Prediction of depression cases, incidence, and chronicity in a large occupational cohort using machine learning techniques: an analysis of the ELSA-Brasil study - Librenza-Garcia, Diego; Passos, Ives Cavalcante; Feiten, Jacson Gabriel; Lotufo, Paulo A.; Goulart, Alessandra C.; de Souza Santos, Itamar; Viana, Maria Carmen; Benseñor, Isabela M.; Brunoni, Andre Russowsky (Psychological medicine, 2021)
Keywords: Adult; Anxiety disorders; Biological markers; Brazil - epidemiology; Cohort analysis; Cohort Studies; Depression - diagnosis; Depression - epidemiology; Diagnosis; Diagnostic tests; Disability; Feature selection; Humans; Incidence; Learning algorithms; Longitudinal Studies; Low income groups; Machine Learning; Medical diagnosis; Medical prognosis; Mental depression; Mental disorders; Original Article; Prognosis; Psychotropic drugs; Recurrent; Sociodemographics; Variables; Brazil; Incident depression; major depressive disorder; machine learning; prognosis