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Electronic phenotyping of health outcomes of interest using a linked claims-electronic health record database: Findings from a machine learning pilot project.

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Title: Electronic phenotyping of health outcomes of interest using a linked claims-electronic health record database: Findings from a machine learning pilot project.
Authors: Gibson, Teresa B1, teresa.gibson@us.ibm.com, Nguyen, Michael D2, Burrell, Timothy1, Yoon, Frank1, Wong, Jenna3, Dharmarajan, Sai4, Ouellet-Hellstrom, Rita5, Hua, Wei2, Ma, Yong6, Baro, Elande7, Bloemers, Sarah1, Pack, Cory1, Kennedy, Adee3, Toh, Sengwee3, Ball, Robert8
Source: Journal of the American Medical Informatics Association; Jul2021, Vol. 28 Issue 7, p1507-1517, 11p, 1 Diagram, 4 Charts, 2 Graphs
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 151400467
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+American+Medical+Informatics+Association%22">Journal of the American Medical Informatics Association</searchLink>; Jul2021, Vol. 28 Issue 7, p1507-1517, 11p, 1 Diagram, 4 Charts, 2 Graphs
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=151400467
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1093/jamia/ocab036
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 11
        StartPage: 1507
    Titles:
      – TitleFull: Electronic phenotyping of health outcomes of interest using a linked claims-electronic health record database: Findings from a machine learning pilot project.
        Type: main
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            NameFull: Gibson, Teresa B
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            – D: 01
              M: 07
              Text: Jul2021
              Type: published
              Y: 2021
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              Value: 28
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              Value: 7
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            – TitleFull: Journal of the American Medical Informatics Association
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