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Updated: Jan 7, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
Published on: February 23, 2019
Beyond "Women's" Health: A Natural Language Processing Analysis of Trends in Gender-Neutral Language Use
Yann Guérin1, Finlay Maguire2, Aisling Clancy3
1Faculty of Computer Science, Dalhousie University, Halifax, NS.
Abstract:
The aim of this cross-sectional study was to examine trends in gendered language use in abstracts pertaining to obstetrics and gynaecology and use of language specific to the transgender population. Of 4.8 million MEDLINE records, 955 626 abstracts met inclusion criteria and were classified using a natural language processing analysis. A total of 59% contained gendered language, 0.03% transgender, and 40.6% gender-neutral. The proportion of obstetrics and gynecology abstracts containing gender-neutral and transgender language has rapidly increased. This shift may represent a response to journal policies on language, and the growing recognition of the applicability of "women's" health to a broader population than cis-gendered women.
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