Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data.

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Title: Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data.
Authors: Tang, Shengpu1, Davarmanesh, Parmida2, Song, Yanmeng3, Koutra, Danai1, Sjoding, Michael W4,5,6,7, Wiens, Jenna1,5,6, wiensj@umich.edu
Source: Journal of the American Medical Informatics Association; Dec2020, Vol. 27 Issue 12, p1921-1934, 14p, 3 Diagrams, 8 Charts, 3 Graphs
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 147573380
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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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>; Dec2020, Vol. 27 Issue 12, p1921-1934, 14p, 3 Diagrams, 8 Charts, 3 Graphs
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=147573380
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      – Type: doi
        Value: 10.1093/jamia/ocaa139
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 1921
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      – TitleFull: Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data.
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            NameFull: Tang, Shengpu
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            NameFull: Davarmanesh, Parmida
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            NameFull: Song, Yanmeng
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            NameFull: Koutra, Danai
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            NameFull: Sjoding, Michael W
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            – D: 01
              M: 12
              Text: Dec2020
              Type: published
              Y: 2020
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