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Using electronic health record data to identify incident uterine fibroids and endometriosis within a large, urban academic medical center: a validation study.

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Bibliographic Details
Title: Using electronic health record data to identify incident uterine fibroids and endometriosis within a large, urban academic medical center: a validation study.
Authors: Charifson M; Department of Population Health, New York University Grossman School of Medicine, New York, NY 10016, United States., Beaton-Mata G; Department of Obstetrics and Gynecology, New York University Langone Health, New York, NY 10016, United States., Lipschultz R; New York University Grossman School of Medicine, New York, NY 10016, United States., Robinson I; New York University Grossman School of Medicine, New York, NY 10016, United States., Sasse SA; Department of Obstetrics and Gynecology, New York University Langone Health, New York, NY 10016, United States.; Department of Obstetrics and Gynecology, Stanford Medicine, Palo Alto, CA 94305, United States., Hur HC; Department of Obstetrics and Gynecology, New York University Langone Health, New York, NY 10016, United States., Lee SS; Department of Obstetrics and Gynecology, New York University Langone Health, New York, NY 10016, United States., Hade EM; Department of Population Health, New York University Grossman School of Medicine, New York, NY 10016, United States., Kahn LG; Department of Population Health, New York University Grossman School of Medicine, New York, NY 10016, United States.; Department of Pediatrics, New York University Grossman School of Medicine, New York, NY 10016, United States.
Source: American journal of epidemiology [Am J Epidemiol] 2026 Feb 05; Vol. 195 (2), pp. 291-299.
Publication Type: Journal Article; Validation Study; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Oxford University Press Country of Publication: United States NLM ID: 7910653 Publication Model: Print Cited Medium: Internet ISSN: 1476-6256 (Electronic) Linking ISSN: 00029262 NLM ISO Abbreviation: Am J Epidemiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1476-6256
DOI:10.1093/aje/kwaf058