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

Reviews in Digital Mental Health (289) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2111) Depression and Mood Disorders; Suicide Prevention (1691) Machine Learning (2076) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911) Web-based and Mobile Health Interventions (4018) Psychological, Behavioral, Social, and/or Cultural Experiments and Interventions (95)

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 (15) Tweetations (3) Metrics

Journals

  1. Burr S, Yu M, Clark D, Alonzo D, Gearing R. Digital Interventions for Suicide Prevention. Crisis 2025;46(3):176 View
  2. Elyamany N, Rizk N. Surveillant care or benevolent control? A multimodal genre and sentiment analysis of therapeutic mHealth app reviews. Discourse & Society 2025 View
  3. Esmaeilzadeh P. Decoding the cry for help: AI's emerging role in suicide risk assessment. AI and Ethics 2025;5(5):4645 View
  4. Dhanda S, Panwar D, Lin C, Sharma T, Rastogi D, Bindewari S, Singh A, Li Y, Agarwal N, Agarwal S. Advancement in public health through machine learning: a narrative review of opportunities and ethical considerations. Journal of Big Data 2025;12(1) View
  5. Kho J, Song S, Tan S, Fitriyah N, Lokadjaja M, Yee J, Yang Z, Chen E, Lee J, Goh W. Leveraging computational linguistics and machine learning for detection of ultra-high risk of mental health disorders in youths. Schizophrenia 2025;11(1) View
  6. Qadir S, Alsoubai M, Park J, Ali N, Choudhury M, Wisniewski P. Triaging Casual from Critical: Leveraging Machine Learning to Detect Self-Harm and Suicide Risks for Youth on Social Media (Preprint). JMIR Mental Health 2025 View
  7. Wright B, Evanson A, Casey C, Law K, Rogers A, Comtois K. Exploring the Impact of the Caring Contacts Intervention on the Stress and Distress of Veterans and Service Members: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2025;14:e72140 View
  8. Hao N, Chen M, Zhao N, Zhang J, Zheng F. Artificial intelligence-assisted psychological intervention mechanisms for university students in the context of new media technologies: an analysis based on data from the national institute of mental health. Frontiers in Psychology 2025;16 View
  9. Sweeney C, Ennis E, Mulvenna M, Bond R, O'Meara Á. Assessing Patterns of Nonadherence With Reporting Guidelines for Articles Relating to Suicide in National Media. Crisis 2025;46(6):311 View

Books/Policy Documents

  1. Alqaidoom M, Ateeq A, Aljazrawi Z. Sustainable Data Management. View
  2. Kalaiarasi S, Alagumani S, Manoj Kumar D. Advances in Intelligent Computing and Communication. View
  3. Haoues M, Mokni R. Management of Digital EcoSystems. View
  4. Jayasankara Reddy K. Integrated Holistic Mental Healthcare. View

Conference Proceedings

  1. Akilandeswari T, Prakash A, Bhushan R, Raj A, Alam M. 2025 5th International Conference on Expert Clouds and Applications (ICOECA). Lifeline Connect: A Web-based Multi-Feature System for Mental Health Support View
  2. Batrisyia Nazri N, Fariza Zulkurnain N, Gunawan T, Zainuddin N, Kartiwi M, Yusoff N. 2025 IEEE 11th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA). Real-Time NLP-Based Stress Detection in Social Media for Digital Mental Health Intervention View