Social media markers to identify fathers at risk of postpartum depression: A machine learning approach

Shatte, Adrian B. R., Hutchinson, Delyse M., Fuller-Tyszkiewicz, Matthew and Teague, Samantha J. 2020, Social media markers to identify fathers at risk of postpartum depression: A machine learning approach, Cyberpsychology, Behavior, and Social Networking, vol. 23, no. 9, pp. 611-618, doi: 10.1089/cyber.2019.0746.

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Title Social media markers to identify fathers at risk of postpartum depression: A machine learning approach
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
Fuller-Tyszkiewicz, MatthewORCID iD for Fuller-Tyszkiewicz, Matthew orcid.org/0000-0003-1145-6057
Teague, Samantha J.ORCID iD for Teague, Samantha J. orcid.org/0000-0002-0487-7307
Journal name Cyberpsychology, Behavior, and Social Networking
Volume number 23
Issue number 9
Start page 611
End page 618
Total pages 8
Publisher Mary Ann Liebert, Inc. Publishers
Place of publication New Rochelle, N.Y.
Publication date 2020-09-08
ISSN 2152-2715
2152-2723
Keyword(s) Social Sciences
Psychology, Social
Psychology
postpartum depression
social media
fathers
parenting transition
mental health
postnatal depression
SYMPTOMS
WOMEN
FORUM
MEN
Language eng
DOI 10.1089/cyber.2019.0746
Indigenous content off
Field of Research 0806 Information Systems
1701 Psychology
1702 Cognitive Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2020, Mary Ann Liebert, Inc.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30139677

Document type: Journal Article
Collections: Faculty of Health
School of Psychology
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