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

Reviews in Digital Mental Health (225) e-Mental Health and Cyberpsychology (1386) Depression and Mood Disorders; Suicide Prevention (1271) Machine Learning (1370) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1552) Web-based and Mobile Health Interventions (3092) Psychological, -behavioural, -social, and/or -cultural Experiments and Interventions (35)

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
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.