View in EDS

Natural language processing improves reliable identification of COVID-19 compared to diagnostic codes alone.

Saved in:
Bibliographic Details
Title: Natural language processing improves reliable identification of COVID-19 compared to diagnostic codes alone.
Authors: Hendrix N; Center for Professionalism and Value in Health Care, American Board of Family Medicine, Washington, DC 20036, United States., Parikh RV; Department of Epidemiology and Population Health, Stanford School of Medicine, Palo Alto, CA 94304, United States., Taskier M; Center for Professionalism and Value in Health Care, American Board of Family Medicine, Washington, DC 20036, United States., Walter G; Robert Graham Center, American Academy of Family Physicians, Washington, DC 20036, United States., Phillips RL; Center for Professionalism and Value in Health Care, American Board of Family Medicine, Washington, DC 20036, United States., Rehkopf DH; Department of Epidemiology and Population Health, Stanford School of Medicine, Palo Alto, CA 94304, United States.
Source: American journal of epidemiology [Am J Epidemiol] 2025 Nov 04; Vol. 194 (11), pp. 3348-3354.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: Oxford University Press Country of Publication: United States NLM ID: 7910653 Publication Model: Print Cited Medium: Internet ISSN: 1476-6256 (Electronic) Linking ISSN: 00029262 NLM ISO Abbreviation: Am J Epidemiol Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 40731247
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Natural language processing improves reliable identification of COVID-19 compared to diagnostic codes alone.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Hendrix+N%22">Hendrix N</searchLink>; Center for Professionalism and Value in Health Care, American Board of Family Medicine, Washington, DC 20036, United States.<br /><searchLink fieldCode="AU" term="%22Parikh+RV%22">Parikh RV</searchLink>; Department of Epidemiology and Population Health, Stanford School of Medicine, Palo Alto, CA 94304, United States.<br /><searchLink fieldCode="AU" term="%22Taskier+M%22">Taskier M</searchLink>; Center for Professionalism and Value in Health Care, American Board of Family Medicine, Washington, DC 20036, United States.<br /><searchLink fieldCode="AU" term="%22Walter+G%22">Walter G</searchLink>; Robert Graham Center, American Academy of Family Physicians, Washington, DC 20036, United States.<br /><searchLink fieldCode="AU" term="%22Phillips+RL%22">Phillips RL</searchLink>; Center for Professionalism and Value in Health Care, American Board of Family Medicine, Washington, DC 20036, United States.<br /><searchLink fieldCode="AU" term="%22Rehkopf+DH%22">Rehkopf DH</searchLink>; Department of Epidemiology and Population Health, Stanford School of Medicine, Palo Alto, CA 94304, United States.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%227910653%22">American journal of epidemiology</searchLink> [Am J Epidemiol] 2025 Nov 04; Vol. 194 (11), pp. 3348-3354.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, N.I.H., Extramural
– 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>United States <i>NLM ID: </i>7910653 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1476-6256 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200029262%22">00029262 </searchLink><i>NLM ISO Abbreviation: </i>Am J Epidemiol <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40731247
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1093/aje/kwaf162
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 3348
    Titles:
      – TitleFull: Natural language processing improves reliable identification of COVID-19 compared to diagnostic codes alone.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Hendrix N
      – PersonEntity:
          Name:
            NameFull: Parikh RV
      – PersonEntity:
          Name:
            NameFull: Taskier M
      – PersonEntity:
          Name:
            NameFull: Walter G
      – PersonEntity:
          Name:
            NameFull: Phillips RL
      – PersonEntity:
          Name:
            NameFull: Rehkopf DH
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 04
              M: 11
              Text: 2025 Nov 04
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 1476-6256
          Numbering:
            – Type: volume
              Value: 194
            – Type: issue
              Value: 11
          Titles:
            – TitleFull: American journal of epidemiology
              Type: main
ResultId 1