Results 41 to 50 of about 2,515,870 (362)
Functional Prediction of Hypothetical Proteins from and Validation of the Predicted Models by Using ROC Curve Analysis [PDF]
Genomics & Informatics, 2018 Shigella spp. constitutes some of the key pathogens responsible for the global burden of diarrhoeal disease. With over 164 million reported cases per annum, shigellosis accounts for 1.1 million deaths each year.
Md. Amran Gazi +9 more
doaj +1 more source
Medical Decision Making, 2010 Receiver operating characteristic (ROC) curves evaluate the discriminatory power of a continuous marker to predict a binary outcome. The most popular parametric model for an ROC curve is the binormal model, which assumes that the marker, after a monotone transformation, is normally distributed conditional on the outcome.
Glenn Heller, Mithat Gonen
openaire +4 more sources
Is the ROC curve a reliable tool to compare the validity of landslide susceptibility maps?
, 2018 This study investigates how effective the receiver operating characteristic (ROC) curve is for comparing the reliability of landslide susceptibility maps (LSMs).
V. Vakhshoori, M. Zare
semanticscholar +1 more source
Mixtures of Receiver Operating Characteristic Curves [PDF]
, 2013 Rationale and Objectives: ROC curves are ubiquitous in the analysis of imaging metrics as markers of both diagnosis and prognosis. While empirical estimation of ROC curves remains the most popular method, there are several reasons to consider smooth ...
Gonen, Mithat
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, 2012 The receiver operating characteristic (ROC) curve, the positive predictive value (PPV) curve and the negative predictive value (NPV) curve are three measures of performance for a continuous diagnostic biomarker.
Feng, Ziding, Koopmeiners, Joseph S.
core +1 more source
Predictive MGMT status in a homogeneous cohort of IDH wildtype glioblastoma patients [PDF]
, 2019 Methylation of the O(6)-Methylguanine-DNA methyltransferase (MGMT) promoter is predictive for treatment response in glioblastoma patients. However, precise predictive cutoff values to distinguish "MGMT methylated" from "MGMT unmethylated" patients remain
Hempt, Claudia +12 more
core +1 more source
Diagnostic Accuracy of Anthropometric Indicators in the Prediction of Urinary Incontinence in Physically Active Older Women [PDF]
Revista Brasileira de Ginecologia e Obstetrícia, 2016 Purpose To determine the diagnostic accuracy and the cutoff point of the variables conicity index, waist to height ratio and fat percentage to detect urinary incontinence in physically active older women. Method A total of 152 women were analyzed. The
Enaiane Cristina Menezes +5 more
doaj +1 more source
Comparing ROC Curves Derived From Regression Models [PDF]
, 2011 In constructing predictive models, investigators frequently assess the incremental value of a predictive marker by comparing the ROC curve generated from the predictive model including the new marker with the ROC curve from the model excluding the new ...
Begg, Colin B +2 more
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Precrec: fast and accurate precision–recall and ROC curve calculations in R
Bioinform., 2016 Summary: The precision–recall plot is more informative than the ROC plot when evaluating classifiers on imbalanced datasets, but fast and accurate curve calculation tools for precision–recall plots are currently not available.
Takaya Saito, Marc Rehmsmeier
semanticscholar +1 more source
Semiparametric Estimation of the Covariate-Specific ROC Curve in Presence of Ignorable Verification Bias [PDF]
, 2011 Covariate-specific ROC curves are often used to evaluate the classification accuracy of a medical diagnostic test or a biomarker, when the accuracy of the test is associated with certain covariates. In many large-scale screening tests, the gold standard
Liu, Danping, Zhou, Xiao-Hua
core +2 more sources