Fine-tuning foundational models to code diagnoses from veterinary health records.

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Bibliographic Details
Title: Fine-tuning foundational models to code diagnoses from veterinary health records.
Authors: Boguslav MR; Data Science Research Institute, Colorado State University, Fort Collins, Colorado, United States of America.; Southern California Clinical and Translational Science Institute, University of Southern California, Los Angeles, California, United States of America., Kiehl A; College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, Colorado, United States of America., Kott D; Data Science Research Institute, Colorado State University, Fort Collins, Colorado, United States of America., Strecker GJ; College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, Colorado, United States of America., Webb TL; College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, Colorado, United States of America., Saklou N; College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, Colorado, United States of America., Ward T; Veterinary Teaching Hospital, Colorado State University, Fort Collins, Colorado, United States of America., Kirby M; Data Science Research Institute, Colorado State University, Fort Collins, Colorado, United States of America.
Source: PLOS digital health [PLOS Digit Health] 2026 Feb 20; Vol. 5 (2), pp. e0001147. Date of Electronic Publication: 2026 Feb 20 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: PLOS Country of Publication: United States NLM ID: 9918335064206676 Publication Model: eCollection Cited Medium: Internet ISSN: 2767-3170 (Electronic) Linking ISSN: 27673170 NLM ISO Abbreviation: PLOS Digit Health Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2767-3170
DOI:10.1371/journal.pdig.0001147