Results 51 to 60 of about 472,455 (180)
plotROC: A Tool for Plotting ROC Curves
Plots of the receiver operating characteristic (ROC) curve are ubiquitous in medical research. Designed to simultaneously display the operating characteristics at every possible value of a continuous diagnostic test, ROC curves are used in oncology to ...
Michael C. Sachs
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Receiver Operating Characteristic (ROC) analysis is a prevalent tool for two-class problems in a wide range of science and engineering areas. The relevant scalar area under the ROC curve (AUC) has been proven to be a robust evaluation index for ...
Shun Liu +5 more
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ESTIMATING THE ROC CURVE AND ITS SIGNIFICANCE FOR CLASSIFICATION MODELS’ ASSESSMENT
Article presents a ROC (receiver operating characteristic) curve and its application for classification models’ assessment. ROC curve, along with area under the receiver operating characteristic (AUC) is frequently used as a measure for the diagnostics ...
Ryszard Szupiluk +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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Smooth ROC curve estimation via Bernstein polynomials.
The receiver operating characteristic (ROC) curve is commonly used to evaluate the accuracy of a diagnostic test for classifying observations into two groups.
Dongliang Wang, Xueya Cai
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Assessment of Sonoelastography as Diagnosis Tool of Inflammatory Myopathies [PDF]
Background: Inflammatory myopathies represent a special group of pathology. Establishing the correct diagnosis in the early phase and a better follow-up are the main objective for improving the life quality of these patients.
Carolina BOTAR-JID +6 more
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Receiver operating characteristic curve in diagnostic test assessment.
The performance of a diagnostic test in the case of a binary predictor can be evaluated using the measures of sensitivity and specificity. However, in many instances, we encounter predictors that are measured on a continuous or ordinal scale.
J. Mandrekar
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Image saliency detection based on geodesic‐like and boundary contrast maps
Image saliency detection is the basis of perceptual image processing, which is significant to subsequent image processing methods. Most saliency detection methods can detect only a single object with a high‐contrast background, but they have no effect on
Yingchun Guo, Yi Liu, Runxin Ma
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OBJECTIVE: To establish, among the cut-off values for the homeostatic model assessment for insulin resistance index (HOMA-IR) cited in the literature, the best in identifying metabolic syndrome (MS) in obese and overweight children.
I. Madeira +5 more
semanticscholar +1 more source
Robust volcano plot: identification of differential metabolites in the presence of outliers
Background The identification of differential metabolites in metabolomics is still a big challenge and plays a prominent role in metabolomics data analyses.
Nishith Kumar +2 more
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