A network approach to compute hypervolume under receiver operating characteristic manifold for multi-class biomarkers
type: Item
instance of: scholarly article
title: A network approach to compute hypervolume under receiver operating characteristic manifold for multi-class biomarkers
zbMATH Open document ID: 1548.62319
author: Qunqiang Feng
author: Pan Liu
author: Pei Fen Kuan
author: Fei Zou
author: Jianan Chen
author: Jialiang Li
published in: Statistics in Medicine
publication date: 2024-10-30T00:00:00Z
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 7936161
zbMATH Keywords: diagnostic medicine
zbMATH Keywords: exposome
zbMATH Keywords: hypervolume under ROC manifold
zbMATH Keywords: mild cognitive impairment
zbMATH Keywords: network graph
zbMATH Keywords: post-traumatic stress disorder
MaRDI profile type: Publication
cites work: Q4792072
cites work: Comparing the Areas Under Two Correlated ROC Curves: Parametric and Non‐Parametric Approaches
cites work: A simple generalisation of the area under the ROC curve for multiple class classification problems
cites work: Multiple-event forced-choice tasks in the theory of signal detectability
cites work: ROC analysis with multiple classes and multiple tests: methodology and its application in microarray studies
cites work: Computing the polytomous discrimination index
cites work: On the scalability of ordered multi-class ROC analysis
cites work: Hypervolume under ROC manifold for discrete biomarkers with ties
cites work: Statistical analysis of network data. Methods and models
cites work: Q4230740
cites work: Evaluating classification accuracy for modern learning approaches
cites work: Large computation of the maximum rank correlation estimator
DOI: 10.1002/SIM.9646
description: scientific article; zbMATH DE number 7936161