Results 321 to 330 of about 2,525,063 (363)

[ROC curve].

Semergen, 2022
J. A. Martínez Pérez, P. S. Pérez Martín   +1 more
semanticscholar   +1 more source

Receiver Operator Characteristic (ROC) Curves

Infection Control & Hospital Epidemiology, 1988
The goal of diagnostic testing is to identify patients with a particular disease. Often, it is just as important that the test not mistakenly identify healthy persons as having disease. For example, a new test for the acquired immunodeficiency syndrome (AIDS) might identify 99.99% of all patients infected with the human immunodeficiency virus (HIV ...
openaire   +3 more sources

Targeting the poor using ROC curves

World Development, 1997
Abstract This paper compares the performance of targeting indicators to identify the poor. If the ROC curve of one indicator lies above that of another, the first indicator dominates the second for all social welfare functions based on the two types of errors involved in targeting. The method is applied to Bangladesh.
openaire   +3 more sources

ROC curves and nonrandom data

Pattern Recognition Letters, 2017
This paper shows that ROC curves that are constructed with nonrandom data are biased.The magnitude of this bias is explored using simulations.A procedure for plotting consistent ROC curves is introduced.The presented procedure works well with simulated and non-simulated data. This paper shows that when a classifier is evaluated with nonrandom test data,
openaire   +2 more sources

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

Radiology, 1982
J. Hanley, B. McNeil
semanticscholar   +1 more source

The use of the area under the ROC curve in the evaluation of machine learning algorithms

Pattern Recognition, 1997
A. Bradley
semanticscholar   +1 more source

Efficient confidence bounds for ROC curves

Statistics in Medicine, 1994
AbstractThe specificity and sensitivity of a quantitative diagnostic marker depends on the selected cut‐off point. The ROC curve is generated by plotting sensitivity against specificity as the cut‐off point runs through the whole range of possible marker values.
openaire   +3 more sources

Smooth estimation of the area under the ROC curve in multistage ranked set sampling

, 2020
M. Mahdizadeh, Ehsan Zamanzade
semanticscholar   +1 more source

Machine Learning Algorithms with ROC Curve for Predicting and Diagnosing the Heart Disease

Soft Computing and Medical Bioinformatics, 2018
R. Kannan, V. Vasanthi
semanticscholar   +1 more source

A reflective, metal-rich atmosphere for GJ 1214b from its JWST phase curve

Nature, 2023
Eliza M-R Kempton, Michael Zhang, Maria E Steinrueck   +2 more
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