Results 1 to 10 of about 380,414 (301)

Understanding receiver operating characteristic (ROC) curves

CJEM, 2006
In 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, Suneel, Upadhye, Andrew, Worster   +2 more
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Copula modeling of receiver operating characteristic and predictiveness curves

Statistics in Medicine, 2020
Receiver operating characteristic (ROC) and predictiveness curves are graphical tools to study the discriminative and predictive power of a continuous‐valued marker in a binary outcome. In this paper, a copula‐based construction of the joint density of the marker and the outcome is developed for plotting and analyzing both curves.
Gabriel Escarela, Carlos Erwin Rodríguez, Gabriel Núñez‐Antonio   +2 more
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Receiver operating characteristic curves

BMJ, 2011
Researchers 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.
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Receiver Operating Characteristic Curves and Their Use in Radiology

Radiology, 2003
Sensitivity 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 ...
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How to read a receiver operating characteristic curve

BMJ, 2015
Researchers investigated the use of vital signs as a screening test to identify brain lesions in patients with impaired consciousness. The setting was an emergency department in Japan. In total, 529 consecutive patients presenting with impaired consciousness, as assessed by a score of less than 15 on the Glasgow coma scale, were studied.
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Receiver operating characteristic curves and optimal Bayesian operating points

Proceedings., International Conference on Image Processing, 2002
The receiver operating characteristic curve is a standard method for reporting the performance of a system. In this paper we show how do choose the optimal operating point when we are given a receiver operating curve, the prior probabilities, and the economic gain matrix. Unlike earlier methods, we make no assumptions regarding underlying distributions.
Tapas Kanungo, Robert M. Haralick
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The Receiver Operating Characteristic Curve

2003
Abstract 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.
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A Permutation Test to Compare Receiver Operating Characteristic Curves

Biometrics, 2000
Summary. We developed a permutation test in our earlier paper (Venkatraman and Begg, 1996, Biometrika83, 835–848) to test the equality of receiver operating characteristic curves based on continuous paired data. Here we extend the underlying concepts to develop a permutation test for continuous unpaired data, and we study its properties through ...
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Automatic Calibration Using Receiver Operating Characteristics Curves

2007 2nd International Conference on Communication Systems Software and Middleware, 2007
Application-level filters, such as e-mail and VoIP spam filters, that analyze dynamic behavior changes are replacing static signature-recognition filters. These application-level filters learn behavior and use that knowledge to filter unwanted requests.
Prakash Kolan, Ram Vaithilingam, Ram Dantu   +2 more
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Alternative Summary Indices for the Receiver Operating Characteristic Curve

Epidemiology, 1996
The receiver operating characteristic curve (ROC) and its associated summary index, the area under the curve (AUC), have recently found an increasingly popular place in medical diagnosis and population screening surveys. Nevertheless, the index may erroneously rate a perfect or nearly perfect marker as having no diagnostic or screening value.
Lee, Wen-Chung, Hsiao, Chuhsing Kate
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