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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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| Pubblicato in: | PLoS One |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7135284/ https://ncbi.nlm.nih.gov/pubmed/32251439 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0230389 |
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