Recovery in personality disorders: the development and preliminary testing of a novel natural language processing model to identify recovery in mental health electronic records
It is feasible to develop NLP models for the identification of recovery domains for individuals with a diagnosis of personality disorder. Future research needs to improve the efficiency of pre-processing strategies to handle long clinical documents.
Authors
- Paul Moran (ORCID: https://orcid.org/0000-0002-9257-8699)
- Oliver Dale (ORCID: https://orcid.org/0000-0002-2724-4326)
- Richard D. Hayes (ORCID: https://orcid.org/0000-0003-4453-244X)
- Lifang Li (ORCID: https://orcid.org/0000-0003-4917-5701)
- S. Mahmood (ORCID: https://orcid.org/0009-0001-0859-9762)
- Jonathan Monk-Cunliffe (ORCID: https://orcid.org/0000-0002-4696-6578)
- Jaya Chaturvedi (ORCID: https://orcid.org/0000-0002-6359-9853)
- Angus Roberts (ORCID: https://orcid.org/0000-0002-4570-9801)
- Giouliana Kadra-Scalzo (ORCID: https://orcid.org/0000-0003-3182-905X)
Institutions
- King's College London (GB)
- Sussex Partnership NHS Foundation Trust (GB)
- University of Bristol (GB)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2025-04-03
- DOI
- https://doi.org/10.3389/fdgth.2025.1544781
- Primary Topic
- Personality Disorders and Psychopathology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- South London and Maudsley NHS Foundation Trust
- Maudsley Charity
- UK Research and Innovation
- National Institute for Health and Care Research
- Department of Health and Social Care
- Guy's and St Thomas' Charity
- King's College London
- NIHR Maudsley Biomedical Research Centre
- Medical Research Council
- National Institute for Health Research Applied Research Collaboration West