Predicting self-harm within six months after initial presentation to youth mental health services: A machine learning study.

<h4>Background</h4>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 ter...

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Bibliographic Details
Main Authors: Frank Iorfino, Nicholas Ho, Joanne S Carpenter, Shane P Cross, Tracey A Davenport, Daniel F Hermens, Hannah Yee, Alissa Nichles, Natalia Zmicerevska, Adam Guastella, Elizabeth Scott, Ian B Hickie
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0243467