Machine learning applications in studying mental health among immigrants and racial and ethnic minorities: an exploratory scoping review.

ABSTRACT:

Background

The use of machine learning (ML) in mental health (MH) research is increasing, especially as new, more complex data types become available to analyze. By examining the published literature, this review aims to explore the current applications of ML in MH research, with a particular focus on its use in studying diverse and vulnerable populations, including immigrants, refugees, migrants, and racial and ethnic minorities.

Methods

From October 2022 to March 2024, Google Scholar, EMBASE, and PubMed were queried. ML-related, MH-related, and population-of-focus search terms were strung together with Boolean operators. Backward reference searching was also conducted. Included peer-reviewed studies reported using a method or application of ML in an MH context and focused

SUBMITTER: Park KK 

PROVIDER: S-EPMC11468366 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature