Results 71 to 80 of about 3,627,751 (263)

Accuracy of logistic models and receiver operating characteristic curves [PDF]

open access: yes
The accuracy of prediction is a commonly studied topic in modern statistics. The performance of a predictor is becoming increasingly more important as real-life decisions axe made on the basis of prediction.
Corbett, Philip
core  

ROC (receiver operating characteristic) curve of various methods.

open access: yes, 2013
ROC (receiver operating characteristic) curve of various methods.
Seang-Mei Saw (159451)   +6 more
core   +1 more source

Receiver-operating characteristic curve analysis of combined biomarkers.

open access: yes, 2021
Receiver-operating characteristic curve analysis of combined biomarkers.
Henning Locht (589035)   +3 more
core   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

open access: yesAnnals 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

An Improved Method for Bandwidth Selection when Estimating ROC Curves [PDF]

open access: yes
The receiver operating characteristic (ROC) curve is used to describe the performance of a diagnostic test which classifies observations into two groups.
Peter Hall, Rob J. Hyndman
core  

Receiver operating characteristic (ROC) curve for DHI scoring.

open access: yes, 2013
Receiver operating characteristic (ROC) curve for DHI scoring.
Amrish Saxena (385400)   +1 more
core   +1 more source

Integrated PANoptosis Profiling Identifies Immunosuppressive Subtypes and a Prognostic Signature With Functional Validation of MLKL in Glioblastoma

open access: yesAnnals 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

Coordinates of the receiver operating characteristic (ROC) curve.

open access: yes, 2019
Coordinates of the receiver operating characteristic (ROC) curve.
Ng Chong Guan (6400754)   +4 more
core   +1 more source

Do unbalanced data have a negative effect on LDA? [PDF]

open access: yes, 2008
For two-class discrimination, Xie and Qiu [The effect of imbalanced data sets on LDA: a theoretical and empirical analysis, Pattern Recognition 40 (2) (2007) 557–562] claimed that, when covariance matrices of the two classes were unequal, a (class ...
Titterington, D.M., Xue, J.H.
core   +1 more source

Receiver operating characteristic curve (ROC) of P. tatarinowii.

open access: yes, 2022
Receiver operating characteristic curve (ROC) of P. tatarinowii.
Yulin Yang (839480)   +5 more
core   +1 more source

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