Development of a natural language-processing application for LGBTQ+ status in mental health records
LGBTQ+ status can be determined using this NLP application with a high success rate. The NLP application produced through this work has opened up mental health records to a variety of research questions involving LGBTQ+ status, and should be explored further. Additional work should aim to extend what has been done here by developing an application that can distinguish between different LGBTQ+ groups to examine inequalities between these groups.
Authors
- Charvi Saraswat (ORCID: https://orcid.org/0009-0006-9450-7970)
- Katharine A. Rimes (ORCID: https://orcid.org/0000-0003-2634-455X)
- Ruimin Ma (ORCID: https://orcid.org/0000-0002-6051-8093)
- Jyoti Sanyal
- Diogo Eiras Pontes (ORCID: https://orcid.org/0000-0001-8955-7929)
- David Chandran (ORCID: https://orcid.org/0000-0002-0123-666X)
- Margaret Heslin (ORCID: https://orcid.org/0000-0002-3094-9255)
- Robert Stewart (ORCID: https://orcid.org/0000-0002-4435-6397)
- Jaya Chaturvedi (ORCID: https://orcid.org/0000-0002-6359-9853)
- Angus Roberts (ORCID: https://orcid.org/0000-0002-4570-9801)
- Charlotte Woodhead
- Anne Marie Bonnici Mallia
- Ace Taaca (ORCID: https://orcid.org/0009-0007-5616-8055)
Institutions
- King's College London (GB)
- South London and Maudsley NHS Foundation Trust (GB)
Publication Details
- Journal
- BJPsych Open
- Published
- 2025-10-13
- DOI
- https://doi.org/10.1192/bjo.2025.10855
- Primary Topic
- LGBTQ Health, Identity, and Policy
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- King's College Hospital NHS Foundation Trust
- Maudsley Charity
- UK Research and Innovation
- National Institute for Health and Care Research
- Department of Health and Social Care
- King's College London
- NIHR Maudsley Biomedical Research Centre
- Medical Research Council
- National Institute for Health Research Applied Research Collaboration South London