Prediction of depression cases, incidence, and chronicity in a large occupational cohort using machine learning techniques: an analysis of the ELSA-Brasil study.

CONCLUSIONS: Diagnosis and prognosis related to depression can be predicted at an individual subject level by integrating low-cost variables, such as demographic and clinical data. Future studies should assess longer follow-up periods and combine biological predictors, such as genetics and blood biomarkers, to build more accurate tools to predict depression course.
PMID: 32493535 [PubMed - as supplied by publisher]

Source: Psychological Medicine - June 3, 2020 Category: Psychiatry Authors: Librenza-Garcia D, Passos IC, Feiten JG, Lotufo PA, Goulart AC, de Souza Santos I, Viana MC, Benseñor IM, Brunoni AR Tags: Psychol Med Source Type: research