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An adaptable architecture for patient cohort identification from diverse data sources.

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Bibliographic Details
Title: An adaptable architecture for patient cohort identification from diverse data sources.
Authors: Bache R; Department of Primary Care and Public Health Sciences, King's College London, London, UK., Miles S, Taweel A
Source: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2013 Dec; Vol. 20 (e2), pp. e327-33. Date of Electronic Publication: 2013 Sep 24.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Validation Study
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Bache+R%22">Bache R</searchLink>; Department of Primary Care and Public Health Sciences, King's College London, London, UK.<br /><searchLink fieldCode="AU" term="%22Miles+S%22">Miles S</searchLink><br /><searchLink fieldCode="AU" term="%22Taweel+A%22">Taweel A</searchLink>
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        Value: 10.1136/amiajnl-2013-001858
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      – Code: eng
        Text: English
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        StartPage: e327
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      – TitleFull: An adaptable architecture for patient cohort identification from diverse data sources.
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            NameFull: Bache R
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            NameFull: Miles S
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            NameFull: Taweel A
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            – D: 01
              M: 12
              Text: 2013 Dec
              Type: published
              Y: 2013
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              Value: 1527-974X
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              Value: 20
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              Value: e2
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            – TitleFull: Journal of the American Medical Informatics Association : JAMIA
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