Results 41 to 50 of about 3,627,751 (263)
Receiver operating characteristic (ROC) curve.
, 2018 Receiver operating characteristic (ROC) curve.
Duc T. Nguyen (690616) +2 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To assess the association and discriminative performance of serum biomarkers with clinical disease progression and survival in patients with amyotrophic lateral sclerosis (ALS). Methods This retrospective study, conducted at Houston Methodist Hospital, Houston, TX, used longitudinal serum samples collected between January 2018 and ...
David R. Beers +7 more
wiley +1 more source
Can Anti-Müllerian hormone predict the diagnosis of polycystic ovary syndrome? : A systematic review and meta-analysis of extracted data [PDF]
, 2013 Context: Existing biochemical tests for polycystic ovary syndrome (PCOS) have poor sensitivity and specificity. Many women with PCOS have high anti-Müllerian hormone (AMH) concentrations; thus, this may be a useful addition to the diagnostic criteria ...
Iliodromiti, S. +7 more
core +1 more source
Predictive Ability of Plasma p‐tau217 for β‐Amyloid Status: A Prospective Multicenter Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Plasma tau phosphorylated at threonine 217 (p‐tau217) measured with fully automated platforms has shown high accuracy for Alzheimer's disease (AD) diagnosis, but real‐world multicenter data remain limited. We aimed to validate the diagnostic performance of p‐tau217 for identifying AD pathology in a real‐world multicenter cohort ...
Miquel Massons +33 more
wiley +1 more source
plotROC: A Tool for Plotting ROC Curves
Journal of Statistical Software, 2017 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
doaj +1 more source
SoftwareX, 2022 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
doaj +1 more source
Relationship between Brier score and area under the binormal ROC curve [PDF]
, 2002 If we consider the Brier Score (B) in the context of the signal detection theory and assume that it makes sense to consider the existence of B as a parameter for the population (let B be this B), and if we assume that the calibration in the observer's ...
Ishigaki, Takeo +4 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Collaterals are crucial factors that influence the infarct growth rate (IGR). We aimed to determine whether a comprehensive multimodal collateral score (MCS), incorporating collateral assessment at the arterial, tissue, and venous levels, is associated with functional independence and provides incremental prognostic value over ...
Giorgio Busto +12 more
wiley +1 more source
ESTIMATING THE ROC CURVE AND ITS SIGNIFICANCE FOR CLASSIFICATION MODELS’ ASSESSMENT
Quantitative Methods in Economics, 2014 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
doaj
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
doaj +1 more source