The diagnostic performance of machine learning based on resting-state functional magnetic resonance imaging data for major depressive disorders: a systematic review and meta-analysis

OBJECTIVE: Machine learning (ML) has been widely used to detect and evaluate major depressive disorder (MDD) using neuroimaging data, i.e., resting-state functional magnetic resonance imaging (rs-fMRI). However, the diagnostic efficiency is unknown. The aim of the study is to conduct an updated meta...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Yanjing, Zhao, Wei, Yi, Sijie, Liu, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10559726/
https://www.ncbi.nlm.nih.gov/pubmed/37811326
http://dx.doi.org/10.3389/fnins.2023.1174080

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10559726/
https://www.ncbi.nlm.nih.gov/pubmed/37811326
http://dx.doi.org/10.3389/fnins.2023.1174080

Ejemplares similares