Using graph convolutional network to characterize individuals with major depressive disorder across multiple imaging sites

Establishing objective and quantitative neuroimaging biomarkers at individual level can assist in early and accurate diagnosis of major depressive disorder (MDD). However, most previous studies using machine learning to identify MDD were based on small sample size and did not account for the brain c...

Ausführliche Beschreibung