Using machine learning to determine the shared and unique risk factors for marijuana use among child-welfare versus community adolescents.

Using machine learning to determine the shared and unique risk factors for marijuana use among child-welfare versus community adolescents.

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<h4>Objective</h4>This study used machine learning (ML) to test an empirically derived set of risk factors for marijuana use. Models were built separately for child welfare (CW) and non-CW adolescents in order to compare the variables selected as important features/risk factors.<h4>...

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Bibliographic Details
Main Authors: Sonya Negriff, Bistra Dilkina, Laksh Matai, Eric Rice
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0274998

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https://doi.org/10.1371/journal.pone.0274998

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