Identification of Incident Uterine Fibroids Using Electronic Medical Record Data.

Yu, Onchee; Reed, Susan D; Schulze-Rath, Renate; Grafton, Jane; Hansen, Kelly; Scholes, Delia

Yu, Onchee; Reed, Susan D; Schulze-Rath, Renate; Grafton, Jane; Hansen, Kelly; Scholes, Delia.

Afiliación

Yu O; Kaiser Permanente Washington, US.
Reed SD; University of Washington, US.
Schulze-Rath R; Bayer Pharma AG, DE.
Grafton J; Kaiser Permanente Washington, US.
Hansen K; Kaiser Permanente Washington, US.
Scholes D; Kaiser Permanente Washington, US.

EGEMS (Wash DC) ; 7(1): 5, 2019 Mar 29.

Article en En | MEDLINE | ID: mdl-30972354

Palabras clave

algorithms; classification and regression tree; diagnosis codes; electronic health records; positive predictive value; uterine fibroids; uterine leiomyomata

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: EGEMS (Wash DC) Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

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