Developing Large Language Model-based Pipeline for Identification of Disease Diagnosis: A Case Study on Identifying Newly Diagnosed Multiple Myeloma and its Precursor Disease in Veterans Health Administration Electronic Health Records.

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Title: Developing Large Language Model-based Pipeline for Identification of Disease Diagnosis: A Case Study on Identifying Newly Diagnosed Multiple Myeloma and its Precursor Disease in Veterans Health Administration Electronic Health Records.
Authors: Wang M; Research Service, St. Louis Veterans Affairs Medical Center, St. Louis, MO.; Washington University in St. Louis, St. Louis, MO., Kuan YH; Research Service, St. Louis Veterans Affairs Medical Center, St. Louis, MO.; Washington University in St. Louis, St. Louis, MO., Alba PR; Veterans Affairs Salt Lake City Health Care System, Salt Lake City, UT.; University of Utah School of Medicine, Salt Lake City, UT., Gan Q; Veterans Affairs Salt Lake City Health Care System, Salt Lake City, UT.; University of Utah School of Medicine, Salt Lake City, UT., Schoen MW; Research Service, St. Louis Veterans Affairs Medical Center, St. Louis, MO.; Saint Louis University School of Medicine, St. Louis, MO., Thomas TS; Research Service, St. Louis Veterans Affairs Medical Center, St. Louis, MO.; Washington University in St. Louis, St. Louis, MO., Li JS; Washington University in St. Louis, St. Louis, MO., Chang SH; Research Service, St. Louis Veterans Affairs Medical Center, St. Louis, MO.; Washington University in St. Louis, St. Louis, MO.
Source: AMIA ... Annual Symposium proceedings. AMIA Symposium [AMIA Annu Symp Proc] 2025 May 22; Vol. 2024, pp. 1325-1334. Date of Electronic Publication: 2025 May 22 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: American Medical Informatics Association Country of Publication: United States NLM ID: 101209213 Publication Model: eCollection Cited Medium: Internet ISSN: 1942-597X (Electronic) Linking ISSN: 15594076 NLM ISO Abbreviation: AMIA Annu Symp Proc Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1942-597X