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

Saved in:
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
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41719356
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Fine-tuning foundational models to code diagnoses from veterinary health records.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Boguslav+MR%22">Boguslav MR</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Kiehl+A%22">Kiehl A</searchLink>; College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, Colorado, United States of America.<br /><searchLink fieldCode="AU" term="%22Kott+D%22">Kott D</searchLink>; Data Science Research Institute, Colorado State University, Fort Collins, Colorado, United States of America.<br /><searchLink fieldCode="AU" term="%22Strecker+GJ%22">Strecker GJ</searchLink>; College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, Colorado, United States of America.<br /><searchLink fieldCode="AU" term="%22Webb+TL%22">Webb TL</searchLink>; College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, Colorado, United States of America.<br /><searchLink fieldCode="AU" term="%22Saklou+N%22">Saklou N</searchLink>; College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, Colorado, United States of America.<br /><searchLink fieldCode="AU" term="%22Ward+T%22">Ward T</searchLink>; Veterinary Teaching Hospital, Colorado State University, Fort Collins, Colorado, United States of America.<br /><searchLink fieldCode="AU" term="%22Kirby+M%22">Kirby M</searchLink>; Data Science Research Institute, Colorado State University, Fort Collins, Colorado, United States of America.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%229918335064206676%22">PLOS digital health</searchLink> [PLOS Digit Health] 2026 Feb 20; Vol. 5 (2), pp. e0001147. <i>Date of Electronic Publication: </i>2026 Feb 20 (<i>Print Publication: </i>2026).
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22PLOS%22">PLOS </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9918335064206676 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2767-3170 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2227673170%22">27673170 </searchLink><i>NLM ISO Abbreviation: </i>PLOS Digit Health <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41719356
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1371/journal.pdig.0001147
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: e0001147
    Titles:
      – TitleFull: Fine-tuning foundational models to code diagnoses from veterinary health records.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Boguslav MR
      – PersonEntity:
          Name:
            NameFull: Kiehl A
      – PersonEntity:
          Name:
            NameFull: Kott D
      – PersonEntity:
          Name:
            NameFull: Strecker GJ
      – PersonEntity:
          Name:
            NameFull: Webb TL
      – PersonEntity:
          Name:
            NameFull: Saklou N
      – PersonEntity:
          Name:
            NameFull: Ward T
      – PersonEntity:
          Name:
            NameFull: Kirby M
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 20
              M: 02
              Text: 2026 Feb 20
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 2767-3170
          Numbering:
            – Type: volume
              Value: 5
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: PLOS digital health
              Type: main
ResultId 1