Applied machine learning to identify differential risk groups underlying externalizing and internalizing problem behaviors trajectories: A case study using a cohort of Asian American children

BACKGROUND: Internalizing and externalizing problems account for over 75% of the mental health burden in children and adolescents in the US, with higher burden among minority children. While complex interactions of multilevel factors are associated with these outcomes and may enable early identifica...

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Detalles Bibliográficos
Autores principales: Adhikari, Samrachana, You, Shiying, Chen, Alan, Cheng, Sabrina, Huang, Keng-Yen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9983857/
https://www.ncbi.nlm.nih.gov/pubmed/36867610
http://dx.doi.org/10.1371/journal.pone.0282235

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9983857/
https://www.ncbi.nlm.nih.gov/pubmed/36867610
http://dx.doi.org/10.1371/journal.pone.0282235

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