The Best of All Worlds: A Hybrid Approach to Cohort Identification with Rules, Small and Large Language Models.

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Bibliographic Details
Title: The Best of All Worlds: A Hybrid Approach to Cohort Identification with Rules, Small and Large Language Models.
Authors: Gan Q; VA Salt Lake City Health Care System, Salt Lake City, UT, USA.; Department of Internal Medicine, University of Utah Medical School, Salt Lake., Shi J; VA Salt Lake City Health Care System, Salt Lake City, UT, USA.; Department of Internal Medicine, University of Utah Medical School, Salt Lake., Bowles A; VA Salt Lake City Health Care System, Salt Lake City, UT, USA.; Department of Internal Medicine, University of Utah Medical School, Salt Lake., Hanchrow E; VA Salt Lake City Health Care System, Salt Lake City, UT, USA., Stanley J; VA Salt Lake City Health Care System, Salt Lake City, UT, USA., Hu M; VA Salt Lake City Health Care System, Salt Lake City, UT, USA.; Department of Internal Medicine, University of Utah Medical School, Salt Lake., Duvall SL; VA Salt Lake City Health Care System, Salt Lake City, UT, USA.; Department of Internal Medicine, University of Utah Medical School, Salt Lake., Alba PR; VA Salt Lake City Health Care System, Salt Lake City, UT, USA.; Department of Internal Medicine, University of Utah Medical School, Salt Lake.
Source: Studies in health technology and informatics [Stud Health Technol Inform] 2025 Aug 07; Vol. 329, pp. 789-793.
Publication Type: Journal Article
Journal Info: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-8365
DOI:10.3233/SHTI250948