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Machine learning, ISSN 1573-0565, 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... 
Sensitivity | Specificity | Classification | Error rate | Loss | Misclassification rate | Cost | ROC curves | AUC | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Computer science | Algorithms | Statistical analysis
Journal Article
Statistics in Medicine, ISSN 0277-6715, 09/2016, Volume 35, Issue 21, pp. 3792 - 3809
Journal Article
IEEE Transactions on Knowledge and Data Engineering, ISSN 1041-4347, 10/2013, Volume 25, Issue 10, pp. 2356 - 2366
Journal Article
Clinical infectious diseases, ISSN 1537-6591, 2019, Volume 69, Issue 11, pp. 1881 - 1887
Abstract Background This study analyzed the relationship between vancomycin area under the concentration-time curve (AUC... 
INFECTIOUS DISEASES | AMERICA | nephrotoxicity | STAPHYLOCOCCUS-AUREUS INFECTIONS | GUIDELINES | vancomycin | MICROBIOLOGY | OUTCOMES | IMMUNOLOGY | PNEUMONIA | DISEASES SOCIETY | AUC | and Commentaries
Journal Article
Journal of Biomechanics, ISSN 0021-9290, 04/2018, Volume 72, pp. 23 - 28
Area under the receiver operating characteristic curve (AROC) is commonly used to choose a biomechanical metric from which to construct an injury risk curve (IRC... 
Survival analysis | Metric selection | AROC | Injury risk curves | AUC | PROBABILITY | BIOPHYSICS | ENGINEERING, BIOMEDICAL | ROC Curve | Wounds and Injuries | Risk Assessment | Area Under Curve | Humans | Survival Analysis | Medical colleges | Censorship | Methods | Biomedical engineering | Thorax | Velocity | Experiments | Survival | Convergence | Side impact | Biomechanics | Datasets | Mathematical analysis | Data sets | Injuries
Journal Article
Caspian Journal of Internal Medicine, ISSN 2008-6164, 2013, Volume 4, Issue 2, pp. 627 - 635
.... Derived indexes of accuracy, in particular area under the curve (AUC) has a meaningful interpretation for disease classification from healthy subjects... 
Nonparametric | Sensitivity | Specificity | Area under the curve (AUC) | Bias | Parametric | ROC curve | Review
Journal Article
Pattern Recognition, ISSN 0031-3203, 01/2015, Volume 48, Issue 1, pp. 276 - 287
Journal Article
Academic Radiology, ISSN 1076-6332, 2017, Volume 24, Issue 2, pp. 209 - 219
...) have been developed to address this problem. However, due to the general robustness of binormal ROCs, the improperness of the fitted curves might carry little consequence for inferences about global summary indices, such as the area under the ROC curve (AUC... 
Radiology | improper shape | statistical properties | Binormal ROC | PROPROC | AUC estimation | CONFIDENCE-INTERVALS | PERFORMANCE | RATIO | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Likelihood Functions | Reproducibility of Results | Radiology - statistics & numerical data | Area Under Curve | Bias | Humans | Sensitivity and Specificity | ROC Curve | Models, Statistical
Journal Article
Clinical genitourinary cancer, ISSN 1558-7673, 2019, Volume 17, Issue 1, pp. e1 - e11
.... We thus assessed individualized dosing of axitinib on the basis of the first-dose area under the concentration... 
VEGFR inhibitor | First-dose AUC | Kidney cancer | mRCC | Recommended dose | EFFICACY | SAFETY | PHASE-II | SORAFENIB | AG-013736 | ONCOLOGY | UROLOGY & NEPHROLOGY | JAPANESE PATIENTS | DOSE TITRATION | EXPOSURE | AXIS | Axitinib | Dosage and administration | Carcinoma, Renal cell | Diagnosis | Drug therapy
Journal Article
Machine Learning, ISSN 0885-6125, 11/2001, Volume 45, Issue 2, pp. 171 - 186
The area under the ROC curve, or the equivalent Gini index, is a widely used measure of performance of supervised classification rules... 
Automation and Robotics | error rate | Computer Science | Artificial Intelligence (incl. Robotics) | Gini index | ROC curve | Computer Science, general | receiver operating characteristic | AUC | Receiver operating characteristic | Error rate | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Studies
Journal Article
Canadian journal of psychiatry, ISSN 1497-0015, 2016, Volume 52, Issue 2, pp. 121 - 128
.... A technique called receiver operating characteristic (ROC) curves allows us to determine the ability of a test to discriminate between groups, to choose the optimal cut point, and to compare the performance of 2 or more tests. We discuss how to calculate and compare ROC curves and the factors that must be considered in choosing an optimal cut point. 
Sensitivity | Specificity | Receiver operating characteristic | Area under the curve | ROC | Test performance | Diagnosis | AUC | test performance | AREA | PSYCHIATRY | specificity | diagnosis | PSYCHOLOGICAL DISTRESS | SCREENING SCALES | area under the curve | sensitivity | receiver operating characteristic | Psychology - methods | Mental Disorders - epidemiology | Humans | Sensitivity and Specificity | Psychology - statistics & numerical data | ROC Curve | Mental Disorders - diagnosis | Psychological tests | Parameter estimation | Sample size | Diagnostic tests | Testing
Journal Article
Journal of the American Oil Chemists' Society, ISSN 0003-021X, 1/2017, Volume 94, Issue 1, pp. 77 - 88
Journal Article