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Improving clinical decision support through interpretable machine learning and error handling in electronic health records.

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Title: Improving clinical decision support through interpretable machine learning and error handling in electronic health records.
Authors: Arora, Mehak1, Mortagy, Hassan2, Dwarshuis, Nathan2, Wang, Jeffrey3, Yang, Philip4, Holder, Andre L4, Gupta, Swati5, Kamaleswaran, Rishikesan1
Source: Journal of the American Medical Informatics Association; Jan2026, Vol. 33 Issue 1, p123-132, 10p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 190773670
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>; Jan2026, Vol. 33 Issue 1, p123-132, 10p
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1093/jamia/ocaf058
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 123
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      – TitleFull: Improving clinical decision support through interpretable machine learning and error handling in electronic health records.
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      – PersonEntity:
          Name:
            NameFull: Arora, Mehak
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            NameFull: Mortagy, Hassan
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            NameFull: Dwarshuis, Nathan
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            NameFull: Wang, Jeffrey
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            NameFull: Yang, Philip
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            NameFull: Holder, Andre L
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            – D: 01
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              Text: Jan2026
              Type: published
              Y: 2026
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              Value: 33
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            – TitleFull: Journal of the American Medical Informatics Association
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