Results 101 to 110 of about 127,696,973 (248)
Area Under Curve (AUC) analysis of plasma biomarkers.
, 2014 Area Under Curve (AUC) and 95% confidence interval in brackets was listed. AUCs with significant predictive values were in bold.
Xinxin Zhang (309944) +11 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To evaluate the expression of nine blood RNA biomarkers in a clinical trial based on genes previously identified in an experimental monkey model of stroke for diagnosis feasibility and prognostication. Methods IBIS‐CT1 was a prospective longitudinal study enrolling patients with ischemic stroke (IS) or intracerebral hemorrhage (ICH ...
Salomé Retailleau +11 more
wiley +1 more source
Stanford decoding accuracies (CMC AUC % (Cumulative Match Curve Area Under Curve)).
, 2019 Stanford decoding accuracies (CMC AUC % (Cumulative Match Curve Area Under Curve)).
Barry Devereux (7387685) +3 more
core +1 more source
A new confidence interval based on the theory of U-statistics for the area under the curve
Modern Stochastics: Theory and ApplicationsThe area under the receiver operating characteristic curve (AUC) is a suitable measure for the quality of classification algorithms. Here we use the theory of U-statistics in order to derive new confidence intervals for it.
Jürgen Kampf +4 more
doaj +1 more source
Sensors, 2009 This work proposes a new method to classify multi-spectral satellite images based on multivariate adaptive regression splines (MARS) and compares this classification system with the more common parallelepiped and maximum likelihood (ML) methods. We apply
Elia Quirós +2 more
doaj +1 more source
Journal of Education for Students Placed at Risk (JESPAR), 2019 Early Warning Systems (EWS) and Early Warning Indictors (EWI) have recently emerged as an attractive domain for states and school districts interested in predicting student outcomes using data that schools already collect with the intention to better time and tailor interventions.
Bowers, Alex J., Zhou, Xiaoliang
openaire +3 more sources
Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Novel composite inflammatory markers' role in stroke prognosis is understudied, and the best predictor is unclear, requiring further exploration. Objectives This study aimed to systematically evaluate the associations of 6 novel composite inflammatory markers on stroke prognosis.
Bing Wu +7 more
wiley +1 more source
Estimating the Area under a Receiver Operating Characteristic Curve For Repeated Measures Design [PDF]
The receiver operating characteristic (ROC) curve is widely used for diagnosing as well as for judging the discrimination ability of different statistical models.
Honghu Liu, Tongtong Wu
core
Trento decoding accuracies (CMC AUC % (Cumulative Match Curve Area Under Curve)).
, 2019 Trento decoding accuracies (CMC AUC % (Cumulative Match Curve Area Under Curve)).
Barry Devereux (7387685) +3 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