Accurately identifying incident cases of venous thromboembolism in the electronic health record: Performance of a novel phenotyping algorithm-Reference-Cited by-同舟云学术

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Accurately identifying incident cases of venous thromboembolism in the electronic health record: Performance of a novel phenotyping algorithm

Published:2024-09 Issue: Volume: Page:109143
ISSN:0049-3848
Container-title:Thrombosis Research
language:en
Short-container-title:Thrombosis Research

Author:

Syrowatka Ania,Pullman Avery,Pajares Elizabeth,White Kyra,Sainlaire Michael,Chen Jin,Chang Frank,Gray Krissy,Laurentiev John,Song Wenyu,Thai Tien,Zhou Li,Lipsitz Stuart R.,Bates David W.,Samal Lipika,Dykes Patricia C.

Funder

Gordon and Betty Moore Foundation

Publisher

Elsevier BV

Reference14 articles.

1. Overview of venous thromboembolism;Phillippe;Am. J. Manag. Care,2017

2. Validity of using inpatient and outpatient administrative codes to identify acute venous thromboembolism: the CVRN VTE study;Fang;Med. Care,2017

3. Administrative codes inaccurately identify recurrent venous thromboembolism: the CVRN VTE study;Baumgartner;Thromb. Res.,2020

4. Identifying venous thromboembolism and major bleeding in emergency room discharges using administrative data;Al-Ani;Thromb. Res.,2015

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