Natural Language Processing and Social Determinants of Health in Mental Health Research: AI-Assisted Scoping Review
Abstract BackgroundThe use of natural language processing (NLP) in mental health research is increasing, with a wide range of applications and datasets being investigated. ObjectiveThis review aims to summarize the use of NLP in mental health research, with a speci...
Saved in:
Main Authors: | Dmitry A Scherbakov, Nina C Hubig, Leslie A Lenert, Alexander V Alekseyenko, Jihad S Obeid |
---|---|
Format: | Article |
Language: | English |
Published: |
JMIR Publications
2025-01-01
|
Series: | JMIR Mental Health |
Online Access: | https://mental.jmir.org/2025/1/e67192 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Use of AI in Mental Health Services to Support Decision-Making: Scoping Review
by: Hassan Auf, et al.
Published: (2025-01-01) -
Exploring the Credibility of Large Language Models for Mental Health Support: Protocol for a Scoping Review
by: Dipak Gautam, et al.
Published: (2025-01-01) -
Maternal mental health matters: Indicators for perinatal mental health-A scoping review.
by: Elly Layton, et al.
Published: (2025-01-01) -
Responsible Design, Integration, and Use of Generative AI in Mental Health
by: Oren Asman, et al.
Published: (2025-01-01) -
The stigmatization of mental illness by mental health professionals: Scoping review and bibliometric analysis.
by: Michael Jauch, et al.
Published: (2023-01-01)