Developing a Tool for Identifying Clinical Risk From Free-Text Clinical Records: Natural Language Processing Study
The risk identification tool successfully determined the correct risk category of veterans from a large sample of clinical notes. Future studies should investigate whether this tool can detect more nuanced differences in risk and be generalizable across data sources.
Authors
- Dominic Murphy (ORCID: https://orcid.org/0000-0002-9530-2743)
- Natasha Biscoe (ORCID: https://orcid.org/0000-0003-3471-6472)
Institutions
- King's College London (GB)
- Leatherhead Food Research (GB)
Publication Details
- Journal
- JMIR AI
- Published
- 2025-08-15
- DOI
- https://doi.org/10.2196/64898
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00