Automated tools for systematic review screening methods: an application of machine learning for sexual orientation and gender identity measurement in health research.

ABSTRACT:

Objective

Sexual and gender minority (SGM) populations experience health disparities compared to heterosexual and cisgender populations. The development of accurate, comprehensive sexual orientation and gender identity (SOGI) measures is fundamental to quantify and address SGM disparities, which first requires identifying SOGI-related research. As part of a larger project reviewing and synthesizing how SOGI has been assessed within the health literature, we provide an example of the application of automated tools for systematic reviews to the area of SOGI measurement.

Methods

In collaboration with research librarians, a three-phase approach was used to prioritize screening for a set of 11,441 SOGI measurement studies published since 2012. In Phase 1, search results were stra

SUBMITTER: Rich AJ 

PROVIDER: S-EPMC11835039 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature