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A visual analytics approach for pattern-recognition in patient-generated data.

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Bibliographic Details
Title: A visual analytics approach for pattern-recognition in patient-generated data.
Authors: Feller, Daniel J1, Burgermaster, Marissa1, Levine, Matthew E1, Albers, David J1, Mamykina, Lena1, Smaldone, Arlene2, Davidson, Patricia G3
Source: Journal of the American Medical Informatics Association; Oct2018, Vol. 25 Issue 10, p1366-1374, 9p, 1 Color Photograph, 1 Diagram, 3 Charts, 1 Graph
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 132389149
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A visual analytics approach for pattern-recognition in patient-generated data.
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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>; Oct2018, Vol. 25 Issue 10, p1366-1374, 9p, 1 Color Photograph, 1 Diagram, 3 Charts, 1 Graph
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=132389149
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1093/jamia/ocy054
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      – Code: eng
        Text: English
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        PageCount: 9
        StartPage: 1366
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      – TitleFull: A visual analytics approach for pattern-recognition in patient-generated data.
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            NameFull: Feller, Daniel J
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            NameFull: Levine, Matthew E
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            NameFull: Mamykina, Lena
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            NameFull: Smaldone, Arlene
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            – D: 01
              M: 10
              Text: Oct2018
              Type: published
              Y: 2018
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