Predictors of illicit substance abuse/dependence during young adulthood: a machine learning approach - 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, Kapczinski F, de Azevedo Cardoso T.

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...
Source: SafetyLit - Category: International Medicine & Public Health Tags: Age: Young Adults Source Type: news