Fine-Tuning Large Language Models for Effective Nutrition Support in Residential Aged Care: A Domain Expertise Approach
This approach demonstrates the feasibility of developing specialised LLMs for identifying and predicting malnutrition among older adults in RAC. Future work includes further optimisation of prediction performance and integration with clinical workflows to support early intervention.
Authors
- Jun Shen (ORCID: https://orcid.org/0000-0002-9403-7140)
- Hui‐Chen Chang (ORCID: https://orcid.org/0000-0002-8305-0585)
- Chao Deng (ORCID: https://orcid.org/0000-0003-1147-5741)
- Mohammad Alkhalaf
- Dinithi Vithanage (ORCID: https://orcid.org/0000-0001-5851-7158)
- Ping Yu (ORCID: https://orcid.org/0000-0002-7910-9396)
Institutions
- Qassim University (SA)
- University of Wollongong (AU)
- Western Sydney University (AU)
Publication Details
- Journal
- Healthcare
- Published
- 2025-10-17
- DOI
- https://doi.org/10.3390/healthcare13202614
- Citations
- 1
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 1.16
Funders
- National Computational Infrastructure
- Qassim University
- University of Ruhuna
- National Cancer Institute