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Machine learning models of tobacco susceptibility and current use among adolescents from 97 countries in the Global Youth Tobacco Survey, 2013-2017

Adolescents are particularly vulnerable to tobacco initiation and escalation. Identifying factors associated with adolescent tobacco susceptibility and use can guide tobacco prevention efforts. Novel machine learning (ML) approaches efficiently identify interactive relations among factors of tobacco...

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Detalles Bibliográficos
Autores principales: Kim, Nayoung, Loh, Wei-Yin, McCarthy, Danielle E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021689/
https://www.ncbi.nlm.nih.gov/pubmed/36962106
http://dx.doi.org/10.1371/journal.pgph.0000060