Conference
Predictors of illicit substance abuse/dependence during young adulthood: A machine learning approach
Abstract
Prior studies have found an especially high prevalence of illicit substance use among adolescents and young adults in Brazil. The current study aimed to employ machine learning techniques to identify predictors of illicit substance abuse/dependence among a large community sample of young adults followed for 5 years. This prospective, population-based cohort study included a sample of young adults between the ages of 18-24 years from Pelotas, …
Authors
Rakovski C; Ballester PL; Montezano BB; Dias de Mattos Souza L; Jansen K; Azevedo da Silva R; Mondin TC; Pedrotti Moreira F; De Boni RB; Frey BN
Volume
157
Pagination
pp. 168-173
Publisher
Elsevier
Publication Date
January 2023
DOI
10.1016/j.jpsychires.2022.11.030
Conference proceedings
Journal of Psychiatric Research
ISSN
0022-3956