Natural language processing for geriatric syndromes: a systematic review of methods, applications, and challenges
NLP has shown potential in GS analysis, particularly for the detection of syndromes and epidemiological research. However, the majority of studies only focused on one syndrome, and variability in dataset availability, annotation processes, and model performance present challenges to broader implementation. Future research should focus on improving the comprehensiveness of GS identification, dataset standardisation, enhancing model generalisability, and integrating NLP approaches into clinical workflows.
Authors
- Imane Guellil (ORCID: https://orcid.org/0000-0002-3858-3999)
- Beatrice Alex (ORCID: https://orcid.org/0000-0002-7279-1476)
- Matúš Falis (ORCID: https://orcid.org/0009-0006-7649-6251)
- Huayu Zhang (ORCID: https://orcid.org/0000-0002-9215-401X)
- Honghan Wu
- Fahrurrozi Rahman
- Bruce Guthrie
- Arlene Casey
- Abul Hasan
Institutions
- LifeArc (GB)
- University of Oxford (GB)
- Genomics (United Kingdom) (GB)
- University College London (GB)
- University of Glasgow (GB)
- University of Birmingham (GB)
- University of Edinburgh (GB)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2026-03-12
- DOI
- https://doi.org/10.1186/s12911-026-03417-0
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00