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Journal of Clinical Epidemiology, ISSN 0895-4356, 2015, Volume 68, Issue 8, pp. 855 - 859
Journal Article
2009, Monographs on statistics and applied probability, ISBN 9781439800218, Volume 111, xiv, 241
Book
Machine Learning, ISSN 0885-6125, 10/2009, Volume 77, Issue 1, pp. 103 - 123
The area under the ROC curve (AUC) is a very widely used measure of performance for classification and diagnostic rules. It has the appealing property of being... 
Sensitivity | Specificity | Classification | Error rate | Loss | Misclassification rate | Cost | ROC curves | AUC | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Computer science | Algorithms | Statistical analysis
Journal Article
Journal Article
Pattern Recognition, ISSN 0031-3203, 12/2013, Volume 46, Issue 12, pp. 3395 - 3411
Receiver Operating Characteristic (ROC) analysis is one of the most popular tools for the visual assessment and understanding of classifier performance. In... 
Asymmetric loss | ROC Curves | MSE decomposition | Cost-sensitive regression | Error variance | Operating condition | CLASSIFIER PERFORMANCE | COMBINATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | PREDICTION | ACCURACY | ENGINEERING, ELECTRICAL & ELECTRONIC | COST | AREA | SYSTEMS | Regression | Dominance | Software | Representations | Regression analysis | Assessments | Variance | Computer programs
Journal Article
Emergency Medicine Journal, ISSN 1472-0205, 06/2017, Volume 34, Issue 6, pp. 357 - 359
The paper by Body et al is concerned with the evaluation of decision aids, which can be used to identify potential acute coronary syndromes (ACS) in the ED.... 
diagnostic accuracy | ROC curve | EMERGENCY MEDICINE | PLOTS | ROC Curve | Data Interpretation, Statistical | Emergency Service, Hospital - organization & administration | Humans | Sensitivity and Specificity | Decision Support Techniques | Accuracy | Acute coronary syndromes | Rodents | Diagnostic tests
Journal Article
Circulation, ISSN 0009-7322, 02/2007, Volume 115, Issue 7, pp. 928 - 935
Journal Article
Caspian Journal of Internal Medicine, ISSN 2008-6164, 2013, Volume 4, Issue 2, pp. 627 - 635
This review provides the basic principle and rational for ROC analysis of rating and continuous diagnostic test results versus a gold standard. Derived indexes... 
Nonparametric | Sensitivity | Specificity | Area under the curve (AUC) | Bias | Parametric | ROC curve | Review
Journal Article
Clinical Chemistry, ISSN 0009-9147, 01/2008, Volume 54, Issue 1, pp. 17 - 23
BACKGROUND: - Diagnostic and prognostic or predictive models serve different purposes. Whereas diagnostic models are usually used for classification,... 
TESTS | MEDICAL LABORATORY TECHNOLOGY | CARDIOVASCULAR RISK | PREDICTION | Prognosis | Stochastic Processes | Decision Support Techniques | Probability | ROC Curve | Risk | Diagnosis | Models, Statistical | Clinical Medicine - methods | Usage | Cardiovascular diseases | Analysis | Risk factors
Journal Article
American Journal of Epidemiology, ISSN 0002-9262, 04/2006, Volume 163, Issue 7, pp. 670 - 675
Journal Article
BMC Bioinformatics, ISSN 1471-2105, 03/2011, Volume 12, Issue 1, pp. 77 - 77
Receiver operating characteristic (ROC) curves are useful tools to evaluate classifiers in biomedical and bioinformatics applications. However, conclusions are... 
Computational Biology - methods | Confidence Intervals | Data Interpretation, Statistical | Humans | Biomarkers - analysis | Programming Languages | ROC Curve | Software | Confidence intervals | Usage | Public software | Mathematical statistics | Analysis | Science | Research | Computer programs | Studies | User interface | Biomarkers | Data mining | Bioinformatics | Manuscripts | Programming languages | Methods
Journal Article