Predicting the presence of depressive symptoms in the HIV-HCV co-infected population in Canada using supervised machine learning

BackgroundDepression is common in the human immunodeficiency virus (HIV)-hepatitis C virus (HCV) co-infected population. Demographic, behavioural, and clinical data collected in research settings may be of help in identifying those at risk for clinical depression. We aimed to predict the presence of depressive symptoms indicative of a risk of depression and identify important classification predictors using supervised machine learning.MethodsWe …