Natural Language Processing and Social Determinants of Health in Mental Health Research: AI-Assisted Scoping Review
This scoping review underscores the significant role of clinical notes and social media in NLP-based mental health research. Despite the clear relevance of SDOH to mental health, their underutilization presents a gap in current research. This review can be a starting point for researchers looking for an overview of mental health projects using text data. Shared datasets could be used to place more emphasis on SDOH in future studies.
Authors
- Alexander V. Alekseyenko (ORCID: https://orcid.org/0000-0002-5748-2085)
- Jihad S. Obeid (ORCID: https://orcid.org/0000-0002-7193-7779)
- Leslie Lenert (ORCID: https://orcid.org/0000-0002-9680-5094)
- Dmitry Scherbakov (ORCID: https://orcid.org/0009-0005-7274-0934)
- Nina Hubig (ORCID: https://orcid.org/0000-0002-8911-7832)
Institutions
- Medical University of South Carolina (US)
- University of Arts and Industrial Design Linz (AT)
Publication Details
- Journal
- JMIR Mental Health
- Published
- 2024-11-28
- DOI
- https://doi.org/10.2196/67192
- Citations
- 15
- Primary Topic
- Mental Health via Writing
- Type
- article
- Field-Weighted Citation Impact
- 9.65