Machine learning in the analysis of mental health at work: a scoping review
The application of machine learning in occupational mental health research remains in its preliminary stages, with a primary focus on methodology and computer science. The review highlights the necessity for interdisciplinary collaboration to fully leverage the potential of machine learning in advancing occupational health research.
Authors
- Pekka Varje (ORCID: https://orcid.org/0000-0002-7554-0621)
- Ilkka Kivimäki
- Simo Taimela (ORCID: https://orcid.org/0000-0001-6755-2983)
- Ari Väänänen (ORCID: https://orcid.org/0000-0003-1107-5799)
- Olli Haavisto
- Tiina Kalliomäki-Levanto
Institutions
- Finnish Institute of Occupational Health (FI)
- Etelä-Karjalan sosiaali ja terveyspiiri (FI)
Publication Details
- Journal
- Journal of Occupational Health
- Published
- 2026-03-09
- DOI
- https://doi.org/10.1093/joccuh/uiag014
- Primary Topic
- Digital Mental Health Interventions
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Työsuojelurahasto