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Mining 100 million notes to find homelessness and adverse childhood experiences: 2 case studies of rare and severe social determinants of health in electronic health records.

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Title: Mining 100 million notes to find homelessness and adverse childhood experiences: 2 case studies of rare and severe social determinants of health in electronic health records.
Authors: Bejan CA; Department of Biomedical Informatics., Angiolillo J; Department of Medicine., Conway D; Institute for Clinical and Translational Research., Nash R; Department of Medicine., Shirey-Rice JK; Institute for Clinical and Translational Research., Lipworth L; Department of Medicine., Cronin RM; Department of Biomedical Informatics.; Department of Medicine.; Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA., Pulley J; Department of Medicine., Kripalani S; Department of Medicine., Barkin S; Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA., Johnson KB; Department of Biomedical Informatics.; Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA., Denny JC; Department of Biomedical Informatics.; Department of Medicine.
Source: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2018 Jan 01; Vol. 25 (1), pp. 61-71.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print 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: Mining 100 million notes to find homelessness and adverse childhood experiences: 2 case studies of rare and severe social determinants of health in electronic health records.
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  Data: <searchLink fieldCode="AU" term="%22Bejan+CA%22">Bejan CA</searchLink>; Department of Biomedical Informatics.<br /><searchLink fieldCode="AU" term="%22Angiolillo+J%22">Angiolillo J</searchLink>; Department of Medicine.<br /><searchLink fieldCode="AU" term="%22Conway+D%22">Conway D</searchLink>; Institute for Clinical and Translational Research.<br /><searchLink fieldCode="AU" term="%22Nash+R%22">Nash R</searchLink>; Department of Medicine.<br /><searchLink fieldCode="AU" term="%22Shirey-Rice+JK%22">Shirey-Rice JK</searchLink>; Institute for Clinical and Translational Research.<br /><searchLink fieldCode="AU" term="%22Lipworth+L%22">Lipworth L</searchLink>; Department of Medicine.<br /><searchLink fieldCode="AU" term="%22Cronin+RM%22">Cronin RM</searchLink>; Department of Biomedical Informatics.; Department of Medicine.; Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA.<br /><searchLink fieldCode="AU" term="%22Pulley+J%22">Pulley J</searchLink>; Department of Medicine.<br /><searchLink fieldCode="AU" term="%22Kripalani+S%22">Kripalani S</searchLink>; Department of Medicine.<br /><searchLink fieldCode="AU" term="%22Barkin+S%22">Barkin S</searchLink>; Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA.<br /><searchLink fieldCode="AU" term="%22Johnson+KB%22">Johnson KB</searchLink>; Department of Biomedical Informatics.; Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA.<br /><searchLink fieldCode="AU" term="%22Denny+JC%22">Denny JC</searchLink>; Department of Biomedical Informatics.; Department of Medicine.
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  Data: <searchLink fieldCode="JN" term="%229430800%22">Journal of the American Medical Informatics Association : JAMIA</searchLink> [J Am Med Inform Assoc] 2018 Jan 01; Vol. 25 (1), pp. 61-71.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9430800 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1527-974X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210675027%22">10675027 </searchLink><i>NLM ISO Abbreviation: </i>J Am Med Inform Assoc <i>Subsets: </i>MEDLINE
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        Value: 10.1093/jamia/ocx059
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        Text: English
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        StartPage: 61
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      – TitleFull: Mining 100 million notes to find homelessness and adverse childhood experiences: 2 case studies of rare and severe social determinants of health in electronic health records.
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              Text: 2018 Jan 01
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