Results 261 to 270 of about 3,063,172 (298)
Some of the next articles are maybe not open access.
Receiver operating characteristic curves
BMJ, 2011Researchers evaluated the performance of a cognitive test called “test your memory” as a screening test for Alzheimer’s disease. The screening test is designed to use minimal operator time and to be suitable for non-specialist use. It is self administered under medical supervision.
openaire +1 more source
Understanding receiver operating characteristic (ROC) curves
CJEM, 2006In this issue of the Journal, Auer and colleagues conclude that serum levels of neuron-specific enolase (NSE), a biochemical marker of ischemic brain injury, may have clinical utility for the prediction of survival to hospital discharge in patients experiencing the return of spontaneous circulation following at least 5 minutes of cardiopulmonary ...
Jerome, Fan +2 more
openaire +2 more sources
Receiver Operating Characteristic Curves and Their Use in Radiology
Radiology, 2003Sensitivity and specificity are the basic measures of accuracy of a diagnostic test; however, they depend on the cut point used to define "positive" and "negative" test results. As the cut point shifts, sensitivity and specificity shift. The receiver operating characteristic (ROC) curve is a plot of the sensitivity of a test versus its false-positive ...
openaire +2 more sources
The Receiver Operating Characteristic Curve
2003Abstract In this chapter we consider medical tests with results that are not simply positive or negative, but that are measured on continuous or ordinal scales. The receiver operating characteristic (ROC) curve is currently the best-developed statistical tool for describing the performance of such tests.
openaire +1 more source
Evolving Receiver Operating Characteristics for Data Fusion
2001It has been suggested that the "Maximum Realisable Receiver Operating Characteristics" for a combination of classifiers is the convex hull of their individual ROCs [Scott et al., 1998]. As expected in at least some cases better ROCs can be produced. We show genetic programming (GP) can automatically produce a combination of classifiers whose ROC is ...
William B. Langdon, Bernard F. Buxton
openaire +1 more source
Receiver operating characteristic analysis of photoreceptor sensitivity
IEEE Transactions on Systems, Man, and Cybernetics, 1983To understand the workings of neural systems and to place neural modelmaking on a firm foundation, it is useful to frame both experiments and models in the context of receiver operating characteristic analysis (ROC analysis). The presence of noise and of nonlinear signaling are compelling reasons for the use of ROC analysis.
openaire +2 more sources
The area under the generalized receiver-operating characteristic curve
International Journal of Biostatistics, 2022Susana Díaz-Coto +2 more
exaly
Comparison of receiver operating characteristic curves on the basis of optimal operating points
Academic Radiology, 1996Ethan Halpern +2 more
exaly