Results 301 to 310 of about 4,372,005 (356)

On estimating the area under the ROC curve in ranked set sampling

Statistical Methods in Medical Research, 2022
In medical research, the receiver operating characteristic curve is widely used to evaluate accuracy of a continuous biomarker. The area under this curve is known as an index for overall performance of the biomarker.
M. Mahdizadeh, Ehsan Zamanzade
semanticscholar   +1 more source

The area under the generalized receiver-operating characteristic curve

The International Journal of Biostatistics, 2021
The receiver operating-characteristic (ROC) curve is a well-known graphical tool routinely used for evaluating the discriminatory ability of continuous markers, referring to a binary characteristic.
P. Martínez-Camblor, Sonia Pérez-Fernández, Susana Díaz-Coto   +2 more
semanticscholar   +1 more source

The meaning and use of the area under a receiver operating characteristic (ROC) curve.

Radiology, 1982
A representation and interpretation of the area under a receiver operating characteristic (ROC) curve obtained by the "rating" method, or by mathematical predictions based on patient characteristics, is presented.
J. Hanley, B. McNeil
semanticscholar   +1 more source

The area under the ROC curve as a measure of clustering quality

Data mining and knowledge discovery, 2020
The area under the receiver operating characteristics (ROC) Curve, referred to as AUC, is a well-known performance measure in the supervised learning domain.
Pablo A. Jaskowiak, Ivan G. Costa, R. Campello   +2 more
semanticscholar   +1 more source

The use of mycophenolate mofetil area under the curve

Current Opinion in Rheumatology, 2021
Purpose of review Although mycophenolate mofetil (MMF) has been used successfully to treat a myriad of autoimmune diseases, its complex pharmacokinetics make it difficult to determine the true drug exposure for an individual patient.
Katherine Chakrabarti, Mousa Al Abbas, W. Joseph McCune, David Frame   +3 more
openaire   +2 more sources

Estimation of the area under the ROC curve

Statistics in Medicine, 2002
AbstractThe area under the receiver operating characteristic curve is frequently used as a measure for the effectiveness of diagnostic markers. In this paper we discuss and compare estimation procedures for this area. These are based on (i) the Mann–Whitney statistic; (ii) kernel smoothing; (iii) normal assumptions; (iv) empirical transformations to ...
Benjamin Reiser, David Faraggi
openaire   +3 more sources

The Area under the Curve

New England Journal of Medicine, 1999
To the Editor: Our mentoring program at the University of Wisconsin is a time for our third-year medical students to present cases and to discuss their internal-medicine ward experiences.
openaire   +3 more sources

Receiver Operating Characteristic (ROC) Area Under the Curve (AUC): A Diagnostic Measure for Evaluating the Accuracy of Predictors of Education Outcomes

Journal of Education for Students Placed at Risk (JESPAR), 2019
Early Warning Systems (EWS) and Early Warning Indictors (EWI) have recently emerged as an attractive domain for states and school districts interested in predicting student outcomes using data that schools already collect with the intention to better ...
Alex J. Bowers, Xiaoliang Zhou
semanticscholar   +1 more source

Area under the curve and bioavailability

Pharmacological Research, 2000
The Area Under the Curve (AUC) is proportional to the fraction absorbed only if the clearance is constant and the concentration uniform; in all other cases the bioavailability cannot be determined by comparing AUCs.
openaire   +3 more sources

Empirical Comparison of Area under ROC curve (AUC) and Mathew Correlation Coefficient (MCC) for Evaluating Machine Learning Algorithms on Imbalanced Datasets for Binary Classification

International Conference on Machine Learning and Soft Computing, 2019
A common challenge encountered when trying to perform classifications and comparing classifiers is selecting a suitable performance metric. This is particularly important when the data has class-imbalance problems.
Chongomweru Halimu, Asem Kasem, S. Newaz
semanticscholar   +1 more source