Receiver operating characteristic analysis: an ally in the pandemic. [PDF]
J Bras Pneumol, 2021 García JP, Ferreira JC, Patino CM.
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Receiver operating characteristic curve analysis in diagnostic accuracy studies: A guide to interpreting the area under the curve value. [PDF]
Turk J Emerg Med, 2023 This review article provides a concise guide to interpreting receiver operating characteristic (ROC) curves and area under the curve (AUC) values in diagnostic accuracy studies.
Çorbacıoğlu ŞK, Aksel G.
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Approach to prediction and receiver operating characteristic analysis of a regression model for assessing the severity of the course Lyme borreliosis in children. [PDF]
Reumatologia, 2023 Introduction Lyme borreliosis (LB) is a multisystemic zoonotic disease transmitted by the bite of infected tick vectors. The aim of the study is to develop a mathematical model for predicting the risk of severity of Lyme disease by the risk factor of ...
Nykytyuk SO +4 more
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Receiver operating characteristic curve: overview and practical use for clinicians. [PDF]
Korean J Anesthesiol, 2022 Using diagnostic testing to determine the presence or absence of a disease is essential in clinical practice. In many cases, test results are obtained as continuous values and require a process of conversion and interpretation and into a dichotomous form
Nahm FS.
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RECEIVER OPERATING CHARACTERISTIC (ROC) ANALYSIS
Frontline Learning Research, 2017 Visual expertise covers a broad range of types of studies and methodologies. Many studies incorporate some measure(s) of observer performance or how well participants perform on a given task. Receiver Operating Characteristic (ROC) analysis is a method commonly used in signal detection tasks (i.e., those in which the observer must decide whether or not
Elizabeth Anne Krupinski
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Modernising Receiver Operating Characteristic (ROC) Curves
Algorithms, 2023 The justification for making a measurement can be sought in asking what decisions are based on measurement, such as in assessing the compliance of a quality characteristic of an entity in relation to a specification limit, SL. The relative performance of testing devices and classification algorithms used in assessing compliance is often evaluated using
Leslie R. Pendrill +3 more
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Receiver Operating Characteristic Curves with an Indeterminacy Zone. [PDF]
Pattern Recognit Lett, 2020 This work extends Receiver Operating Characteristic (ROC) curve to the situation where some cases, falling in an intermediate "indeterminacy zone" of the predictor, are not classified. It addresses two challenges: definition of sensitivity and specificity bounds for this case; and summarization of the large number of possibilities arising from ...
Parmigiani G.
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Estimation and Comparison of Receiver Operating Characteristic Curves [PDF]
The Stata Journal, 2009 The receiver operating characteristic (ROC) curve displays the capacity of a marker or diagnostic test to discriminate between two groups of subjects, cases versus controls. We present a comprehensive suite of Stata commands for performing ROC analysis. Nonparametric, semiparametric, and parametric estimators are calculated.
Holly Janes +2 more
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A Novel Information Complexity Approach to Score Receiver Operating Characteristic (ROC) Curve Modeling. [PDF]
Entropy (Basel)Performance metrics are measures of success or performance that can be used to evaluate how well a model makes accurate predictions or classifications.
Gocoglu A, Demirel N, Bozdogan H.
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Receiver operating characteristic curve
Current Medicine Research and Practice, 2012 A receiver operating characteristic (ROC) curve is a plot of tradeoff between sensitivity and specificity. It is a plot that evaluates a diagnostic test for a continuous variable between diseased and non-diseased subjects. The validity of a diagnostic test is indicated by the area under the curve (AUC).
Anita Singh +2 more
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