Machine learning in mental health: a scoping review of methods and applications

Shatte, Adrian B. R., Hutchinson, Delyse M. and Teague, Samantha J. 2019, Machine learning in mental health: a scoping review of methods and applications, Psychological medicine, vol. 49, no. 9, pp. 1426-1448, doi: 10.1017/S0033291719000151.

Attached Files
Name Description MIMEType Size Downloads

Title Machine learning in mental health: a scoping review of methods and applications
Author(s) Shatte, Adrian B. R.ORCID iD for Shatte, Adrian B. R. orcid.org/0000-0002-6225-9697
Hutchinson, Delyse M.ORCID iD for Hutchinson, Delyse M. orcid.org/0000-0003-3221-7143
Teague, Samantha J.ORCID iD for Teague, Samantha J. orcid.org/0000-0002-0487-7307
Journal name Psychological medicine
Volume number 49
Issue number 9
Start page 1426
End page 1448
Total pages 23
Publisher Cambridge University Press
Place of publication Cambridge, Eng.
Publication date 2019-07
ISSN 0033-2917
1469-8978
Keyword(s) Big data
health informatics
machine learning
mental health
Language eng
DOI 10.1017/S0033291719000151
Indigenous content off
Field of Research 1701 Psychology
1117 Public Health and Health Services
1109 Neurosciences
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2019, Cambridge University Press
Persistent URL http://hdl.handle.net/10536/DRO/DU:30118498

Document type: Journal Article
Collections: Faculty of Health
School of Psychology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 1 times in TR Web of Science
Scopus Citation Count Cited 3 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 106 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Mon, 18 Feb 2019, 12:35:12 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.