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Predicting self-harm within six months after initial presentation to youth mental health services: A machine learning study
BACKGROUND: A priority for health services is to reduce self-harm in young people. Predicting self-harm is challenging due to their rarity and complexity, however this does not preclude the utility of prediction models to improve decision-making regarding a service response in terms of more detailed...
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| Publicado no: | PLoS One |
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| Main Authors: | , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7775066/ https://ncbi.nlm.nih.gov/pubmed/33382713 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0243467 |
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