Results 51 to 60 of about 127,975,471 (298)
Area Under Curve Receiver Operator Characteristic (AUC/ROC).
, 2023 Area Under Curve Receiver Operator Characteristic (AUC/ROC) of the model achieving the highest accuracy (Fig 8, Model H) on the test set. (PNG)
David Harris-Birtill (4521286) +5 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
Receiver operating characteristic curve
Current Medicine Research and Practice, 2012 A receiver operating characteristic (ROC) curve is a plot of tradeoff between sensitivity and specificity. It is a plot that evaluates a diagnostic test for a continuous variable between diseased and non-diseased subjects.
Anita Singh +2 more
doaj
On the analysis of glycomics mass spectrometry data via the regularized area under the ROC curve
BMC Bioinformatics, 2007 Background Novel molecular and statistical methods are in rising demand for disease diagnosis and prognosis with the help of recent advanced biotechnology.
Lebrilla Carlito B +4 more
doaj +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
Hinge Rank Loss and the Area Under the ROC Curve [PDF]
, 2007 In ranking as well as in classification problems, the Area under the ROC Curve (AUC), or the equivalent Wilcoxon-Mann-Whitney statistic, has recently attracted a lot of attention. We show that the AUC can be lower bounded based on the hinge-rank-loss, which simply is the rank-version of the standard (parametric) hinge loss. This bound is asymptotically
openaire +1 more source
, 2023 Comparison of model performance using area under the ROC curve (AUROC) and area under the precision-recall curve (AUPR) on DREAM5 data sets.
Zoran Nikoloski (175457) +1 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source
Comparison of the qSOFA and NEWS scores and the SIRS criteria in predicting outcomes in emergency department patients with and without infection: results from a prospective observational study [PDF]
Клиническая микробиология и антимикробная химиотерапия, 2019 Objective. To compare the Quick Sequential (Sepsis-Related Organ Failure Assessment (qSOFA), National Early Warning Score (NEWS) and Systemic Inflammatory Response Syndrome (SIRS) scores value in predicting poor outcomes in emergency department patients
Astafyeva M.N. +9 more
doaj +1 more source
Area-under-the-curve (AUC) scores of learning methods on ChestX-ray14.
, 2022 Area-under-the-curve (AUC) scores of learning methods on ChestX-ray14.
Le Trieu Phong (13184011)
core +1 more source