Predicting the presence of depressive symptoms in the HIV-HCV co-infected population in Canada using supervised machine learning.
Background: Depression 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...
| Published in: | BMC Medical Research Methodology Vol. 22; no. 1; pp. 1 - 12 |
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| Main Authors: | , , , , , , , , , , , , , , , , , , , |
| Format: | research Journal Article |
| Published: |
BioMed Central
8/12/2022
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| Online Access: | View this record in EBSCOhost |