Predicting mental health problems in adolescence using machine learning techniques

BACKGROUND: Predicting which children will go on to develop mental health symptoms as adolescents is critical for early intervention and preventing future, severe negative outcomes. Although many aspects of a child’s life, personality, and symptoms have been flagged as indicators, there is currently...

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Detalles Bibliográficos
Autores principales: Tate, Ashley E., McCabe, Ryan C., Larsson, Henrik, Lundström, Sebastian, Lichtenstein, Paul, Kuja-Halkola, Ralf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7135284/
https://www.ncbi.nlm.nih.gov/pubmed/32251439
http://dx.doi.org/10.1371/journal.pone.0230389

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7135284/
https://www.ncbi.nlm.nih.gov/pubmed/32251439
http://dx.doi.org/10.1371/journal.pone.0230389

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