Improved Confidence Intervals for the Youden Index. [PDF]
The Youden Index is a summary measurement of the receiver operating characteristic (ROC) curve for the accuracy of a diagnostic test with ordinal or continuous endpoints.
Guogen Shan
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Bayesian Youden index for algorithmic evaluation under class imbalance: mathematical foundations with applications to insulin resistance and diabetes progression [PDF]
BackgroundThe evaluation of binary classifiers under real-world conditions requires metrics that account for the dependence of predictive performance on disease prevalence.
Aquiles Darghan +5 more
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Optimizing Dengue Surveillance Thresholds in Malaysia: A Comparative Evaluation of Endemic Channel Approaches [PDF]
Endemic channels are widely used in dengue surveillance to detect unusual increases in case counts. However, conventional approaches that rely on historical averages with fixed standard deviation (SD)-based multipliers may produce unstable thresholds and
Sarbhan Singh +12 more
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Comparison of Diagnostic Criteria for Severe Ischemic Stroke: A Retrospective Cohort Study [PDF]
Background The diagnostic criteria for severe ischemic stroke (SIS) vary across studies. There are no generally accepted diagnostic criteria for SIS and no consensus on which criteria are most appropriate in clinical practice.
Xiaoyu Hua +3 more
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Detecting if change in end-tidal carbon dioxide signifies change in cardiac output for the prediction of fluid responsiveness in patients undergoing major abdominal oncosurgery: An observational study [PDF]
Background and Aims: Changes in end-tidal carbon dioxide (ΔETCO2) have been proposed as a predictor of fluid responsiveness, but the available evidence remains inconsistent.
Shreyas Arun Chawathey +2 more
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Prediction Models of Blood Glucose Change During Aerobic Exercise Using Machine Learning Techniques [PDF]
PURPOSE This study aimed to explore the relationship between blood glucose level changes and body characteristics during exercise and to present six models for predicting changes in blood glucose levels during exercise. METHODS 148 healthy men and women (
Okimitsu Oyama +11 more
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A Stepwise Algorithm for Linearly Combining Biomarkers under Youden Index Maximization
Combining multiple biomarkers to provide predictive models with a greater discriminatory ability is a discipline that has received attention in recent years.
Rocío Aznar-Gimeno +4 more
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Introduction, objectives: Obesity is a global health problem with a great negative impact on health. Among the pathologies caused by obesity are insulin resistance and metabolic syndrome, which constitute an increasingly common health problem in both ...
José Ignacio Ramírez-Manent +5 more
doaj +1 more source
The performance of body mass component indices in detecting risk of musculoskeletal injuries in physically active young men and women [PDF]
Background Body composition indices can be related to musculoskeletal injuries (MI), particularly in physically active groups. However, little is known about the accuracy of these diagnoses as potential predictors of musculoskeletal injuries.
Jarosław Domaradzki, Dawid Koźlenia
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ObjectiveConvolutional Neural Network(CNN) is increasingly being applied in the diagnosis of gastric cancer. However, the impact of proportion of internal data in the training set on test results has not been sufficiently studied. Here, we constructed an
Tao Jin +12 more
doaj +1 more source

