Results 201 to 210 of about 3,642,241 (237)

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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Correcting for Confounding in Analyzing Receiver Operating Characteristic Curves

Biometrical Journal, 1996
AbstractA method is described for modeling a receiver operating curve as a function of confounding covariates when the outcome of the screening test is a continuous variate. A parametric survival model is proposed for modeling the distribution of the screening test outcome as a function of true disease status and other confounding covariates.
Smith, P. J., Thompson, T. J.
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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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Radiographic Applications of Receiver Operating Characteristic (ROC) Curves

Radiology, 1974
The basic concepts underlying the theory and experimental determination of receiver operating characteristic (ROC) curves are discussed. Such curves were used to describe the detectability of the image of 2 mm Lucite beads (similar to certain small gallstones) in a noisy background of radiographic mottle. Results are shown for four typical radiographic
D J, Goodenough, K, Rossmann, L B, Lusted   +2 more
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Receiver Operating Characteristic (ROC) Curves: The Basics and Beyond

Hospital Pediatrics
Diagnostic tests and clinical prediction rules are frequently used to help estimate the probability of a disease or outcome. How well a test or rule distinguishes between disease or no disease (discrimination) can be measured by plotting a receiver operating characteristic (ROC) curve and calculating the area under it (AUROC).
Pearl W, Chang, Thomas B, Newman
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