Results 111 to 120 of about 3,583,799 (330)
, 2021 Explanation of rank-order applied for preterm birth history to construct ROC curve. (DOCX)
Roger Smith (10569) +4 more
core +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Determination of ROC Curve based diagnostic strength of miRNA in ovarian cancer
Journal of the Pakistan Medical AssociationObjective: To examine the diagnostic accuracy of 10 serum-derived micro ribonucleic acids in the early detection of ovarian cancer. Method: The cross-sectional, comparative study was conducted at the Department of Physiology and Cell Biology ...
Rizwana Hussain, Saba Khaliq
doaj +1 more source
Entropy, 2020 The predictive receiver operating characteristic (PROC) curve is a diagrammatic format with application in the statistical evaluation of probabilistic disease forecasts.
Gareth Hughes
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian +6 more
wiley +1 more source
Equivalence of binormal likelihood-ratio and bi-chi-squared ROC curve models
Statistics in Medicine, 2015 A basic assumption for a meaningful diagnostic decision variable is that there is a monotone relationship between it and its likelihood ratio. This relationship, however, generally does not hold for a decision variable that results in a binormal receiver
S. Hillis
semanticscholar +1 more source
Features of the area under the receiver operating characteristic (ROC) curve. A good practice
, 2016 The area under the receiver operating characteristic (ROC) curve is a measure of discrimination ability used in diagnostic and prognostic research. The ROC plot is usually represented without additional information about decision thresholds used to ...
Contador, Israel +3 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Hereditary Spastic Paraplegia (HSP) comprises a group of rare genetic diseases characterized by length‐dependent axonal degeneration of the corticospinal tracts and dorsal columns, whose main clinical feature is spastic gait. Pathogenic variants in the SPG4 gene cause Spastic Paraplegia Type 4 (SPG4‐HSP), the most common form of HSP.
Gaia Fattorini +12 more
wiley +1 more source
The ROC curve is used to evaluate the performance of the classifier, the area under the ROC curve, denoted as Area Under the Curve (AUC), represents the performance of the classifier.
Lijun Wang (176511) +5 more
core +1 more source
, 2011 Copyright information:Taken from "A comparative analysis of predictive models of morbidity in intensive care unit after cardiac surgery – Part I: model planning"http://www.biomedcentral.com/1472-6947/7/35BMC Medical Informatics and Decision Making 2007;7(
Gabriele Cevenini (65044) +5 more
core +1 more source