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

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Bibliographic Details
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
Description
ISSN:1869-0327
DOI:10.1055/a-1910-4154