject age at time of mesh implantation, and mesh classification (c-statistic = 0.842). For CR score, the model selection process yielded two variables: subject age at time of mesh implantation and mesh classification (r2 = 0.464). The model selection process for the collagen III area yielded a model with two variables: subject body mass index at time of mesh explantation and pack-year history (r2 = 0.244). Conclusion Host characteristics and surgical site assessments may predict degree of remodeling for synthetic meshes used to reinforce abdominal wall repair sites. These preliminary results constitute the first steps in generating a risk prediction model that predicts the patients and clinical circumstances for which non

  12. A Cross-Culture Study in Classification Operation.

    ERIC Educational Resources Information Center

    Sintoovongse, Kingfa

    1978-01-01

    Investigates classification achievement in Thai and American children as well as children's classification achievement within cultures and across cultures at different age levels. One hundred and twenty American and Thai children from 6 to 11 years of age were randomly selected to participate in this study. (HM)

  13. Search strategies in a human water maze analogue analyzed with automatic classification methods.

    PubMed

    Schoenfeld, Robby; Moenich, Nadine; Mueller, Franz-Josef; Lehmann, Wolfgang; Leplow, Bernd

    2010-03-17

    Although human spatial cognition is at the focus of intense research efforts, experimental evidence on how search strategies differ among age and gender groups remains elusive. To address this problem, we investigated the interaction between age, sex, and strategy usage within a novel virtual water maze-like procedure (VWM). We studied 28 young adults 20-29 years (14 males) and 30 middle-aged adults 50-59 years (15 males). Younger age groups outperformed older groups with respect to place learning. We also observed a moderate sex effect, with males outperforming females. Unbiased classification of human search behavior within this paradigm was done by means of an exploratory method using sparse non-negative matrix factorization (SNMF) and a parameter-based algorithm as an a priori classifier. Analyses of search behavior with the SNMF and the parameter-based method showed that the older group relied on less efficient search strategies, but females did not drop so dramatically. Place learning was related to the adaptation of elaborated search strategies. Participants using place-directed strategies obtained the highest score on place learning, and deterioration of place learning in the elderly was due to the use of less efficient non-specific strategies. A high convergence of the SNMF and the parameter-based classifications could be shown. Furthermore, the SNMF classification was cross validated with the traditional eyeballing method. As a result of this analysis, we conclude that SNMF is a robust exploratory method for the classification of search behavior in water maze procedures.

  14. Machine Learning Algorithms for Automatic Classification of Marmoset Vocalizations

    PubMed Central

    Ribeiro, Sidarta; Pereira, Danillo R.; Papa, João P.; de Albuquerque, Victor Hugo C.

    2016-01-01

    Automatic classification of vocalization type could potentially become a useful tool for acoustic the monitoring of captive colonies of highly vocal primates. However, for classification to be useful in practice, a reliable algorithm that can be successfully trained on small datasets is necessary. In this work, we consider seven different classification algorithms with the goal of finding a robust classifier that can be successfully trained on small datasets. We found good classification performance (accuracy > 0.83 and F1-score > 0.84) using the Optimum Path Forest classifier. Dataset and algorithms are made publicly available. PMID:27654941

  15. The ORBIT bleeding score: a simple bedside score to assess bleeding risk in atrial fibrillation

    PubMed Central

    O'Brien, Emily C.; Simon, DaJuanicia N.; Thomas, Laine E.; Hylek, Elaine M.; Gersh, Bernard J.; Ansell, Jack E.; Kowey, Peter R.; Mahaffey, Kenneth W.; Chang, Paul; Fonarow, Gregg C.; Pencina, Michael J.; Piccini, Jonathan P.; Peterson, Eric D.

    2015-01-01

    Background Therapeutic decisions in atrial fibrillation (AF) are often influenced by assessment of bleeding risk. However, existing bleeding risk scores have limitations. Objectives We sought to develop and validate a novel bleeding risk score using routinely available clinical information to predict major bleeding in a large, community-based AF population. Methods We analysed data from Outcomes Registry for Better Informed Treatment of Atrial Fibrillation (ORBIT-AF), a prospective registry that enrolled incident and prevalent AF patients at 176 US sites. Using Cox proportional hazards regression, we identified factors independently associated with major bleeding among patients taking oral anticoagulation (OAC) over a median follow-up of 2 years (interquartile range = 1.6–2.5). We also created a numerical bedside risk score that included the five most predictive risk factors weighted according to their strength of association with major bleeding. The predictive performance of the full model, the simple five-item score, and two existing risk scores (hypertension, abnormal renal/liver function, stroke, bleeding history or predisposition, labile INR, elderly, drugs/alcohol concomitantly, HAS-BLED, and anticoagulation and risk factors in atrial fibrillation, ATRIA) were then assessed in both the ORBIT-AF cohort and a separate clinical trial population, Rivaroxaban Once-daily oral direct factor Xa inhibition compared with vitamin K antagonism for prevention of stroke and embolism trial in atrial fibrillation (ROCKET-AF). Results Among 7411 ORBIT-AF patients taking OAC, the rate of major bleeding was 4.0/100 person-years. The full continuous model (12 variables) and five-factor ORBIT risk score (older age [75+ years], reduced haemoglobin/haematocrit/history of anaemia, bleeding history, insufficient kidney function, and treatment with antiplatelet) both had good ability to identify those who bled vs. not (C-index 0.69 and 0.67, respectively). These scores both had

  16. Egy-Score as a Noninvasive Score for the Assessment of Hepatic Fibrosis in Chronic Hepatitis C: A Preliminary Approach

    PubMed Central

    Alboraie, Mohamed; Khairy, Marwa; Elsharkawy, Aisha; Elsharkawy, Marwa; Asem, Noha; El-Seoud, Amany R. Abo; Elghamry, Fathy G.; Esmat, Gamal

    2014-01-01

    Background and Aims: Egy-Score is a new noninvasive score for prediction of severe hepatic fibrosis in patients with chronic liver diseases. The aim of this study was to validate Egy-Score as a noninvasive score for predicting stage of hepatic fibrosis in a group of Egyptian chronic hepatitis C patients. Patients and Methods: One hundred Egyptian patients with chronic hepatitis C were enrolled. Mean age was 40.25 ± 9.39 years. They were subjected to CA19-9, alpha-2-macroglobulin, total bilirubin, platelet count and albumin, liver biopsy, and histopathological staging of hepatic fibrosis according to METAVIR scoring system as part of their assessment for treatment. Egy-Score was calculated according to the following formula: Egy-Score = 3.52 + 0.0063 × CA19-9 + 0.0203 × age + 0.4485 × alpha-2-macroglobulin + 0.0303 × bilirubin – 0.0048 × platelet – 0.0462 × albumin. Egy-Score results were correlated to the stage of hepatic fibrosis. Results: Egy-Score correlates positively with the stage of hepatic fibrosis (F0–F4). Egy-Score was able to differentiate significant hepatic fibrosis, severe hepatic fibrosis, and cirrhosis accurately. Cutoff values of Egy-Score were 2.91850 (for significant fibrosis), 3.28624 (for severe fibrosis), and 3.67570 (for cirrhosis). Sensitivity, specificity, and areas-under-ROC curve (AUROCs) were 75.8%, 68.42%, and 0.776 (for significant fibrosis “≥F2”), 91.67%, 77.63%, and 0.875 (for severe fibrosis “≥F3”), and 81.82%, 86.52%, and 0.874 (for cirrhosis “F4”), respectively. Conclusion: Egy-Score is a useful noninvasive panel of surrogate biomarkers that could accurately predict different stages of hepatic fibrosis in patients with chronic hepatitis C. PMID:24976280

  17. Combination of European System for Cardiac Operative Risk Evaluation (EuroSCORE) and Cardiac Surgery Score (CASUS) to Improve Outcome Prediction in Cardiac Surgery

    PubMed Central

    Doerr, Fabian; Heldwein, Matthias B.; Bayer, Ole; Sabashnikov, Anton; Weymann, Alexander; Dohmen, Pascal M.; Wahlers, Thorsten; Hekmat, Khosro

    2015-01-01

    Background We hypothesized that the combination of a preoperative and a postoperative scoring system would improve the accuracy of mortality prediction and therefore combined the preoperative ‘additive EuroSCORE‘ (European system for cardiac operative risk evaluation) with the postoperative ‘additive CASUS’ (Cardiac Surgery Score) to form the ‘modified CASUS’. Material/Methods We included all consecutive adult patients after cardiac surgery during January 2007 and December 2010 in our prospective study. Our single-centre study was conducted in a German general referral university hospital. The original additive and the ‘modified CASUS’ were tested using calibration and discrimination statistics. We compared the area under the curve (AUC) of the receiver characteristic curves (ROC) by DeLong’s method and calculated overall correct classification (OCC) values. Results The mean age among the total of 5207 patients was 67.2±10.9 years. Whilst the ICU mortality was 5.9% we observed a mean length of ICU stay of 4.6±7.0 days. Both models demonstrated excellent discriminatory power (mean AUC of ‘modified CASUS’: ≥0.929; ‘additive CASUS’: ≥0.920), with no significant differences according to DeLong. Neither model showed a significant p-value (<0.05) in calibration. We detected the best OCC during the 2nd day (modified: 96.5%; original: 96.6%). Conclusions Our ‘additive’ and ‘modified’ CASUS are reasonable overall predictors. We could not detect any improvement in the accuracy of mortality prediction in cardiac surgery by combining a preoperative and a postoperative scoring system. A separate calculation of the two individual elements is therefore recommended. PMID:26279053

  18. Scoring Systems for Outcome Prediction of Patients with Perforation Peritonitis

    PubMed Central

    Litake, Manjusha Madhusudhan

    2016-01-01

    Introduction Peritonitis continues to be one of the major infectious problems confronting a surgeon. Mannheim Peritonitis Index (MPI), Physiological and Operative Severity Score for en Umeration of Mortality (POSSUM) and Morbidity and sepsis score of Stoner and Elebute have been devised for risk assessment and for prediction of postoperative outcome. Aim The aim of this study was to find the accuracy of these scores in predicting outcome in terms of mortality in patients undergoing exploratory laprotomy for perforation peritonitis. Materials and Methods The prospective study was carried out in 100 diagnosed cases of perforation at our centre in a single unit over a period of 21 months from December 2012 to August 2014. Study was conducted on all cases of peritonitis albeit primary, tertiary, iatrogenic and those with age less than 12 years were excluded from the study. All the relevant data were collected and three scores were computed from one set of data from the patient. The main outcome measure was survival of the patient. The Receiver Operator Characteristics (ROC) curves were obtained for the three scores. Area Under the Curves (AUC) was calculated. Sensitivity and specificity were calculated at a cut off point obtained from the ROC curves. Results POSSUM had an AUC of 0.99, sepsis score had an AUC of 0.98 and MPI had an AUC of 0.95. The cut off point score of 51 for POSSUM had an accuracy of 93.8 and positive predictive value of 70.5, the score of 29 for MPI had an accuracy of 82.8 and positive predictive value of 46 and the score of 22 for sepsis score had an accuracy of 95.9 and positive predictive value of 86.67. Conclusion POSSUM score was found to be superior in prediction of mortality as compared to sepsis score of Stoner and Elebute and MPI. POSSUM and MPI over predicted mortality in some cases. None of these scores are strictly preoperative. PMID:27134924

  19. Haemophilia Joint Health Score in healthy adults playing sports.

    PubMed

    Sluiter, D; Foppen, W; de Kleijn, P; Fischer, K

    2014-03-01

    To evaluate outcome of prophylactic clotting factor replacement in children with haemophilia, the Haemophilia Joint Health Score (HJHS) was developed aiming at scoring early joint changes in children aged 4-18. The HJHS has been used for adults on long-term prophylaxis but interpretation of small changes remains difficult. Some changes in these patients may be due to sports-related injuries. Evaluation of HJHS score in healthy adults playing sports could improve the interpretation of this score in haemophilic patients. The aim of this study was to evaluate the HJHS scores in a cohort of young, healthy men participating in sports. Concomitant with a project collecting MRI images of ankles and knees in normal young adults, HJHS scores were assessed in 30 healthy men aged 18-26, participating in sports one to three times per week. One physiotherapist assessed their clinical function using the HJHS 2.1. History of joint injuries was documented. MRI images were scored by a single radiologist, using the International Prophylaxis Study Group additive MRI score. Median age of the study group was 24.3 years (range 19.0-26.4) and median frequency of sports activities was three times per week (range 1-4). Six joints (five knees, one ankle) had a history of sports-related injury. The median overall HJHS score was 0 out of 124 (range 0-3), with 60% of subjects showing no abnormalities on HJHS. All joints were normal on MRI. These results suggest that frequent sports participation and related injuries are not related with abnormalities in HJHS scores.

  20. Classification Shell Game.

    ERIC Educational Resources Information Center

    Etzold, Carol

    1983-01-01

    Discusses shell classification exercises. Through keying students advanced from the "I know what a shell looks like" stage to become involved in the classification process: observing, labeling, making decisions about categories, and identifying marine animals. (Author/JN)

  1. Statistical Significance of Threading Scores

    PubMed Central

    Fayyaz Movaghar, Afshin; Launay, Guillaume; Schbath, Sophie; Gibrat, Jean-François

    2012-01-01

    Abstract We present a general method for assessing threading score significance. The threading score of a protein sequence, thread onto a given structure, should be compared with the threading score distribution of a random amino-acid sequence, of the same length, thread on the same structure; small p-values point significantly high scores. We claim that, due to general protein contact map properties, this reference distribution is a Weibull extreme value distribution whose parameters depend on the threading method, the structure, the length of the query and the random sequence simulation model used. These parameters can be estimated off-line with simulated sequence samples, for different sequence lengths. They can further be interpolated at the exact length of a query, enabling the quick computation of the p-value. PMID:22149633

  2. Formulas for Image Factor Scores

    ERIC Educational Resources Information Center

    Hakstian, A. Ralph

    1973-01-01

    Formulas are presented in this paper for computing scores associated with factors of G, the image covariance matrix, under three conditions. The subject of the paper is restricted to "pure" image analysis. (Author/NE)

  3. Disease scoring systems for oral lichen planus; a critical appraisal

    PubMed Central

    Wang, Jing

    2015-01-01

    The aim of the present study has been to critically review 22 disease scoring systems (DSSs) on oral lichen planus (OLP) that have been reported in the literature during the past decades. Although the presently available DSSs may all have some merit, particularly for research purposes, the diversity of both the objective and subjective parameters used in these systems and the lack of acceptance of one of these systems for uniform use, there is a need for an international, authorized consensus meeting on this subject. Because of the natural course of OLP characterized by remissions and exacerbations and also due to the varying distribution pattern and the varying clinical types, e.g. reticular and erosive, the relevance of a DSS based on morphologic parameters is somewhat questionable. Instead, one may consider to only look for a quality of life scoring system adapted for use in OLP patients. Key words:Oral lichen planus, disease scoring system, classification. PMID:25681372

  4. Artificial metaplasticity neural network applied to credit scoring.

    PubMed

    Marcano-Cedeño, Alexis; Marin-de-la-Barcena, A; Jimenez-Trillo, J; Piñuela, J A; Andina, D

    2011-08-01

    The assessment of the risk of default on credit is important for financial institutions. Different Artificial Neural Networks (ANN) have been suggested to tackle the credit scoring problem, however, the obtained error rates are often high. In the search for the best ANN algorithm for credit scoring, this paper contributes with the application of an ANN Training Algorithm inspired by the neurons' biological property of metaplasticity. This algorithm is especially efficient when few patterns of a class are available, or when information inherent to low probability events is crucial for a successful application, as weight updating is overemphasized in the less frequent activations than in the more frequent ones. Two well-known and readily available such as: Australia and German data sets has been used to test the algorithm. The results obtained by AMMLP shown have been superior to state-of-the-art classification algorithms in credit scoring.

  5. Customizing scoring functions for docking.

    PubMed

    Pham, Tuan A; Jain, Ajay N

    2008-05-01

    Empirical scoring functions used in protein-ligand docking calculations are typically trained on a dataset of complexes with known affinities with the aim of generalizing across different docking applications. We report a novel method of scoring-function optimization that supports the use of additional information to constrain scoring function parameters, which can be used to focus a scoring function's training towards a particular application, such as screening enrichment. The approach combines multiple instance learning, positive data in the form of ligands of protein binding sites of known and unknown affinity and binding geometry, and negative (decoy) data of ligands thought not to bind particular protein binding sites or known not to bind in particular geometries. Performance of the method for the Surflex-Dock scoring function is shown in cross-validation studies and in eight blind test cases. Tuned functions optimized with a sufficient amount of data exhibited either improved or undiminished screening performance relative to the original function across all eight complexes. Analysis of the changes to the scoring function suggest that modifications can be learned that are related to protein-specific features such as active-site mobility.

  6. Customizing scoring functions for docking

    NASA Astrophysics Data System (ADS)

    Pham, Tuan A.; Jain, Ajay N.

    2008-05-01

    Empirical scoring functions used in protein-ligand docking calculations are typically trained on a dataset of complexes with known affinities with the aim of generalizing across different docking applications. We report a novel method of scoring-function optimization that supports the use of additional information to constrain scoring function parameters, which can be used to focus a scoring function's training towards a particular application, such as screening enrichment. The approach combines multiple instance learning, positive data in the form of ligands of protein binding sites of known and unknown affinity and binding geometry, and negative (decoy) data of ligands thought not to bind particular protein binding sites or known not to bind in particular geometries. Performance of the method for the Surflex-Dock scoring function is shown in cross-validation studies and in eight blind test cases. Tuned functions optimized with a sufficient amount of data exhibited either improved or undiminished screening performance relative to the original function across all eight complexes. Analysis of the changes to the scoring function suggest that modifications can be learned that are related to protein-specific features such as active-site mobility.

  7. Prediction of complications after partial nephrectomy by RENAL nephrometry score

    PubMed Central

    Pillai, R; Parker, RA; Weston, J; Burgess, NA; Ho, ETS; Mills, RD; Rochester, MA

    2014-01-01

    Introduction Discussing and planning the appropriate management for suspicious renal masses can be challenging. With the development of nephrometry scoring methods, we aimed to evaluate the ability of the RENAL nephrometry score to predict both the incidence of postoperative complications and the change in renal function after a partial nephrectomy. Methods This was a retrospective study including 128 consecutive patients who underwent a partial nephrectomy (open and laparoscopic) for renal lesions in a tertiary UK referral centre. Univariate and multivariate ordinal regression models were used to identify associations between Clavien–Dindo classification and explanatory variables. The Kendall rank correlation coefficient was used to examine an association between RENAL nephrometry score and a drop in estimated glomerular filtration rate (eGFR) following surgery. Results An increase in the RENAL nephrometry score of one point resulted in greater odds of being in a higher Clavien–Dindo classification after controlling for RENAL suffix and type of surgical procedure (odds ratio [OR]: 1.29, 95% confidence interval [CI]: 1.04–1.64, p=0.043). Furthermore, a patient with the RENAL suffix ‘p’ (ie posterior location of tumour) had increased odds of developing more serious complications (OR: 2.60, 95% CI: 1.07–6.30, p=0.042). A correlation was shown between RENAL nephrometry score and postoperative drop in eGFR (Kendall’s tau coefficient -0.24, p=0.004). Conclusions To our knowledge, this is the first study that has shown the predictive ability of the RENAL nephrometry scoring system in a UK cohort both in terms of postoperative complications and change in renal function. PMID:25198982

  8. Classification of caregiving families according to the Family Caregivers' Appraisal Checklist.

    PubMed

    Horiguchi, Kazuko; Iwata, Noboru; Matsuda, Nobuko

    2013-04-05

    This study aimed to classify caregiving families according to the Family Caregivers' Appraisal Checklist (FACL; Horiguchi et al., 2012), which was originally developed to evaluate the probability of continuing caregiving. After nationwide targeting in Japan, the selected survey candidates included 1279 families utilizing domiciliary nursing services chosen by stratified two-stage sampling, and available data were obtained from 945 out of 1020 returned responses (return ratio: 79.8%). Scores for the seven components of FACL were cluster analyzed, and the following six clusters were extracted: Cluster A (12.8%) yielded high scores for all components; Cluster B (34.0%) yielded average scores; Cluster C (20.7%) scored mostly average but low for "quality of care service"; Cluster D (15.8%) showed relatively low scores for all components; Cluster E (11.4%) yielded low scores for all components except for "quality of care service" and "preparedness for emergencies"; and Cluster F (5.3%) scored significantly poorly for all components except for "preparedness for emergencies". Significant intercluster differences were observed for care recipient's age, the number of medical care, employment status, principal caregiver's subjective health, and the advice from family and friends. Caregiving duration was significantly associated with "positive appraisal of family caregiving", the number of medical care and the number of care types, and marginally with the level of care stipulated by the public long-term care insurance program (p < 0.07). Implications of classification of family type according to the FACL and the importance of positive appraisal of caregiving are discussed along with the future direction of use of the FACL.

  9. Bender-Gestalt developmental scores: predicting reading and mathematics achievement.

    PubMed

    Nielson, S; Sapp, G L

    1991-08-01

    This study examined the relative importance of perceptual-motor processes and intelligence in predicting reading and mathematics achievement of children of low birthweight. Subjects were two groups of 153 children, ages 6 to 12 years, of either low (3 lb. or below, n = 72) or normal birthweight (n = 81) who participated in a comparative study on sequelae of children of low birthweight. To examine the utility of the Bender-Gestalt test in predicting academic achievement, Bender developmental scores, WRAT reading and mathematics scores, and WISC-R Full Scale IQs from both groups were compared and then intercorrelated separately. The mean comparisons indicated that children of low birthweight scored significantly lower on both Bender scores and reading achievement and had lower IQs than those of normal birthweight. Bender scores also appeared to have more utility for predicting reading and mathematics achievement for children of low birthweight than for those of normal birthweight.

  10. Ligand Identification Scoring Algorithm (LISA)

    PubMed Central

    Zheng, Zheng; Merz, Kenneth M.

    2011-01-01

    A central problem in de novo drug design is determining the binding affinity of a ligand with a receptor. A new scoring algorithm is presented that estimates the binding affinity of a protein-ligand complex given a three-dimensional structure. The method, LISA (Ligand Identification Scoring Algorithm), uses an empirical scoring function to describe the binding free energy. Interaction terms have been designed to account for van der Waals (VDW) contacts, hydrogen bonding, desolvation effects and metal chelation to model the dissociation equilibrium constants using a linear model. Atom types have been introduced to differentiate the parameters for VDW, H-bonding interactions and metal chelation between different atom pairs. A training set of 492 protein-ligand complexes was selected for the fitting process. Different test sets have been examined to evaluate its ability to predict experimentally measured binding affinities. By comparing with other well known scoring functions, the results show that LISA has advantages over many existing scoring functions in simulating protein-ligand binding affinity, especially metalloprotein-ligand binding affinity. Artificial Neural Network (ANN) was also used in order to demonstrate that the energy terms in LISA are well designed and do not require extra cross terms. PMID:21561101

  11. Optimally combining propensity score subclasses.

    PubMed

    Rudolph, Kara E; Colson, K Ellicott; Stuart, Elizabeth A; Ahern, Jennifer

    2016-11-30

    Propensity score methods, such as subclassification, are a common approach to control for confounding when estimating causal effects in non-randomized studies. Propensity score subclassification groups individuals into subclasses based on their propensity score values. Effect estimates are obtained within each subclass and then combined by weighting by the proportion of observations in each subclass. Combining subclass-specific estimates by weighting by the inverse variance is a promising alternative approach; a similar strategy is used in meta-analysis for its efficiency. We use simulation to compare performance of each of the two methods while varying (i) the number of subclasses, (ii) extent of propensity score overlap between the treatment and control groups (i.e., positivity), (iii) incorporation of survey weighting, and (iv) presence of heterogeneous treatment effects across subclasses. Both methods perform well in the absence of positivity violations and with a constant treatment effect with weighting by the inverse variance performing slightly better. Weighting by the proportion in subclass performs better in the presence of heterogeneous treatment effects across subclasses. We apply these methods to an illustrative example estimating the effect of living in a disadvantaged neighborhood on risk of past-year anxiety and depressive disorders among U.S. urban adolescents. This example entails practical positivity violations but no evidence of treatment effect heterogeneity. In this case, weighting by the inverse variance when combining across propensity score subclasses results in more efficient estimates that ultimately change inference. Copyright © 2016 John Wiley & Sons, Ltd.

  12. Ligand Identification Scoring Algorithm (LISA).

    PubMed

    Zheng, Zheng; Merz, Kenneth M

    2011-06-27

    A central problem in de novo drug design is determining the binding affinity of a ligand with a receptor. A new scoring algorithm is presented that estimates the binding affinity of a protein-ligand complex given a three-dimensional structure. The method, LISA (Ligand Identification Scoring Algorithm), uses an empirical scoring function to describe the binding free energy. Interaction terms have been designed to account for van der Waals (VDW) contacts, hydrogen bonding, desolvation effects, and metal chelation to model the dissociation equilibrium constants using a linear model. Atom types have been introduced to differentiate the parameters for VDW, H-bonding interactions, and metal chelation between different atom pairs. A training set of 492 protein-ligand complexes was selected for the fitting process. Different test sets have been examined to evaluate its ability to predict experimentally measured binding affinities. By comparing with other well-known scoring functions, the results show that LISA has advantages over many existing scoring functions in simulating protein-ligand binding affinity, especially metalloprotein-ligand binding affinity. Artificial Neural Network (ANN) was also used in order to demonstrate that the energy terms in LISA are well designed and do not require extra cross terms.

  13. An optimal decisional space for the classification of Alzheimer's disease and mild cognitive impairment.

    PubMed

    Zhou, Qi; Goryawala, Mohammed; Cabrerizo, Mercedes; Wang, Jin; Barker, Warren; Loewenstein, David A; Duara, Ranjan; Adjouadi, Malek

    2014-08-01

    This paper proposes to combine MRI data with a neuropsychological test, mini-mental state examination (MMSE), as input to a multi-dimensional space for the classification of Alzheimer's disease (AD) and it's prodromal stages-mild cognitive impairment (MCI) including amnestic MCI (aMCI) and nonamnestic MCI (naMCI). The decisional space is constructed using those features deemed statistically significant through an elaborate feature selection and ranking mechanism. FreeSurfer was used to calculate 55 volumetric variables, which were then adjusted for intracranial volume, age and education. The classification results obtained using support vector machines are based on twofold cross validation of 50 independent and randomized runs. The study included 59 AD, 67 aMCI, 56 naMCI, and 127 cognitively normal (CN) subjects. The study shows that MMSE scores contain the most discriminative power of AD, aMCI, and naMCI. For AD versus CN, the two most discriminative volumetric variables (right hippocampus and left inferior lateral ventricle), when combined with MMSE scores, provided an average accuracy of 92.4% (sensitivity: 84.0%; specificity: 96.1%). MMSE scores are found to improve all classifications with accuracy increments of 8.2% and 12% for aMCI versus CN and naMCI versus CN, respectively. Results also show that brain atrophy is almost evenly seen on both sides of the brain for AD subjects, which is different from right-side dominance for aMCI and left-side dominance for naMCI. Furthermore, hippocampal atrophy is seen to be the most significant for aMCI, while Accumbens area and ventricle are most significant for naMCI.

  14. Wage and Test Score Dispersion: Some International Evidence.

    ERIC Educational Resources Information Center

    Bedard, Kelly; Ferrall, Christopher

    2003-01-01

    Compares the distribution of test scores at age 13 in 1964 and 1982 and wages later in life across 11 countries. Finds that wage dispersion later in life is never greater than test-score dispersion. For three countries (U.S., UK, and Japan), finds evidence of skill-biased changes in wage dispersion between the early 1970s and the late 1980s.…

  15. Endoscopic atrophic classification before and after H. pylori eradication is closely associated with histological atrophy and intestinal metaplasia

    PubMed Central

    Kodama, Masaaki; Okimoto, Tadayoshi; Ogawa, Ryo; Mizukami, Kazuhiro; Murakami, Kazunari

    2015-01-01

    Background and study aims: The relationship between endoscopic atrophy classification (EAC) and histological gastric atrophy and intestinal metaplasia (IM) was examined before and after Helicobacter pylori (H. pylori) eradication in order to evaluate the usefulness of EAC for detecting the risk of gastric cancer following eradication. Patients and methods: A total of 230 patients (137 males, 93 females; mean age: 58.0 ± 11.8 y) with successful eradication were enrolled. EAC score was defined as follows: C0(none): 0, C1: 1, C2: 2, C3: 3, O1: 4, O2: 5, and O3(severe): 6. Histological atrophy and IM score (0 to 3) from the antrum and the corpus were evaluated with updated Sydney system for histological atrophy and IM. Results: The mean EAC scores were 3.46 before eradication and 3.20 after eradication (P = 0.026). The mean atrophy scores before and after eradication were 1.45 and 0.92 at the antrum (P < 0.001) and 0.50 and 0.07 at the corpus (P < 0.001), respectively. The mean IM scores before and after eradication were 0.55 and 0.47 at the antrum (P = 0.154), and 0.09 and 0.05 at the corpus (P = 0.096), respectively. The histological atrophy scores showed significant improvement after eradication, while IM showed no significant change. The Mantel-Haenszel test for trend indicated there was a significant correlation between EAC and histological atrophy and IM, except antral atrophy after eradication. Conclusions: EAC exhibited a significant correlation between histological atrophy and IM, and represents a noninvasive classification method. EAC may be beneficial in evaluating the risk of gastric cancer after H. pylori eradication. PMID:26357676

  16. Applicability of Age-Based Hunting Regulations for African Leopards

    PubMed Central

    Balme, Guy Andrew; Hunter, Luke; Braczkowski, Alex Richard

    2012-01-01

    In species in which juvenile survival depends strongly on male tenure, excessive trophy hunting can artificially elevate male turnover and increase infanticide, potentially to unsustainable levels. Simulation models show that the likelihood of safe harvests can be improved by restricting offtakes to males old enough to have reared their first cohort of offspring to independence; in the case of African leopards, males were ≥7 years old. Here, we explore the applicability of an age-based approach for regulating trophy hunting of leopards. We conducted a structured survey comprising photographs of known-age leopards to assess the ability of wildlife practitioners to sex and age leopards. We also evaluated the utility of four phenotypic traits for use by trophy hunters to age male leopards in the field. Our logistic regression models showed that male leopard age affected the likelihood of survey respondents identifying the correct sex; notably, males <2 years were typically misidentified as females, while mature males (≥4 years) were sexed correctly. Mature male leopards were also more likely to be aged correctly, as were portrait photographs. Aging proficiency was also influenced by the profession of respondents, with hunters recording the lowest scores. A discriminant model including dewlap size, the condition of the ears, and the extent of facial scarring accurately discriminated among male leopard age classes. Model classification rates were considerably higher than the respective scores attained by survey respondents, implying that the aging ability of hunters could theoretically improve with appropriate training. Dewlap size was a particularly reliable indicator of males ≥7 years and a review of online trophy galleries suggested its wider utility as an aging criterion. Our study demonstrated that an age-based hunting approach is practically applicable for leopards. However, implementation would require major reform within the regulatory framework and the

  17. The APPLE Score – A Novel Score for the Prediction of Rhythm Outcomes after Repeat Catheter Ablation of Atrial Fibrillation

    PubMed Central

    Kornej, Jelena; Hindricks, Gerhard; Arya, Arash; Sommer, Philipp; Husser, Daniela; Bollmann, Andreas

    2017-01-01

    Background Arrhythmia recurrences after catheter ablation occur in up to 50% within one year but their prediction remains challenging. Recently, we developed a novel score for the prediction of rhythm outcomes after single AF ablation demonstrating superiority to other scores. The current study was performed to 1) prove the predictive value of the APPLE score in patients undergoing repeat AF ablation and 2) compare it with the CHADS2 and CHA2DS2-VASc scores. Methods Rhythm outcome between 3–12 months after AF ablation were documented. The APPLE score (one point for Age >65 years, Persistent AF, imPaired eGFR (<60 ml/min/1.73m2), LA diameter ≥43 mm, EF <50%) was calculated in every patient before procedure. Results 379 consecutive patients from The Leipzig Heart Center AF Ablation Registry (60±10 years, 65% male, 70% paroxysmal AF) undergoing repeat AF catheter ablation were included. Arrhythmia recurrences were observed in 133 patients (35%). While the CHADS2 (AUC 0.577, p = 0.037) and CHA2DS2-VASc scores (AUC 0.590, p = 0.015) demonstrated low predictive value, the APPLE score showed better prediction of arrhythmia recurrences (AUC 0.617, p = 0.002) than other scores (both p<0.001). Compared to patients with an APPLE score of 0, the risk (OR) for arrhythmia recurrences was 2.9, 3.0 and 6.0 (all p<0.01) for APPLE scores 1, 2, or ≥3, respectively. Conclusions The novel APPLE score is superior to the CHADS2 and CHA2DS2-VASc scores for prediction of rhythm outcomes after repeat AF catheter ablation. It may be helpful to identify patients with low, intermediate or high risk for recurrences after repeat procedure. PMID:28085921

  18. Finding Nearly Optimal GDT Scores

    PubMed Central

    Li, Shuai Cheng; Bu, Dongbo; Xu, Jinbo

    2011-01-01

    Abstract Global Distance Test (GDT) is one of the commonly accepted measures to assess the quality of predicted protein structures. Given a set of distance thresholds, GDT maximizes the percentage of superimposed (or matched) residue pairs under each threshold, and reports the average of these percentages as the final score. The computation of GDT score was conjectured to be NP-hard. All available methods are heuristic and do not guarantee the optimality of scores. These heuristic strategies usually result in underestimated GDT scores. Contrary to the conjecture, the problem can be solved exactly in polynomial time, albeit the method would be too slow for practical usage. In this paper we propose an efficient tool called OptGDT to obtain GDT scores with theoretically guaranteed accuracies. Denote ℓ as the number of matched residue pairs found by OptGDT for a given threshold d. Let ℓ′ be the optimal number of matched residues pairs for threshold d/(1 + ε), where ε is a parameter in our computation. OptGDT guarantees that ℓ ≥ ℓ′. We applied our tool to CASP8 (The eighth Critical Assessment of Structure Prediction Techniques) data. For 87.3% of the predicted models, better GDT scores are obtained when OptGDT is used. In some cases, the number of matched residue pairs were improved by at least 10%. The tool runs in time O(n3 log n/ε5) for a given threshold d and parameter ε. In the case of globular proteins, the tool can be improved to a randomized algorithm of O(n log2 n) runtime with probability at least 1 − O(1/n). Released under the GPL license and downloadable from http://bioinformatics.uwaterloo.ca/∼scli/OptGDT/. PMID:21554017

  19. Effects of two classification strategies on a Benthic Community Index for streams in the Northern Lakes and Forests Ecoregion

    USGS Publications Warehouse

    Butcher, Jason T.; Stewart, Paul M.; Simon, Thomas P.

    2003-01-01

    Ninety-four sites were used to analyze the effects of two different classification strategies on the Benthic Community Index (BCI). The first, a priori classification, reflected the wetland status of the streams; the second, a posteriori classification, used a bio-environmental analysis to select classification variables. Both classifications were examined by measuring classification strength and testing differences in metric values with respect to group membership. The a priori (wetland) classification strength (83.3%) was greater than the a posteriori (bio-environmental) classification strength (76.8%). Both classifications found one metric that had significant differences between groups. The original index was modified to reflect the wetland classification by re-calibrating the scoring criteria for percent Crustacea and Mollusca. A proposed refinement to the original Benthic Community Index is suggested. This study shows the importance of using hypothesis-driven classifications, as well as exploratory statistical analysis, to evaluate alternative ways to reveal environmental variability in biological assessment tools.

  20. MRF-ANN: a machine learning approach for automated ER scoring of breast cancer immunohistochemical images.

    PubMed

    Mungle, T; Tewary, S; DAS, D K; Arun, I; Basak, B; Agarwal, S; Ahmed, R; Chatterjee, S; Chakraborty, C

    2017-03-20

    Molecular pathology, especially immunohistochemistry, plays an important role in evaluating hormone receptor status along with diagnosis of breast cancer. Time-consumption and inter-/intraobserver variability are major hindrances for evaluating the receptor score. In view of this, the paper proposes an automated Allred Scoring methodology for estrogen receptor (ER). White balancing is used to normalize the colour image taking into consideration colour variation during staining in different labs. Markov random field model with expectation-maximization optimization is employed to segment the ER cells. The proposed segmentation methodology is found to have F-measure 0.95. Artificial neural network is subsequently used to obtain intensity-based score for ER cells, from pixel colour intensity features. Simultaneously, proportion score - percentage of ER positive cells is computed via cell counting. The final ER score is computed by adding intensity and proportion scores - a standard Allred scoring system followed by pathologists. The classification accuracy for classification of cells by classifier in terms of F-measure is 0.9626. The problem of subjective interobserver ability is addressed by quantifying ER score from two expert pathologist and proposed methodology. The intraclass correlation achieved is greater than 0.90. The study has potential advantage of assisting pathologist in decision making over manual procedure and could evolve as a part of automated decision support system with other receptor scoring/analysis procedure.

  1. A Seven-Year Follow-Up of Intelligence Test Scores of Foster Grandparents

    ERIC Educational Resources Information Center

    Troll, Lillian E.; And Others

    1976-01-01

    After seven years, a group (N=32) of originally nonemployed poverty-level older people (over 60) now employed as foster grandparents were retested with the WAIS. Three subtest scores showed stability and Digit Span showed a statistically significant drop. Neither age nor initial level of health or WAIS scores was related to test-score changes over…

  2. Security classification of information

    SciTech Connect

    Quist, A.S.

    1993-04-01

    This document is the second of a planned four-volume work that comprehensively discusses the security classification of information. The main focus of Volume 2 is on the principles for classification of information. Included herein are descriptions of the two major types of information that governments classify for national security reasons (subjective and objective information), guidance to use when determining whether information under consideration for classification is controlled by the government (a necessary requirement for classification to be effective), information disclosure risks and benefits (the benefits and costs of classification), standards to use when balancing information disclosure risks and benefits, guidance for assigning classification levels (Top Secret, Secret, or Confidential) to classified information, guidance for determining how long information should be classified (classification duration), classification of associations of information, classification of compilations of information, and principles for declassifying and downgrading information. Rules or principles of certain areas of our legal system (e.g., trade secret law) are sometimes mentioned to .provide added support to some of those classification principles.

  3. Recursive heuristic classification

    NASA Technical Reports Server (NTRS)

    Wilkins, David C.

    1994-01-01

    The author will describe a new problem-solving approach called recursive heuristic classification, whereby a subproblem of heuristic classification is itself formulated and solved by heuristic classification. This allows the construction of more knowledge-intensive classification programs in a way that yields a clean organization. Further, standard knowledge acquisition and learning techniques for heuristic classification can be used to create, refine, and maintain the knowledge base associated with the recursively called classification expert system. The method of recursive heuristic classification was used in the Minerva blackboard shell for heuristic classification. Minerva recursively calls itself every problem-solving cycle to solve the important blackboard scheduler task, which involves assigning a desirability rating to alternative problem-solving actions. Knowing these ratings is critical to the use of an expert system as a component of a critiquing or apprenticeship tutoring system. One innovation of this research is a method called dynamic heuristic classification, which allows selection among dynamically generated classification categories instead of requiring them to be prenumerated.

  4. A Bootstrap Procedure of Propensity Score Estimation

    ERIC Educational Resources Information Center

    Bai, Haiyan

    2013-01-01

    Propensity score estimation plays a fundamental role in propensity score matching for reducing group selection bias in observational data. To increase the accuracy of propensity score estimation, the author developed a bootstrap propensity score. The commonly used propensity score matching methods: nearest neighbor matching, caliper matching, and…

  5. 24 CFR 902.63 - PHAS scoring.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... four PHAS indicators in this part will be scored individually, and then will be used to determine an overall score for the PHA. Components within each of the four PHAS indicators will be scored individually... indicators. (b) Adjustments to the PHAS score. (1) Adjustments to the score may be made after a PHA's...

  6. Estimating Decision Indices Based on Composite Scores

    ERIC Educational Resources Information Center

    Knupp, Tawnya Lee

    2009-01-01

    The purpose of this study was to develop an IRT model that would enable the estimation of decision indices based on composite scores. The composite scores, defined as a combination of unidimensional test scores, were either a total raw score or an average scale score. Additionally, estimation methods for the normal and compound multinomial models…

  7. Turning Merit Scores into Salaries.

    ERIC Educational Resources Information Center

    Becker, William E.

    1999-01-01

    Provides a single formula for merit-raise salary schemes based on either a fixed cash amount, a percentage of base salary, or any combination of the two. Explains that the formula makes explicit how merit scores, together with prior salaries and the money available for raises, determine individual salaries. (CMK)

  8. Developing Scoring Algorithms (Earlier Methods)

    Cancer.gov

    We developed scoring procedures to convert screener responses to estimates of individual dietary intake for fruits and vegetables, dairy, added sugars, whole grains, fiber, and calcium using the What We Eat in America 24-hour dietary recall data from the 2003-2006 NHANES.

  9. Weighting Regressions by Propensity Scores

    ERIC Educational Resources Information Center

    Freedman, David A.; Berk, Richard A.

    2008-01-01

    Regressions can be weighted by propensity scores in order to reduce bias. However, weighting is likely to increase random error in the estimates, and to bias the estimated standard errors downward, even when selection mechanisms are well understood. Moreover, in some cases, weighting will increase the bias in estimated causal parameters. If…

  10. Triage of OCR results using confidence scores

    NASA Astrophysics Data System (ADS)

    Sarkar, Prateek; Baird, Henry S.; Henderson, John

    2001-12-01

    We describe a technique for modeling the character recognition accuracy of an OCR system -- treated as a black box -- on a particular page of printed text based on an examination only of the output top-choice character classifications and, for each, a confidence score such as is supplied by many commercial OCR systems. Latent conditional independence (LCI) models perform better on this task, in our experience, than naive uniform thresholding methods. Given a sufficiently large and representative dataset of OCR (errorful) output and manually proofed (correct) text, we can automatically infer LCI models that exhibit a useful degree of reliability. A collaboration between a PARC research group and a Xerox legacy conversion service bureau has demonstrated that such models can significantly improve the productivity of human proofing staff by triaging -- that is, selecting to bypass manual inspection -- pages whose estimated OCR accuracy exceeds a threshold chosen to ensure that a customer-specified per-page accuracy target will be met with sufficient confidence. We report experimental results on over 1400 pages. Our triage software tools are running in production and will be applied to more than 5 million pages of multi-lingual text.

  11. Comparison between Dichotomous and Polytomous Scoring of Innovative Items in a Large-Scale Computerized Adaptive Test

    ERIC Educational Resources Information Center

    Jiao, Hong; Liu, Junhui; Haynie, Kathleen; Woo, Ada; Gorham, Jerry

    2012-01-01

    This study explored the impact of partial credit scoring of one type of innovative items (multiple-response items) in a computerized adaptive version of a large-scale licensure pretest and operational test settings. The impacts of partial credit scoring on the estimation of the ability parameters and classification decisions in operational test…

  12. Classification of Stellar Spectra

    NASA Astrophysics Data System (ADS)

    Garrison, R.; Murdin, P.

    2000-11-01

    How does a scientist approach the problem of trying to understand countless billions of objects? One of the first steps is to organize the data and set up a classification scheme which can provide the best insights into the nature of the objects. Perception and insight are the main purposes of classification. In astronomy, where there are `billions and billions' of stars, classification is an ong...

  13. Classiology and soil classification

    NASA Astrophysics Data System (ADS)

    Rozhkov, V. A.

    2012-03-01

    Classiology can be defined as a science studying the principles and rules of classification of objects of any nature. The development of the theory of classification and the particular methods for classifying objects are the main challenges of classiology; to a certain extent, they are close to the challenges of pattern recognition. The methodology of classiology integrates a wide range of methods and approaches: from expert judgment to formal logic, multivariate statistics, and informatics. Soil classification assumes generalization of available data and practical experience, formalization of our notions about soils, and their representation in the form of an information system. As an information system, soil classification is designed to predict the maximum number of a soil's properties from the position of this soil in the classification space. The existing soil classification systems do not completely satisfy the principles of classiology. The violation of logical basis, poor structuring, low integrity, and inadequate level of formalization make these systems verbal schemes rather than classification systems sensu stricto. The concept of classification as listing (enumeration) of objects makes it possible to introduce the notion of the information base of classification. For soil objects, this is the database of soil indices (properties) that might be applied for generating target-oriented soil classification system. Mathematical methods enlarge the prognostic capacity of classification systems; they can be applied to assess the quality of these systems and to recognize new soil objects to be included in the existing systems. The application of particular principles and rules of classiology for soil classification purposes is discussed in this paper.

  14. Retrospective observational study comparing the international hip dysplasia institute classification with the Tonnis classification of developmental dysplasia of the hip

    PubMed Central

    Miao, Mingyuan; Cai, Haiqing; Hu, Liwei; Wang, Zhigang

    2017-01-01

    Abstract The Tonnis radiographic classification of developmental dysplasia of the hip (DDH) has been widely used. The International Hip Dysplasia Institute (IHDI) classification, a new classification system recently developed by the IHDI, is beginning to be applied to evaluate DDH with the absence of an ossification center. This study aimed to validate its reliability in evaluating DDH with an ossification center and compared the 2 classifications in evaluating all DDH hips. In addition, the prediction values of the 2 classifications on clinical management selection were compared. In total, the pelvic radiographs of 212 DDH patients (318 hips) between the ages of 6 and 48 months admitted to Shanghai Children's Medical Center between 2007 and 2014 were assessed by 3 observers retrospectively using the 2 classifications. Intraobserver and interobserver agreements were evaluated using the kappa method. We also assessed the correlation of the 2 radiographic classifications in terms of treatment selection. In total, 216 hips received closed reduction, 61 hips received open reduction, and 41 hips received pelvic osteotomy. Both classifications showed excellent intraobserver and interobserver reliability. However, the IHDI demonstrated more interobserver reliability, especially for evaluating DDH without an ossification center. Both classifications were found to be relevant in detecting the DDH treatment type (P < 0.01). The Tonnis classification was also relevant, especially for evaluating DDH with an ossification center. The IHDI classification exhibited good practicability in classifying the radiographic severity of DDH compared to the Tonnis classification, particularly in hips without an ossification center. Like the Tonnis classification, the IHDI classification can predict treatment plans. Therefore, the IHDI classification seems to be the upgraded version of the Tonnis classification. PMID:28099350

  15. Oxford classification of IgA nephropathy and C4d deposition; correlation and its implication.

    PubMed

    Rath, Ashutosh; Tewari, Rohit; Mendonca, Satish; Badwal, Sonia; Nijhawan, Vijay Shrawan

    2016-01-01

    Introduction: IgA nephropathy (IgAN) is well known to be the most common form of primary glomerulonephritis throughout the world. The histopathological changes are wide and varied as brought out by the various classification systems like the Haas and Oxford systems. C4d is a well-known biomarker of the complement cascade and has recently been implicated in certain native renal diseases. We attempted to characterize C4d deposition in IgAN and correlate this with histopathology by the Oxford classification system. Patients and Methods: This retrospective study included renal biopsies of 15 cases of IgAN diagnosed on histopathology and immunofluorescence over a period of 2 years. Demographic parameters of age and sex were reviewed. The Oxford classification system was applied to score the cases and immunohistochemistry for C4d was done on all cases to characterize staining pattern and intensity and was correlated with Oxford classification. Results: On histological examination, the cases showed various combinations of lesions ranging from M0E0S0T0 to M1E1S1T1. C4d deposition was found to be occurring mainly in mesangial location (12/15 cases, 80%). Forty percent cases showed C4d deposition in the glomerular capillary walls in a segmental fashion and 26.67% showed global pattern. Other patterns of deposition were arteriolar (53.33%), in peritubular capillaries (26.67%) and in tubular epithelium (20%). Conclusion: On comparing the various patterns of deposition of C4d with the four variables of the Oxford classification system, we found that segmental and global deposition of C4d correlated best with endocapillary proliferation.

  16. Reporting rotator cuff tears on magnetic resonance arthrography using the Snyder’s arthroscopic classification

    PubMed Central

    Aliprandi, Alberto; Messina, Carmelo; Arrigoni, Paolo; Bandirali, Michele; Di Leo, Giovanni; Longo, Stefano; Magnani, Sandro; Mattiuz, Chiara; Randelli, Filippo; Sdao, Silvana; Sardanelli, Francesco; Sconfienza, Luca Maria; Randelli, Pietro

    2017-01-01

    AIM To determine diagnostic performance of magnetic resonance arthrography (MRA) in evaluating rotator cuff tears (RCTs) using Snyder’s classification for reporting. METHODS One hundred and twenty-six patients (64 males, 62 females; median age 55 years) underwent shoulder MRA and arthroscopy, which represented our reference standard. Surgical arthroscopic reports were reviewed and the reported Snyder’s classification was recorded. MRA examinations were evaluated by two independent radiologists (14 and 5 years’ experience) using Snyder’s classification system, blinded to arthroscopy. Agreement between arthroscopy and MRA on partial- and full-thickness tears was calculated, first regardless of their extent. Then, analysis took into account also the extent of the tear. Interobserver agreement was also calculated the quadratically-weighted Cohen kappa statistics. RESULTS On arthroscopy, 71/126 patients (56%) had a full-thickness RCT. The remaining 55/126 patients (44%) had a partial-thickness RCT. Regardless of tear extent, out of 71 patients with arthroscopically-confirmed full-thickness RCTs, 66 (93%) were correctly scored by both readers. All 55 patients with arthroscopic diagnosis of partial-thickness RCT were correctly assigned as having a partial-thickness RCT at MRA by both readers. Interobserver reproducibility analysis showed total agreement between the two readers in distinguishing partial-thickness from full-thickness RCTs, regardless of tear extent (k = 1.000). With regard to tear extent, in patients in whom a complete tear was correctly diagnosed, correct tear extent was detected in 61/66 cases (92%); in the remaining 5/66 cases (8%), tear extent was underestimated. Agreement was k = 0.955. Interobserver agreement was total (k = 1.000). CONCLUSION MRA shows high diagnostic accuracy and reproducibility in evaluating RCTs using the Snyder’s classification for reporting. Snyder’s classification may be adopted for routine reporting of MRA.

  17. Molecular Classification of Medulloblastoma

    PubMed Central

    KIJIMA, Noriyuki; KANEMURA, Yonehiro

    2016-01-01

    Medulloblastoma (MB) is one of the most frequent malignant brain tumors in children. The current standard treatment regimen consists of surgical resection, craniospinal irradiation, and adjuvant chemotherapy. Although these treatments have the potential to increase the survival of 70–80% of patients with MB, they are also associated with serious treatment-induced morbidity. The current risk stratification of MB is based on clinical factors, including age at presentation, metastatic status, and the presence of residual tumor following resection. In addition, recent genomic studies indicate that MB consists of at least four distinct molecular subgroups: WNT, sonic hedgehog (SHH), Group 3, and Group 4. WNT and SHH MBs are characterized by aberrations in the WNT and SHH signaling pathways, respectively. WNT MB has the best prognosis compared to the other MBs, while SHH MB has an intermediate prognosis. The underlying signaling pathways associated with Group 3 and 4 MBs have not been identified. Group 3 MB is frequently associated with metastasis, resulting in a poor prognosis, while Group 4 is sometimes associated with metastasis and has an intermediate prognosis. Group 4 is the most frequent MB and represents 35% of all MBs. These findings suggest that MB is a heterogeneous disease, and that MB subgroups have distinct molecular, demographic, and clinical characteristics. The molecular classification of MBs is redefining the risk stratification of patients with MB, and has the potential to identify new therapeutic strategies for the treatment of MB. PMID:27238212

  18. Relationships between Scores of Gifted Children on the Stanford-Binet IV and Woodcock-Johnson Tests of Achievement.

    ERIC Educational Resources Information Center

    Carvajal, Howard; And Others

    1989-01-01

    Forty-five gifted children, ages 11-17, were tested with the Stanford-Binet Intelligence Scale and the Woodcock-Johnson Tests of Achievement. Results indicated 18 of 20 correlations between the area and composite scores were significant. The Stanford-Binet Short-Term Memory standard age score mean was lower than other scores' means. (Author/JDD)

  19. Stability and Change in the Cognitive and Adaptive Behaviour Scores of Preschoolers with Autism Spectrum Disorder

    ERIC Educational Resources Information Center

    Flanagan, Helen E.; Smith, Isabel M.; Vaillancourt, Tracy; Duku, Eric; Szatmari, Peter; Bryson, Susan; Fombonne, Eric; Mirenda, Pat; Roberts, Wendy; Volden, Joanne; Waddell, Charlotte; Zwaigenbaum, Lonnie; Bennett, Teresa; Elsabbagh, Mayada; Georgiades, Stelios

    2015-01-01

    We examined the stability of cognitive and adaptive behaviour standard scores in children with autism spectrum disorder (ASD) between diagnosis and school entry approximately age 6. IQ increased 18 points in 2-year-olds, 12 points in 3-year-olds, and 9 points in 4-year-olds (N = 281). Adaptive behaviour scores increased 4 points across age groups…

  20. Personality scores and smoking behaviour. A longitudinal study.

    PubMed Central

    Cherry, N; Kiernan, K

    1976-01-01

    The personality scores at 16 years of age of 2753 people, all members of the National Survey of Health and Development, were related, in a follow-up study, to cigarette smoking behaviour in their young adult years. Survey members who recorded high neuroticism scores were found to be more likely to smoke than those with low scores and, among the smokers, deep inhalers formed the most neurotic group. Extraverts were more likely to smoke than introverts, the mean extraversion score being greatest for the male smokers with a high daily consumption of cigarettes. The personality scores were found to have some power in predicting changes in smoking behaviour. Neurotics and extraverts who had not started to smoke by the time of completing the personality inventory at 16 were more likely than the stable and introverted to take up the habit subsequently. Among survey members who were regular smokers at the time of completing the personality inventory the proportion giving up smoking by the time they reached the age of 25 years was related to consumption level recorded at 20 years and the personality scores recorded at 16, stable extraverts among the men being most likely to stop smoking. PMID:953376

  1. The Southampton Dupuytren's Scoring Scheme.

    PubMed

    Mohan, Arvind; Vadher, Jane; Ismail, Hiba; Warwick, David

    2014-02-01

    The aim of this study was to construct and validate a simple patient-related outcome score to quantify the disability caused by Dupuytren's disease (DD), thus enabling prioritisation of treatment, to allow reliable audit of surgical outcome and to support future research. The Southampton Dupuytren's Scoring System (SDSS) was developed in a staged fashion according to the recommendations of The Derby Outcomes Conference. (1) Item generation; (2) Item reduction; (3) Internal consistency; (4) Test-re-test; (5) Field management; (6) Sensitivity to change standardised response mean; and (7) Criterion validity: ability of the SDSS to measure what it is supposed to measure. Internal consistency measured with Cronbach's alpha indicated acceptable reliability. The test-re-test correlation coefficient showed high reliability with SDSS. Field-testing showed SDSS ratings to be higher than the QuickDASH (Disability of the arm, shoulder and hand) ratings evaluated by the patients who answered both questionnaires. Standardised response mean was more sensitive for SDSS compared with QuickDASH showing sensitivity to change. Criterion validity was used to assess if the SDSS was measuring what it is supposed to measure comparing the SDSS with QuickDASH. A highly significant correlation was found between the two scoring systems. SDSS is a disease-specific patient-related outcome measure with a good internal consistency and performs better than QuickDASH in terms of test-re-test reliability and sensitivity to change. SDSS shows better field-testing attributes suggesting that it is a relatively more patient and practitioner friendly scoring system. This study proposes to the SDSS is a useful patient-related outcome measure for DD.

  2. Therapeutic implications of selecting the SCORE (European) versus the D'AGOSTINO (American) risk charts for cardiovascular risk assessment in hypertensive patients

    PubMed Central

    Gómez-Marcos, Manuel A; Martínez-Salgado, Carlos; Martin-Cantera, Carlos; Recio-Rodríguez, José I; Castaño-Sánchez, Yolanda; Giné-Garriga, Maria; Rodriguez-Sanchez, Emiliano; García-Ortiz, Luis

    2009-01-01

    Background No comparisons have been made of scales estimating cardiovascular mortality and overall cardiovascular morbidity and mortality. The study objectives were to assess the agreement between the Framingham-D'Agostino cardiovascular risk (CVR) scale and the chart currently recommended in Europe (SCORE) with regard to identification of patients with high CVR, and to describe the discrepancies between them and the attendant implications for the treatment of hypertension and hyperlipidaemia. Methods A total of 474 hypertensive patients aged 40–65 years monitored in primary care were enrolled into the study. CVR was assessed using the Framingham-D'Agostino scale, which estimates the overall cardiovascular morbidity and mortality risk, and the SCORE chart, which estimates the cardiovascular mortality risk. Cardiovascular risk was considered to be high for values ≥ 20% and ≥ 5% according to the Framingham-D'Agostino and SCORE charts respectively. Kappa statistics was estimated for agreement in classification of patients with high CVR. The therapeutic recommendations in the 2007 European Guidelines on Cardiovascular Disease Prevention were followed. Results Mean patient age was 54.1 (SD 7.3), and 58.4% were males. A high CVR was found in 17.5% using the SCORE chart (25.3% males, 6.6% females) and in 32.7% using the D'Agostino method (56.9% males, 12,7% females). Kappa coefficient was 0.52, and increased to 0.68 when the high CVR threshold was established at 29% according to D'Agostino. Hypertensive patients with high SCORE and non-high D'Agostino (1.7%) were characterized by an older age, diabetes, and a lower atherogenic index, while the opposite situation (16.9%) was associated to males, hyperlipidaemia, and a higher atherogenic index. Variables with a greater weight in discrepancies were sex and smoking. A 32.0% according to SCORE and 33.5% according to D'Agostino would be candidates to receive antihypertensive treatment, and 15.8% and 27.3% respectively to

  3. Predicting animal attachment from hypnotizability, absorption, and dissociation scores.

    PubMed

    Green, Joseph P; Green, Emily S

    2010-01-01

    Using a sample of nearly 300 undergraduate students, we examined whether absorption, dissociation, and hypnotizability were linked with pet attachment, and whether completing assessment scales in the same or different testing contexts affected the association. We found a positive correlation between scores on the Tellegen Absorption Scale (TAS; Tellegen & Atkinson, 1974) and the Companion Animal Bonding Scale (CABS; Poresky, Hendrix, & Mosier, 1987), but failed to find a positive link between animal attachment and scores on the Dissociative Experiences Scale (DES; Bernstein & Putnam, 1986). We observed a small positive correlation between Harvard Group Scale of Hypnotic Susceptibility, Form A (HGSHS:A; Shor & Orne, 1962) scores and animal attachment among our female participants. Collectively, absorption, dissociation, hypnotizability, age, gender, years owning a pet, and the testing context accounted for no more than 16% of the variance in CABS scores.

  4. Neurointerventional Treatment in Acute Stroke. Whom to Treat? (Endovascular Treatment for Acute Stroke: Utility of THRIVE Score and HIAT Score for Patient Selection)

    SciTech Connect

    Fjetland, Lars Roy, Sumit Kurz, Kathinka D.; Solbakken, Tore; Larsen, Jan Petter Kurz, Martin W.

    2013-10-15

    Purpose: Intra-arterial therapy (IAT) is used increasingly as a treatment option for acute stroke caused by central large vessel occlusions. Despite high rates of recanalization, the clinical outcome is highly variable. The authors evaluated the Houston IAT (HIAT) and the totaled health risks in vascular events (THRIVE) score, two predicting scores designed to identify patients likely to benefit from IAT. Methods: Fifty-two patients treated at the Stavanger University Hospital with IAT from May 2009 to June 2012 were included in this study. We combined the scores in an additional analysis. We also performed an additional analysis according to high age and evaluated the scores in respect of technical efficacy. Results: Fifty-two patients were evaluated by the THRIVE score and 51 by the HIAT score. We found a strong correlation between the level of predicted risk and the actual clinical outcome (THRIVE p = 0.002, HIAT p = 0.003). The correlations were limited to patients successfully recanalized and to patients <80 years. By combining the scores additional 14.3 % of the patients could be identified as poor candidates for IAT. Both scores were insufficient to identify patients with a good clinical outcome. Conclusions: Both scores showed a strong correlation to poor clinical outcome in patients <80 years. The specificity of the scores could be enhanced by combining them. Both scores were insufficient to identify patients with a good clinical outcome and showed no association to clinical outcome in patients aged {>=}80 years.

  5. Multilayer Perceptrons for Classification

    DTIC Science & Technology

    1992-03-01

    retention/ separation rates fu, input to force projection models. The second application concerns the classification of Armor Piercing Incendiary (API...Air Force pilot reten- tion/ separation rates for input to force projection models. The second application concerns the classification of Armor...methodologies for predicting pilot retention/ separation rates for input to personnel inventory projection models were e::plored. Specifically, the multilayer

  6. Prognostic Value of Gai's Plaque Score and Agatston Coronary Artery Calcium Score for Functionally Significant Coronary Artery Stenosis

    PubMed Central

    Zhang, Chuang; Yang, Shuang; Gai, Lu-Yue; Han, Zhi-Qi; Xin, Qian; Yang, Xiao-Bo; Yang, Jun-Jie; Jin, Qin-Hua

    2016-01-01

    Background: The prognostic values of the coronary computed tomography angiography (CCTA) score for predicting future cardiovascular events have been previously demonstrated in numerous studies. However, few studies have used the rich information available from CCTA to detect functionally significant coronary lesions. We sought to compare the prognostic values of Gai's plaque score and the coronary artery calcium score (CACS) of CCTA for predicting functionally significant coronary lesions, using fractional flow reserve (FFR) as the gold standard. Methods: We retrospectively analyzed 107 visually assessed significant coronary lesions in 88 patients (mean age, 59.6 ± 10.2 years; 76.14% of males) who underwent CCTA, invasive coronary angiography, and invasive FFR measurement. An FFR <0.80 indicated hemodynamically significant coronary stenosis. Lesions were divided into two groups using an FFR cutoff value of 0.80. We compared Gai's plaque scores and CACS between the two groups and evaluated the correlations of these scores with FFR. The statistical methods included unpaired t-test, Mann-Whitney U-test, and Spearman's correlation coefficients. Results: Coronary lesions with FFR <0.80 had higher Gai's scores than those with FFR ≥0.80. Gai's score had the strongest correlation with FFR (r = −0.48, P < 0.01) and had a greater area under the curve = 0.72 (95% confidence interval: 0.61–0.82; P < 0.01) than the CACS of whole arteries and a single artery. Conclusions: Both CACS in a single artery and Gai's plaque score demonstrated a good capacity to assess functionally significant coronary artery stenosis when compared to the gold standard FFR. However, Gai's plaque score was more predictive of FFR <0.80. Gai's score can be easily calculated in daily clinical practice and could be used when considering revascularization. PMID:27900990

  7. The Autism Diagnostic Observation Schedule, Toddler Module: Standardized Severity Scores

    PubMed Central

    Esler, Amy N.; Bal, Vanessa Hus; Guthrie, Whitney; Wetherby, Amy; Weismer, Susan Ellis; Lord, Catherine

    2016-01-01

    Standardized calibrated severity scores (CSS) have been created for Autism Diagnostic Observation Schedule, 2nd edition (ADOS-2) Modules 1–4 as a metric of the relative severity of autism-specific behaviors. Total and domain CSS were created for the Toddler Module to facilitate comparison to other modules. Analyses included 388 children with ASD age 12 to 30 months and were replicated on 435 repeated assessments from 127 children with ASD. Compared to raw scores, associations between total and domain CSS and participant characteristics were reduced in the original sample. Verbal IQ effects on Social Affect-CSS were not reduced in the replication sample. Toddler Module CSS increases comparability of ADOS-2 scores across modules and allows studies of symptom trajectories to extend to earlier ages. PMID:25832801

  8. Challenges in prosthesis classification.

    PubMed

    Robertsson, Otto; Mendenhall, Stan; Paxton, Elizabeth W; Inacio, Maria C S; Graves, Stephen

    2011-12-21

    Accurate prosthesis classification is critical for total joint arthroplasty surveillance and assessment of comparative effectiveness. Historically, prosthesis classification was based solely on the names of the prosthesis manufacturers. As a result, prosthesis designs changed without corresponding name changes, and other prostheses' names changed over time without substantial design modifications. As the number of prostheses used in total joint arthroplasty on the market increased, catalog and lot numbers associated with prosthesis descriptions were introduced by manufacturers. Currently, these catalog and lot numbers are not standardized, and there is no consensus on categorization of these numbers into brands or subbrands. Classification of the attributes of a prosthesis also varies, limiting comparisons of prostheses across studies and reports. The development of a universal prosthesis classification system would standardize prosthesis classification and enhance total joint arthroplasty research collaboration worldwide. This is a current area of focus for the International Consortium of Orthopaedic Registries (ICOR).

  9. DOE LLW classification rationale

    SciTech Connect

    Flores, A.Y.

    1991-09-16

    This report was about the rationale which the US Department of Energy had with low-level radioactive waste (LLW) classification. It is based on the Nuclear Regulatory Commission`s classification system. DOE site operators met to review the qualifications and characteristics of the classification systems. They evaluated performance objectives, developed waste classification tables, and compiled dose limits on the waste. A goal of the LLW classification system was to allow each disposal site the freedom to develop limits to radionuclide inventories and concentrations according to its own site-specific characteristics. This goal was achieved with the adoption of a performance objectives system based on a performance assessment, with site-specific environmental conditions and engineered disposal systems.

  10. DOE LLW classification rationale

    SciTech Connect

    Flores, A.Y.

    1991-09-16

    This report was about the rationale which the US Department of Energy had with low-level radioactive waste (LLW) classification. It is based on the Nuclear Regulatory Commission's classification system. DOE site operators met to review the qualifications and characteristics of the classification systems. They evaluated performance objectives, developed waste classification tables, and compiled dose limits on the waste. A goal of the LLW classification system was to allow each disposal site the freedom to develop limits to radionuclide inventories and concentrations according to its own site-specific characteristics. This goal was achieved with the adoption of a performance objectives system based on a performance assessment, with site-specific environmental conditions and engineered disposal systems.

  11. Functional movement screen scores in a group of running athletes.

    PubMed

    Loudon, Janice K; Parkerson-Mitchell, Amy J; Hildebrand, Laurie D; Teague, Connie

    2014-04-01

    The purpose of this study was to determine the mean values of the functional movement screen (FMS) in a group of long-distance runners. The secondary aims were to investigate whether the FMS performance differed between sexes and between young and older runners. Forty-three runners, 16 women (mean age = 33.5 years, height = 165.2 cm, weight = 56.3 kg, and body mass index [BMI] = 20.6) and 27 men (mean age = 39.3 years, height = 177.6 cm, weight = 75.8 kg, and BMI = 24.2) performed the FMS. All the runners were injury-free and ran >30 km·wk. Independent t-tests were performed on the composite scores to examine the differences between men and women and also between young (<40 years) and older runners (>40 years). Contingency tables (2 × 2) were developed for each of the 7 screening tests to further look at the differences in groups for each single test. The χ values were calculated to determine significant differences. Statistical significance was set at p ≤ 0.05. There was no significant difference in the composite score between women and men. There were significant differences between the sexes in the push-up and straight leg test scores, with the women scoring better on each test. A significant difference was found in the composite scores between younger and older runners (p < 0.000). Additional score differences were found for the squat, hurdle step, and in-line lunge tests with the younger runners scoring better. This study provided mean values for the FMS in a cohort of long-distance runners. These values can be used as a reference for comparing FMST scores in other runners who are screened with this tool.

  12. Endogeneity in prison risk classification.

    PubMed

    Shermer, Lauren O'Neill; Bierie, David M; Stock, Amber

    2013-10-01

    Security designation tools are a key feature of all prisons in the United States, intended as objective measures of risk that funnel inmates into security levels-to prison environments varying in degree of intrusiveness, restriction, dangerousness, and cost. These tools are mostly (if not all) validated by measuring inmates on a set of characteristics, using scores from summations of that information to assign inmates to prisons of varying security level, and then observing whether inmates assumed more risky did in fact offend more. That approach leaves open the possibility of endogeneity--that the harsher prisons are themselves bringing about higher misconduct and thus biasing coefficients assessing individual risk. The current study assesses this potential bias by following an entry cohort of inmates to more than 100 facilities in the Federal Bureau of Prisons (BOP) and exploiting the substantial variation in classification scores within a given prison that derive from systematic overrides of security-level designations for reasons not associated with risk of misconduct. By estimating pooled models of misconduct along with prison-fixed effects specifications, the data show that a portion of the predictive accuracy thought associated with the risk-designation tool used in BOP was a function of facility-level contamination (endogeneity).

  13. Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) processing speed scores as measures of noncredible responding: The third generation of embedded performance validity indicators.

    PubMed

    Erdodi, Laszlo A; Abeare, Christopher A; Lichtenstein, Jonathan D; Tyson, Bradley T; Kucharski, Brittany; Zuccato, Brandon G; Roth, Robert M

    2017-02-01

    Research suggests that select processing speed measures can also serve as embedded validity indicators (EVIs). The present study examined the diagnostic utility of Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) subtests as EVIs in a mixed clinical sample of 205 patients medically referred for neuropsychological assessment (53.3% female, mean age = 45.1). Classification accuracy was calculated against 3 composite measures of performance validity as criterion variables. A PSI ≤79 produced a good combination of sensitivity (.23-.56) and specificity (.92-.98). A Coding scaled score ≤5 resulted in good specificity (.94-1.00), but low and variable sensitivity (.04-.28). A Symbol Search scaled score ≤6 achieved a good balance between sensitivity (.38-.64) and specificity (.88-.93). A Coding-Symbol Search scaled score difference ≥5 produced adequate specificity (.89-.91) but consistently low sensitivity (.08-.12). A 2-tailed cutoff on the Coding/Symbol Search raw score ratio (≤1.41 or ≥3.57) produced acceptable specificity (.87-.93), but low sensitivity (.15-.24). Failing ≥2 of these EVIs produced variable specificity (.81-.93) and sensitivity (.31-.59). Failing ≥3 of these EVIs stabilized specificity (.89-.94) at a small cost to sensitivity (.23-.53). Results suggest that processing speed based EVIs have the potential to provide a cost-effective and expedient method for evaluating the validity of cognitive data. Given their generally low and variable sensitivity, however, they should not be used in isolation to determine the credibility of a given response set. They also produced unacceptably high rates of false positive errors in patients with moderate-to-severe head injury. Combining evidence from multiple EVIs has the potential to improve overall classification accuracy. (PsycINFO Database Record

  14. An Optimizing Weight For Wrong Scores.

    ERIC Educational Resources Information Center

    Donlon, Thomas F.

    This study empirically determined the optimizing weight to be applied to the Wrongs Total Score in scoring rubrics of the general form = R - kW, where S is the Score, R the Rights Total, k the weight and W the Wrongs Total, if reliability is to be maximized. As is well known, the traditional formula score rests on a theoretical framework which is…

  15. 34 CFR 668.147 - Passing scores.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 34 Education 3 2010-07-01 2010-07-01 false Passing scores. 668.147 Section 668.147 Education...; Specification of Passing Score; Approval of State Process § 668.147 Passing scores. Except as provided in §§ 668... education and training offered, the Secretary specifies that the passing score on each approved test is...

  16. High Agatston Calcium Score of Intracranial Carotid Artery

    PubMed Central

    Kao, Hung-Wen; Liou, Michelle; Chung, Hsiao-Wen; Liu, Hua-Shan; Tsai, Ping-Huei; Chiang, Shih-Wei; Chou, Ming-Chung; Peng, Giia-Sheun; Huang, Guo-Shu; Hsu, Hsian-He; Chen, Cheng-Yu

    2015-01-01

    Abstract The effect of intracranial internal carotid artery (ICA) calcification on cognitive impairment is uncertain. Our objective was to investigate whether intracranial ICA calcification is a significant cognitive predictor for cognitive impairment. Global cognition and degrees of intracranial ICA calcification of 579 subjects were assessed with Mini-Mental State Examination (MMSE) and Agatston calcium scoring method, respectively. Other risk factors for cognitive impairment, including age, education level, hypertension, diabetes mellitus, smoking, hyperlipidemia, and body mass index, were documented and analyzed for their associations with cognitive function. In univariate analyses, older age, lower education level, hypertension, diabetes mellitus, and higher intracranial ICA Agatston scores were significantly associated with cognitive impairment. In ordinal logistic regression, only age and total intracranial ICA Agatston score were significant risk factors for cognitive impairment. After adjustment for the other documented risk factors, subjects were 7% (95% CI: 5–10; P < 0.001) and 6% (95% CI: 0–13; P = 0.04) more likely to have lower cognitive category with every year increment of age and every 100-point increment of the total intracranial ICA Agatston score respectively. These results suggest an important role of the intracranial ICA calcification on cognitive impairment. PMID:26426620

  17. The Use of Propensity Scores as a Matching Strategy

    ERIC Educational Resources Information Center

    John, Lindsay; Wright, Robin; Duku, Eric K.; Willms, J. Douglas

    2008-01-01

    Objectives: This study reports on the concept and method of linear propensity scores used to obtain a comparison group from the National Longitudinal Survey of Children and Youth to assess the effects of a longitudinal, structured arts program for Canadian youth (aged 9 to 15 years) from low-income, multicultural communities. Method: This study…

  18. A Diet Score Assessing Norwegian Adolescents’ Adherence to Dietary Recommendations—Development and Test-Retest Reproducibility of the Score

    PubMed Central

    Handeland, Katina; Kjellevold, Marian; Wik Markhus, Maria; Eide Graff, Ingvild; Frøyland, Livar; Lie, Øyvind; Skotheim, Siv; Stormark, Kjell Morten; Dahl, Lisbeth; Øyen, Jannike

    2016-01-01

    Assessment of adolescents’ dietary habits is challenging. Reliable instruments to monitor dietary trends are required to promote healthier behaviours in this group. The purpose of this cross-sectional study was to assess adolescents’ adherence to Norwegian dietary recommendations with a diet score and to report results from, and test-retest reliability of, the score. The diet score involved seven food groups and one physical activity indicator, and was applied to answers from a semi-quantitative food frequency questionnaire (FFQ) administered twice. Reproducibility of the score was assessed with Cohen’s Kappa (κ statistics) at an interval of three months. The setting was eight lower-secondary schools in Hordaland County, Norway, and subjects were adolescents (n = 472) aged 14–15 years and their caregivers. Results showed that the proportion of adolescents consistently classified by the diet score was 87.6% (κ = 0.465). For food groups, proportions ranged from 74.0% to 91.6% (κ = 0.249 to κ = 0.573). Less than 40% of the participants were found to adhere to recommendations for frequencies of eating fruits, vegetables, added sugar, and fish. Highest compliance to recommendations was seen for choosing water as beverage and limit the intake of red meat. The score was associated with parental socioeconomic status. The diet score was found to be reproducible at an acceptable level. Health promoting work targeting adolescents should emphasize to increase the intake of recommended foods to approach nutritional guidelines. PMID:27483312

  19. Scores on the eysenck personality questionnaire for a sample of children and adolescents receiving psychological treatment in Puerto Rico.

    PubMed

    Porrata, Jose Luis; Rosa, Abraham; Mendez, Viviana

    2003-08-01

    Personality questionnaire scores obtained by children and adolescents (n = 28) receiving psychological treatment at a health facility in Humacao, Puerto Rico were examined. The scores were compared with those of regular school children of the same age, of Gurabo, Puerto Rico, who were not in treatment (n = 30). The children in treatment obtained higher scores on Psychoticism, lower scores on Extraversion, and similar scores on Neuroticism and Dissimulation by comparison with regular students.

  20. Pfeiffer syndrome: analysis of a clinical series and development of a classification system.

    PubMed

    Greig, Aina V H; Wagner, Janelle; Warren, Stephen M; Grayson, Barry; McCarthy, Joseph G

    2013-01-01

    Among the craniosynostosis syndromes, Pfeiffer syndrome is notable because of high mortality and the need for multiple surgical interventions. However, it is variable in severity. We propose a new classification of Pfeiffer Syndrome to define pathology and function. A retrospective review was conducted of 42 patients with Pfeiffer syndrome treated from 1975 to 2010, the largest series reported to date. The classification was based on a functional assessment of patients in terms of respiratory, ocular, otological, and neurological status. This classification was tested by scoring and stratifying patients as follows: type A (mild problems), B (moderate problems), or C (severe problems). Patients were scored both at the time of presentation and after all surgical interventions to assess change in functional outcome. The functional classification system was compared to another previously reported. Type A patients did not have any change in postoperative functional outcomes (mean preoperative score 1.6, mean postoperative score 1.6); type B patients showed functional improvement (mean preoperative score 4.1, mean postoperative score 3.4) but type C patients (mean preoperative score 7.7, mean postoperative score 4.8) demonstrated the greatest improvement in functional scores after surgical intervention. Suture pathology did not indicate the clinical severity of phenotype, a variance from a previously published classification. The proposed classification is useful to assess severity of phenotype: respiratory, ocular, otologic, and neurologic problems are key indicators of the need for treatment. The classification can provide a helpful guide in multidisciplinary treatment planning, in reporting outcomes, and in the sharing of data among craniofacial anomalies centers.

  1. Automatic sleep scoring in normals and in individuals with neurodegenerative disorders according to new international sleep scoring criteria.

    PubMed

    Jensen, Peter S; Sorensen, Helge B D; Leonthin, Helle L; Jennum, Poul

    2010-08-01

    The aim of this study was to develop a fully automatic sleep scoring algorithm on the basis of a reproduction of new international sleep scoring criteria from the American Academy of Sleep Medicine. A biomedical signal processing algorithm was developed, allowing for automatic sleep depth quantification of routine polysomnographic recordings through feature extraction, supervised probabilistic Bayesian classification, and heuristic rule-based smoothing. The performance of the algorithm was tested using 28 manually classified day-night polysomnograms from 18 normal subjects and 10 patients with Parkinson disease or multiple system atrophy. This led to quantification of automatic versus manual epoch-by-epoch agreement rates for both normals and abnormals. Resulting average agreement rates were 87.7% (Cohen's Kappa: 0.79) and 68.2% (Cohen's Kappa: 0.26) in the normal and abnormal group, respectively. Based on an observed reliability of the manual scorer of 92.5% (Cohen's Kappa: 0.87) in the normal group and 85.3% (Cohen's Kappa: 0.73) in the abnormal group, this study concluded that although the developed algorithm was capable of scoring normal sleep with an accuracy around the manual interscorer reliability, it failed in accurately scoring abnormal sleep as encountered for the Parkinson disease/multiple system atrophy patients.

  2. A Method for Estimating Classification Consistency Indices for Two Equated Forms

    ERIC Educational Resources Information Center

    Yi, Hyun Sook; Kim, Seonghoon; Brennan, Robert L.

    2007-01-01

    Large-scale testing programs involving classification decisions typically have multiple forms available and conduct equating to ensure cut-score comparability across forms. A test developer might be interested in the extent to which an examinee who happens to take a particular form would have a consistent classification decision if he or she had…

  3. Scoring of precision spur gears

    SciTech Connect

    Budinski, K.G. )

    1994-09-01

    A group of manufacturing machines employed precision spur gears as the timing mechanism for machine operations. These machines had worked successfully for about ten years with little or no problems with gear wear or deterioration. When new machines were brought on line with recently made gears there were immediate problems with gear tooth scoring. A laboratory study was conducted to determine if metallurgical conditions were related to the gear scoring. Recent gears were made from a modification of the alloy used in early gears. The new alloy has been modified to make it more resistant to softening in coating operations. Reciprocating wear tests and galling tests were conducted to compare the tribological characteristics of the old and new gear steels. It was determined that the threshold galling stress of the gear steels was strongly dependent on the hardness. The reciprocating wear tests indicated that the wear resistance was affected by the volume fraction of hard phases in the steels. The recommended short-term solution was to alter the tempering procedure for the steel to keep Rockwell C hardness above 60; the long-term solution was to change the gear material and lubrication.

  4. Role of the Egami Score in Predicting Intravenous Immunoglobulin Resistance in Kawasaki Disease Among Different Ethnicities.

    PubMed

    Loomba, Rohit S; Raskin, Alexander; Gudausky, Todd M; Kirkpatrick, Edward

    Early treatment with intravenous immunoglobulin (IVIG) is necessary to help reduce the risk of coronary artery abnormalities, such as coronary artery aneurysms and to help alleviate symptoms, in Kawasaki disease. Some patients, however, do not respond to an initial dose of IVIG and require additional doses. Prediction of these IVIG nonresponders may be of assistance in altering initial therapy to make it more effective. The Egami score has been validated in the Japanese population to predict IVIG nonresponders but has shown to be ineffective in US populations. This study evaluates the Egami score in a Midwest US population, subdividing patients by race and the diagnosis of typical or atypical type of Kawasaki disease. Patients were included in the study if they met criteria for Kawasaki disease and received IVIG in the inpatient setting. A total of 182 patients were studied, and in all studied groups, the Egami score had poor sensitivity at predicting IVIG nonresponders. Sensitivity of the score differed between races and differed between typical and atypical Kawasaki disease. The Egami score, as well as other systems, have been validated to predict IVIG nonresponders. These, however, lack sensitivity in the US population. Other scores developed in the United States have also lacked sensitivity, likely due to the absence of race or Kawasaki disease classification as variables. The development of a sensitive scoring system to predict IVIG nonresponders in US populations will require the incorporation of race and Kawasaki disease classification, factors that seem to alter IVIG response.

  5. Development and Performance of an Algorithm to Estimate the Child-Turcotte-Pugh Score From a National Electronic Healthcare Database

    PubMed Central

    Kaplan, David E.; Dai, Feng; Aytaman, Ayse; Baytarian, Michelle; Fox, Rena; Hunt, Kristel; Knott, Astrid; Pedrosa, Marcos; Pocha, Christine; Mehta, Rajni; Duggal, Mona; Skanderson, Melissa; Valderrama, Adriana; Taddei, Tamar

    2015-01-01

    BACKGROUND & METHODS The Child-Turcotte-Pugh (CTP) score is a widely used and validated predictor of long-term survival in cirrhosis. The CTP score is a composite of 5 subscores, 3 based on objective clinical laboratory values and 2 subjective variables quantifying the severity of ascites and hepatic encephalopathy. To date, no system to quantify CTP score from administrative databases has been validated. The Veterans Outcomes and Costs Associated with Liver Disease study is a multicenter collaborative study to evaluate the outcomes and costs of hepatocellular carcinoma in the U.S. Veterans Health Administration. We developed and validated an algorithm to calculate electronic CTP (eCTP) scores by using data from the Veterans Health Administration Corporate Data Warehouse. METHODS Multiple algorithms for determining each CTP subscore from International Classification of Diseases version 9, Common Procedural Terminology, pharmacy, and laboratory data were devised and tested in 2 patient cohorts. For each cohort, 6 site investigators (Boston, Bronx, Brooklyn, Philadelphia, Minneapolis, and West Haven VA Medical Centers) were provided cases from which to determine validity of diagnosis, laboratory data, and clinical assessment of ascites and encephalopathy. The optimal algorithm (designated eCTP) was then applied to 30,840 cirrhotic patients alive in the first quarter of 2008 for whom 5-year overall and transplant-free survival data were available. The ability of the eCTP score and other disease severity scores (Charlson-Deyo index, Veterans Aging Cohort Study index, Model for End-Stage Liver Disease score, and Cirrhosis Comorbidity) to predict survival was then assessed by Cox proportional hazards regression. RESULTS Spearman correlations for administrative and investigator validated laboratory data in the HCC and cirrhotic cohorts, respectively, were 0.85 and 0.92 for bilirubin, 0.92 and 0.87 for albumin, and 0.84 and 0.86 for international normalized ratio. In the

  6. Sleep stage and obstructive apneaic epoch classification using single-lead ECG

    PubMed Central

    2010-01-01

    Background Polysomnography (PSG) is used to define physiological sleep and different physiological sleep stages, to assess sleep quality and diagnose many types of sleep disorders such as obstructive sleep apnea. However, PSG requires not only the connection of various sensors and electrodes to the subject but also spending the night in a bed that is different from the subject's own bed. This study is designed to investigate the feasibility of automatic classification of sleep stages and obstructive apneaic epochs using only the features derived from a single-lead electrocardiography (ECG) signal. Methods For this purpose, PSG recordings (ECG included) were obtained during the night's sleep (mean duration 7 hours) of 17 subjects (5 men) with ages between 26 and 67. Based on these recordings, sleep experts performed sleep scoring for each subject. This study consisted of the following steps: (1) Visual inspection of ECG data corresponding to each 30-second epoch, and selection of epochs with relatively clean signals, (2) beat-to-beat interval (RR interval) computation using an R-peak detection algorithm, (3) feature extraction from RR interval values, and (4) classification of sleep stages (or obstructive apneaic periods) using one-versus-rest approach. The features used in the study were the median value, the difference between the 75 and 25 percentile values, and mean absolute deviations of the RR intervals computed for each epoch. The k-nearest-neighbor (kNN), quadratic discriminant analysis (QDA), and support vector machines (SVM) methods were used as the classification tools. In the testing procedure 10-fold cross-validation was employed. Results QDA and SVM performed similarly well and significantly better than kNN for both sleep stage and apneaic epoch classification studies. The classification accuracy rates were between 80 and 90% for the stages other than non-rapid-eye-movement stage 2. The accuracies were 60 or 70% for that specific stage. In five

  7. Oocyte Scoring Enhances Embryo-Scoring in Predicting Pregnancy Chances with IVF Where It Counts Most

    PubMed Central

    Lazzaroni-Tealdi, Emanuela; Barad, David H.; Albertini, David F.; Yu, Yao; Kushnir, Vitaly A.; Russell, Helena; Wu, Yan-Guang; Gleicher, Norbert

    2015-01-01

    Context Our center’s quality improvement optimization process on many occasions anecdotally suggested that oocyte assessments might enhance embryo assessment in predicting pregnancy chances with in vitro fertilization (IVF). Objective To prospectively compare a morphologic oocyte grading system to standard day-3 morphologic embryo assessment. Design, Setting, Patients We prospectively investigated in a private academically-affiliated infertility center 94 consecutive IVF cycles based on 6 criteria for oocyte quality: morphology, cytoplasm, perivitelline space (PVS), zona pellucida (ZP), polar body (PB) and oocyte size, each assigned a value of -1 (worst), 0 (average) or +1 (best), so establishing an average total oocyte score (TOS). Embryo assessment utilized grade and cell numbers of each embryo on day-3 after oocyte retrieval. Clinical pregnancy was defined by presence of at least one intrauterine gestational sac. Interventions Standard IVF cycles in infertile women. Main Outcome Measures Predictability of pregnancy based on oocyte and embryo-grading systems. Results Average age for all patients was 36.5 ± 7.3 years; mean oocyte yield was 7.97± 5.76; Patient specific total oocyte score (PTOS) was -1.05 ± 2.24. PTOS, adjusted for patient age, was directly related to odds of increased embryo cell numbers (OR 1.12, P = 0.025), embryo grade (OR 1.19, P < 0.001) and clinical pregnancy [OR 1.58 (95%CI 1.23 to 2.02), P < 0.001]. Restricting the analysis to day three embryos of high quality (8-cell/ good grades), TOS was still predictive of clinical pregnancy (OR 2.08 (95%CI 1.26 to 3.44, P = 0.004). Among the 69 patients with embryos of Grade 4 or better available for transfer 23 achieved Clinical Pregnancy. When the analysis was restricted to the 69 transfers with good quality embryos (≥ Grade 4) the Oocyte Scoring System (TOS) (AUC±SE 0.863±0.044, oocyte score) provided significantly greater predictive value for clinical pregnancy compared to the embryo grade

  8. Expanded Koppitz Scoring System of the Bender Gestalt Visual-Motor Test for Adolescents: A Pilot Study.

    ERIC Educational Resources Information Center

    Bolen, Larry M.; And Others

    1992-01-01

    Examined use of Bender Gestalt Visual-Motor Test with school-age adolescents over age 11. Mean error scores suggest that visual-motor development is not maturationally complete by age 11 years, 11 months. Suggests additional research focusing on extending normative sample or developing new scoring system for adolescents. (Author/NB)

  9. Comparison of original EuroSCORE, EuroSCORE II and STS risk models in a Turkish cardiac surgical cohort†

    PubMed Central

    Kunt, Ayse Gul; Kurtcephe, Murat; Hidiroglu, Mete; Cetin, Levent; Kucuker, Aslihan; Bakuy, Vedat; Ruchan Akar, Ahmet; Sener, Erol

    2013-01-01

    OBJECTIVES The aim of this study was to compare additive and logistic European System for Cardiac Operative Risk Evaluation (EuroSCORE), EuroSCORE II and the Society of Thoracic Surgeons (STS) models in calculating mortality risk in a Turkish cardiac surgical population. METHODS The current patient population consisted of 428 patients who underwent isolated coronary artery bypass grafting (CABG) between 2004 and 2012, extracted from the TurkoSCORE database. Observed and predicted mortalities were compared for the additive/logistic EuroSCORE, EuroSCORE II and STS risk calculator. The area under the receiver operating characteristics curve (AUC) values were calculated for these models to compare predictive power. RESULTS The mean patient age was 74.5 ± 3.9 years at the time of surgery, and 35.0% were female. For the entire cohort, actual hospital mortality was 7.9% (n = 34; 95% confidence interval [CI] 5.4–10.5). However, the additive EuroSCORE-predicted mortality was 6.4% (P = 0.23 vs observed; 95% CI 6.2–6.6), logistic EuroSCORE-predicted mortality was 7.9% (P = 0.98 vs observed; 95% CI 7.3–8.6), EuroSCORE II- predicted mortality was 1.7% (P = 0.00 vs observed; 95% CI 1.6–1.8) and STS predicted mortality was 5.8% (P = 0.10 vs observed; 95% CI 5.4–6.2). The mean predictive performance of the analysed models for the entire cohort was fair, with 0.7 (95% CI 0.60–0.79). AUC values for additive EuroSCORE, logistic EuroSCORE, EuroSCORE II and STS risk calculator were 0.70 (95% CI 0.60–0.79), 0.70 (95% CI 0.59–0.80), 0.72 (95% CI 0.62–0.81) and 0.62 (95% CI 0.51–0.73), respectively. CONCLUSIONS EuroSCORE II significantly underestimated mortality risk for Turkish cardiac patients, whereas additive and logistic EuroSCORE and STS risk calculators were well calibrated. PMID:23403767

  10. Visualizing Document Classification: A Search Aid for the Digital Library.

    ERIC Educational Resources Information Center

    Lieu, Yew-Huey; Dantzig, Paul; Sachs, Martin; Corey, James T.; Hinnebusch, Mark T.; Damashek, Marc; Cohen, Jonathan

    2000-01-01

    Discusses access to digital libraries on the World Wide Web via Web browsers and describes the design of a language-independent document classification system to help users of the Florida Center for Library Automation analyze search query results. Highlights include similarity scores, clustering, graphical representation of document similarity,…

  11. Pediatric Trauma BIG Score: Predicting Mortality in Children After Military and Civilian Trauma

    DTIC Science & Technology

    2011-04-01

    Age-Specific Pediatric Trauma Score ( ASPTS ), and Pediatric Age-Adjusted Trauma and Injury Sever- ity Score (TRISS) (PAAT).6–11 The score was then...yielded the highest area under the curve of 0.89 (95% confidence interval [CI]: 0.83–0.95) compared with the RTS of 0.81 (95% CI: 0.70–0.90), the ASPTS ...revised to the PAAT by the same authors.9 The ASPTS includes GCS, the z scored systolic blood pres- sure, heart rate, and respiratory rate and adds

  12. [Classification of cardiomyopathy].

    PubMed

    Asakura, Masanori; Kitakaze, Masafumi

    2014-01-01

    Cardiomyopathy is a group of cardiovascular diseases with poor prognosis. Some patients with dilated cardiomyopathy need heart transplantations due to severe heart failure. Some patients with hypertrophic cardiomyopathy die unexpectedly due to malignant ventricular arrhythmias. Various phenotypes of cardiomyopathies are due to the heterogeneous group of diseases. The classification of cardiomyopathies is important and indispensable in the clinical situation. However, their classification has not been established, because the causes of cardiomyopathies have not been fully elucidated. We usually use definition and classification offered by WHO/ISFC task force in 1995. Recently, several new definitions and classifications of the cardiomyopathies have been published by American Heart Association, European Society of Cardiology and Japanese Circulation Society.

  13. Delaware Alternative Classifications

    ERIC Educational Resources Information Center

    Miller, Jay

    1975-01-01

    This article discusses the species designation and taxonomies of Delaware and Algonkian and presents eight classifications of taxa by form, habitat, color, movement, sound, use, relationship, and appearance. Relevant research is also reviewed. (CLK)

  14. Postprocessing classification images

    NASA Technical Reports Server (NTRS)

    Kan, E. P.

    1979-01-01

    Program cleans up remote-sensing maps. It can be used with existing image-processing software. Remapped images closely resemble familiar resource information maps and can replace or supplement classification images not postprocessed by this program.

  15. Conceptual classification model for Sustainable Flood Retention Basins.

    PubMed

    Scholz, Miklas; Sadowski, Adam J

    2009-01-01

    The aim of this paper is to recommend a rapid conceptual classification model for Sustainable Flood Retention Basins (SFRB) used to control runoff in a temperate climate. An SFRB is an aesthetically pleasing retention basin predominantly used for flood protection adhering to sustainable drainage and best management practices. The classification model was developed on the basis of a database of 141 SFRB using the River Rhine catchment in Baden (part of Baden-Württemberg, Germany) as a case study. It is based on an agglomerative cluster analysis and is intended to be used by engineers and scientists to adequately classify the following different types of SFRB: Hydraulic Flood Retention Basin, Traditional Flood Retention Basin, Sustainable Flood Retention Wetland, Aesthetic Flood Retention Wetland, Integrated Flood Retention Wetland and Natural Flood Retention Wetland. The selection of classification variables was supported by a principal component analysis. The identification of SFRB in the data set was based on a Ward cluster analysis of 34 weighted classification variables. Scoring tables were defined to enable the assignment of the six SFRB definitions to retention basins in the data set. The efficiency of these tables was based on a scoring system which gave the conceptual model for the example case study sites an overall efficiency of approximately 60% (as opposed to 17% by chance). This conceptual classification model should be utilized to improve communication by providing definitions for SFRB types. The classification definitions are likely to be applicable for other regions with both temperate oceanic and temperate continental climates.

  16. Propensity Score Matching: Retrospective Randomization?

    PubMed

    Jupiter, Daniel C

    Randomized controlled trials are viewed as the optimal study design. In this commentary, we explore the strength of this design and its complexity. We also discuss some situations in which these trials are not possible, or not ethical, or not economical. In such situations, specifically, in retrospective studies, we should make every effort to recapitulate the rigor and strength of the randomized trial. However, we could be faced with an inherent indication bias in such a setting. Thus, we consider the tools available to address that bias. Specifically, we examine matching and introduce and explore a new tool: propensity score matching. This tool allows us to group subjects according to their propensity to be in a particular treatment group and, in so doing, to account for the indication bias.

  17. Adaptive Gaussian Pattern Classification

    DTIC Science & Technology

    1988-08-01

    redundant model of the data to be used in classification . There are two classes of learning, or adaptation schemes. The first, unsupervised learning...37, No. 3, pp. 242-247, 1983. [2] E. F. Codd, Cellular Automata , Academic Press, 1968. [31 H. Everett, G. Gilbreath, S. Alderson, D. J. Marchette...Na al Oca aytm aete !JTI FL E COPY AD-A 199 030 Technical Document 1335 August 1988 Adaptive Gaussian Pattern Classif ication C. E. Priebe D. J

  18. Scoring with the Computer: Alternative Procedures for Improving the Reliability of Holistic Essay Scoring

    ERIC Educational Resources Information Center

    Attali, Yigal; Lewis, Will; Steier, Michael

    2013-01-01

    Automated essay scoring can produce reliable scores that are highly correlated with human scores, but is limited in its evaluation of content and other higher-order aspects of writing. The increased use of automated essay scoring in high-stakes testing underscores the need for human scoring that is focused on higher-order aspects of writing. This…

  19. Supernova Photometric Lightcurve Classification

    NASA Astrophysics Data System (ADS)

    Zaidi, Tayeb; Narayan, Gautham

    2016-01-01

    This is a preliminary report on photometric supernova classification. We first explore the properties of supernova light curves, and attempt to restructure the unevenly sampled and sparse data from assorted datasets to allow for processing and classification. The data was primarily drawn from the Dark Energy Survey (DES) simulated data, created for the Supernova Photometric Classification Challenge. This poster shows a method for producing a non-parametric representation of the light curve data, and applying a Random Forest classifier algorithm to distinguish between supernovae types. We examine the impact of Principal Component Analysis to reduce the dimensionality of the dataset, for future classification work. The classification code will be used in a stage of the ANTARES pipeline, created for use on the Large Synoptic Survey Telescope alert data and other wide-field surveys. The final figure-of-merit for the DES data in the r band was 60% for binary classification (Type I vs II).Zaidi was supported by the NOAO/KPNO Research Experiences for Undergraduates (REU) Program which is funded by the National Science Foundation Research Experiences for Undergraduates Program (AST-1262829).

  20. Moreton Lecture: Imaging in the Age of Precision Medicine.

    PubMed

    Thrall, James H

    2015-10-01

    The term "precision medicine" (also known as "personalized medicine") is broadly defined as the tailoring of medical treatment to the individual characteristics of each patient. This process entails classifying patients into subpopulations that differ in their susceptibility to a particular disease, in the biology and/or prognosis of those diseases they may develop, or in their response to a specific treatment. Subpopulations are defined through systematic analysis and classification of patients' genotypic and phenotypic characteristics. Image findings are surrogates for phenotype manifestation of disease, and radiology reports are written descriptions of imaging phenotypes. Imaging phenotypes are often presented as classification, grading, or scoring systems that help assign patients to subpopulations for selecting treatment or assessing prognosis. The "spot sign score" that reflects the severity of bleeding in intracerebral hemorrhage is an example that has been used as an inclusion criterion in clinical trials. The term "radiogenomics" is used to describe the study of linkage between a patient's genotype and imaging phenotype. When a patient's genotype is known, it often suggests a surveillance role for imaging to determine clinical occurrence, location, extent, and severity of the associated disease; for example, use of breast imaging for enhanced surveillance in women known to harbor the BRCA1 and BRCA2 genes. Imaging is poised to play major roles in the age of precision medicine. The imaging community needs to learn new terminology and think in terms of how imaging phenotypes and imaging surveillance of patients with known genetic mutations can contribute to the concept.

  1. Critical evaluation of mangled extremity severity scoring system in Indian patients.

    PubMed

    Sharma, Sansar; Devgan, Ashish; Marya, K M; Rathee, Nitesh

    2003-07-01

    Amputation of a mangled extremity is repugnant to the patient and the surgeon. However, prolonged unsuccessful attempts at salvage are costly, highly morbid and sometimes lethal. Much discussion has taken place regarding which criteria predict successful salvage, and predictive indices have been proposed in an attempt to identify limbs for which attempted salvage is unlikely to succeed. The mangled extremity severity score, or MESS system is the most thoroughly validated of the various classification systems, but at present there is no predictive scale that can be used with confidence to determine whether to amputate or attempt to salvage a mangled lower extremity. MESS system based on four significant criteria (with increasing points with worsening prognosis) i.e. skeletal injury, limb ischaemia, shock and patient age, has become a standard method to determine which one of the mangled extremities will eventually undergo amputation or salvage. Keeping in view the paucity of studies on Indian patients, a prospective trial of MESS was done in 50 patients who had 56 mangled extremities during the last 3 years. A significant difference between the MESS value of salvaged limbs (4.7) and amputated limbs (8.6) was found. MESS value of more than 7 was most specific and was found to have a positive predictive value of 100%. The results have been compared with Western literature and authors suggest that nerve injuries and irreparable soft tissue loss should be given an extra point each. In bilateral cases, the MESS value of each limb should be properly assessed (especially when patient is in shock), as the score may increase because of the other injured limb.

  2. Validation of the Alder Hey Triage Pain Score

    PubMed Central

    Stewart, B; Lancaster, G; Lawson, J; Williams, K; Daly, J

    2004-01-01

    Aims: To describe the validation and reliability of a new pain tool (the Alder Hey Triage Pain Score, AHTPS) for children at triage in the accident and emergency (A&E) setting. Methods: A new behavioural observational pain tool was developed because of dissatisfaction with available tools and a lack of confidence in self-assessment scores at triage. The study was conducted in a large paediatric A&E department; 575 children (aged 0–16 years) were included. Inter-rater reliability and various aspects of validity were assessed. In addition this tool was compared to the Wong-Baker self-assessment tool.1 The children were concurrently scored by a research nurse and triage nurses to assess inter-rater reliability. Construct validity was assessed by comparing the research nurse's triage score with the research nurse reassessment score after intervention and/or analgesia. Known group construct validity was assessed by comparing the research nurse's score at triage with the level of pain of the condition as judged by the discharge diagnosis. Predictive validity was assessed by comparing the research nurse's AHTPS with the level of analgesia needed by each patient. The AHTPS was also compared to a self-assessment score. Results: A high level of inter-rater reliability, kappa statistic 0.84 (95% CI 0.80 to 0.88), was shown. Construct validity was well demonstrated; known group construct validity and predictive validity were also demonstrated to a varying degree. Conclusions: Results support the use of this observational pain scoring tool in the triage of children in A&E. PMID:15210492

  3. Are Multimorbidities Underestimated in Scoring Systems of Stevens-Johnson Syndrome and Toxic Epidermal Necrolysis Like in SCORTEN?

    PubMed Central

    von Wild, Tobias; Stollwerck, Peter L.; Namdar, Thomas; Stang, Felix H.; Mailänder, Peter; Siemers, Frank

    2012-01-01

    Objective: Toxic epidermal necrolysis and Stevens-Johnson syndrome have related high morbidity and mortality. We predict that preexisting multimorbidity is a major prognostic factor of both these diseases. Methods: A retrospective analysis in toxic epidermal necrolysis and Stevens-Johnson syndrome patients over the past 10 years. Three severity categories (minor, moderate, and severe multimorbidity) were defined according to a point-rating system. Results: Twenty-seven inpatients, with a median age of 63 years, diagnosed with toxic epidermal necrolysis (n = 13) or Stevens-Johnson syndrome/toxic epidermal necrolysis (n = 14) were assessed in this study. Of these, 14 patients died during the course of the study. Nonsurvivors showed significantly higher multimorbidity (P = .038), with higher scoring on the points system for disease severity (P = .003), than survivors and CART (Classification and Regression Trees) cross-validation (P < .05). Limitations: Restricted number of patients due to low prevalence rate. Conclusion: The complexity of associated multimorbidity appears to have a large influence on toxic epidermal necrolysis and Stevens-Johnson syndrome prognosis, which has not been considered in any of the established scoring systems. PMID:22912906

  4. Stratification of the severity of critically ill patients with classification trees

    PubMed Central

    2009-01-01

    Background Development of three classification trees (CT) based on the CART (Classification and Regression Trees), CHAID (Chi-Square Automatic Interaction Detection) and C4.5 methodologies for the calculation of probability of hospital mortality; the comparison of the results with the APACHE II, SAPS II and MPM II-24 scores, and with a model based on multiple logistic regression (LR). Methods Retrospective study of 2864 patients. Random partition (70:30) into a Development Set (DS) n = 1808 and Validation Set (VS) n = 808. Their properties of discrimination are compared with the ROC curve (AUC CI 95%), Percent of correct classification (PCC CI 95%); and the calibration with the Calibration Curve and the Standardized Mortality Ratio (SMR CI 95%). Results CTs are produced with a different selection of variables and decision rules: CART (5 variables and 8 decision rules), CHAID (7 variables and 15 rules) and C4.5 (6 variables and 10 rules). The common variables were: inotropic therapy, Glasgow, age, (A-a)O2 gradient and antecedent of chronic illness. In VS: all the models achieved acceptable discrimination with AUC above 0.7. CT: CART (0.75(0.71-0.81)), CHAID (0.76(0.72-0.79)) and C4.5 (0.76(0.73-0.80)). PCC: CART (72(69-75)), CHAID (72(69-75)) and C4.5 (76(73-79)). Calibration (SMR) better in the CT: CART (1.04(0.95-1.31)), CHAID (1.06(0.97-1.15) and C4.5 (1.08(0.98-1.16)). Conclusion With different methodologies of CTs, trees are generated with different selection of variables and decision rules. The CTs are easy to interpret, and they stratify the risk of hospital mortality. The CTs should be taken into account for the classification of the prognosis of critically ill patients. PMID:20003229

  5. European conformation and fat scores have no relationship with eating quality.

    PubMed

    Bonny, S P F; Pethick, D W; Legrand, I; Wierzbicki, J; Allen, P; Farmer, L J; Polkinghorne, R J; Hocquette, J-F; Gardner, G E

    2016-06-01

    European conformation and fat grades are a major factor determining carcass value throughout Europe. The relationships between these scores and sensory scores were investigated. A total of 3786 French, Polish and Irish consumers evaluated steaks, grilled to a medium doneness, according to protocols of the ���Meat Standards Australia��� system, from 18 muscles representing 455 local, commercial cattle from commercial abattoirs. A mixed linear effects model was used for the analysis. There was a negative relationship between juiciness and European conformation score. For the other sensory scores, a maximum of three muscles out of a possible 18 demonstrated negative effects of conformation score on sensory scores. There was a positive effect of European fat score on three individual muscles. However, this was accounted for by marbling score. Thus, while the European carcass classification system may indicate yield, it has no consistent relationship with sensory scores at a carcass level that is suitable for use in a commercial system. The industry should consider using an additional system related to eating quality to aid in the determination of the monetary value of carcasses, rewarding eating quality in addition to yield.

  6. On the consistency of individual classification using short scales.

    PubMed

    Emons, Wilco H M; Sijtsma, Klaas; Meijer, Rob R

    2007-03-01

    Short tests containing at most 15 items are used in clinical and health psychology, medicine, and psychiatry for making decisions about patients. Because short tests have large measurement error, the authors ask whether they are reliable enough for classifying patients into a treatment and a nontreatment group. For a given certainty level, proportions of correct classifications were computed for varying test length, cut-scores, item scoring, and choices of item parameters. Short tests were found to classify at most 50% of a group consistently. Results were much better for tests containing 20 or 40 items. Small differences were found between dichotomous and polytomous (5 ordered scores) items. It is recommended that short tests for high-stakes decision making be used in combination with other information so as to increase reliability and classification consistency.

  7. Improving classification accuracy and causal knowledge for better credit decisions.

    PubMed

    Wu, Wei-Wen

    2011-08-01

    Numerous studies have contributed to efforts to boost the accuracy of the credit scoring model. Especially interesting are recent studies which have successfully developed the hybrid approach, which advances classification accuracy by combining different machine learning techniques. However, to achieve better credit decisions, it is not enough merely to increase the accuracy of the credit scoring model. It is necessary to conduct meaningful supplementary analyses in order to obtain knowledge of causal relations, particularly in terms of significant conceptual patterns or structures involving attributes used in the credit scoring model. This paper proposes a solution of integrating data preprocessing strategies and the Bayesian network classifier with the tree augmented Na"ıve Bayes search algorithm, in order to improve classification accuracy and to obtain improved knowledge of causal patterns, thus enhancing the validity of credit decisions.

  8. Quantitative sports and functional classification (QSFC) for disabled people with spasticity

    PubMed Central

    Khalili, M

    2004-01-01

    Although sports classification for cerebral palsy has been in use for several years, it is complicated both for training and for scoring. People with cerebral palsy are difficult to fit into classification systems that are appropriate for other disability groups. The aim of this report is to describe the development of a framework for a simple quantitative classification of cerebral palsy. It was designed to be easily understood by all who are investigating, treating, training, coaching, and working with spastic disabled people. The scoring system is accurate and quick, so long as the definitions of items listed are adhered to. PMID:15155434

  9. 42 CFR 414.1260 - Composite scores.

    Code of Federal Regulations, 2014 CFR

    2014-10-01

    ... 42 Public Health 3 2014-10-01 2014-10-01 false Composite scores. 414.1260 Section 414.1260 Public... Modifier Under the Physician Fee Schedule § 414.1260 Composite scores. (a)(1) The standardized score for... determine the quality composite: (i) Patient safety. (ii) Patient experience. (iii) Care coordination....

  10. 42 CFR 414.1260 - Composite scores.

    Code of Federal Regulations, 2013 CFR

    2013-10-01

    ... 42 Public Health 3 2013-10-01 2013-10-01 false Composite scores. 414.1260 Section 414.1260 Public... Modifier Under the Physician Fee Schedule § 414.1260 Composite scores. (a)(1) The standardized score for... determine the quality composite: (i) Patient safety. (ii) Patient experience. (iii) Care coordination....

  11. Aptitude Test Score Trends: 1959-1984.

    ERIC Educational Resources Information Center

    Brown, Dianne C.

    The decline in standardized test scores during the 1960s and 1970s is well documented and is seen in both aptitude and achievement test scores. This paper describes and analyzes the test score trends over the 1960s, 1970s and early 1980s for five aptitude tests: (1) the Scholastic Aptitude Test; (2) the American College Test; (3) the Preliminary…

  12. Validation of Automated Scoring of Science Assessments

    ERIC Educational Resources Information Center

    Liu, Ou Lydia; Rios, Joseph A.; Heilman, Michael; Gerard, Libby; Linn, Marcia C.

    2016-01-01

    Constructed response items can both measure the coherence of student ideas and serve as reflective experiences to strengthen instruction. We report on new automated scoring technologies that can reduce the cost and complexity of scoring constructed-response items. This study explored the accuracy of c-rater-ML, an automated scoring engine…

  13. Credit Scores, Race, and Residential Sorting

    ERIC Educational Resources Information Center

    Nelson, Ashlyn Aiko

    2010-01-01

    Credit scores have a profound impact on home purchasing power and mortgage pricing, yet little is known about how credit scores influence households' residential location decisions. This study estimates the effects of credit scores on residential sorting behavior using a novel mortgage industry data set combining household demographic, credit, and…

  14. On the Reliability of Categorically Scored Examinations

    ERIC Educational Resources Information Center

    Kupermintz, Haggai

    2004-01-01

    A decision-theoretic approach to the question of reliability in categorically scored examinations is explored. The concepts of true scores and errors are discussed as they deviate from conventional psychometric definitions and measurement error in categorical scores is cast in terms of misclassifications. A reliability measure based on…

  15. "Score Choice": A Tempest in a Teapot?

    ERIC Educational Resources Information Center

    Hoover, Eric

    2009-01-01

    A new option that allows students to choose which of their test scores to send to colleges has generated renewed criticism of the College Board. College Board officials tout the option, called Score Choice, as a way to ease test taker anxiety. Some prominent admissions officials have publicly described Score Choice as a sales tactic that will…

  16. Developing Score Reports for Cognitive Diagnostic Assessments

    ERIC Educational Resources Information Center

    Roberts, Mary Roduta; Gierl, Mark J.

    2010-01-01

    This paper presents a framework to provide a structured approach for developing score reports for cognitive diagnostic assessments ("CDAs"). Guidelines for reporting and presenting diagnostic scores are based on a review of current educational test score reporting practices and literature from the area of information design. A sample diagnostic…

  17. A comparative study on classification of sleep stage based on EEG signals using feature selection and classification algorithms.

    PubMed

    Şen, Baha; Peker, Musa; Çavuşoğlu, Abdullah; Çelebi, Fatih V

    2014-03-01

    Sleep scoring is one of the most important diagnostic methods in psychiatry and neurology. Sleep staging is a time consuming and difficult task undertaken by sleep experts. This study aims to identify a method which would classify sleep stages automatically and with a high degree of accuracy and, in this manner, will assist sleep experts. This study consists of three stages: feature extraction, feature selection from EEG signals, and classification of these signals. In the feature extraction stage, it is used 20 attribute algorithms in four categories. 41 feature parameters were obtained from these algorithms. Feature selection is important in the elimination of irrelevant and redundant features and in this manner prediction accuracy is improved and computational overhead in classification is reduced. Effective feature selection algorithms such as minimum redundancy maximum relevance (mRMR); fast correlation based feature selection (FCBF); ReliefF; t-test; and Fisher score algorithms are preferred at the feature selection stage in selecting a set of features which best represent EEG signals. The features obtained are used as input parameters for the classification algorithms. At the classification stage, five different classification algorithms (random forest (RF); feed-forward neural network (FFNN); decision tree (DT); support vector machine (SVM); and radial basis function neural network (RBF)) classify the problem. The results, obtained from different classification algorithms, are provided so that a comparison can be made between computation times and accuracy rates. Finally, it is obtained 97.03 % classification accuracy using the proposed method. The results show that the proposed method indicate the ability to design a new intelligent assistance sleep scoring system.

  18. Concepts of Classification and Taxonomy Phylogenetic Classification

    NASA Astrophysics Data System (ADS)

    Fraix-Burnet, D.

    2016-05-01

    Phylogenetic approaches to classification have been heavily developed in biology by bioinformaticians. But these techniques have applications in other fields, in particular in linguistics. Their main characteristics is to search for relationships between the objects or species in study, instead of grouping them by similarity. They are thus rather well suited for any kind of evolutionary objects. For nearly fifteen years, astrocladistics has explored the use of Maximum Parsimony (or cladistics) for astronomical objects like galaxies or globular clusters. In this lesson we will learn how it works.

  19. Assessment of canine neonatal viability-the Apgar score.

    PubMed

    Veronesi, M C

    2016-09-01

    Perinatal mortality is relatively high in dogs, with deaths peaking around the time of birth and during the first week of age. Among the several causes of canine perinatal mortality, whelping is the greatest cause. Therefore, early neonatal assistance at birth should be mandatory with dogs. In comparison with human neonatology, knowledge and technological ability in canine neonatology is tremendously scarce. The Apgar score for the newborn viability assessment at birth represents a feasible method for the prompt recognition of newborns that will need special assistance immediately after birth. The five parameters of the Apgar score were adapted to the canine species by different studies. Advantages and limits, as well as clinical applications, are presented and discussed in further detail. It was concluded that the Apgar score represents the easiest and simplest, non-invasive and reliable method, that could be performed under every clinical and practical condition, for newborn puppies viability evaluations and short-term survival prognosis.

  20. Normal test scores in the Farnsworth-Munsell 100 hue test.

    PubMed

    Mantyjarvi, M

    2001-01-01

    One hundred and sixty persons aged from 10 to 69 years (106 women, 54 men) with healthy eyes were studied with the Farnsworth-Munsell 100 hue (FM100) test. The mean of the results in the total scores and in the individual box scores in the right and left eye were calculated. The total score was also separately calculated in women and men. The test was administered under the illumination of Macbeth Easel lamp, 1000 lux, and the right eye was tested first. The results were calculated in six different age groups, 10-19 years, 20-29 years, etc. The mean of the total scores in the right eye varied from 7.44+/-2.46 (SD) to 10.07+/-2.03 in different age groups and in the left eye from 7.56+/-2.36 to 10.16+/-2.68. The scores changed significantly with the age: the correlation between the age and the test scores by linear regression gave significant results, in the right eye (R = 0.308, P = 0.0001), and in the left eye (R = 0.246, P = 0.0021). The present study with the normal error scores in the FM100 test and its individual boxes in persons aged 10-69 years gives clinicians working with colour vision defects a possibility to estimate the normality or abnormality of the results in their patients.

  1. Midsagittal jaw movement analysis for the scoring of sleep apneas and hypopneas.

    PubMed

    Senny, Frédéric; Destiné, Jacques; Poirrier, Robert

    2008-01-01

    Given the importance of the detection and classification of sleep apneas and hypopneas (SAHs) in the diagnosis and the characterization of the SAH syndrome, there is a need for a reliable noninvasive technique measuring respiratory effort. This paper proposes a new method for the scoring of SAHs based on the recording of the midsagittal jaw motion (MJM, mouth opening) and on a dedicated automatic analysis of this signal. Continuous wavelet transform is used to quantize respiratory effort from the jaw motion, to detect salient mandibular movements related to SAHs and to delineate events which are likely to contain the respiratory events. The classification of the delimited events is performed using multilayer perceptrons which were trained and tested on sleep data from 34 recordings. Compared with SAHs scored manually by an expert, the sensitivity and specificity of the detection were 86.1% and 87.4%, respectively. Moreover, the overall classification agreement in the recognition of obstructive, central, and mixed respiratory events between the manual and automatic scorings was 73.1%. The MJM signal is hence a reliable marker of respiratory effort and allows an accurate detection and classification of SAHs.

  2. A/T/N: An unbiased descriptive classification scheme for Alzheimer disease biomarkers

    PubMed Central

    Bennett, David A.; Blennow, Kaj; Carrillo, Maria C.; Feldman, Howard H.; Frisoni, Giovanni B.; Hampel, Harald; Jagust, William J.; Johnson, Keith A.; Knopman, David S.; Petersen, Ronald C.; Scheltens, Philip; Sperling, Reisa A.; Dubois, Bruno

    2016-01-01

    Biomarkers have become an essential component of Alzheimer disease (AD) research and because of the pervasiveness of AD pathology in the elderly, the same biomarkers are used in cognitive aging research. A number of current issues suggest that an unbiased descriptive classification scheme for these biomarkers would be useful. We propose the “A/T/N” system in which 7 major AD biomarkers are divided into 3 binary categories based on the nature of the pathophysiology that each measures. “A” refers to the value of a β-amyloid biomarker (amyloid PET or CSF Aβ42); “T,” the value of a tau biomarker (CSF phospho tau, or tau PET); and “N,” biomarkers of neurodegeneration or neuronal injury ([18F]-fluorodeoxyglucose–PET, structural MRI, or CSF total tau). Each biomarker category is rated as positive or negative. An individual score might appear as A+/T+/N−, or A+/T−/N−, etc. The A/T/N system includes the new modality tau PET. It is agnostic to the temporal ordering of mechanisms underlying AD pathogenesis. It includes all individuals in any population regardless of the mix of biomarker findings and therefore is suited to population studies of cognitive aging. It does not specify disease labels and thus is not a diagnostic classification system. It is a descriptive system for categorizing multidomain biomarker findings at the individual person level in a format that is easy to understand and use. Given the present lack of consensus among AD specialists on terminology across the clinically normal to dementia spectrum, a biomarker classification scheme will have broadest acceptance if it is independent from any one clinically defined diagnostic scheme. PMID:27371494

  3. Committee Opinion No. 644: The Apgar Score.

    PubMed

    2015-10-01

    The Apgar score provides an accepted and convenient method for reporting the status of the newborn infant immediately after birth and the response to resuscitation if needed. The Apgar score alone cannot be considered to be evidence of or a consequence of asphyxia, does not predict individual neonatal mortality or neurologic outcome, and should not be used for that purpose. An Apgar score assigned during a resuscitation is not equivalent to a score assigned to a spontaneously breathing infant. The American Academy of Pediatrics and the American College of Obstetricians and Gynecologists encourage use of an expanded Apgar score reporting form that accounts for concurrent resuscitative interventions.

  4. Bias-Corrected Diagonal Discriminant Rules for High-Dimensional Classification

    PubMed Central

    Huang, Song; Tong, Tiejun; Zhao, Hongyu

    2011-01-01

    Summary Diagonal discriminant rules have been successfully used for high-dimensional classification problems, but suffer from the serious drawback of biased discriminant scores. In this paper, we propose improved diagonal discriminant rules with bias-corrected discriminant scores for high-dimensional classification. We show that the proposed discriminant scores dominate the standard ones under the quadratic loss function. Analytical results on why the bias-corrected rules can potentially improve the predication accuracy are also provided. Finally, we demonstrate the improvement of the proposed rules over the original ones through extensive simulation studies and real case studies. PMID:20222939

  5. Metabolic syndrome and dietary components are associated with coronary artery disease risk score in free-living adults: a cross-sectional study

    PubMed Central

    2011-01-01

    Background Coronary artery disease (CAD) is among the main causes of death in developed countries, and diet and lifestyle can influence CAD incidence. Objective To evaluate the association of coronary artery disease risk score with dietary, anthropometric and biochemical components in adults clinically selected for a lifestyle modification program. Methods 362 adults (96 men, 266 women, 53.9 ± 9.4 years) fulfilled the inclusion criteria by presenting all the required data. The Framingham score was calculated and the IV Brazilian Guideline on Dyslipidemia and Prevention of Atherosclerosis was adopted for classification of the CAD risks. Anthropometric assessments included waist circumference (WC), body fat and calculated BMI (kg/m2) and muscle-mass index (MMI kg/m2). Dietary intake was estimated through 24 h dietary recall. Fasting blood was used for biochemical analysis. Metabolic Syndrome (MS) was diagnosed using NCEP-ATPIII (2001) criteria. Logistic regression was used to determine the odds of CAD risks according to the altered components of MS, dietary, anthropometric, and biochemical components. Results For a sample with a BMI 28.5 ± 5.0 kg/m2 the association with lower risk (<10% CAD) were lower age (<60 years old), and plasma values of uric acid. The presence of MS within low, intermediary, and high CAD risk categories was 30.8%, 55.5%, and 69.8%, respectively. The independent risk factors associated with CAD risk score was MS and uric acid, and the protective factors were recommended intake of saturated fat and fiber and muscle mass index. Conclusion Recommended intake of saturated fat and dietary fiber, together with proper muscle mass, are inversely associated with CAD risk score. On the other hand, the presence of MS and high plasma uric acid are associated with CAD risk score. PMID:21554698

  6. Commission 45: Spectral Classification

    NASA Astrophysics Data System (ADS)

    Giridhar, Sunetra; Gray, Richard O.; Corbally, Christopher J.; Bailer-Jones, Coryn A. L.; Eyer, Laurent; Irwin, Michael J.; Kirkpatrick, J. Davy; Majewski, Steven; Minniti, Dante; Nordström, Birgitta

    This report gives an update of developments (since the last General Assembly at Prague) in the areas that are of relevance to the commission. In addition to numerous papers, a new monograph entitled Stellar Spectral Classification with Richard Gray and Chris Corbally as leading authors will be published by Princeton University Press as part of their Princeton Series in Astrophysics in April 2009. This book is an up-to-date and encyclopedic review of stellar spectral classification across the H-R diagram, including the traditional MK system in the blue-violet, recent extensions into the ultraviolet and infrared, the newly defined L-type and T-type spectral classes, as well as spectral classification of carbon stars, S-type stars, white dwarfs, novae, supernovae and Wolf-Rayet stars.

  7. Information gathering for CLP classification.

    PubMed

    Marcello, Ida; Giordano, Felice; Costamagna, Francesca Marina

    2011-01-01

    Regulation 1272/2008 includes provisions for two types of classification: harmonised classification and self-classification. The harmonised classification of substances is decided at Community level and a list of harmonised classifications is included in the Annex VI of the classification, labelling and packaging Regulation (CLP). If a chemical substance is not included in the harmonised classification list it must be self-classified, based on available information, according to the requirements of Annex I of the CLP Regulation. CLP appoints that the harmonised classification will be performed for carcinogenic, mutagenic or toxic to reproduction substances (CMR substances) and for respiratory sensitisers category 1 and for other hazard classes on a case-by-case basis. The first step of classification is the gathering of available and relevant information. This paper presents the procedure for gathering information and to obtain data. The data quality is also discussed.

  8. Conditional Reliability Coefficients for Test Scores.

    PubMed

    Nicewander, W Alan

    2017-04-06

    The most widely used, general index of measurement precision for psychological and educational test scores is the reliability coefficient-a ratio of true variance for a test score to the true-plus-error variance of the score. In item response theory (IRT) models for test scores, the information function is the central, conditional index of measurement precision. In this inquiry, conditional reliability coefficients for a variety of score types are derived as simple transformations of information functions. It is shown, for example, that the conditional reliability coefficient for an ordinary, number-correct score, X, is equal to, ρ(X,X'|θ)=I(X,θ)/[I(X,θ)+1] Where: θ is a latent variable measured by an observed test score, X; p(X, X'|θ) is the conditional reliability of X at a fixed value of θ; and I(X, θ) is the score information function. This is a surprisingly simple relationship between the 2, basic indices of measurement precision from IRT and classical test theory (CTT). This relationship holds for item scores as well as test scores based on sums of item scores-and it holds for dichotomous as well as polytomous items, or a mix of both item types. Also, conditional reliabilities are derived for computerized adaptive test scores, and for θ-estimates used as alternatives to number correct scores. These conditional reliabilities are all related to information in a manner similar-or-identical to the 1 given above for the number-correct (NC) score. (PsycINFO Database Record

  9. ADOPTION OF MELD SCORE INCREASES THE NUMBER OF LIVER TRANSPLANT

    PubMed Central

    NACIF, Lucas Souto; ANDRAUS, Wellington; MARTINO, Rodrigo Bronze; SANTOS, Vinicius Rocha; PINHEIRO, Rafael Soares; HADDAD, Luciana BP; D'ALBUQUERQUE, Luiz Carneiro

    2014-01-01

    Background Liver transplantation is performed at large transplant centers worldwide as a therapeutic intervention for patients with end-stage liver diseases. Aim To analyze the outcomes and incidence of liver transplantation performed at the University of São Paulo and to compare those with the State of São Paulo before and after adoption of the Model for End-Stage Liver Disease (MELD) score. Method Evaluation of the number of liver transplantations before and after adoption of the MELD score. Mean values and standard deviations were used to analyze normally distributed variables. The incidence results were compared with those of the State of São Paulo. Results There was a high prevalence of male patients, with a predominance of middle-aged. The main indication for liver transplantation was hepatitis C cirrhosis. The mean and median survival rates and overall survival over ten and five years were similar between the groups (p>0.05). The MELD score increased over the course of the study period for patients who underwent liver transplantation (p>0.05). There were an increased number of liver transplants after adoption of the MELD score at this institution and in the State of São Paulo (p<0.001). Conclusion The adoption of the MELD score led to increase the number of liver transplants performed in São Paulo. PMID:25184772

  10. Knowledge of and Attitudes toward Aging in Young, Middle-Aged, and Older College Students: A Comparison of Two Measures of Knowledge of Aging.

    ERIC Educational Resources Information Center

    O'Hanlon, Ann M.; And Others

    1993-01-01

    Palmore's Facts on Aging Quiz, Knowledge of Aging and the Elderly scale, and Aging Semantic Differential were completed by 387 college students aged 17-85. Knowledge scores were not related to measures of attitudes toward older adults. Older students had higher knowledge scores and more positive attitudes. (SK)

  11. Age, Sex, and Contact with Elderly Adults as Predictors of Knowledge about Psychological Aging.

    ERIC Educational Resources Information Center

    Peterson, Candida C.; And Others

    1988-01-01

    Tested Australian undergraduates' (N=179) knowledge of mental health in old age. Results showed women scored higher than men and scores rose with age and with contact when age was partialed out. Australian students averaged two more items correct than did the American students for whom the test was developed. (Author)

  12. ASH structure alignment package: Sensitivity and selectivity in domain classification

    PubMed Central

    Standley, Daron M; Toh, Hiroyuki; Nakamura, Haruki

    2007-01-01

    Background Structure alignment methods offer the possibility of measuring distant evolutionary relationships between proteins that are not visible by sequence-based analysis. However, the question of how structural differences and similarities ought to be quantified in this regard remains open. In this study we construct a training set of sequence-unique CATH and SCOP domains, from which we develop a scoring function that can reliably identify domains with the same CATH topology and SCOP fold classification. The score is implemented in the ASH structure alignment package, for which the source code and a web service are freely available from the PDBj website . Results The new ASH score shows increased selectivity and sensitivity compared with values reported for several popular programs using the same test set of 4,298,905 structure pairs, yielding an area of .96 under the receiver operating characteristic (ROC) curve. In addition, weak sequence homologies between similar domains are revealed that could not be detected by BLAST sequence alignment. Also, a subset of domain pairs is identified that exhibit high similarity, even though their CATH and SCOP classification differs. Finally, we show that the ranking of alignment programs based solely on geometric measures depends on the choice of the quality measure. Conclusion ASH shows high selectivity and sensitivity with regard to domain classification, an important step in defining distantly related protein sequence families. Moreover, the CPU cost per alignment is competitive with the fastest programs, making ASH a practical option for large-scale structure classification studies. PMID:17407606

  13. The Dynamics of the Evolution of the Black-White Test Score Gap

    ERIC Educational Resources Information Center

    Sohn, Kitae

    2012-01-01

    We apply a quantile version of the Oaxaca-Blinder decomposition to estimate the counterfactual distribution of the test scores of Black students. In the Early Childhood Longitudinal Study, Kindergarten Class of 1998-1999 (ECLS-K), we find that the gap initially appears only at the top of the distribution of test scores. As children age, however,…

  14. Examination of the Psychometric Properties of the Adult Manifest Anxiety Scale-Elderly Version Scores

    ERIC Educational Resources Information Center

    Lowe, Patricia A.; Reynolds, Cecil R.

    2006-01-01

    The psychometric properties of the Adult Manifest Anxiety Scale-Elderly Version (AMAS-E) scores were evaluated in two studies. In Study 1, the temporal stability and construct validity of the AMAS-E test scores were examined in a group of 226 older adults, aged 60 years and older. Results indicated adequate to excellent temporal stability (2-week…

  15. IQ and Perceptual Motor Scores as Predictors of Achievement Among Retarded Children

    ERIC Educational Resources Information Center

    Kelly, Thompson, J., Sr.; Amble, Bruce R.

    1970-01-01

    The Koppitz scoring of the Bender Gestalt Test for young children was used to predict educational attainment for 74 EMH students on reading, spelling, and arithmetic. Only on the arithmetic criterion did Bender scores increase prediction, beyond the factors of chronological age and IQ.

  16. The Koppitz Developmental Scoring System for the Bender-Gestalt: Is It Developmental?

    ERIC Educational Resources Information Center

    Taylor, Ronald L.; And Others

    1984-01-01

    Investigated the developmental aspects of the Koppitz scoring system with 652 children who took the Bender Motor Gestalt Test. Scores were fitted to various developmental curves by computer. Results indicated only 35 percent of the Bender test performance variance was accounted for by age. (JAC)

  17. The Implications of Family Size and Birth Order for Test Scores and Behavioral Development

    ERIC Educational Resources Information Center

    Silles, Mary A.

    2010-01-01

    This article, using longitudinal data from the National Child Development Study, presents new evidence on the effects of family size and birth order on test scores and behavioral development at age 7, 11 and 16. Sibling size is shown to have an adverse causal effect on test scores and behavioral development. For any given family size, first-borns…

  18. Factor Analysis of Temperament Category Scores in a Sample of Nursery School Children.

    ERIC Educational Resources Information Center

    Simonds, John F.; Simonds, M. Patricia

    1982-01-01

    Mothers of children attending nursery schools completed the Behavior Style Questionnaire (BSQ) from which scores for nine temperament categories were derived. Found membership in groups based on factor scores independent of sex, socioeconomic class, age but not ordinal birth position. (Author)

  19. Construct Validity Evidence for Bracken School Readiness Assessment, Third Edition, Spanish Form Scores

    ERIC Educational Resources Information Center

    Ortiz, Arlene; Clinton, Amanda; Schaefer, Barbara A.

    2015-01-01

    Convergent and discriminant validity evidence was examined for scores on the Spanish Record Form of the Bracken School Readiness Assessment, Third Edition (BSRA-3). Participants included a sample of 68 Hispanic, Spanish-speaking children ages 4 to 5 years enrolled in preschool programs in Puerto Rico. Scores obtained from the BSRA-3 Spanish Record…

  20. [Value of clinical scoring systems for evaluation of injury severity and as an instrument for quality management of severely injured patients].

    PubMed

    Bouillon, B; Neugebauer, E; Rixen, D; Lefering, R; Tiling, T

    1996-01-01

    Trauma Score Systems attempt to summarize the severity of injury in a single value. They provide a better classification of trauma patients and translate different severities of injury in a common language. They enable thereby comparisons between hospitals or trauma systems. Young doctors can control their clinical judgement with scoring systems and will gain experience. Scoring systems therefore increase safety and can help in decision making. As accuracy of scoring systems is never 100% individual decisions can never rely on scores only. Glasgow Coma Scale, Revised Trauma Score, Injury Severity Score and TRISS are the most often used international scores for severely injured patients. Their sensitivity and specificity, validity, reliability and practicability have been studied and proved in many trials. The role of these scoring systems for quality management purposes in the treatment of severe trauma is actually studied with the Trauma Registry of the German Society for Trauma Surgery.

  1. Usefulness of HATCH score in the prediction of new-onset atrial fibrillation for Asians

    PubMed Central

    Suenari, Kazuyoshi; Chao, Tze-Fan; Liu, Chia-Jen; Kihara, Yasuki; Chen, Tzeng-Ji; Chen, Shih-Ann

    2017-01-01

    Abstract The HATCH score (hypertension <1 point>, age >75 years <1 point>, stroke or transient ischemic attack <2 points>, chronic obstructive pulmonary disease <1 point>, and heart failure <2 points>) was reported to be useful for predicting the progression of atrial fibrillation (AF) from paroxysmal to persistent or permanent AF for patients who participated in the Euro Heart Survey. The goal of the current study was to investigate whether the HATCH score was a useful scheme in predicting new-onset AF. Furthermore, we aimed to use the HATCH scoring system to estimate the individual risk in developing AF for patients with different comorbidities. We used the “Taiwan National Health Insurance Research Database.” From January 1, 2000, to December 31, 2001, a total of 670,804 patients older than 20 years old and who had no history of cardiac arrhythmias were enrolled. According to the calculation rule of the HATCH score, 599,780 (score 0), 46,661 (score 1), 12,892 (score 2), 7456 (score 3), 2944 (score 4), 802 (score 5), 202 (score 6), and 67 (score 7) patients were studied and followed for the new onset of AF. During a follow-up of 9.0 ± 2.2 years, there were 9174 (1.4%) patients experiencing new-onset AF. The incidence of AF was 1.5 per 1000 patient-years. The incidence increased from 0.8 per 1000 patient-years for patients with a HATCH score of 0 to 57.3 per 1000 patient-years for those with a HATCH score of 7. After an adjustment for the gender and comorbidities, the hazard ratio (95% confidence interval) of each increment of the HATCH score in predicting AF was 2.059 (2.027–2.093; P < 0.001). The HATCH score was useful in risk estimation and stratification of new-onset AF. PMID:28072697

  2. Does Shamblin's classification predict postoperative morbidity in carotid body tumors? A proposal to modify Shamblin's classification.

    PubMed

    Luna-Ortiz, Kuauhyama; Rascon-Ortiz, Mario; Villavicencio-Valencia, Veronica; Herrera-Gomez, Angel

    2006-02-01

    The objective of this study was to analyze the possible correlation between Shamblin's classification and post-surgical morbidity in the treatment of carotid body tumors (CBTs). Seventy-two patients with carotid body tumors were seen over a 22-year period. Twenty-three patients were excluded as they did not comply with the criteria of the objectives. All patients were grouped according to Shamblin's classification. We propose a modification to this classification and make a comparison by analyzing the surgical time and bleeding, as well as the neurological and vascular damage. We resected 50 CBTs in 49 patients, ranging in age from 18 to 73 years. Three groups were formed: group I with 8 (16%) patients, group II with 17 (34%) and group III with 24 (49%). Post-surgical neurological damage was observed in one patient (12.5%) from group I, in six (35%) from group II and in nine patients (37.5%) from group III. Vascular sacrifice had to be performed in 21% of class II tumors and in 8.7% of class III. None of the class I tumors required vascular sacrifice. No statistically significant difference existed for vascular or neurological risk in relation to Shamblin's classification. However, when analyzed according to the classification proposed herein, there was a correlation between Shamblin's classification and vascular sacrifice (P =0.001). There was a statistically significant correlation between the original Shamblin and the modified Shamblin regarding surgical time and bleeding. Shamblin's classification predicts only vascular morbidity. Neurological morbidity is not reflected in it and only reflects the surgeon's experience with CBT resections. Surgical time and bleeding are directly related to the Shamblin as it reflects the size of tumors in relation to the blood vessels. Shamblin's classification must be modified to be more objective so that the international reports can accurately reflect the morbidity related to it.

  3. Rehabilitation after lower limb injury: development of a predictive score (RALLI score)

    PubMed Central

    Rouleau, Dominique M.; Place, Alexandre; Bérubé, Mélanie; Laflamme, Yves G.; Feldman, Debbie

    2015-01-01

    Background The purpose of our study was to identify the risk factors associated with the need for inpatient rehabilitation after lower limb injury to develop a predictive scoring tool for early identification of such patients. Methods We followed a prospective cohort of patients admitted to a level 1 trauma centre. Data were collected through chart review and a self-administered questionnaire on sociodemographics, patient living environment, pretrauma status, injury and treatment received. We compared patients who were discharged home with those going to rehabilitation after acute care. Analysis consisted of bivariate comparisons and logistic regression. Results Our study included 160 patients with a mean age of 56 years. A total of 40% were discharged to an inpatient rehabilitation centre. Factors associated with inpatient rehabilitation were low preinjury physical health status, concomitant injury of the upper limbs, bilateral lower limb injury, the use of a walking aid before injury, head injury and femur or pelvic fractures. We created a predictive score using the top 3 risk factors: upper limb injury, bilateral lower limb injury and presence of femoral or pelvic fractures. The chance of needing inpatient rehabilitation rose from 14% with 0 factors to 47% with 1 factor and 96% with 2 factors. Conclusion Rehabilitation planning should begin for patients exhibiting at least of 3 risk factors at the time of admission to acute care. Prospective validation of the tool is needed, but it has the potential to orient the multidisciplinary team’s decision on rehabilitation needs postdischarge. PMID:26204367

  4. Hybrid Classification of Pulmonary Nodules

    NASA Astrophysics Data System (ADS)

    Lee, S. L. A.; Kouzani, A. Z.; Hu, E. J.

    Automated classification of lung nodules is challenging because of the variation in shape and size of lung nodules, as well as their associated differences in their images. Ensemble based learners have demonstrated the potentialof good performance. Random forests are employed for pulmonary nodule classification where each tree in the forest produces a classification decision, and an integrated output is calculated. A classification aided by clustering approach is proposed to improve the lung nodule classification performance. Three experiments are performed using the LIDC lung image database of 32 cases. The classification performance and execution times are presented and discussed.

  5. Child Abuse: Its Relationship to Birthweight, Apgar Score, and Developmental Testing.

    ERIC Educational Resources Information Center

    Goldson, Edward; And Others

    1978-01-01

    The relationship of child abuse to birthweight, five-minute Apgar score, and performance on the Bayley Scales of Infant Development was studied in 75 low socioeconomic infants (ages 2-30 months). Journal availability: see EC 111 042. (Author)

  6. Are the Best Scores the Best Scores for Predicting College Success?

    ERIC Educational Resources Information Center

    Patterson, Brian F.; Mattern, Krista D.; Swerdzewski, Peter

    2012-01-01

    The College Board's SAT[R] Score Choice[TM] policy allows students to choose which set(s) of scores to send to colleges and universities to which they plan to apply. Based on data gathered before the implementation of that policy, the following study evaluated the predictive validity of the various sets of SAT scores. The value of five score sets…

  7. CD-HPF: New habitability score via data analytic modeling

    NASA Astrophysics Data System (ADS)

    Bora, K.; Saha, S.; Agrawal, S.; Safonova, M.; Routh, S.; Narasimhamurthy, A.

    2016-10-01

    The search for life on the planets outside the Solar System can be broadly classified into the following: looking for Earth-like conditions or the planets similar to the Earth (Earth similarity), and looking for the possibility of life in a form known or unknown to us (habitability). The two frequently used indices, Earth Similarity Index (ESI) and Planetary Habitability Index (PHI), describe heuristic methods to score habitability in the efforts to categorize different exoplanets (or exomoons). ESI, in particular, considers Earth as the reference frame for habitability, and is a quick screening tool to categorize and measure physical similarity of any planetary body with the Earth. The PHI assesses the potential habitability of any given planet, and is based on the essential requirements of known life: presence of a stable and protected substrate, energy, appropriate chemistry and a liquid medium. We propose here a different metric, a Cobb-Douglas Habitability Score (CDHS), based on Cobb-Douglas habitability production function (CD-HPF), which computes the habitability score by using measured and estimated planetary input parameters. As an initial set, we used radius, density, escape velocity and surface temperature of a planet. The values of the input parameters are normalized to the Earth Units (EU). The proposed metric, with exponents accounting for metric elasticity, is endowed with analytical properties that ensure global optima, and scales up to accommodate finitely many input parameters. The model is elastic, and, as we discovered, the standard PHI turns out to be a special case of the CDHS. Computed CDHS scores are fed to K-NN (K-Nearest Neighbor) classification algorithm with probabilistic herding that facilitates the assignment of exoplanets to appropriate classes via supervised feature learning methods, producing granular clusters of habitability. The proposed work describes a decision-theoretical model using the power of convex optimization and

  8. Oral phenotype and scoring of vascular Ehlers–Danlos syndrome: a case–control study

    PubMed Central

    Frank, Michael; Gogly, Bruno; Golmard, Lisa; Naveau, Adrien; Chérifi, Hafida; Emmerich, Joseph; Gaultier, Frédérick; Berdal, Ariane; Jeunemaitre, Xavier; Fournier, Benjamin P J

    2012-01-01

    Objective Vascular Ehlers–Danlos syndrome (vEDS) is a rare genetic condition related to mutations in the COL3A1 gene, responsible of vascular, digestive and uterine accidents. Difficulty of clinical diagnosis has led to the design of diagnostic criteria, summarised in the Villefranche classification. The goal was to assess oral features of vEDS. Gingival recession is the only oral sign recognised as a minor diagnostic criterion. The authors aimed to check this assumption since bibliographical search related to gingival recession in vEDS proved scarce. Design Prospective case–control study. Setting Dental surgery department in a French tertiary hospital. Participants 17 consecutive patients with genetically proven vEDS, aged 19–55 years, were compared with 46 age- and sex-matched controls. Observations Complete oral examination (clinical and radiological) with standardised assessment of periodontal structure, temporomandibular joint function and dental characteristics were performed. COL3A1 mutations were identified by direct sequencing of genomic or complementary DNA. Results Prevalence of gingival recession was low among patients with vEDS, as for periodontitis. Conversely, patients showed marked gingival fragility, temporomandibular disorders, dentin formation defects, molar root fusion and increased root length. After logistic regression, three variables remained significantly associated to vEDS. These variables were integrated in a diagnostic oral score with 87.5% and 97% sensitivity and specificity, respectively. Conclusions Gingival recession is an inappropriate diagnostic criterion for vEDS. Several new specific oral signs of the disease were identified, whose combination may be of greater value in diagnosing vEDS. PMID:22492385

  9. Does body mass index (BMI) influence the Ankylosing Spondylitis Disease Activity Score in axial spondyloarthritis?

    PubMed Central

    Rubio Vargas, Roxana; van den Berg, Rosaline; van Lunteren, Miranda; Ez-Zaitouni, Zineb; Bakker, Pauline A C; Dagfinrud, Hanne; Ramonda, Roberta; Landewé, Robert; Molenaar, Esmeralda; van Gaalen, Floris A; van der Heijde, Désirée

    2016-01-01

    Objective Obesity is associated with elevated C reactive protein (CRP) levels. The Ankylosing Spondylitis Disease Activity Score (ASDAS) combines patient-reported outcomes (PROs) and CRP. We evaluated the effect of body mass index (BMI) on CRP and on ASDAS, and studied if ASDAS can be used in obese axial spondyloarthritis (axSpA) patients to assess disease activity. Methods Baseline data of patients with chronic back pain of short duration included in the SPondyloArthritis Caught Early (SPACE) cohort were used. Collected data included BMI and ASDAS. Patients were classified according to the ASAS axSpA classification criteria and BMI (overweight ≥25 and obese ≥30). Correlation and linear regression analyses were performed to assess the relation between BMI and ASDAS. Linear regression models were performed to assess if age or gender were effect modifiers in the relation between BMI and CRP, and between BMI and ASDAS. Results In total, 428 patients were analysed (n=168 axSpA; n=260 no-axSpA). The mean age was 31.1 years, 36.9% were male, 26.4% were overweight and 13.3% obese, median CRP was 3 mg/L and the mean ASDAS was 2.6. Gender was the only factor modifying the relationship between BMI and CRP as BMI had an influence on CRP only in females (β=0.35; p<0.001). Correlations between BMI and CRP or PROs were generally weak, and only significant for CRP in female patients. BMI was not related to ASDAS in axSpA patients. Conclusions ASDAS is not affected by BMI in axSpA patients. Therefore, based on our data it is not necessary to take BMI in consideration when assessing disease activity using ASDAS in axSpA patients. PMID:27403336

  10. Flotation classification of ultrafine particles -- A novel classification approach

    SciTech Connect

    Qiu Guanzhou; Luo Lin; Hu Yuehua; Xu Jin; Wang Dianzuo

    1995-12-31

    This paper introduces a novel classification approach named the flotation classification approach which works by controlling interactions between particles. It differs considerably from the conventional classification processes operating on mechanical forces. In the present test, the micro-bubble flotation technology is grafted onto hydro-classification. Selective aggregation and dispersion of ultrafine particles are achieved through governing the interactions in the classification process. A series of laboratory classification tests for {minus}44 gm kaolin have been conducted on a classification column. As a result, about 92% recovery for minus 2 {micro}m size fraction Kaolin in the final product is obtained. In addition, two criteria for the classification are set up. Finally, a principle of classifying and controlling the interactions between particles is discussed in terms of surface thermodynamics and hydrodynamics.

  11. Digit symbol substitution test score and hyperhomocysteinemia in older adults

    PubMed Central

    Hsu, Wen-Chuin; Chu, Yi-Chuan; Fung, Hon-Chung; Wai, Yau-Yau; Wang, Jiun-Jie; Lee, Jiann-Der; Chen, Yi-Chun

    2016-01-01

    Abstract Mounting evidence shows that hyperhomocysteinemia is a risk factor for cognitive decline. This study enrolled subjects with normal serum levels of B12 and folate and performed thorough neuropsychological assessments to illuminate the independent role of homocysteine on cognitive functions. Participants between ages 50 and 85 were enrolled with Modified Hachinski ischemic score of <4, adequate visual and auditory acuity to allow neuropsychological testing, and good general health. Subjects with cognitive impairment resulting from secondary causes were excluded. Each of the participants completed evaluations of general intellectual function, including the Mini-Mental State Examination, Cognitive Abilities Screening Instrument, Clinical Dementia Rating, and a battery of neuropsychological assessments. This study enrolled 225 subjects (90 subjects younger than 65 years and 135 subjects aged 65 years or older). The sex proportion was similar between the 2 age groups. Years of education were significantly fewer in the elderly (7.49 ± 5.40 years) than in the young (9.76 ± 4.39 years, P = 0.001). There was no significant difference in body mass index or levels of vitamin B12 and folate between the 2 age groups. Homocysteine levels were significantly higher in the elderly group compared to the younger group (10.8 ± 2.7 vs. 9.5 ± 2.5 μmol/L, respectively, P = 0.0006). After adjusting for age, sex, and education, only the Digit Symbol Substitution (DSS) score was significantly lower in subjects with hyperhomocysteinemia (homocysteine >12 μmol/L) than those with homocysteine ≤12 μmol/L in the elderly group (DSS score: 7.1 ± 2.7 and 9.0 ± 3.0, respectively, beta = −1.6, 95% confidence interval [CI] = −2.8∼−0.5, P = 0.001) and borderline significance was noted in the combined age group (beta = −1.1, 95% CI = −2.1∼−0.1, P = 0.04). We did not find an association between

  12. The Mystery of the Z-Score.

    PubMed

    Curtis, Alexander E; Smith, Tanya A; Ziganshin, Bulat A; Elefteriades, John A

    2016-08-01

    Reliable methods for measuring the thoracic aorta are critical for determining treatment strategies in aneurysmal disease. Z-scores are a pragmatic alternative to raw diameter sizes commonly used in adult medicine. They are particularly valuable in the pediatric population, who undergo rapid changes in physical development. The advantage of the Z-score is its inclusion of body surface area (BSA) in determining whether an aorta is within normal size limits. Therefore, Z-scores allow us to determine whether true pathology exists, which can be challenging in growing children. In addition, Z-scores allow for thoughtful interpretation of aortic size in different genders, ethnicities, and geographical regions. Despite the advantages of using Z-scores, there are limitations. These include intra- and inter-observer bias, measurement error, and variations between alternative Z-score nomograms and BSA equations. Furthermore, it is unclear how Z-scores change in the normal population over time, which is essential when interpreting serial values. Guidelines for measuring aortic parameters have been developed by the American Society of Echocardiography Pediatric and Congenital Heart Disease Council, which may reduce measurement bias when calculating Z-scores for the aortic root. In addition, web-based Z-score calculators have been developed to aid in efficient Z-score calculations. Despite these advances, clinicians must be mindful of the limitations of Z-scores, especially when used to demonstrate beneficial treatment effect. This review looks to unravel the mystery of the Z-score, with a focus on the thoracic aorta. Here, we will discuss how Z-scores are calculated and the limitations of their use.

  13. The Mystery of the Z-Score

    PubMed Central

    Curtis, Alexander E.; Smith, Tanya A.; Ziganshin, Bulat A.; Elefteriades, John A.

    2016-01-01

    Reliable methods for measuring the thoracic aorta are critical for determining treatment strategies in aneurysmal disease. Z-scores are a pragmatic alternative to raw diameter sizes commonly used in adult medicine. They are particularly valuable in the pediatric population, who undergo rapid changes in physical development. The advantage of the Z-score is its inclusion of body surface area (BSA) in determining whether an aorta is within normal size limits. Therefore, Z-scores allow us to determine whether true pathology exists, which can be challenging in growing children. In addition, Z-scores allow for thoughtful interpretation of aortic size in different genders, ethnicities, and geographical regions. Despite the advantages of using Z-scores, there are limitations. These include intra- and inter-observer bias, measurement error, and variations between alternative Z-score nomograms and BSA equations. Furthermore, it is unclear how Z-scores change in the normal population over time, which is essential when interpreting serial values. Guidelines for measuring aortic parameters have been developed by the American Society of Echocardiography Pediatric and Congenital Heart Disease Council, which may reduce measurement bias when calculating Z-scores for the aortic root. In addition, web-based Z-score calculators have been developed to aid in efficient Z-score calculations. Despite these advances, clinicians must be mindful of the limitations of Z-scores, especially when used to demonstrate beneficial treatment effect. This review looks to unravel the mystery of the Z-score, with a focus on the thoracic aorta. Here, we will discuss how Z-scores are calculated and the limitations of their use. PMID:28097194

  14. Classification of primary articular chondrocalcinosis.

    PubMed

    Zitnan, D; Sitaj, S

    1979-01-01

    Based on long-term observations the authors submit a categorization of primary (hereditary and solitary) articular chondrocalcinosis into three different sub-populations. Attention is drawn to the fact that the extent of the qualitative disorder of the articular cartilage, obviously conditioned genetically, is linked with the age factor and determines the quantitative differences of pyrophosphate arthropathy in primary chondrocalcinosis. In young age, as a rule in the third decade, severe polyarticular condrocalcinosis (first sub-population) develops which causes relatively soon invalidity, in middle age (5th and 6th decade) milder condrocalcinosis develops (second sub-population) which combines with extraarticular, tendinous and tissue calcifacations, and finally in advanced age oligoarticular chondrocalcinosis develops (third sub-population) which is usually associated with ankylosing hyperostosis of the spine. Articular chondrocalcinosis (CCA) which we described by this term as a special metabolic arthropathy which occurs in families and solitary and which we defined as a special nosological unit (35, 36,) has become generally known and firmly established in rheumatology. As ensues from numerous publications, primary (idiopathic) CCA which comprises the hereditary and solitary (sporadic) form is characterized by pyrophosphate arthropathy which develops on articular cartilages not damaged by another process (13, 25, 26, 37); on the other hand as secondary CCA we consider pyrophosphate arthropathies which are associated with metabolic, endocrine or other diseases (9, 30). The common sign of both basic forms of CCA is the presence of microcrystals of calcium pyrophosphate dihydrate (CaPD) in articular cartilages, synovial fluid, or other articular structures (capsules, tendons, ligaments), characterized originally by McCarty et al. (11, 18) and later by other authors (2, 23, 27, 32). In addition to semantic (terminological) problems there were also questions of the

  15. Empirical Analysis and Automated Classification of Security Bug Reports

    NASA Technical Reports Server (NTRS)

    Tyo, Jacob P.

    2016-01-01

    With the ever expanding amount of sensitive data being placed into computer systems, the need for effective cybersecurity is of utmost importance. However, there is a shortage of detailed empirical studies of security vulnerabilities from which cybersecurity metrics and best practices could be determined. This thesis has two main research goals: (1) to explore the distribution and characteristics of security vulnerabilities based on the information provided in bug tracking systems and (2) to develop data analytics approaches for automatic classification of bug reports as security or non-security related. This work is based on using three NASA datasets as case studies. The empirical analysis showed that the majority of software vulnerabilities belong only to a small number of types. Addressing these types of vulnerabilities will consequently lead to cost efficient improvement of software security. Since this analysis requires labeling of each bug report in the bug tracking system, we explored using machine learning to automate the classification of each bug report as a security or non-security related (two-class classification), as well as each security related bug report as specific security type (multiclass classification). In addition to using supervised machine learning algorithms, a novel unsupervised machine learning approach is proposed. An ac- curacy of 92%, recall of 96%, precision of 92%, probability of false alarm of 4%, F-Score of 81% and G-Score of 90% were the best results achieved during two-class classification. Furthermore, an accuracy of 80%, recall of 80%, precision of 94%, and F-score of 85% were the best results achieved during multiclass classification.

  16. Links Among High EPDS Scores, State of Mind Regarding Attachment, and Symptoms of Personality Disorder.

    PubMed

    Smith-Nielsen, Johanne; Steele, Howard; Mehlhase, Heike; Cordes, Katharina; Steele, Miriam; Harder, Susanne; Væver, Mette Skovgaard

    2015-12-01

    Underlying persistent psychological difficulties have been found to moderate potential adverse effects of maternal postpartum depression (PPD) on parenting and infant development. The authors examined whether mothers presenting postpartum depressive symptoms showed higher levels of personality pathology and more insecure state of mind regarding attachment compared to nondepressed mothers. Participants (N = 85) were assessed with the Edinburgh Postnatal Depression Scale (EPDS), the Present State Examination, the Adult Attachment Interview, and the Structured Clinical Interview for DSM-IV Axis II. Mothers with high EPDS scores were more likely to have a preoccupied insecure state of mind and to have personality disorder compared with mothers scoring below clinical cutoff. Furthermore, multiple regression analysis showed that personality disorder and AAI classification were independently related to EPDS score, and that these two factors together accounted for 48% of the variance in EPDS score. Findings are discussed in terms of heterogeneity in PPD populations and underline the importance of examining potential coexisting psychological difficulties when studying PPD.

  17. Rapid Acute Physiology Score versus Rapid Emergency Medicine Score in Trauma Outcome Prediction; a Comparative Study

    PubMed Central

    Nakhjavan-Shahraki, Babak; Baikpour, Masoud; Yousefifard, Mahmoud; Nikseresht, Zahra Sadat; Abiri, Samaneh; Mirzay Razaz, Jalaledin; Faridaalaee, Gholamreza; Pouraghae, Mahboob; Shirzadegan, Sahar; Hosseini, Mostafa

    2017-01-01

    Introduction: Rapid acute physiology score (RAPS) and rapid emergency medicine score (REMS) are two physiologic models for measuring injury severity in emergency settings. The present study was designed to compare the two models in outcome prediction of trauma patients presenting to emergency department (ED). Methods: In this prospective cross-sectional study, the two models of RAPS and REMS were compared regarding prediction of mortality and poor outcome (severe disability based on Glasgow outcome scale) of trauma patients presenting to the EDs of 5 educational hospitals in Iran (Tehran, Tabriz, Urmia, Jahrom and Ilam) from May to October 2016. The discriminatory power and calibration of the models were calculated and compared using STATA 11. Results: 2148 patients with the mean age of 39.50±17.27 years were studied (75.56% males). The area under the curve of REMS and RAPS in predicting in-hospital mortality were calculated to be 0.93 (95% CI: 0.92-0.95) and 0.899 (95% CI: 0.86-0.93), respectively (p=0.02). These measures were 0.92 (95% CI: 0.90-0.94) and 0.86 (95% CI: 0.83-0.90), respectively, regarding poor outcome (p=0.001). The optimum cut-off point in predicting outcome was found to be 3 for REMS model and 2 for RAPS model. The sensitivity and specificity of REMS and RAPS in the mentioned cut offs were 95.93 vs. 85.37 and 77.63 vs. 83.51, respectively, in predicting mortality. Calibration and overall performance of the two models were acceptable. Conclusion: The present study showed that adding age and level of arterial oxygen saturation to the variables included in RAPS model can increase its predictive value. Therefore, it seems that REMS could be used for predicting mortality and poor outcome of trauma patients in emergency settings. PMID:28286837

  18. Romanticism as a function of age, sex, and ethnicity.

    PubMed

    Regan, Pamela C; Anguiano, Carlos

    2010-12-01

    This study examined the association between romanticism (operationalized as mean score on the Romantic Beliefs Scale) and age, sex, and ethnicity in a large community sample (N = 436). Age was negatively correlated with romanticism scores; as age increased, romanticism scores decreased. No sex differences were found; men and women had similar, moderate scores. Although ethnicity largely was unrelated to romanticism, Asian/Pacific Islander participants were significantly more romantic than were African-American participants.

  19. A pediatric echocardiographic Z-score nomogram for a developing country: Indian pediatric echocardiography study – The Z-score

    PubMed Central

    Gokhroo, Rajendra Kumar; Anantharaj, Avinash; Bisht, Devendra; Kishor, Kamal; Plakkal, Nishad; Aghoram, Rajeswari; Mondal, Nivedita; Pandey, Shashi K; Roy, Ramsagar

    2017-01-01

    Background: Almost all presently available pediatric echocardiography Z-score nomograms are based on Western data. They may not be a suitable reference standard for assessing the sizes of cardiac structures of children from developing countries. Objective: This study's objective was to collect normative data of 21 commonly measured cardiovascular structures using M-mode and two-dimensional echocardiography in Indian children aged between 4 and 15 years and to derive Z-score nomograms for each. Subjects and Methods: The study was conducted at two centers in India - Ajmer, Rajasthan, and Mohali, Punjab. We studied a community-based sample involving healthy school going children. After excluding children with cardiovascular abnormalities on the screening echocardiogram, 746 children were included in the final analysis. Echocardiographic assessment was performed using a Philips iE33 system. Results and Analysis: For each parameter measured, seven models were evaluated to assess the relationship of that parameter with the body surface area and the one with the best fit was used to plot the Z-score chart for that parameter. Z score charts were thus derived. Conclusions: The Z-score nomograms derived by this study may be better alternatives to the Western nomograms for use in India and other developing countries for preprocedural decision making in the pediatric population. However, they will require validation in large-scale studies before they can become clinically applicable. PMID:28163426

  20. The protein digestibility-corrected amino acid score.

    PubMed

    Schaafsma, G

    2000-07-01

    The protein digestibility-corrected amino acid score (PDCAAS) has been adopted by FAO/WHO as the preferred method for the measurement of the protein value in human nutrition. The method is based on comparison of the concentration of the first limiting essential amino acid in the test protein with the concentration of that amino acid in a reference (scoring) pattern. This scoring pattern is derived from the essential amino acid requirements of the preschool-age child. The chemical score obtained in this way is corrected for true fecal digestibility of the test protein. PDCAAS values higher than 100% are not accepted as such but are truncated to 100%. Although the principle of the PDCAAS method has been widely accepted, critical questions have been raised in the scientific community about a number of issues. These questions relate to 1) the validity of the preschool-age child amino acid requirement values, 2) the validity of correction for fecal instead of ileal digestibility and 3) the truncation of PDCAAS values to 100%. At the time of the adoption of the PDCAAS method, only a few studies had been performed on the amino acid requirements of the preschool-age child, and there is still a need for validation of the scoring pattern. Also, the scoring pattern does not include conditionally indispensable amino acids. These amino acids also contribute to the nutrition value of a protein. There is strong evidence that ileal, and not fecal, digestibility is the right parameter for correction of the amino acid score. The use of fecal digestibility overestimates the nutritional value of a protein, because amino acid nitrogen entering the colon is lost for protein synthesis in the body and is, at least in part, excreted in urine as ammonia. The truncation of PDCAAS values to 100% can be defended only for the limited number of situations in which the protein is to be used as the sole source of protein in the diet. For evaluation of the nutritional significance of proteins as

  1. Equivalent Diagnostic Classification Models

    ERIC Educational Resources Information Center

    Maris, Gunter; Bechger, Timo

    2009-01-01

    Rupp and Templin (2008) do a good job at describing the ever expanding landscape of Diagnostic Classification Models (DCM). In many ways, their review article clearly points to some of the questions that need to be answered before DCMs can become part of the psychometric practitioners toolkit. Apart from the issues mentioned in this article that…

  2. Shark Teeth Classification

    ERIC Educational Resources Information Center

    Brown, Tom; Creel, Sally; Lee, Velda

    2009-01-01

    On a recent autumn afternoon at Harmony Leland Elementary in Mableton, Georgia, students in a fifth-grade science class investigated the essential process of classification--the act of putting things into groups according to some common characteristics or attributes. While they may have honed these skills earlier in the week by grouping their own…

  3. The Classification Conundrum.

    ERIC Educational Resources Information Center

    Granger, Charles R.

    1983-01-01

    Argues against the five-kingdom scheme of classification as using inconsistent criteria, ending up with divisions that are forced, not natural. Advocates an approach using cell type/complexity and modification of the metabolic machinery, recommending the five-kingdom scheme as starting point for class discussion on taxonomy and its conceptual…

  4. Improving Student Question Classification

    ERIC Educational Resources Information Center

    Heiner, Cecily; Zachary, Joseph L.

    2009-01-01

    Students in introductory programming classes often articulate their questions and information needs incompletely. Consequently, the automatic classification of student questions to provide automated tutorial responses is a challenging problem. This paper analyzes 411 questions from an introductory Java programming course by reducing the natural…

  5. Soil Classification and Treatment.

    ERIC Educational Resources Information Center

    Clemson Univ., SC. Vocational Education Media Center.

    This instructional unit was designed to enable students, primarily at the secondary level, to (1) classify soils according to current capability classifications of the Soil Conservation Service, (2) select treatments needed for a given soil class according to current recommendations provided by the Soil Conservation Service, and (3) interpret a…

  6. The Biglan Classification Revisited.

    ERIC Educational Resources Information Center

    Stoecker, Judith L.

    This study replicated previous research that tested the validity of A. Biglan's classification scheme, a theoretical framework for empirically examining the differences among academic disciplines and classifying them according to three dimensions (hard-soft, pure-applied, life-nonlife). In addition, new data were used to attempt continued…

  7. Risk factors and classifications of hilar cholangiocarcinoma.

    PubMed

    Suarez-Munoz, Miguel Angel; Fernandez-Aguilar, Jose Luis; Sanchez-Perez, Belinda; Perez-Daga, Jose Antonio; Garcia-Albiach, Beatriz; Pulido-Roa, Ysabel; Marin-Camero, Naiara; Santoyo-Santoyo, Julio

    2013-07-15

    Cholangiocarcinoma is the second most common primary malignant tumor of the liver. Perihilar cholangiocarcinoma or Klatskin tumor represents more than 50% of all biliary tract cholangiocarcinomas. A wide range of risk factors have been identified among patients with Perihilar cholangiocarcinoma including advanced age, male gender, primary sclerosing cholangitis, choledochal cysts, cholelithiasis, cholecystitis, parasitic infection (Opisthorchis viverrini and Clonorchis sinensis), inflammatory bowel disease, alcoholic cirrhosis, nonalcoholic cirrhosis, chronic pancreatitis and metabolic syndrome. Various classifications have been used to describe the pathologic and radiologic appearance of cholangiocarcinoma. The three systems most commonly used to evaluate Perihilar cholangiocarcinoma are the Bismuth-Corlette (BC) system, the Memorial Sloan-Kettering Cancer Center and the TNM classification. The BC classification provides preoperative assessment of local spread. The Memorial Sloan-Kettering cancer center proposes a staging system according to three factors related to local tumor extent: the location and extent of bile duct involvement, the presence or absence of portal venous invasion, and the presence or absence of hepatic lobar atrophy. The TNM classification, besides the usual descriptors, tumor, node and metastases, provides additional information concerning the possibility for the residual tumor (R) and the histological grade (G). Recently, in 2011, a new consensus classification for the Perihilar cholangiocarcinoma had been published. The consensus was organised by the European Hepato-Pancreato-Biliary Association which identified the need for a new staging system for this type of tumors. The classification includes information concerning biliary or vascular (portal or arterial) involvement, lymph node status or metastases, but also other essential aspects related to the surgical risk, such as remnant hepatic volume or the possibility of underlying disease.

  8. The Chicago classification of motility disorders: an update.

    PubMed

    Roman, Sabine; Gyawali, C Prakash; Xiao, Yinglian; Pandolfino, John E; Kahrilas, Peter J

    2014-10-01

    The Chicago Classification defines esophageal motility disorders in high resolution manometry. This is based on individual scoring of 10 swallows performed in supine position. Disorders of esophago-gastric junction (EGJ) outflow obstruction are defined by a median integrated relaxation pressure above the limit of normal and divided into 3 achalasia subtypes and EGJ outflow obstruction. Major motility disorders (aperistalsis, distal esophageal spasm, and hypercontractile esophagus) are patterns not encountered in controls in the context of normal EGJ relaxation. Finally with the latest version of the Chicago Classification, only two minor motor disorders are considered: ineffective esophageal motility and fragmented peristalsis.

  9. Multiple Sparse Representations Classification

    PubMed Central

    Plenge, Esben; Klein, Stefan S.; Niessen, Wiro J.; Meijering, Erik

    2015-01-01

    Sparse representations classification (SRC) is a powerful technique for pixelwise classification of images and it is increasingly being used for a wide variety of image analysis tasks. The method uses sparse representation and learned redundant dictionaries to classify image pixels. In this empirical study we propose to further leverage the redundancy of the learned dictionaries to achieve a more accurate classifier. In conventional SRC, each image pixel is associated with a small patch surrounding it. Using these patches, a dictionary is trained for each class in a supervised fashion. Commonly, redundant/overcomplete dictionaries are trained and image patches are sparsely represented by a linear combination of only a few of the dictionary elements. Given a set of trained dictionaries, a new patch is sparse coded using each of them, and subsequently assigned to the class whose dictionary yields the minimum residual energy. We propose a generalization of this scheme. The method, which we call multiple sparse representations classification (mSRC), is based on the observation that an overcomplete, class specific dictionary is capable of generating multiple accurate and independent estimates of a patch belonging to the class. So instead of finding a single sparse representation of a patch for each dictionary, we find multiple, and the corresponding residual energies provides an enhanced statistic which is used to improve classification. We demonstrate the efficacy of mSRC for three example applications: pixelwise classification of texture images, lumen segmentation in carotid artery magnetic resonance imaging (MRI), and bifurcation point detection in carotid artery MRI. We compare our method with conventional SRC, K-nearest neighbor, and support vector machine classifiers. The results show that mSRC outperforms SRC and the other reference methods. In addition, we present an extensive evaluation of the effect of the main mSRC parameters: patch size, dictionary size, and

  10. Efficient Fingercode Classification

    NASA Astrophysics Data System (ADS)

    Sun, Hong-Wei; Law, Kwok-Yan; Gollmann, Dieter; Chung, Siu-Leung; Li, Jian-Bin; Sun, Jia-Guang

    In this paper, we present an efficient fingerprint classification algorithm which is an essential component in many critical security application systems e. g. systems in the e-government and e-finance domains. Fingerprint identification is one of the most important security requirements in homeland security systems such as personnel screening and anti-money laundering. The problem of fingerprint identification involves searching (matching) the fingerprint of a person against each of the fingerprints of all registered persons. To enhance performance and reliability, a common approach is to reduce the search space by firstly classifying the fingerprints and then performing the search in the respective class. Jain et al. proposed a fingerprint classification algorithm based on a two-stage classifier, which uses a K-nearest neighbor classifier in its first stage. The fingerprint classification algorithm is based on the fingercode representation which is an encoding of fingerprints that has been demonstrated to be an effective fingerprint biometric scheme because of its ability to capture both local and global details in a fingerprint image. We enhance this approach by improving the efficiency of the K-nearest neighbor classifier for fingercode-based fingerprint classification. Our research firstly investigates the various fast search algorithms in vector quantization (VQ) and the potential application in fingerprint classification, and then proposes two efficient algorithms based on the pyramid-based search algorithms in VQ. Experimental results on DB1 of FVC 2004 demonstrate that our algorithms can outperform the full search algorithm and the original pyramid-based search algorithms in terms of computational efficiency without sacrificing accuracy.

  11. Automatic figure classification in bioscience literature.

    PubMed

    Kim, Daehyun; Ramesh, Balaji Polepalli; Yu, Hong

    2011-10-01

    Millions of figures appear in biomedical articles, and it is important to develop an intelligent figure search engine to return relevant figures based on user entries. In this study we report a figure classifier that automatically classifies biomedical figures into five predefined figure types: Gel-image, Image-of-thing, Graph, Model, and Mix. The classifier explored rich image features and integrated them with text features. We performed feature selection and explored different classification models, including a rule-based figure classifier, a supervised machine-learning classifier, and a multi-model classifier, the latter of which integrated the first two classifiers. Our results show that feature selection improved figure classification and the novel image features we explored were the best among image features that we have examined. Our results also show that integrating text and image features achieved better performance than using either of them individually. The best system is a multi-model classifier which combines the rule-based hierarchical classifier and a support vector machine (SVM) based classifier, achieving a 76.7% F1-score for five-type classification. We demonstrated our system at http://figureclassification.askhermes.org/.

  12. Classification of thermal environments for comfort assessment.

    PubMed

    Lenzuni, Paolo; Freda, Daniela; Del Gaudio, Michele

    2009-06-01

    According to ISO 7730:2005, classification is a mandatory precondition for thermal comfort assessment since the appropriate criterion depends on which category the specific work situation (SWS) investigated belongs to. Unfortunately, while the standard does include three different comfort criteria, it does not indicate how the appropriate criterion should be selected. This paper presents a classification scheme that allows thermal comfort assessment to be reliably performed in any environment. The model is based on an algorithm that calculates a score by means of a weighted product of three quantities, each one taking care of a specific, highly relevant element: the subject's thermal sensitivity, the accuracy required for carrying out the task and the practicality of thermal control. The scheme's simple modular structure can easily accommodate both changes and additions, should other hypothetical elements be identified to be as relevant to the classification scheme. The model presented allows a modulation of comfort levels across different social groups. It is so possible to provide extra care for children, elderly, pregnant women, disabled and other 'weak' categories, as required by ISO/TS 14415:2005, by setting the highest comfort level. Finally, it also widens the options for simultaneously establishing comfort conditions for different individuals performing different tasks in the same area and clarifies whose comfort should be pursued with the highest priority.

  13. Multiple Organ Dysfunction Score Is Superior to the Obstetric-Specific Sepsis in Obstetrics Score in Predicting Mortality in Septic Obstetric Patients

    PubMed Central

    Ryan, Helen M.; Magee, Laura A.; von Dadelszen, Peter; Fjell, Chris; Walley, Keith R.

    2017-01-01

    Objectives: Mortality prediction scores have been used for a long time in ICUs; however, numerous studies have shown that they over-predict mortality in the obstetric population. With sepsis remaining a major cause of obstetric mortality, we aimed to look at five mortality prediction scores (one obstetric-based and four general) in the septic obstetric population and compare them to a nonobstetric septic control group. Subject and Design: Women in the age group of 16–50 years with an admission diagnosis or suspicion of sepsis were included. In a multicenter obstetric population (n = 797), these included all pregnant and postpartum patients up to 6 weeks postpartum. An age- and gender-matched control nonobstetric population was drawn from a single-center general critical care population (n = 2,461). Sepsis in Obstetric Score, Acute Physiology and Chronic Health Evaluation II, Simplified Acute Physiology Score II, Sequential Organ Failure Assessment, and Multiple Organ Dysfunction Scores were all applied to patients meeting inclusion criteria in both cohorts, and their area under the receiver-operator characteristic curves was calculated to find the most accurate predictor. Measurements and Main Results: A total of 146 septic patients were found for the obstetric cohort and 299 patients for the nonobstetric control cohort. The Sepsis in Obstetric Score, Acute Physiology and Chronic Health Evaluation II, Simplified Acute Physiology Score II, Sequential Organ Failure Assessment, and Multiple Organ Dysfunction Scores gave area under the receiver-operator characteristic curves of 0.67, 0.68, 0.72, 0.79, and 0.84 in the obstetric cohort, respectively, and 0.64, 0.72, 0.61, 0.78, and 0.74 in the nonobstetric cohort, respectively. The Sepsis in Obstetric Score performed similarly to all the other scores with the exception of the Multiple Organ Dysfunction Score, which was significantly better (p < 0.05). Conclusion: The Sepsis in Obstetric Score, designed specifically for

  14. [Classification of primary bone tumors].

    PubMed

    Dominok, G W; Frege, J

    1986-01-01

    An expanded classification for bone tumors is presented based on the well known international classification as well as earlier systems. The current status and future trends in this area are discussed.

  15. Automatic Classification in Information Retrieval.

    ERIC Educational Resources Information Center

    van Rijsbergen, C. J.

    1978-01-01

    Addresses the application of automatic classification methods to the problems associated with computerized document retrieval. Different kinds of classifications are described, and both document and term clustering methods are discussed. References and notes are provided. (Author/JD)

  16. Classification: Purposes, Principles, Progress, Prospects

    ERIC Educational Resources Information Center

    Sokal, Robert R.

    1974-01-01

    Clustering and other new techniques have changed classificatory principles and practice in many sciences. Discussed are defintions, purposes of classification, principles of classification, and recent trends. (Author/RH)

  17. Learning Predictive Interactions Using Information Gain and Bayesian Network Scoring

    PubMed Central

    Jiang, Xia; Jao, Jeremy; Neapolitan, Richard

    2015-01-01

    Background The problems of correlation and classification are long-standing in the fields of statistics and machine learning, and techniques have been developed to address these problems. We are now in the era of high-dimensional data, which is data that can concern billions of variables. These data present new challenges. In particular, it is difficult to discover predictive variables, when each variable has little marginal effect. An example concerns Genome-wide Association Studies (GWAS) datasets, which involve millions of single nucleotide polymorphism (SNPs), where some of the SNPs interact epistatically to affect disease status. Towards determining these interacting SNPs, researchers developed techniques that addressed this specific problem. However, the problem is more general, and so these techniques are applicable to other problems concerning interactions. A difficulty with many of these techniques is that they do not distinguish whether a learned interaction is actually an interaction or whether it involves several variables with strong marginal effects. Methodology/Findings We address this problem using information gain and Bayesian network scoring. First, we identify candidate interactions by determining whether together variables provide more information than they do separately. Then we use Bayesian network scoring to see if a candidate interaction really is a likely model. Our strategy is called MBS-IGain. Using 100 simulated datasets and a real GWAS Alzheimer’s dataset, we investigated the performance of MBS-IGain. Conclusions/Significance When analyzing the simulated datasets, MBS-IGain substantially out-performed nine previous methods at locating interacting predictors, and at identifying interactions exactly. When analyzing the real Alzheimer’s dataset, we obtained new results and results that substantiated previous findings. We conclude that MBS-IGain is highly effective at finding interactions in high-dimensional datasets. This result is

  18. Comparison of educationally handicapped students scores on the Revised Developmental Test of Visual-Motor Integration and Bender-Gestalt.

    PubMed

    Breen, M J

    1982-06-01

    32 elementary-aged boys enrolled in a program for the emotionally disturbed were administered the Revised Beery and Bender-Gestalt. A significant correlation of .73 was found between Beery and Bender age-equivalent scores. A t test for correlated data indicated mean scores did not differ significantly from one another, but scores were quite varied. The implications of such variability are discussed.

  19. FRESCO: flexible alignment with rectangle scoring schemes.

    PubMed

    Dalca, A V; Brudno, M

    2008-01-01

    While the popular DNA sequence alignment tools incorporate powerful heuristics to allow for fast and accurate alignment of DNA, most of them still optimize the classical Needleman Wunsch scoring scheme. The development of novel scoring schemes is often hampered by the difficulty of finding an optimizing algorithm for each non-trivial scheme. In this paper we define the broad class of rectangle scoring schemes, and describe an algorithm and tool that can align two sequences with an arbitrary rectangle scoring scheme in polynomial time. Rectangle scoring schemes encompass some of the popular alignment scoring metrics currently in use, as well as many other functions. We investigate a novel scoring function based on minimizing the expected number of random diagonals observed with the given scores and show that it rivals the LAGAN and Clustal-W aligners, without using any biological or evolutionary parameters. The FRESCO program, freely available at http://compbio.cs.toronto.edu/fresco, gives bioinformatics researchers the ability to quickly compare the performance of other complex scoring formulas without having to implement new algorithms to optimize them.

  20. The Development of a Gridded Weather Typing Classification Scheme

    NASA Astrophysics Data System (ADS)

    Lee, Cameron C.

    Since their development in the 1990s, gridded reanalysis data sets have proven quite useful for a broad range of synoptic climatological analyses, especially those utilizing a map pattern classification approach. However, their use in broad-scale, surface weather typing classifications and applications have not yet been explored. This research details the development of such a gridded weather typing classification (GWTC) scheme using North American Regional Reanalysis data for 1979-2010 for the continental United States. Utilizing eight-times daily observations of temperature, dew point, pressure, cloud cover, u-wind and v-wind components, the GWTC categorizes the daily surface weather of 2,070 locations into one of 11 discrete weather types, nine core types and two transitional types, that remain consistent throughout the domain. Due to the use of an automated deseasonalized z-score initial typing procedure, the character of each type is both geographically and seasonally relative, allowing each core weather type to occur at every location, at any time of the year. Diagnostic statistics reveal a high degree of spatial cohesion among the weather types classified at neighboring locations, along with an effective partitioning of the climate variability of individual locations (via a Variability Skill Score metric) into these 11 weather types. Daily maps of the spatial distribution of GWTC weather types across the United States correspond well to traditional surface weather maps, and comparisons of the GWTC with the Spatial Synoptic Classification are also favorable. While the potential future utility of the classification is expected to be primarily for the resultant calendars of daily weather types at specific locations, the automation of the methodology allows the classification to be easily repeatable, and therefore, easily transportable to other locations, atmospheric levels, and data sets (including output from gridded general circulation models). Further, the

  1. A Simple Screening Score for Diabetes for the Korean Population

    PubMed Central

    Lee, Yong-ho; Bang, Heejung; Kim, Hyeon Chang; Kim, Hee Man; Park, Seok Won; Kim, Dae Jung

    2012-01-01

    OBJECTIVE We developed and validated a self-assessment score for diabetes risk in Korean adults and compared it with other established screening models. RESEARCH DESIGN AND METHODS The Korea National Health and Nutrition Examination Survey (KNHANES) 2001 and 2005 data were used to develop a diabetes screening score. After excluding patients with known diabetes, 9,602 participants aged ≥20 years were selected. Undiagnosed diabetes was defined as a fasting plasma glucose ≥126 mg/dL and/or nonfasting plasma glucose ≥200 mg/dL. The SAS Survey Logistic Regression analysis was used to determine predictors of undiagnosed diabetes (n = 341). We validated our model and compared it with other existing methods using the KNHANES 2007–2008 data (n = 8,391). RESULTS Age, family history of diabetes, hypertension, waist circumference, smoking, and alcohol intake were independently associated with undiagnosed diabetes. We calculated a diabetes screening score (range 0–11), and a cut point of ≥5 defined 47% of adults as being at high risk for diabetes and yielded a sensitivity of 81%, specificity of 54%, positive predictive value of 6%, and positive likelihood ratio of 1.8 (area under the curve [AUC] = 0.73). Comparable results were obtained in validation datasets (sensitivity 80%, specificity 53%, and AUC = 0.73), showing better performance than other non-Asian models from the U.S. or European population. CONCLUSIONS This self-assessment score may be useful for identifying Korean adults at high risk for diabetes. Additional studies are needed to evaluate the utility and feasibility of this score in various settings. PMID:22688547

  2. Defining Neurocognitive Impairment in HIV: Deficit Scores versus Clinical Ratings

    PubMed Central

    Blackstone, K.; Moore, D. J.; Franklin, D. R.; Clifford, D. B.; Collier, A. C.; Marra, C. M.; Gelman, B. B.; McArthur, J. C.; Morgello, S.; Simpson, D. M.; Ellis, R. J.; Atkinson, J. H.; Grant, I.; Heaton, R. K.

    2012-01-01

    Background Because HIV-related neurocognitive impairment is usually mild and variable, clinical ratings (CR) and global deficit scores (GDS) are recommended for detecting HIV-associated neurocognitive disorders (HAND). The CR-approach requires impairment in at least two ability domains; GDS considers number and severity of impairments across all measures. We examined classification agreement and clinical correlates of the two methods. Method Neurocognitive functioning of 1574 HIV-infected participants was assessed via a comprehensive, seven-domain neuropsychological battery. Global neurocognitive impairment was defined for each participant independently by CR and GDS. Participants were classified into four categories (Dually-normal, impaired by CR-only, impaired by GDS-only, or Dually-impaired). Results There was 83% concordance between CR and GDS classifications; in total, 56% of participants were deemed impaired by CR and 41% were classified as impaired by GDS. Impairment by GDS virtually guaranteed CR impairment, but 16% of participants were additionally classified as impaired only by CR. As compared to Dually-normal participants, those classified as Dually and CR-only impaired were more likely to have AIDS, have more severe co-occurring conditions, have more severe depressive symptoms, be unemployed, and have more everyday functioning complaints (ps < 0.05). Conclusion Impairment classifications of the two methods were in high agreement; however, more people were classified as impaired using the CR-approach compared to the GDS approach, and those impaired according to CR-only showed fewer neurocognitive and functional deficits than the Dually-impaired participants. The CR approach may be most appropriate for detecting more subtle forms of neurocognitive impairment. Clinicians and researchers should recognize the strengths and weaknesses of each method when evaluating neurocognitive complications in HIV. PMID:22708483

  3. Reading List in Classification Theory.

    ERIC Educational Resources Information Center

    Richmond, Phyllis A.

    The reading list contains 180 references and serves as an introduction to classification research literature. While the list includes major viewpoints on basic work in the field of classification as well as related areas, it excludes critical literature. The major divisions of the reading list are: (1) Definition: What is Classification, (2)…

  4. Comparing Canadian and American normative scores on the Wechsler Adult Intelligence Scale-Fourth Edition.

    PubMed

    Harrison, Allyson G; Armstrong, Irene T; Harrison, Laura E; Lange, Rael T; Iverson, Grant L

    2014-12-01

    Psychologists practicing in Canada must decide which set of normative data to use for the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV). The purpose of this study was to compare the interpretive effects of applying American versus Canadian normative systems in a sample of 432 Canadian postsecondary-level students who were administered the WAIS-IV as part of an evaluation for a learning disability, attention-deficit hyperactivity disorder, or other mental health problems. Employing the Canadian normative system yielded IQ, Index, and subtest scores that were systematically lower than those obtained using the American norms. Furthermore, the percentage agreement in normative classifications, defined as American and Canadian index scores within five points or within the same classification range, was between 49% and 76%. Substantial differences are present between the American and Canadian WAIS-IV norms. Clinicians should consider carefully the implications regarding which normative system is most appropriate for specific types of evaluations.

  5. Neuropsychological test scores, academic performance, and developmental disorders in Spanish-speaking children.

    PubMed

    Rosselli, M; Ardila, A; Bateman, J R; Guzmán, M

    2001-01-01

    Limited information is currently available about performance of Spanish-speaking children on different neuropsychological tests. This study was designed to (a) analyze the effects of age and sex on different neuropsychological test scores of a randomly selected sample of Spanish-speaking children, (b) analyze the value of neuropsychological test scores for predicting school performance, and (c) describe the neuropsychological profile of Spanish-speaking children with learning disabilities (LD). Two hundred ninety (141 boys, 149 girls) 6- to 11-year-old children were selected from a school in Bogotá, Colombia. Three age groups were distinguished: 6- to 7-, 8- to 9-, and 10- to 11-year-olds. Performance was measured utilizing the following neuropsychological tests: Seashore Rhythm Test, Finger Tapping Test (FTT), Grooved Pegboard Test, Children's Category Test (CCT), California Verbal Learning Test-Children's Version (CVLT-C), Benton Visual Retention Test (BVRT), and Bateria Woodcock Psicoeducativa en Español (Woodcock, 1982). Normative scores were calculated. Age effect was significant for most of the test scores. A significant sex effect was observed for 3 test scores. Intercorrelations were performed between neuropsychological test scores and academic areas (science, mathematics, Spanish, social studies, and music). In a post hoc analysis, children presenting very low scores on the reading, writing, and arithmetic achievement scales of the Woodcock battery were identified in the sample, and their neuropsychological test scores were compared with a matched normal group. Finally, a comparison was made between Colombian and American norms.

  6. Scoring Dawg Core Breakoff and Retention Mechanism

    NASA Technical Reports Server (NTRS)

    Badescu, Mircea; Sherrit, Stewart; Bar-Cohen, Yoseph; Bao, Xiaoqi; Backes, Paul G.

    2011-01-01

    This novel core break-off and retention mechanism consists of a scoring dawg controlled by a set of two tubes (a drill tube and an inner tube). The drill tube and the inner tube have longitudinal concentric holes. The solution can be implemented in an eccentric tube configuration as well where the tubes have eccentric longitudinal holes. The inner tube presents at the bottom two control surfaces for controlling the orientation of the scoring dawg. The drill tube presents a sunk-in profile on the inside of the wall for housing the scoring dawg. The inner tube rotation relative to the drill tube actively controls the orientation of the scoring dawg and hence its penetration and retrieval from the core. The scoring dawg presents a shaft, two axially spaced arms, and a tooth. The two arms slide on the control surfaces of the inner tube. The tooth, when rotated, can penetrate or be extracted from the core. During drilling, the two tubes move together maintaining the scoring dawg completely outside the core. After the desired drilling depth has been reached the inner tube is rotated relative to the drill tube such that the tooth of the scoring dawg moves toward the central axis. By rotating the drill tube, the scoring dawg can score the core and so reduce its cross sectional area. The scoring dawg can also act as a stress concentrator for breaking the core in torsion or tension. After breaking the core, the scoring dawg can act as a core retention mechanism. For scoring, it requires the core to be attached to the rock. If the core is broken, the dawg can be used as a retention mechanism. The scoring dawg requires a hard-tip insert like tungsten carbide for scoring hard rocks. The relative rotation of the two tubes can be controlled manually or by an additional actuator. In the implemented design solution the bit rotation for scoring was in the same direction as the drilling. The device was tested for limestone cores and basalt cores. The torque required for breaking the

  7. A Risk Score for Predicting Multiple Sclerosis

    PubMed Central

    Dobson, Ruth; Ramagopalan, Sreeram; Topping, Joanne; Smith, Paul; Solanky, Bhavana; Schmierer, Klaus; Chard, Declan; Giovannoni, Gavin

    2016-01-01

    Objective Multiple sclerosis (MS) develops as a result of environmental influences on the genetically susceptible. Siblings of people with MS have an increased risk of both MS and demonstrating asymptomatic changes in keeping with MS. We set out to develop an MS risk score integrating both genetic and environmental risk factors. We used this score to identify siblings at extremes of MS risk and attempted to validate the score using brain MRI. Methods 78 probands with MS, 121 of their unaffected siblings and 103 healthy controls were studied. Personal history was taken, and serological and genetic analysis using the illumina immunochip was performed. Odds ratios for MS associated with each risk factor were derived from existing literature, and the log values of the odds ratios from each of the risk factors were combined in an additive model to provide an overall score. Scores were initially calculated using log odds ratio from the HLA-DRB1*1501 allele only, secondly using data from all MS-associated SNPs identified in the 2011 GWAS. Subjects with extreme risk scores underwent validation studies. MRI was performed on selected individuals. Results There was a significant difference in the both risk scores between people with MS, their unaffected siblings and healthy controls (p<0.0005). Unaffected siblings had a risk score intermediate to people with MS and controls (p<0.0005). The best performing risk score generated an AUC of 0.82 (95%CI 0.75–0.88). Interpretations The risk score demonstrates an AUC on the threshold for clinical utility. Our score enables the identification of a high-risk sibling group to inform pre-symptomatic longitudinal studies. PMID:27802296

  8. Widening clinical applications of the SYNTAX Score.

    PubMed

    Farooq, Vasim; Head, Stuart J; Kappetein, Arie Pieter; Serruys, Patrick W

    2014-02-01

    The SYNTAX Score (http://www.syntaxscore.com) has established itself as an anatomical based tool for objectively determining the complexity of coronary artery disease and guiding decision-making between coronary artery bypass graft (CABG) surgery and percutaneous coronary intervention (PCI). Since the landmark SYNTAX (Synergy between PCI with Taxus and Cardiac Surgery) Trial comparing CABG with PCI in patients with complex coronary artery disease (unprotected left main or de novo three vessel disease), numerous validation studies have confirmed the clinical validity of the SYNTAX Score for identifying higher-risk subjects and aiding decision-making between CABG and PCI in a broad range of patient types. The SYNTAX Score is now advocated in both the European and US revascularisation guidelines for decision-making between CABG and PCI as part of a SYNTAX-pioneered heart team approach. Since establishment of the SYNTAX Score, widening clinical applications of this clinical tool have emerged. The purpose of this review is to systematically examine the widening applications of tools based on the SYNTAX Score: (1) by improving the diagnostic accuracy of the SYNTAX Score by adding a functional assessment of lesions; (2) through amalgamation of the anatomical SYNTAX Score with clinical variables to enhance decision-making between CABG and PCI, culminating in the development and validation of the SYNTAX Score II, in which objective and tailored decisions can be made for the individual patient; (3) through assessment of completeness of revascularisation using the residual and post-CABG SYNTAX Scores for PCI and CABG patients, respectively. Finally, the future direction of the SYNTAX Score is covered through discussion of the ongoing development of a non-invasive, functional SYNTAX Score and review of current and planned clinical trials.

  9. Stability and Change in the Cognitive and Adaptive Behaviour Scores of Preschoolers with Autism Spectrum Disorder.

    PubMed

    Flanagan, Helen E; Smith, Isabel M; Vaillancourt, Tracy; Duku, Eric; Szatmari, Peter; Bryson, Susan; Fombonne, Eric; Mirenda, Pat; Roberts, Wendy; Volden, Joanne; Waddell, Charlotte; Zwaigenbaum, Lonnie; Bennett, Teresa; Elsabbagh, Mayada; Georgiades, Stelios

    2015-09-01

    We examined the stability of cognitive and adaptive behaviour standard scores in children with autism spectrum disorder (ASD) between diagnosis and school entry approximately age 6. IQ increased 18 points in 2-year-olds, 12 points in 3-year-olds, and 9 points in 4-year-olds (N = 281). Adaptive behaviour scores increased 4 points across age groups (N = 289). At school entry, 24 % of children met criteria for intellectual disability (cognitive and adaptive behaviour scores <70). No children with both scores ≥70 at diagnosis later met criteria for intellectual disability. Outcomes were more variable for children with initial delays in both areas (in 57 %, both scores remained <70). Findings are relevant to clinical decision-making, including specification of intellectual disability in young children with ASD.

  10. Detection of Mild Traumatic Brain Injury by Machine Learning Classification Using Resting State Functional Network Connectivity and Fractional Anisotropy.

    PubMed

    Vergara, Victor M; Mayer, Andrew R; Damaraju, Eswar; Kiehl, Kent A; Calhoun, Vince

    2017-03-01

    Traumatic brain injury (TBI) may adversely affect a person's thinking, memory, personality, and behavior. While mild TBI (mTBI) diagnosis is challenging, there is a risk for long-term psychiatric, neurologic, and psychosocial problems in some patients that motivates the search for new and better biomarkers. Recently, diffusion magnetic resonance imaging (dMRI) has shown promise in detecting mTBI, but its validity is still being investigated. Resting state functional network connectivity (rsFNC) is another approach that is emerging as a promising option for the diagnosis of mTBI. The present work investigated the use of rsFNC for mTBI detection compared with dMRI results on the same cohort. Fifty patients with mTBI (25 males) and age-sex matched healthy controls were recruited. Features from dMRI were obtained using all voxels, the enhanced Z-score microstructural assessment for pathology, and the distribution corrected Z-score. Features based on rsFNC were obtained through group independent component analysis and correlation between pairs of resting state networks. A linear support vector machine was used for classification and validated using leave-one-out cross validation. Classification achieved a maximum accuracy of 84.1% for rsFNC and 75.5% for dMRI and 74.5% for both combined. A t test analysis revealed significant increase in rsFNC between cerebellum versus sensorimotor networks and between left angular gyrus versus precuneus in subjects with mTBI. These outcomes suggest that inclusion of both common and unique information is important for classification of mTBI. Results also suggest that rsFNC can yield viable biomarkers that might outperform dMRI and points to connectivity to the cerebellum as an important region for the detection of mTBI.

  11. Modified Balance Error Scoring System (M-BESS) test scores in athletes wearing protective equipment and cleats

    PubMed Central

    Azad, Aftab Mohammad; Al Juma, Saad; Bhatti, Junaid Ahmad; Delaney, J Scott

    2016-01-01

    Background Balance testing is an important part of the initial concussion assessment. There is no research on the differences in Modified Balance Error Scoring System (M-BESS) scores when tested in real world as compared to control conditions. Objective To assess the difference in M-BESS scores in athletes wearing their protective equipment and cleats on different surfaces as compared to control conditions. Methods This cross-sectional study examined university North American football and soccer athletes. Three observers independently rated athletes performing the M-BESS test in three different conditions: (1) wearing shorts and T-shirt in bare feet on firm surface (control); (2) wearing athletic equipment with cleats on FieldTurf; and (3) wearing athletic equipment with cleats on firm surface. Mean M-BESS scores were compared between conditions. Results 60 participants were recruited: 39 from football (all males) and 21 from soccer (11 males and 10 females). Average age was 21.1 years (SD=1.8). Mean M-BESS scores were significantly lower (p<0.001) for cleats on FieldTurf (mean=26.3; SD=2.0) and for cleats on firm surface (mean=26.6; SD=2.1) as compared to the control condition (mean=28.4; SD=1.5). Females had lower scores than males for cleats on FieldTurf condition (24.9 (SD=1.9) vs 27.3 (SD=1.6), p=0.005). Players who had taping or bracing on their ankles/feet had lower scores when tested with cleats on firm surface condition (24.6 (SD=1.7) vs 26.9 (SD=2.0), p=0.002). Conclusions Total M-BESS scores for athletes wearing protective equipment and cleats standing on FieldTurf or a firm surface are around two points lower than M-BESS scores performed on the same athletes under control conditions. PMID:27900181

  12. Gestational age

    MedlinePlus

    Fetal age - gestational age; Gestation; Neonatal gestational age; Newborn gestational age ... Gestational age can be determined before or after birth. Before birth, your health care provider will use ultrasound to ...

  13. Aging Skin

    MedlinePlus

    ... email address Submit Home > Healthy Aging > Wellness Healthy Aging Aging skin More information on aging skin When it ... treated early. Return to top More information on Aging skin Read more from womenshealth.gov Varicose Veins ...

  14. A Hybrid Sensing Approach for Pure and Adulterated Honey Classification

    PubMed Central

    Subari, Norazian; Saleh, Junita Mohamad; Shakaff, Ali Yeon Md; Zakaria, Ammar

    2012-01-01

    This paper presents a comparison between data from single modality and fusion methods to classify Tualang honey as pure or adulterated using Linear Discriminant Analysis (LDA) and Principal Component Analysis (PCA) statistical classification approaches. Ten different brands of certified pure Tualang honey were obtained throughout peninsular Malaysia and Sumatera, Indonesia. Various concentrations of two types of sugar solution (beet and cane sugar) were used in this investigation to create honey samples of 20%, 40%, 60% and 80% adulteration concentrations. Honey data extracted from an electronic nose (e-nose) and Fourier Transform Infrared Spectroscopy (FTIR) were gathered, analyzed and compared based on fusion methods. Visual observation of classification plots revealed that the PCA approach able to distinct pure and adulterated honey samples better than the LDA technique. Overall, the validated classification results based on FTIR data (88.0%) gave higher classification accuracy than e-nose data (76.5%) using the LDA technique. Honey classification based on normalized low-level and intermediate-level FTIR and e-nose fusion data scored classification accuracies of 92.2% and 88.7%, respectively using the Stepwise LDA method. The results suggested that pure and adulterated honey samples were better classified using FTIR and e-nose fusion data than single modality data. PMID:23202033

  15. Validation of scores of use of inhalation devices: valoration of errors *

    PubMed Central

    Zambelli-Simões, Letícia; Martins, Maria Cleusa; Possari, Juliana Carneiro da Cunha; Carvalho, Greice Borges; Coelho, Ana Carla Carvalho; Cipriano, Sonia Lucena; de Carvalho-Pinto, Regina Maria; Cukier, Alberto; Stelmach, Rafael

    2015-01-01

    Abstract Objective: To validate two scores quantifying the ability of patients to use metered dose inhalers (MDIs) or dry powder inhalers (DPIs); to identify the most common errors made during their use; and to identify the patients in need of an educational program for the use of these devices. Methods: This study was conducted in three phases: validation of the reliability of the inhaler technique scores; validation of the contents of the two scores using a convenience sample; and testing for criterion validation and discriminant validation of these instruments in patients who met the inclusion criteria. Results: The convenience sample comprised 16 patients. Interobserver disagreement was found in 19% and 25% of the DPI and MDI scores, respectively. After expert analysis on the subject, the scores were modified and were applied in 72 patients. The most relevant difficulty encountered during the use of both types of devices was the maintenance of total lung capacity after a deep inhalation. The degree of correlation of the scores by observer was 0.97 (p < 0.0001). There was good interobserver agreement in the classification of patients as able/not able to use a DPI (50%/50% and 52%/58%; p < 0.01) and an MDI (49%/51% and 54%/46%; p < 0.05). Conclusions: The validated scores allow the identification and correction of inhaler technique errors during consultations and, as a result, improvement in the management of inhalation devices. PMID:26398751

  16. Polychotomous Responses and the Test Score.

    ERIC Educational Resources Information Center

    Samejima, Fumiko

    Traditionally, the test score represented by the number of items answered correctly was taken as an indicator of the examinee's ability level. Researchers still tend to think that the number-correct score is a way of ordering individuals with respect to the latent trait. The objective of this study is to depict the benefits of using ability…

  17. Observed Score Linear Equating with Covariates

    ERIC Educational Resources Information Center

    Branberg, Kenny; Wiberg, Marie

    2011-01-01

    This paper examined observed score linear equating in two different data collection designs, the equivalent groups design and the nonequivalent groups design, when information from covariates (i.e., background variables correlated with the test scores) was included. The main purpose of the study was to examine the effect (i.e., bias, variance, and…

  18. Factor Score Reliabilities and Domain Validities.

    ERIC Educational Resources Information Center

    Gorsuch, Richard L.

    1980-01-01

    Kaiser and Michael reported a formula for factor scores giving an internal consistency reliability and its square root, the domain validity. Using this formula is inappropriate if variables are included which have trival weights rather than salient weights for the factor for which the score is being computed. (Author/RL)

  19. More Issues in Observed-Score Equating

    ERIC Educational Resources Information Center

    van der Linden, Wim J.

    2013-01-01

    This article is a response to the commentaries on the position paper on observed-score equating by van der Linden (this issue). The response focuses on the more general issues in these commentaries, such as the nature of the observed scores that are equated, the importance of test-theory assumptions in equating, the necessity to use multiple…

  20. Enriching Automated Essay Scoring Using Discourse Marking.

    ERIC Educational Resources Information Center

    Burstein, Jill; Kukich, Karen; Wolff, Susanne; Lu, Chi; Chodorow, Martin

    Electronic Essay Rater (e-rater) is a prototype automated essay scoring system built at Educational Testing Service that uses discourse marking in addition to syntactic information and topical content vector analyses to assign essay scores automatically. This paper gives a general description of e-rater as a whole, but its emphasis is on the…

  1. Predicting Latent Class Scores for Subsequent Analysis

    ERIC Educational Resources Information Center

    Petersen, Janne; Bandeen-Roche, Karen; Budtz-Jorgensen, Esben; Larsen, Klaus Groes

    2012-01-01

    Latent class regression models relate covariates and latent constructs such as psychiatric disorders. Though full maximum likelihood estimation is available, estimation is often in three steps: (i) a latent class model is fitted without covariates; (ii) latent class scores are predicted; and (iii) the scores are regressed on covariates. We propose…

  2. Using Empirical Data to Set Cutoff Scores.

    ERIC Educational Resources Information Center

    Hills, John R.

    Six experimental approaches to the problems of setting cutoff scores and choosing proper test length are briefly mentioned. Most of these methods share the premise that a test is a random sample of items, from a domain associated with a carefully specified objective. Each item is independent and is scored zero or one, with no provision for…

  3. Bayesian Model Averaging for Propensity Score Analysis

    ERIC Educational Resources Information Center

    Kaplan, David; Chen, Jianshen

    2013-01-01

    The purpose of this study is to explore Bayesian model averaging in the propensity score context. Previous research on Bayesian propensity score analysis does not take into account model uncertainty. In this regard, an internally consistent Bayesian framework for model building and estimation must also account for model uncertainty. The…

  4. Toward More Substantively Meaningful Automated Essay Scoring

    ERIC Educational Resources Information Center

    Ben-Simon, Anat; Bennett, Randy Elliott

    2007-01-01

    This study evaluated a "substantively driven" method for scoring NAEP writing assessments automatically. The study used variations of an existing commercial program, e-rater[R], to compare the performance of three approaches to automated essay scoring: a "brute-empirical" approach in which variables are selected and weighted solely according to…

  5. Coefficient Alpha and Reliability of Scale Scores

    ERIC Educational Resources Information Center

    Almehrizi, Rashid S.

    2013-01-01

    The majority of large-scale assessments develop various score scales that are either linear or nonlinear transformations of raw scores for better interpretations and uses of assessment results. The current formula for coefficient alpha (a; the commonly used reliability coefficient) only provides internal consistency reliability estimates of raw…

  6. Causal Moderation Analysis Using Propensity Score Methods

    ERIC Educational Resources Information Center

    Dong, Nianbo

    2012-01-01

    This paper is based on previous studies in applying propensity score methods to study multiple treatment variables to examine the causal moderator effect. The propensity score methods will be demonstrated in a case study to examine the causal moderator effect, where the moderators are categorical and continuous variables. Moderation analysis is an…

  7. Bayesian Model Averaging for Propensity Score Analysis.

    PubMed

    Kaplan, David; Chen, Jianshen

    2014-01-01

    This article considers Bayesian model averaging as a means of addressing uncertainty in the selection of variables in the propensity score equation. We investigate an approximate Bayesian model averaging approach based on the model-averaged propensity score estimates produced by the R package BMA but that ignores uncertainty in the propensity score. We also provide a fully Bayesian model averaging approach via Markov chain Monte Carlo sampling (MCMC) to account for uncertainty in both parameters and models. A detailed study of our approach examines the differences in the causal estimate when incorporating noninformative versus informative priors in the model averaging stage. We examine these approaches under common methods of propensity score implementation. In addition, we evaluate the impact of changing the size of Occam's window used to narrow down the range of possible models. We also assess the predictive performance of both Bayesian model averaging propensity score approaches and compare it with the case without Bayesian model averaging. Overall, results show that both Bayesian model averaging propensity score approaches recover the treatment effect estimates well and generally provide larger uncertainty estimates, as expected. Both Bayesian model averaging approaches offer slightly better prediction of the propensity score compared with the Bayesian approach with a single propensity score equation. Covariate balance checks for the case study show that both Bayesian model averaging approaches offer good balance. The fully Bayesian model averaging approach also provides posterior probability intervals of the balance indices.

  8. Model feedback in Bayesian propensity score estimation.

    PubMed

    Zigler, Corwin M; Watts, Krista; Yeh, Robert W; Wang, Yun; Coull, Brent A; Dominici, Francesca

    2013-03-01

    Methods based on the propensity score comprise one set of valuable tools for comparative effectiveness research and for estimating causal effects more generally. These methods typically consist of two distinct stages: (1) a propensity score stage where a model is fit to predict the propensity to receive treatment (the propensity score), and (2) an outcome stage where responses are compared in treated and untreated units having similar values of the estimated propensity score. Traditional techniques conduct estimation in these two stages separately; estimates from the first stage are treated as fixed and known for use in the second stage. Bayesian methods have natural appeal in these settings because separate likelihoods for the two stages can be combined into a single joint likelihood, with estimation of the two stages carried out simultaneously. One key feature of joint estimation in this context is "feedback" between the outcome stage and the propensity score stage, meaning that quantities in a model for the outcome contribute information to posterior distributions of quantities in the model for the propensity score. We provide a rigorous assessment of Bayesian propensity score estimation to show that model feedback can produce poor estimates of causal effects absent strategies that augment propensity score adjustment with adjustment for individual covariates. We illustrate this phenomenon with a simulation study and with a comparative effectiveness investigation of carotid artery stenting versus carotid endarterectomy among 123,286 Medicare beneficiaries hospitlized for stroke in 2006 and 2007.

  9. Methodological Approaches to Online Scoring of Essays.

    ERIC Educational Resources Information Center

    Chung, Gregory K. W. K.; O'Neil, Harold F., Jr.

    This report examines the feasibility of scoring essays using computer-based techniques. Essays have been incorporated into many of the standardized testing programs. Issues of validity and reliability must be addressed to deploy automated approaches to scoring fully. Two approaches that have been used to classify documents, surface- and word-based…

  10. Factor Scores, Structure Coefficients, and Communality Coefficients

    ERIC Educational Resources Information Center

    Goodwyn, Fara

    2012-01-01

    This paper presents heuristic explanations of factor scores, structure coefficients, and communality coefficients. Common misconceptions regarding these topics are clarified. In addition, (a) the regression (b) Bartlett, (c) Anderson-Rubin, and (d) Thompson methods for calculating factor scores are reviewed. Syntax necessary to execute all four…

  11. 24 CFR 902.9 - PHAS scoring.

    Code of Federal Regulations, 2011 CFR

    2011-04-01

    ... indicators: Physical condition, financial condition, management operations, and the Capital Fund program... a single score for the physical condition, financial condition, and management operations indicators.... The score for this indicator is obtained as indicated in subpart B of this part. (2) The...

  12. Intelligence Score Profiles of Female Juvenile Offenders

    ERIC Educational Resources Information Center

    Werner, Shelby Spare; Hart, Kathleen J.; Ficke, Susan L.

    2016-01-01

    Previous studies have found that male juvenile offenders typically obtain low scores on measures of intelligence, often with a pattern of higher scores on measures of nonverbal relative to verbal tasks. The research on the intelligence performance of female juvenile offenders is limited. This study explored the Wechsler Intelligence Scale for…

  13. Little Jiffy Factor Scores and Domain Validities

    ERIC Educational Resources Information Center

    Kaiser, Henry F.; Michael, William B.

    1977-01-01

    A formula is derived for ascertaining factor scores for the factor analytic method: Little Jiffy, Mark IV. This formula is then employed to derive a second formula giving an exact determination of the generalized Kuder-Richardson estimate of the reliability of scores on a Little Jiffy factor. (Author/JKS)

  14. Geometric facial gender scoring: objectivity of perception.

    PubMed

    Gilani, Syed Zulqarnain; Rooney, Kathleen; Shafait, Faisal; Walters, Mark; Mian, Ajmal

    2014-01-01

    Gender score is the cognitive judgement of the degree of masculinity or femininity of a face which is considered to be a continuum. Gender scores have long been used in psychological studies to understand the complex psychosocial relationships between people. Perceptual scores for gender and attractiveness have been employed for quality assessment and planning of cosmetic facial surgery. Various neurological disorders have been linked to the facial structure in general and the facial gender perception in particular. While, subjective gender scoring by human raters has been a tool of choice for psychological studies for many years, the process is both time and resource consuming. In this study, we investigate the geometric features used by the human cognitive system in perceiving the degree of masculinity/femininity of a 3D face. We then propose a mathematical model that can mimic the human gender perception. For our experiments, we obtained 3D face scans of 64 subjects using the 3dMDface scanner. The textureless 3D face scans of the subjects were then observed in different poses and assigned a gender score by 75 raters of a similar background. Our results suggest that the human cognitive system employs a combination of Euclidean and geodesic distances between biologically significant landmarks of the face for gender scoring. We propose a mathematical model that is able to automatically assign an objective gender score to a 3D face with a correlation of up to 0.895 with the human subjective scores.

  15. Validation of Automated Scoring of Oral Reading

    ERIC Educational Resources Information Center

    Balogh, Jennifer; Bernstein, Jared; Cheng, Jian; Van Moere, Alistair; Townshend, Brent; Suzuki, Masanori

    2012-01-01

    A two-part experiment is presented that validates a new measurement tool for scoring oral reading ability. Data collected by the U.S. government in a large-scale literacy assessment of adults were analyzed by a system called VersaReader that uses automatic speech recognition and speech processing technologies to score oral reading fluency. In the…

  16. Automated Protein Subfamily Identification and Classification

    PubMed Central

    Brown, Duncan P; Krishnamurthy, Nandini; Sjölander, Kimmen

    2007-01-01

    Function prediction by homology is widely used to provide preliminary functional annotations for genes for which experimental evidence of function is unavailable or limited. This approach has been shown to be prone to systematic error, including percolation of annotation errors through sequence databases. Phylogenomic analysis avoids these errors in function prediction but has been difficult to automate for high-throughput application. To address this limitation, we present a computationally efficient pipeline for phylogenomic classification of proteins. This pipeline uses the SCI-PHY (Subfamily Classification in Phylogenomics) algorithm for automatic subfamily identification, followed by subfamily hidden Markov model (HMM) construction. A simple and computationally efficient scoring scheme using family and subfamily HMMs enables classification of novel sequences to protein families and subfamilies. Sequences representing entirely novel subfamilies are differentiated from those that can be classified to subfamilies in the input training set using logistic regression. Subfamily HMM parameters are estimated using an information-sharing protocol, enabling subfamilies containing even a single sequence to benefit from conservation patterns defining the family as a whole or in related subfamilies. SCI-PHY subfamilies correspond closely to functional subtypes defined by experts and to conserved clades found by phylogenetic analysis. Extensive comparisons of subfamily and family HMM performances show that subfamily HMMs dramatically improve the separation between homologous and non-homologous proteins in sequence database searches. Subfamily HMMs also provide extremely high specificity of classification and can be used to predict entirely novel subtypes. The SCI-PHY Web server at http://phylogenomics.berkeley.edu/SCI-PHY/ allows users to upload a multiple sequence alignment for subfamily identification and subfamily HMM construction. Biologists wishing to provide their own

  17. [Nutrition, aging, old age].

    PubMed

    Iván, L

    1998-12-06

    In humans there is evidence that the restriction of total caloric intake appears to be more important than the restriction of any particular macronutrient. Today the mechanism of the effect of caloric restriction is unknown. With advancing age and the occurrence of concomitant illness there is an increased risk of developing nutritional deficiencies. Altered nutritional status is associated with the pathogenesis of a number of common diseases of the elderly, thus it would appear that nutritional modulation and manipulation represents one possible approach to successful aging and a healthy longevity. The conceptual framework of the paper suggests the need of a newer light of the aging processes namely by a holistic human-gero-ecological model and a personality oriented geriatry. There are accentuated the role of the nutrients and vitamins, the food intake and drug-nutrients interactions and the meanings of the differences between the normal and pathological aging.

  18. Tree Classification Software

    NASA Technical Reports Server (NTRS)

    Buntine, Wray

    1993-01-01

    This paper introduces the IND Tree Package to prospective users. IND does supervised learning using classification trees. This learning task is a basic tool used in the development of diagnosis, monitoring and expert systems. The IND Tree Package was developed as part of a NASA project to semi-automate the development of data analysis and modelling algorithms using artificial intelligence techniques. The IND Tree Package integrates features from CART and C4 with newer Bayesian and minimum encoding methods for growing classification trees and graphs. The IND Tree Package also provides an experimental control suite on top. The newer features give improved probability estimates often required in diagnostic and screening tasks. The package comes with a manual, Unix 'man' entries, and a guide to tree methods and research. The IND Tree Package is implemented in C under Unix and was beta-tested at university and commercial research laboratories in the United States.

  19. Ectoparasites and classification.

    PubMed

    Hopla, C E; Durden, L A; Keirans, J E

    1994-12-01

    The authors present an introductory overview of the principal groups of ectoparasites (flukes, leeches, crustaceans, insects, arachnids, lampreys and vampire bats) associated with domestic animals. Currently-accepted higher-level classifications are outlined for these parasites. Almost all significant ectoparasites of domestic animals are invertebrates, the majority being arthropods (crustaceans, insects and arachnids). Some of these ectoparasites are of particular importance as vectors of pathogens. Many ectoparasite species are host-specific, and vector species typically transmit characteristic pathogens.

  20. Granular loess classification based

    SciTech Connect

    Browzin, B.S.

    1985-05-01

    This paper discusses how loess might be identified by two index properties: the granulometric composition and the dry unit weight. These two indices are necessary but not always sufficient for identification of loess. On the basis of analyses of samples from three continents, it was concluded that the 0.01-0.5-mm fraction deserves the name loessial fraction. Based on the loessial fraction concept, a granulometric classification of loess is proposed. A triangular chart is used to classify loess.

  1. Cautious Collective Classification

    DTIC Science & Technology

    2009-12-01

    topics ). c©2009 Luke K. McDowell, Kalyan Moy Gupta, and David W. Aha. Report Documentation Page Form ApprovedOMB No. 0704-0188 Public reporting burden...11. SPONSOR/MONITOR’S REPORT NUMBER(S) 12. DISTRIBUTION/AVAILABILITY STATEMENT Approved for public release; distribution unlimited 13 ...classification tasks, such 2779 MCDOWELL, GUPTA AND AHA as predicting the topic of a publication or the group membership of a person (Koller et al., 2007

  2. Repulsive-SVDD Classification

    DTIC Science & Technology

    2015-05-22

    Canberra, ACT 2601, Australia dat.tran@canberra.edu.au Abstract. Support vector data description (SVDD) is a well-known ker- nel method that constructs a...for the proposed method . Keywords: Repulsive SVDD · Support vector data description · Sup- port vector machine · Classification 1 Introduction...estimate the support of a high-dimensional distribution. Although this method uses a maximal-margin hyperplane instead of a hypersphere to separate the

  3. Propensity score analysis with missing data.

    PubMed

    Cham, Heining; West, Stephen G

    2016-09-01

    Propensity score analysis is a method that equates treatment and control groups on a comprehensive set of measured confounders in observational (nonrandomized) studies. A successful propensity score analysis reduces bias in the estimate of the average treatment effect in a nonrandomized study, making the estimate more comparable with that obtained from a randomized experiment. This article reviews and discusses an important practical issue in propensity analysis, in which the baseline covariates (potential confounders) and the outcome have missing values (incompletely observed). We review the statistical theory of propensity score analysis and estimation methods for propensity scores with incompletely observed covariates. Traditional logistic regression and modern machine learning methods (e.g., random forests, generalized boosted modeling) as estimation methods for incompletely observed covariates are reviewed. Balance diagnostics and equating methods for incompletely observed covariates are briefly described. Using an empirical example, the propensity score estimation methods for incompletely observed covariates are illustrated and compared. (PsycINFO Database Record

  4. Propensity score weighting with multilevel data.

    PubMed

    Li, Fan; Zaslavsky, Alan M; Landrum, Mary Beth

    2013-08-30

    Propensity score methods are being increasingly used as a less parametric alternative to traditional regression to balance observed differences across groups in both descriptive and causal comparisons. Data collected in many disciplines often have analytically relevant multilevel or clustered structure. The propensity score, however, was developed and has been used primarily with unstructured data. We present and compare several propensity-score-weighted estimators for clustered data, including marginal, cluster-weighted, and doubly robust estimators. Using both analytical derivations and Monte Carlo simulations, we illustrate bias arising when the usual assumptions of propensity score analysis do not hold for multilevel data. We show that exploiting the multilevel structure, either parametrically or nonparametrically, in at least one stage of the propensity score analysis can greatly reduce these biases. We applied these methods to a study of racial disparities in breast cancer screening among beneficiaries of Medicare health plans.

  5. A Bayesian Approach to Learning Scoring Systems.

    PubMed

    Ertekin, Şeyda; Rudin, Cynthia

    2015-12-01

    We present a Bayesian method for building scoring systems, which are linear models with coefficients that have very few significant digits. Usually the construction of scoring systems involve manual effort-humans invent the full scoring system without using data, or they choose how logistic regression coefficients should be scaled and rounded to produce a scoring system. These kinds of heuristics lead to suboptimal solutions. Our approach is different in that humans need only specify the prior over what the coefficients should look like, and the scoring system is learned from data. For this approach, we provide a Metropolis-Hastings sampler that tends to pull the coefficient values toward their "natural scale." Empirically, the proposed method achieves a high degree of interpretability of the models while maintaining competitive generalization performances.

  6. Scores of Brazilian University students on the Beck Depression and the State Trait Anxiety Inventories.

    PubMed

    Gorenstein, C; Pompéia, S; Andrade, L

    1995-10-01

    The profiles of the Beck Depression Inventory and State-Trait Anxiety Inventory scores were obtained for a sample of Brazilian university students and compared with those of other studies. Subjects were 270 students from various universities in São Paulo, age 23.8 yr. (SD=6.7 yr.). The mean Beck score for the total sample was 8.5 (SD=7.0); according to the cut-off score of 16, 86.9% were considered normal, 7.5% had scores compatible with dysphoria, and 5.6% had scores indicative of depression. The mean State-Trait Anxiety score for the total sample was 40.7 (SD=8.6). Considering one standard deviation as the threshold point, 17.8% published data indicated that the Portugese versions of the questionnaires are equivalent to original versions.

  7. Screen for child anxiety related emotional disorders: are subscale scores reliable? A bifactor model analysis.

    PubMed

    DeSousa, Diogo Araújo; Zibetti, Murilo Ricardo; Trentini, Clarissa Marceli; Koller, Silvia Helena; Manfro, Gisele Gus; Salum, Giovanni Abrahão

    2014-12-01

    The aim of this study was to investigate the utility of creating and scoring subscales for the self-report version of the Screen for Child Anxiety Related Emotional Disorders (SCARED) by examining whether subscale scores provide reliable information after accounting for a general anxiety factor in a bifactor model analysis. A total of 2420 children aged 9-18 answered the SCARED in their schools. Results suggested adequate fit of the bifactor model. The SCARED score variance was hardly influenced by the specific domains after controlling for the common variance in the general factor. The explained common variance (ECV) for the general factor was large (63.96%). After accounting for the general total score (ωh=.83), subscale scores provided very little reliable information (ωh ranged from .005 to .04). Practitioners that use the SCARED should be careful when scoring and interpreting the instrument subscales since there is more common variance to them than specific variance.

  8. Does Field Reliability for Static-99 Scores Decrease as Scores Increase?

    PubMed Central

    Rice, Amanda K.; Boccaccini, Marcus T.; Harris, Paige B.; Hawes, Samuel W.

    2015-01-01

    This study examined the field reliability of Static-99 (Hanson & Thornton, 2000) scores among 21,983 sex offenders and focused on whether rater agreement decreased as scores increased. As expected, agreement was lowest for high-scoring offenders. Initial and most recent Static-99 scores were identical for only about 40% of offenders who had been assigned a score of 6 during their initial evaluations, but for more than 60% of offenders who had been assigned a score of 2 or lower. In addition, the size of the difference between scores increased as scores increased, with pairs of scores differing by 2 or more points for about 30% of offenders scoring in the high-risk range. Because evaluators and systems use high Static-99 scores to identify sexual offenders who may require intensive supervision or even postrelease civil commitment, it is important to recognize that there may be more measurement error for high scores than low scores and to consider adopting procedures for minimizing or accounting for measurement error. PMID:24932647

  9. Classification of mental disorders*

    PubMed Central

    Stengel, E.

    1959-01-01

    One of the fundamental difficulties in devising a classification of mental disorders is the lack of agreement among psychiatrists regarding the concepts upon which it should be based: diagnoses can rarely be verified objectively and the same or similar conditions are described under a confusing variety of names. This situation militates against the ready exchange of ideas and experiences and hampers progress. As a first step towards remedying this state of affairs, the author of the article below has undertaken a critical survey of existing classifications. He shows how some of the difficulties created by lack of knowledge regarding pathology and etiology may be overcome by the use of “operational definitions” and outlines the basic principles on which he believes a generally acceptable international classification might be constructed. If this can be done it should lead to a greater measure of agreement regarding the value of specific treatments for mental disorders and greatly facilitate a broad epidemiological approach to psychiatric research. PMID:13834299

  10. Seismic event classification system

    DOEpatents

    Dowla, Farid U.; Jarpe, Stephen P.; Maurer, William

    1994-01-01

    In the computer interpretation of seismic data, the critical first step is to identify the general class of an unknown event. For example, the classification might be: teleseismic, regional, local, vehicular, or noise. Self-organizing neural networks (SONNs) can be used for classifying such events. Both Kohonen and Adaptive Resonance Theory (ART) SONNs are useful for this purpose. Given the detection of a seismic event and the corresponding signal, computation is made of: the time-frequency distribution, its binary representation, and finally a shift-invariant representation, which is the magnitude of the two-dimensional Fourier transform (2-D FFT) of the binary time-frequency distribution. This pre-processed input is fed into the SONNs. These neural networks are able to group events that look similar. The ART SONN has an advantage in classifying the event because the types of cluster groups do not need to be pre-defined. The results from the SONNs together with an expert seismologist's classification are then used to derive event classification probabilities.

  11. Histologic classification of gliomas.

    PubMed

    Perry, Arie; Wesseling, Pieter

    2016-01-01

    Gliomas form a heterogeneous group of tumors of the central nervous system (CNS) and are traditionally classified based on histologic type and malignancy grade. Most gliomas, the diffuse gliomas, show extensive infiltration in the CNS parenchyma. Diffuse gliomas can be further typed as astrocytic, oligodendroglial, or rare mixed oligodendroglial-astrocytic of World Health Organization (WHO) grade II (low grade), III (anaplastic), or IV (glioblastoma). Other gliomas generally have a more circumscribed growth pattern, with pilocytic astrocytomas (WHO grade I) and ependymal tumors (WHO grade I, II, or III) as the most frequent representatives. This chapter provides an overview of the histology of all glial neoplasms listed in the WHO 2016 classification, including the less frequent "nondiffuse" gliomas and mixed neuronal-glial tumors. For multiple decades the histologic diagnosis of these tumors formed a useful basis for assessment of prognosis and therapeutic management. However, it is now fully clear that information on the molecular underpinnings often allows for a more robust classification of (glial) neoplasms. Indeed, in the WHO 2016 classification, histologic and molecular findings are integrated in the definition of several gliomas. As such, this chapter and Chapter 6 are highly interrelated and neither should be considered in isolation.

  12. Neuromuscular disease classification system

    NASA Astrophysics Data System (ADS)

    Sáez, Aurora; Acha, Begoña; Montero-Sánchez, Adoración; Rivas, Eloy; Escudero, Luis M.; Serrano, Carmen

    2013-06-01

    Diagnosis of neuromuscular diseases is based on subjective visual assessment of biopsies from patients by the pathologist specialist. A system for objective analysis and classification of muscular dystrophies and neurogenic atrophies through muscle biopsy images of fluorescence microscopy is presented. The procedure starts with an accurate segmentation of the muscle fibers using mathematical morphology and a watershed transform. A feature extraction step is carried out in two parts: 24 features that pathologists take into account to diagnose the diseases and 58 structural features that the human eye cannot see, based on the assumption that the biopsy is considered as a graph, where the nodes are represented by each fiber, and two nodes are connected if two fibers are adjacent. A feature selection using sequential forward selection and sequential backward selection methods, a classification using a Fuzzy ARTMAP neural network, and a study of grading the severity are performed on these two sets of features. A database consisting of 91 images was used: 71 images for the training step and 20 as the test. A classification error of 0% was obtained. It is concluded that the addition of features undetectable by the human visual inspection improves the categorization of atrophic patterns.

  13. Algorithm for reaction classification.

    PubMed

    Kraut, Hans; Eiblmaier, Josef; Grethe, Guenter; Löw, Peter; Matuszczyk, Heinz; Saller, Heinz

    2013-11-25

    Reaction classification has important applications, and many approaches to classification have been applied. Our own algorithm tests all maximum common substructures (MCS) between all reactant and product molecules in order to find an atom mapping containing the minimum chemical distance (MCD). Recent publications have concluded that new MCS algorithms need to be compared with existing methods in a reproducible environment, preferably on a generalized test set, yet the number of test sets available is small, and they are not truly representative of the range of reactions that occur in real reaction databases. We have designed a challenging test set of reactions and are making it publicly available and usable with InfoChem's software or other classification algorithms. We supply a representative set of example reactions, grouped into different levels of difficulty, from a large number of reaction databases that chemists actually encounter in practice, in order to demonstrate the basic requirements for a mapping algorithm to detect the reaction centers in a consistent way. We invite the scientific community to contribute to the future extension and improvement of this data set, to achieve the goal of a common standard.

  14. Seismic event classification system

    DOEpatents

    Dowla, F.U.; Jarpe, S.P.; Maurer, W.

    1994-12-13

    In the computer interpretation of seismic data, the critical first step is to identify the general class of an unknown event. For example, the classification might be: teleseismic, regional, local, vehicular, or noise. Self-organizing neural networks (SONNs) can be used for classifying such events. Both Kohonen and Adaptive Resonance Theory (ART) SONNs are useful for this purpose. Given the detection of a seismic event and the corresponding signal, computation is made of: the time-frequency distribution, its binary representation, and finally a shift-invariant representation, which is the magnitude of the two-dimensional Fourier transform (2-D FFT) of the binary time-frequency distribution. This pre-processed input is fed into the SONNs. These neural networks are able to group events that look similar. The ART SONN has an advantage in classifying the event because the types of cluster groups do not need to be pre-defined. The results from the SONNs together with an expert seismologist's classification are then used to derive event classification probabilities. 21 figures.

  15. Relationship between Military Occupational Specialty, Army General Classification Test Standard Score, and Other Variables. Part III.

    DTIC Science & Technology

    1945-09-26

    56.4 5 6.1 62 433 Bandsman, Ccrnct cr Trumpet (73) 36 47.9 31 42.5 7 9.6 73 13 12 4C.0 20 55.6 435 Bandsman, Snare Drum (93) 2 8.0 25...Third Echalon) 112 111 27 2 29 93 435 Bandsman, C Snaro Drum T 111 23 2 25 94 747 . Airplano and Encina iioohanic .1 C Ü T 126 119...Sound. Transmission 1 -■ 1 416 055.. . 1 - • - • 1 422 Peoiatrist ö 3 428 289 431 434 /lachinist’s Helper Bandsman, Bass Drum 11 13 4󈧨

  16. A novel approach for lie detection based on F-score and extreme learning machine.

    PubMed

    Gao, Junfeng; Wang, Zhao; Yang, Yong; Zhang, Wenjia; Tao, Chunyi; Guan, Jinan; Rao, Nini

    2014-01-01

    A new machine learning method referred to as F-score_ELM was proposed to classify the lying and truth-telling using the electroencephalogram (EEG) signals from 28 guilty and innocent subjects. Thirty-one features were extracted from the probe responses from these subjects. Then, a recently-developed classifier called extreme learning machine (ELM) was combined with F-score, a simple but effective feature selection method, to jointly optimize the number of the hidden nodes of ELM and the feature subset by a grid-searching training procedure. The method was compared to two classification models combining principal component analysis with back-propagation network and support vector machine classifiers. We thoroughly assessed the performance of these classification models including the training and testing time, sensitivity and specificity from the training and testing sets, as well as network size. The experimental results showed that the number of the hidden nodes can be effectively optimized by the proposed method. Also, F-score_ELM obtained the best classification accuracy and required the shortest training and testing time.

  17. Molecular Classification of Endometriosis and Disease Stage Using High-Dimensional Genomic Data

    PubMed Central

    Tamaresis, John S.; Irwin, Juan C.; Goldfien, Gabriel A.; Rabban, Joseph T.; Burney, Richard O.; Nezhat, Camran; DePaolo, Louis V.

    2014-01-01

    Endometriosis (E), an estrogen-dependent, progesterone-resistant, inflammatory disorder, affects 10% of reproductive-age women. It is diagnosed and staged at surgery, resulting in an 11-year latency from symptom onset to diagnosis, underscoring the need for less invasive, less expensive approaches. Because the uterine lining (endometrium) in women with E has altered molecular profiles, we tested whether molecular classification of this tissue can distinguish and stage disease. We developed classifiers using genomic data from n = 148 archived endometrial samples from women with E or without E (normal controls or with other common uterine/pelvic pathologies) across the menstrual cycle and evaluated their performance on independent sample sets. Classifiers were trained separately on samples in specific hormonal milieu, using margin tree classification, and accuracies were scored on independent validation samples. Classification of samples from women with E or no E involved 2 binary decisions, each based on expression of specific genes. These first distinguished presence or absence of uterine/pelvic pathology and then no E from E, with the latter further classified according to severity (minimal/mild or moderate/severe). Best performing classifiers identified E with 90%–100% accuracy, were cycle phase-specific or independent, and used relatively few genes to determine disease and severity. Differential gene expression and pathway analyses revealed immune activation, altered steroid and thyroid hormone signaling/metabolism, and growth factor signaling in endometrium of women with E. Similar findings were observed with other disorders vs controls. Thus, classifier analysis of genomic data from endometrium can detect and stage pelvic E with high accuracy, dependent or independent of hormonal milieu. We propose that limited classifier candidate genes are of high value in developing diagnostics and identifying therapeutic targets. Discovery of endometrial molecular

  18. Evaluation of the complications in transperitoneal laparoscopic renal and adrenal surgery with Clavien-Dindo classification

    PubMed Central

    Balcı, Melih; Tuncel, Altuğ; Güzel, Özer; Aslan, Yılmaz; Keten, Tanju; Köseoğlu, Ersin; Erkan, Anıl; Atan, Ali

    2016-01-01

    Objective To evaluate our complications in renal and adrenal transperitoneal laparoscopic surgeries with Clavien-Dindo classification. Material and methods Two hundred and eight patients to whom renal and adrenal laparoscopic surgeries were performed between January 2008 and June 2015 were included the study. One hundred and twenty one (58.2%) patients were female and 87 (41.8%) of them were male. Laparoscopic procedures were performed as radical nephrectomy (n=49; 23.6%), simple nephrectomy (n=56; 26.9%), and partial nephrectomy (n=7; 3.4%), renal cyst decortication (n=27; 13%), pyelopasty (n=14; 6.7%) and adrenalectomy (n=55; 26.4%). Complications were classified according to Clavien-Dindo classification. Results The mean age of the patients was 48.01±14.9 years. The mean duration of hospital stay was 3.5±1.9 days. According to European Scoring System for Laparoscopic Operations the procedures were graded based on procedural difficulty as simple (n=27; 12.9%), difficult (n=172; 82.8%), and highly difficult (n=9; 4.3%). Complications were observed in 13 (6.3%) interventions. One of these occurred during very hard and 14 during difficult procedures. According to Clavien-Dindo Classification; Grades 1, 2, and 3 A complications developed in 3 (1.4%), 9 (4.3%), and 1(0.5%) patient, respectively. Conclusion Laparoscopic surgery is an efficient procedure in well-chosen patients for renal and adrenal diseases with low complication rates. PMID:27274890

  19. A Cross-Validation of easyCBM[R] Mathematics Cut Scores in Oregon: 2009-2010. Technical Report #1104

    ERIC Educational Resources Information Center

    Anderson, Daniel; Alonzo, Julie; Tindal, Gerald

    2011-01-01

    In this technical report, we document the results of a cross-validation study designed to identify optimal cut-scores for the use of the easyCBM[R] mathematics test in Oregon. A large sample, randomly split into two groups of roughly equal size, was used for this study. Students' performance classification on the Oregon state test was used as the…

  20. Application of Near Infrared Spectroscopy, Intravascular Ultrasound and the Coronary Calcium Score to Predict Adverse Coronary Events

    DTIC Science & Technology

    2015-10-01

    planned. 15. SUBJECT TERMS coronary artery disease , near infrared spectroscopy, calcium scoring, intravascular ultrasound 16. SECURIY CLASSIFICATION OF...findings and intracoronary ultrasound in predicting those outcomes in #2. 6 Body Revision and review of the original protocol was followed by