Approaches for extracting daily dosage from free-text prescription signatures in heart failure with reduced ejection fraction: a comparative study
This study demonstrates that both the LLM and RxSig models excel in daily dose extraction from free-text sigs, with the RxSig model appearing to be the more scalable approach.
Authors
- Kensaku Kawamoto (ORCID: https://orcid.org/0000-0003-4282-9338)
- Claude Nanjo (ORCID: https://orcid.org/0009-0002-1208-8858)
- Jeehoon Choi (ORCID: https://orcid.org/0000-0001-6983-6015)
- Phillip B. Warner (ORCID: https://orcid.org/0000-0001-6074-2813)
- Ameen Abu‐Hanna (ORCID: https://orcid.org/0000-0003-4324-7954)
- Theodorus S Haaker
Institutions
- University of Utah (US)
- University of Amsterdam (NL)
Publication Details
- Journal
- JAMIA Open
- Published
- 2024-12-26
- DOI
- https://doi.org/10.1093/jamiaopen/ooae153
- Primary Topic
- Heart Failure Treatment and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Amsterdams Universiteitsfonds