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Use of Large Language Models to Classify Epidemiological Characteristics in Synthetic and Real-World Social Media Posts About Conjunctivitis Outbreaks: Infodemiology Study.

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Title: Use of Large Language Models to Classify Epidemiological Characteristics in Synthetic and Real-World Social Media Posts About Conjunctivitis Outbreaks: Infodemiology Study.
Authors: Deiner MS; Francis I Proctor Foundation for Research in Ophthalmology, University of California, San Francisco, San Francisco, CA, United States.; Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, United States., Deiner RY; Abraham Lincoln High School, San Francisco, CA, San Francisco, CA, United States., Fathy C; Document Control Center, Food and Drug Administration, Center for Biologics Evaluation and Research, Silver Spring, CA, United States., Deiner NA; College of Letters and Sciences, University of California, Santa Barbara, Santa Barbara, CA, United States., Hristidis V; Department of Computer Science and Engineering, University of California, Riverside, Riverside, CA, United States., McLeod SD; Francis I Proctor Foundation for Research in Ophthalmology, University of California, San Francisco, San Francisco, CA, United States.; Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, United States.; American Academy of Ophthalmology, San Francisco, CA, United States., Bukowski TJ; Francis I Proctor Foundation for Research in Ophthalmology, University of California, San Francisco, San Francisco, CA, United States., Doan T; Francis I Proctor Foundation for Research in Ophthalmology, University of California, San Francisco, San Francisco, CA, United States.; Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, United States., Seitzman GD; Francis I Proctor Foundation for Research in Ophthalmology, University of California, San Francisco, San Francisco, CA, United States.; Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, United States., Lietman TM; Francis I Proctor Foundation for Research in Ophthalmology, University of California, San Francisco, San Francisco, CA, United States.; Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, United States.; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States., Porco TC; Francis I Proctor Foundation for Research in Ophthalmology, University of California, San Francisco, San Francisco, CA, United States.; Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, United States.; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States.
Source: Journal of medical Internet research [J Med Internet Res] 2025 Jul 02; Vol. 27, pp. e65226. Date of Electronic Publication: 2025 Jul 02.
Publication Type: Journal Article
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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