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Receiver Operating Characteristic (ROC) Analysis
, 2009 Receiver Operating Characteristic (ROC curves) have been used for years in decision making from signals, such as radar or radiology. Basically they plot the hit rate versus the false alarm rate. They were introduced recently in data mining and machine learning to take into account different misclassification costs, or to deal with skewed class ...
Nicolas Lachiche
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Features of the Area under the Receiver Operating Characteristic (ROC) Curve. A Good Practice
The Stata Journal, 2016 The area under the receiver operating characteristic (ROC) curve is a measure of discrimination ability used in diagnostic and prognostic research. The ROC plot is usually represented without additional information about decision thresholds used to ...
David Lora, Contador I
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Receiver Operator characteristic (ROC) Analysis without Truth
Medical Decision Making, 1990Receiver operator characteristic (ROC) analysis, the preferred method of evaluating diag nostic imaging tests, requires an independent assessment of the true state of disease, which can be difficult to obtain and is often of questionable accuracy. A new method of analysis is described which does not require independent truth data and which can be used ...
R M, Henkelman, I, Kay, M J, Bronskill
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Multiple Classification and Receiver Operating Characteristic (ROC) Analysis
Medical Decision Making, 1987The receiver operating characteristic (ROC) curve was applied to observer performances in a multiple-alternative decision task. It was shown that the probability of correct classification, a performance criterion often maximized in multiple-classification procedures, corresponds to the area under an appropriately constructed ROC curve.
W R, Steinbach, K, Richter
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Receiver operating characteristic (ROC) analysis of neural code efficacies
Biological Cybernetics, 1996Nerve cell signals are different in form from the stimuli that evoke them and they exhibit complex spatio-temporal characteristics. This defines a neural coding problem which is addressed by two current theories: Multiple Meaning Theory holds that neural signals contain patterns that make statements about combinations of stimulus properties; the Task ...
Zixi Cheng, Gerald S. Wasserman
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Statistical Approaches to the Analysis of Receiver Operating Characteristic (ROC) Curves
Medical Decision Making, 1984In this article we review published and some unpublished work in statistical analyses of ROC curves. We describe both single and joint indices and indicate the approaches that have been taken to consider between-reader variations and correlations, within-reader variations, and variations and correlations between cases.
B J, McNeil, J A, Hanley
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Use of receiver operating characteristic (ROC) analysis to evaluate sequence matching
Computers & Chemistry, 1996In this paper, we borrow the idea of the receiver operating characteristic (ROC) from clinical medicine and demonstrate its application to sequence comparison. The ROC includes elements of both sensitivity and specificity, and is a quantitative measure of the usefulness of a diagnostic. The ROC is used in this work to investigate the effects of scoring
Michael Gribskov, Nina L. Robinson
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Cephalometrics of anterior open bite: A receiver operating characteristic (ROC) analysis
American Journal of Orthodontics and Dentofacial Orthopedics, 1992A new approach is presented for the evaluation of cephalometric measurements in which a measurement is considered to be a diagnostic test for the presence or the absence of some component of malocclusion. This approach allows cephalometric measurements to be judged by the criteria that are generally used for clinical diagnostic tests, including ...
D W, Wardlaw +3 more
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Receiver Operating Characteristic (ROC) Analysis for Characterizing Synaptic Efficacy
Journal of Neurophysiology, 2007The role of background synaptic activity in cortical processing has recently received much attention. How do individual neurons extract information when embedded in a noisy background? When examining the impact of a synaptic input on postsynaptic firing, it is important to distinguish a change in overall firing probability from a true change in ...
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