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

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

doi:10.1371/journal.pone.0243467

Back

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

Journal article

Open access

Peer reviewed

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

Frank Iorfino, Nicholas Ho, Joanne S Carpenter, Shane P Cross, Tracey A Davenport, Daniel F Hermens, Hannah Yee, Alissa Nichles, Natalia Zmicerevska, Adam Guastella, …

PLoS One, Vol.15(12), pp.1-16

2020

DOI: https://doi.org/10.1371/journal.pone.0243467

PMID: 33382713

Appears in Thompson Institute Research Collection

Files and links (2)

pdf

Predicting self-harm within six months after initial presentation to youth mental health services - A machine learning study965.04 kBDownload View

Published VersionCC BY V4.0, Open Access

url

https://doi.org/10.1371/journal. pone.0243467View

Published Version

Abstract

Youth mental health

Suicide prevention

Thompson Institute Special Collection

UniSC Diversity Area - Life Stages

No abstract available.

Details

Title: Predicting self-harm within six months after initial presentation to youth mental health services: A machine learning study
Authors: Frank Iorfino (Author) - The University of Sydney
Nicholas Ho (Author) - The University of Sydney
Joanne S Carpenter (Author) - The University of Sydney
Shane P Cross (Author) - The University of Sydney
Tracey A Davenport (Author) - The University of Sydney
Daniel F Hermens (Author) - University of the Sunshine Coast, Queensland, Thompson Institute
Hannah Yee (Author) - The University of Sydney
Alissa Nichles (Author) - The University of Sydney
Natalia Zmicerevska (Author) - The University of Sydney
Adam Guastella (Author) - The University of Sydney
Elizabeth Scott (Author) - The University of Sydney
Ian B Hickie (Author) - The University of Sydney
Publication details: PLoS One, Vol.15(12), pp.1-16
Publisher: Public Library of Science
Date published: 2020
DOI: 10.1371/journal.pone.0243467
ISSN: 1932-6203
PMID: 33382713
Copyright note: Copyright: © 2020 Iorfino et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Organisation Unit: Thompson Institute
Language: English
Record Identifier: 99498408002621
Output Type: Journal article

Metrics

7 File views/ downloads

49 Record Views

20 Times Cited - Web of Science

See more details

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types: Domestic collaboration
Web Of Science research areas: Psychiatry

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

Source: InCites