Results 11 to 20 of about 302,402 (283)
Accuracy Assessment of Pistachio Climate Suitability Map Based on ROC Curve [PDF]
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
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Which Curve Fits Best: Fitting ROC Curve Models to Empirical Credit-Scoring Data
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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The paper by Bodyet alis concerned with the evaluation of decision aids, which can be used to identify potential acute coronary syndromes (ACS) in the ED. The authors previously developed the Manchester Acute Coronary Syndromes model (MACS) decision aid, which uses several clinical variables and two biomarkers to ‘rule in’ and ‘rule out’ ACS.
Zhe Hui Hoo, Jane Candlish, Dawn Teare
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Validation of the highly sensitive person scale for suicide screening in high-risk groups: A case-control study [PDF]
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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Concentration and ROC Curves, Revisited [PDF]
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.
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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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Receiver operating characteristic curve: overview and practical use for clinicians [PDF]
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
Francis Sahngun Nahm
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On Bootstrapping the ROC Curve
This paper is devoted to thoroughly investigating how to bootstrap the ROC curve, a widely used visual tool for evaluating the accuracy of test/scoring statistics in the bipartite setup. The issue of confidence bands for the ROC curve is considered and a resampling procedure based on a smooth version of the empirical distribution called the "smoothed ...
Patrice Bertail+2 more
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Induction Motor Fault Classification Based on ROC Curve and t-SNE
This paper proposes a novel fault classification method with application to induction motors, which is based on integrating and combining with receiver operating characteristic (ROC) curve and t-distribution stochastic neighbor embedding (t-SNE ...
Chun-Yao Lee, Wen-Cheng Lin
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Lognormal Lorenz and normal receiver operating characteristic curves as mirror images [PDF]
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
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