Leveraging Large Language Models to Derive Multiple Sclerosis Progression Assessments from Clinical Notes: A Feasibility Study.

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Bibliographic Details
Title: Leveraging Large Language Models to Derive Multiple Sclerosis Progression Assessments from Clinical Notes: A Feasibility Study.
Authors: Hwang S; Institute for Biomedical Informatics, Perelman School of Medicine University of Pennsylvania, Philadelphia, PA, USA, sy.hwang@pennmedicine.upenn.edu., Thomas S; Institute for Biomedical Informatics, Perelman School of Medicine University of Pennsylvania, Philadelphia, PA, USA., Williams H; Institute for Biomedical Informatics, Perelman School of Medicine University of Pennsylvania, Philadelphia, PA, USA., Hutchinson T; Institute for Biomedical Informatics, Perelman School of Medicine University of Pennsylvania, Philadelphia, PA, USA., Schriver E; Institute for Biomedical Informatics, Perelman School of Medicine University of Pennsylvania, Philadelphia, PA, USA., Batugo A; Institute for Biomedical Informatics, Perelman School of Medicine University of Pennsylvania, Philadelphia, PA, USA., Bar-Or A; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Sharma V; Roche Diagnostics, Santa Clara, CA, USA., Buijs F; F. Hoffmann-La Roche, Basel, Switzerland., Perrone C; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Mowery D; Institute for Biomedical Informatics, Perelman School of Medicine University of Pennsylvania, Philadelphia, PA, USA.
Source: Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing [Pac Symp Biocomput] 2026; Vol. 31, pp. 324-337.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: World Scientific Country of Publication: United States NLM ID: 9711271 Publication Model: Print Cited Medium: Internet ISSN: 2335-6936 (Electronic) Linking ISSN: 23356928 NLM ISO Abbreviation: Pac Symp Biocomput Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2335-6936
DOI:10.1142/9789819824755_0023