View in EDS

Comparison of rule- and large language model-based phenotype extraction from clinical notes for neurofibromatosis type 1.

Saved in:
Bibliographic Details
Title: Comparison of rule- and large language model-based phenotype extraction from clinical notes for neurofibromatosis type 1.
Authors: Kaster L; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St Louis, St Louis, MO 63110, United States., Hillis E; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St Louis, St Louis, MO 63110, United States., Oh IY; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St Louis, St Louis, MO 63110, United States., Cordell EC; Department of Neurology, Washington University School of Medicine in St Louis, St Louis, MO 63110, United States., Foraker RE; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St Louis, St Louis, MO 63110, United States., Lai AM; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St Louis, St Louis, MO 63110, United States., Morris SM; Center for Autism Services, Science, and Innovation (CASSI), Kennedy Krieger Institute, Baltimore, MD 21211, United States., Gutmann DH; Department of Neurology, Washington University School of Medicine in St Louis, St Louis, MO 63110, United States., Payne PRO; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St Louis, St Louis, MO 63110, United States., Gupta A; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St Louis, St Louis, MO 63110, United States.
Source: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2025 Nov 01; Vol. 32 (11), pp. 1663-1673.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 40966762
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Comparison of rule- and large language model-based phenotype extraction from clinical notes for neurofibromatosis type 1.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Kaster+L%22">Kaster L</searchLink>; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St Louis, St Louis, MO 63110, United States.<br /><searchLink fieldCode="AU" term="%22Hillis+E%22">Hillis E</searchLink>; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St Louis, St Louis, MO 63110, United States.<br /><searchLink fieldCode="AU" term="%22Oh+IY%22">Oh IY</searchLink>; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St Louis, St Louis, MO 63110, United States.<br /><searchLink fieldCode="AU" term="%22Cordell+EC%22">Cordell EC</searchLink>; Department of Neurology, Washington University School of Medicine in St Louis, St Louis, MO 63110, United States.<br /><searchLink fieldCode="AU" term="%22Foraker+RE%22">Foraker RE</searchLink>; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St Louis, St Louis, MO 63110, United States.<br /><searchLink fieldCode="AU" term="%22Lai+AM%22">Lai AM</searchLink>; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St Louis, St Louis, MO 63110, United States.<br /><searchLink fieldCode="AU" term="%22Morris+SM%22">Morris SM</searchLink>; Center for Autism Services, Science, and Innovation (CASSI), Kennedy Krieger Institute, Baltimore, MD 21211, United States.<br /><searchLink fieldCode="AU" term="%22Gutmann+DH%22">Gutmann DH</searchLink>; Department of Neurology, Washington University School of Medicine in St Louis, St Louis, MO 63110, United States.<br /><searchLink fieldCode="AU" term="%22Payne+PRO%22">Payne PRO</searchLink>; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St Louis, St Louis, MO 63110, United States.<br /><searchLink fieldCode="AU" term="%22Gupta+A%22">Gupta A</searchLink>; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St Louis, St Louis, MO 63110, United States.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%229430800%22">Journal of the American Medical Informatics Association : JAMIA</searchLink> [J Am Med Inform Assoc] 2025 Nov 01; Vol. 32 (11), pp. 1663-1673.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Comparative Study
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9430800 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1527-974X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210675027%22">10675027 </searchLink><i>NLM ISO Abbreviation: </i>J Am Med Inform Assoc <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40966762
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1093/jamia/ocaf155
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 1663
    Titles:
      – TitleFull: Comparison of rule- and large language model-based phenotype extraction from clinical notes for neurofibromatosis type 1.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Kaster L
      – PersonEntity:
          Name:
            NameFull: Hillis E
      – PersonEntity:
          Name:
            NameFull: Oh IY
      – PersonEntity:
          Name:
            NameFull: Cordell EC
      – PersonEntity:
          Name:
            NameFull: Foraker RE
      – PersonEntity:
          Name:
            NameFull: Lai AM
      – PersonEntity:
          Name:
            NameFull: Morris SM
      – PersonEntity:
          Name:
            NameFull: Gutmann DH
      – PersonEntity:
          Name:
            NameFull: Payne PRO
      – PersonEntity:
          Name:
            NameFull: Gupta A
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: 2025 Nov 01
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 1527-974X
          Numbering:
            – Type: volume
              Value: 32
            – Type: issue
              Value: 11
          Titles:
            – TitleFull: Journal of the American Medical Informatics Association : JAMIA
              Type: main
ResultId 1