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
Leslie R. Pendrill +3 more
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Receiver Operating Characteristic (ROC) Analysis [PDF]
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.
Elizabeth Anne Krupinski
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Application of Receiver Operating Characteristic (ROC) Curves for Explosives Detection Using Different Sampling and Detection Techniques [PDF]
Sensors, 2013 Reported for the first time are receiver operating characteristic (ROC) curves constructed to describe the performance of a sorbent-coated disk, planar solid phase microextraction (PSPME) unit for non-contact sampling of a variety of volatiles. The PSPME
Mimy Young +3 more
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Cut-off points between pain intensities of the postoperative pain using receiver operating characteristic (ROC) curves [PDF]
BMC Anesthesiology, 2021 Background Pain assessment and management are important in postoperative circumstances as overdosing of opioids can induce respiratory depression and critical consequences.
Sooyoung Cho +4 more
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A Novel Information Complexity Approach to Score Receiver Operating Characteristic (ROC) Curve Modeling [PDF]
EntropyPerformance metrics are measures of success or performance that can be used to evaluate how well a model makes accurate predictions or classifications.
Aylin Gocoglu +2 more
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What's under the ROC? An Introduction to Receiver Operating Characteristics Curves [PDF]
Canadian Journal of Psychiatry, 2007 It is often necessary to dichotomize a continuous scale to separate respondents into normal and abnormal groups. However, because the distributions of the scores in these 2 groups most often overlap, any cut point that is chosen will result in 2 types of errors: false negatives (that is, abnormal cases judged to be normal) and false positives (that is,
David Streiner, John Cairney
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Statistical Methodology: III. Receiver Operating Characteristic (ROC) Curves [PDF]
Academic Emergency Medicine, 1997 ABSTRACTMeasures including sensitivity, specificity, and positive and negative predictive values have been traditionally used to assess a diagnostic test's ability to detect the presence or absence of disease. Receiver operating characteristic (ROC) curve analysis allows visual evaluation of the trade‐offs between sensitivity and specificity associated
John Younger
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Correction to: Cut-off points between pain intensities of the postoperative pain using receiver operating characteristic (ROC) curves [PDF]
BMC Anesthesiology, 2021 Sooyoung Cho +4 more
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Receiver operating characteristic (ROC) curve for medical researchers
Indian Pediatrics, 2011 Sensitivity and specificity are two components that measure the inherent validity of a diagnostic test for dichotomous outcomes against a gold standard. Receiver operating characteristic (ROC) curve is the plot that depicts the trade-off between the sensitivity and (1-specificity) across a series of cut-off points when the diagnostic test is continuous
Rajeev Kumar, Abhaya Indrayan
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The receiver operating characteristic (ROC) curve
Southwest Respiratory and Critical Care Chronicles, 2017 Shengping Yang, Gilbert Berdine
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