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

Journal: PloS one
PMID: 33382713

Abstract

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 assessments and/or intervention. The aim of this study was to predict self-harm within six-months after initial presentation.

Authors

  • Frank Iorfino
    Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.
  • Nicholas Ho
    Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.
  • Joanne S Carpenter
    Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.
  • Shane P Cross
    Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.
  • Tracey A Davenport
    Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.
  • Daniel F Hermens
    Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.
  • Hannah Yee
    Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.
  • Alissa Nichles
    Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.
  • Natalia Zmicerevska
    Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.
  • Adam Guastella
    Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.
  • Elizabeth Scott
    Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.
  • Ian B Hickie
    Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.

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