Results 31 to 40 of about 3,583,799 (330)
, 2017 The new cut-off of cytokeratin 19 mRNA copy number obtained by the ROC curve. Youden’s index identifies the optimal value at 2150 copies.
Irene Terrenato (95244) +11 more
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A simplified method to approximate a ROC curve with a Bézier curve to calculate likelihood ratios of quantitative test results [PDF]
MethodsX, 2020 In order to calculate likeli hood ratios (LR) values for quantitative test results, a distribution-independent algorithm based on Bézier curves is proposed.
Walter Fierz
doaj +2 more sources
Accuracy Assessment of Pistachio Climate Suitability Map Based on ROC Curve [PDF]
محیط زیست و مهندسی آب, 2023 The aim of this study was to evaluate the accuracy of the climate suitability map of pistachio planting in the northwestern provinces of the country.
Jamshid Yarahmadi +2 more
doaj +1 more source
Which Curve Fits Best: Fitting ROC Curve Models to Empirical Credit-Scoring Data
Risks, 2022 In the practice of credit-risk management, the models for receiver operating characteristic (ROC) curves are helpful in describing the shape of an ROC curve, estimating the discriminatory power of a scorecard, and generating ROC curves without underlying
Błażej Kochański
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Concentration and ROC Curves, Revisited [PDF]
Sankhya A, 2021 AbstractThis work is aimed at illustrating the strict relationship between a general definition of concentration function appeared quite some time ago on this journal and a widely used measure of the diagnostic strength of a family of binary classifiers indexed by a threshold parameter, the so-called ROC curve.
Gasparini M., Sacchetto L.
openaire +3 more sources
The Walking Man Approach to Interpreting the ROC curve and area under the ROC Curve.
Journal of Clinical Epidemiology, 2023 An accuracy study of a test that produces a wide range of results will often present a receiver operating characteristic (ROC) curve and report the area under the ROC curve (AUROC).
M. Kohn, T. Newman
semanticscholar +1 more source
The area under the ROC curve as a measure of clustering quality [PDF]
Data mining and knowledge discovery, 2020 The area under the receiver operating characteristics (ROC) Curve, referred to as AUC, is a well-known performance measure in the supervised learning domain.
Pablo A. Jaskowiak +2 more
semanticscholar +1 more source
Entropy, 2020 Background: This investigation included both a study of potential non-invasive diagnostic approaches for the bladder cancer biomarker UBC® Rapid Test and a study including comparative methods about sensitivity–specificity characteristic (SS-ROC) and ...
Peter Oehr, Thorsten Ecke
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Validation of the highly sensitive person scale for suicide screening in high-risk groups: A case-control study [PDF]
Precision and Future Medicine, 2023 Purpose High sensitivity is among the risk factors that increase psychological burden, increasing the risk of suicide in some people. The aim of the study was to develop a Korean version of the Highly Sensitive Person (HSP) scale and investigate its ...
Yaehee Cho +5 more
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Lognormal Lorenz and normal receiver operating characteristic curves as mirror images [PDF]
Royal Society Open Science, 2015 The Lorenz curve for assessing economic inequality depicts the relation between two cumulative distribution functions (CDFs), one for the distribution of incomes or wealth and the other for their first-moment distribution.
R. John Irwin, Michael J. Hautus
doaj +1 more source