This paper is in the following e-collection/theme issue:

Reviews in Digital Mental Health (247) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1565) Depression and Mood Disorders; Suicide Prevention (1392) Machine Learning (1501) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Web-based and Mobile Health Interventions (3357) Psychological, -behavioural, -social, and/or -cultural Experiments and Interventions (53)

Published on in Vol 11 (2024)

This is a member publication of Ulster University (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55747, first published .
Insights Derived From Text-Based Digital Media, in Relation to Mental Health and Suicide Prevention, Using Data Analysis and Machine Learning: Systematic Review

Insights Derived From Text-Based Digital Media, in Relation to Mental Health and Suicide Prevention, Using Data Analysis and Machine Learning: Systematic Review

Insights Derived From Text-Based Digital Media, in Relation to Mental Health and Suicide Prevention, Using Data Analysis and Machine Learning: Systematic Review

Authors of this article:

Colm Sweeney1 Author Orcid Image ;   Edel Ennis1 Author Orcid Image ;   Maurice D Mulvenna2 Author Orcid Image ;   Raymond Bond2 Author Orcid Image ;   Siobhan O'Neill1 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics

Colm Sweeney   1 * , MSc ;   Edel Ennis   1 * , PhD ;   Maurice D Mulvenna   2 , Prof Dr ;   Raymond Bond   2 , Prof Dr ;   Siobhan O'Neill   1 , Prof Dr

1 Department of Psychlogy, Ulster University, Coleraine, United Kingdom

2 School of Computing, Ulster University, Belfast, United Kingdom

*these authors contributed equally

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