Pioneering Arterial Hypertension Phenotyping on Nationally Aggregated Electronic Health Records

Background: Hypertension is frequently studied in epidemiological studies that have been conducted using retrospective observational data, either as an outcome or a variable. However, there are few validation studies investigating the accuracy of hypertension phenotyping algorithms in aggregated ele...

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Auteurs principaux:	Jing Wei Neo, Qihuang Xie, Pei San Ang, Hui Xing Tan, Belinda Foo, Yen Ling Koon, Amelia Ng, Siew Har Tan, Desmond Teo, Mun Yee Tham, Aaron Yap, Nicholas Ng, Celine Wei Ping Loke, Li Fung Peck, Huilin Huang, Sreemanee Raaj Dorajoo
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2024-03-01
Collection:	Pharmacoepidemiology
Sujets:	hypertension misclassification bias clinical phenotyping electronic health record rule-based algorithm
Accès en ligne:	https://www.mdpi.com/2813-0618/3/1/10
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