A Large Language Model Approach to Identifying Preoperative Frailty Among Older Adults From Clinical Notes
We report the development and validation of a classifier that detects older adults at risk for preoperative frailty from preoperative anesthesia clinical notes. Large language models can be used to accurately identify a difficult-to-quantify and multifactorial characteristic such as frailty in patients by using readily available unstructured information from clinical notes.
Authors
- Onkar Litake (ORCID: https://orcid.org/0000-0002-5484-5290)
- Nicole Y. Xu (ORCID: https://orcid.org/0000-0001-9353-8819)
- Minhthy N. Meineke
- Rodney A. Gabriel (ORCID: https://orcid.org/0000-0003-4443-0021)
- Jeffrey Tully (ORCID: https://orcid.org/0000-0002-3537-6716)
- Waseem Abdou
- Ying Qiu Zhou
Institutions
- University of California San Diego (US)
Publication Details
- Journal
- Journal of the American Geriatrics Society
- Published
- 2025-05-15
- DOI
- https://doi.org/10.1111/jgs.19545
- Citations
- 5
- Primary Topic
- Frailty in Older Adults
- Type
- article
- Field-Weighted Citation Impact
- 6.12