Results 71 to 80 of about 488,717 (225)
Receiver operating characteristic curve (ROC) of P. tatarinowii.
, 2022 Receiver operating characteristic curve (ROC) of P. tatarinowii.
Yulin Yang (839480) +5 more
core +1 more source
Robust volcano plot: identification of differential metabolites in the presence of outliers
BMC Bioinformatics, 2018 Background The identification of differential metabolites in metabolomics is still a big challenge and plays a prominent role in metabolomics data analyses.
Nishith Kumar +2 more
doaj +1 more source
Accuracy of logistic models and receiver operating characteristic curves [PDF]
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.
, 2013 ROC (receiver operating characteristic) curve of various methods.
Seang-Mei Saw (159451) +6 more
core +1 more source
, 2008 OBJECTIVE: To establish, among the cut-off values for the homeostatic model assessment for insulin resistance index (HOMA-IR) cited in the literature, the best in identifying metabolic syndrome (MS) in obese and overweight children.
I. Madeira +5 more
semanticscholar +1 more source
Noise and Health, 2015 Recent findings show the importance of acceptance in the treatment of chronic tinnitus. So far, very limited research investigating the different levels of tinnitus acceptance has been conducted.
David Riedl +5 more
doaj +1 more source
An Improved Method for Bandwidth Selection when Estimating ROC Curves [PDF]
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 Crohn’s disease patients.
, 2019 Receiver operating characteristic (ROC) curve for Crohn’s disease patients.
Emily Brandt (7244525) +6 more
core +1 more source
AUC-RF: A New Strategy for Genomic Profiling with Random Forest [PDF]
, 2011 Objective: Genomic profiling, the use of genetic variants at multiple loci simultaneously for the prediction of disease risk, requires the selection of a set of genetic variants that best predicts disease status.
Luz Calle, M. +10 more
core +1 more source
Receiver-operating characteristic (ROC) curve of EuroSCORE models.
, 2015 Receiver-operating characteristic (ROC) curve of EuroSCORE models.
Pablo M. Pomerantzeff (695966) +8 more
core +1 more source