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A machine learning-based clinical decision support system to identify prescriptions with a high risk of medication error.

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Title: A machine learning-based clinical decision support system to identify prescriptions with a high risk of medication error.
Authors: Corny, Jennifer1, jcorny@hpsj.fr, Rajkumar, Asok1, Martin, Olivier2, Dode, Xavier3,4, Lajonchère, Jean-Patrick5, Billuart, Olivier6, Bézie, Yvonnick1, Buronfosse, Anne6
Source: Journal of the American Medical Informatics Association; Nov2020, Vol. 27 Issue 11, p1688-1694, 7p, 1 Chart, 2 Graphs
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 147137652
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A machine learning-based clinical decision support system to identify prescriptions with a high risk of medication error.
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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>; Nov2020, Vol. 27 Issue 11, p1688-1694, 7p, 1 Chart, 2 Graphs
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=147137652
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1093/jamia/ocaa154
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      – Code: eng
        Text: English
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        PageCount: 7
        StartPage: 1688
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      – TitleFull: A machine learning-based clinical decision support system to identify prescriptions with a high risk of medication error.
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            NameFull: Corny, Jennifer
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              M: 11
              Text: Nov2020
              Type: published
              Y: 2020
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            – TitleFull: Journal of the American Medical Informatics Association
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