Natural Language Processing and Social Determinants of Health in Mental Health Research: AI-Assisted Scoping Review.

ABSTRACT:

Background

The use of natural language processing (NLP) in mental health research is increasing, with a wide range of applications and datasets being investigated.

Objective

This review aims to summarize the use of NLP in mental health research, with a special focus on the types of text datasets and the use of social determinants of health (SDOH) in NLP projects related to mental health.

Methods

The search was conducted in September 2024 using a broad search strategy in PubMed, Scopus, and CINAHL Complete. All citations were uploaded to Covidence (Veritas Health Innovation) software. The screening and extraction process took place in Covidence with the help of a custom large language model (LLM) module developed by our team. This LLM module was calibrated and tuned to

SUBMITTER: Scherbakov DA 

PROVIDER: S-EPMC11756842 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature