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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Detalles Bibliográficos
Autores principales: Iorfino, Frank, Ho, Nicholas, Carpenter, Joanne S., Cross, Shane P., Davenport, Tracey A., Hermens, Daniel F., Yee, Hannah, Nichles, Alissa, Zmicerevska, Natalia, Guastella, Adam, Scott, Elizabeth, Hickie, Ian B.
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/PMC7775066/
https://www.ncbi.nlm.nih.gov/pubmed/33382713
http://dx.doi.org/10.1371/journal.pone.0243467

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7775066/
https://www.ncbi.nlm.nih.gov/pubmed/33382713
http://dx.doi.org/10.1371/journal.pone.0243467

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