Standard Vocabularies to Improve Machine Learning Model Transferability With Electronic Health Record Data: Retrospective Cohort Study Using Health Care-Associated Infection.

Saved in:
Bibliographic Details
Title: Standard Vocabularies to Improve Machine Learning Model Transferability With Electronic Health Record Data: Retrospective Cohort Study Using Health Care-Associated Infection.
Authors: Kiser AC; Department of Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, UT, United States., Eilbeck K; Department of Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, UT, United States., Ferraro JP; Department of Medicine, School of Medicine, University of Utah, Salt Lake City, UT, United States., Skarda DE; Center for Value-Based Surgery, Intermountain Healthcare, Salt Lake City, UT, United States.; Department of Surgery, School of Medicine, University of Utah, Salt Lake City, UT, United States., Samore MH; Department of Medicine, School of Medicine, University of Utah, Salt Lake City, UT, United States.; Informatics, Decision-Enhancement and Analytic Sciences Center 2.0, Veterans Affairs Salt Lake City Health Care System, Salt Lake City, UT, United States., Bucher B; Department of Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, UT, United States.; Department of Surgery, School of Medicine, University of Utah, Salt Lake City, UT, United States.
Source: JMIR medical informatics [JMIR Med Inform] 2022 Aug 30; Vol. 10 (8), pp. e39057. Date of Electronic Publication: 2022 Aug 30.
Publication Type: Journal Article
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101645109 Publication Model: Electronic Cited Medium: Print ISSN: 2291-9694 (Print) Linking ISSN: 22919694 NLM ISO Abbreviation: JMIR Med Inform Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 36040784
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Standard Vocabularies to Improve Machine Learning Model Transferability With Electronic Health Record Data: Retrospective Cohort Study Using Health Care-Associated Infection.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Kiser+AC%22">Kiser AC</searchLink>; Department of Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, UT, United States.<br /><searchLink fieldCode="AU" term="%22Eilbeck+K%22">Eilbeck K</searchLink>; Department of Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, UT, United States.<br /><searchLink fieldCode="AU" term="%22Ferraro+JP%22">Ferraro JP</searchLink>; Department of Medicine, School of Medicine, University of Utah, Salt Lake City, UT, United States.<br /><searchLink fieldCode="AU" term="%22Skarda+DE%22">Skarda DE</searchLink>; Center for Value-Based Surgery, Intermountain Healthcare, Salt Lake City, UT, United States.; Department of Surgery, School of Medicine, University of Utah, Salt Lake City, UT, United States.<br /><searchLink fieldCode="AU" term="%22Samore+MH%22">Samore MH</searchLink>; Department of Medicine, School of Medicine, University of Utah, Salt Lake City, UT, United States.; Informatics, Decision-Enhancement and Analytic Sciences Center 2.0, Veterans Affairs Salt Lake City Health Care System, Salt Lake City, UT, United States.<br /><searchLink fieldCode="AU" term="%22Bucher+B%22">Bucher B</searchLink>; Department of Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, UT, United States.; Department of Surgery, School of Medicine, University of Utah, Salt Lake City, UT, United States.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101645109%22">JMIR medical informatics</searchLink> [JMIR Med Inform] 2022 Aug 30; Vol. 10 (8), pp. e39057. <i>Date of Electronic Publication: </i>2022 Aug 30.
– 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="%22JMIR+Publications%22">JMIR Publications </searchLink><i>Country of Publication: </i>Canada <i>NLM ID: </i>101645109 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2291-9694 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2222919694%22">22919694 </searchLink><i>NLM ISO Abbreviation: </i>JMIR Med Inform <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36040784
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.2196/39057
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: e39057
    Titles:
      – TitleFull: Standard Vocabularies to Improve Machine Learning Model Transferability With Electronic Health Record Data: Retrospective Cohort Study Using Health Care-Associated Infection.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Kiser AC
      – PersonEntity:
          Name:
            NameFull: Eilbeck K
      – PersonEntity:
          Name:
            NameFull: Ferraro JP
      – PersonEntity:
          Name:
            NameFull: Skarda DE
      – PersonEntity:
          Name:
            NameFull: Samore MH
      – PersonEntity:
          Name:
            NameFull: Bucher B
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 30
              M: 08
              Text: 2022 Aug 30
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-print
              Value: 2291-9694
          Numbering:
            – Type: volume
              Value: 10
            – Type: issue
              Value: 8
          Titles:
            – TitleFull: JMIR medical informatics
              Type: main
ResultId 1