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

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

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 f...

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Bibliographic Details
Main Authors: Ashleigh Rich, Emma McGorray, Carrie Baldwin-SoRelle, Michelle Cawley, Karen Grigg, Lauren B. Beach, Gregory Phillips, Tonia Poteat
Format: Article
Language:English
Published: University Library System, University of Pittsburgh 2025-01-01
Series:Journal of the Medical Library Association
Subjects:
Sexual and Gender Minorities
Health
Methods
Systematic Review
Automation
Online Access:http://jmla.pitt.edu/ojs/jmla/article/view/1860
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http://jmla.pitt.edu/ojs/jmla/article/view/1860

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