A scoping review on the use of machine learning in research on social determinants of health: Trends and research prospects.

ABSTRACT:

Background

Machine learning (ML) has spread rapidly from computer science to several disciplines. Given the predictive capacity of ML, it offers new opportunities for health, behavioral, and social scientists. However, it remains unclear how and to what extent ML is being used in studies of social determinants of health (SDH).

Methods

Using four search engines, we conducted a scoping review of studies that used ML to study SDH (published before May 1, 2020). Two independent reviewers analyzed the relevant studies. For each study, we identified the research questions, Results, data, and algorithms. We synthesized our findings in a narrative report.

Results

Of the initial 8097 hits, we identified 82 relevant studies. The number of publications has risen during the past

SUBMITTER: Kino S 

PROVIDER: S-EPMC8207228 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature