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Real-World Matching Performance of Deidentified Record-Linking Tokens.

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Title: Real-World Matching Performance of Deidentified Record-Linking Tokens.
Authors: Bernstam EV; School of Biomedical Informatics, The University of Texas Health Science Center, Houston, Texas, United States.; Division of General Internal Medicine, Department of Internal Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas, United States., Applegate RJ; School of Biomedical Informatics, The University of Texas Health Science Center, Houston, Texas, United States., Yu A; Datavant, Inc., San Francisco, California, United States., Chaudhari D; School of Biomedical Informatics, The University of Texas Health Science Center, Houston, Texas, United States., Liu T; Datavant, Inc., San Francisco, California, United States., Coda A; Datavant, Inc., San Francisco, California, United States., Leshin J; Datavant, Inc., San Francisco, California, United States.
Source: Applied clinical informatics [Appl Clin Inform] 2022 Aug; Vol. 13 (4), pp. 865-873. Date of Electronic Publication: 2022 Jul 27.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural
Journal Info: Publisher: Thieme Country of Publication: Germany NLM ID: 101537732 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1869-0327 (Electronic) Linking ISSN: 18690327 NLM ISO Abbreviation: Appl Clin Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: Real-World Matching Performance of Deidentified Record-Linking Tokens.
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  Data: <searchLink fieldCode="AU" term="%22Bernstam+EV%22">Bernstam EV</searchLink>; School of Biomedical Informatics, The University of Texas Health Science Center, Houston, Texas, United States.; Division of General Internal Medicine, Department of Internal Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas, United States.<br /><searchLink fieldCode="AU" term="%22Applegate+RJ%22">Applegate RJ</searchLink>; School of Biomedical Informatics, The University of Texas Health Science Center, Houston, Texas, United States.<br /><searchLink fieldCode="AU" term="%22Yu+A%22">Yu A</searchLink>; Datavant, Inc., San Francisco, California, United States.<br /><searchLink fieldCode="AU" term="%22Chaudhari+D%22">Chaudhari D</searchLink>; School of Biomedical Informatics, The University of Texas Health Science Center, Houston, Texas, United States.<br /><searchLink fieldCode="AU" term="%22Liu+T%22">Liu T</searchLink>; Datavant, Inc., San Francisco, California, United States.<br /><searchLink fieldCode="AU" term="%22Coda+A%22">Coda A</searchLink>; Datavant, Inc., San Francisco, California, United States.<br /><searchLink fieldCode="AU" term="%22Leshin+J%22">Leshin J</searchLink>; Datavant, Inc., San Francisco, California, United States.
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  Data: <searchLink fieldCode="JN" term="%22101537732%22">Applied clinical informatics</searchLink> [Appl Clin Inform] 2022 Aug; Vol. 13 (4), pp. 865-873. <i>Date of Electronic Publication: </i>2022 Jul 27.
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        Value: 10.1055/a-1910-4154
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      – Code: eng
        Text: English
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              Text: 2022 Aug
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              Y: 2022
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