Machine learning approaches improve risk stratification for secondary cardiovascular disease prevention in multiethnic patients

Objectives Identifying high-risk patients is crucial for effective cardiovascular disease (CVD) prevention. It is not known whether electronic health record (EHR)-based machine-learning (ML) models can improve CVD risk stratification compared with a secondary prevention risk score developed from ran...

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Bibliographic Details
Main Authors: Jiang Li, Fátima Rodriguez, Andrew Ward, Ashish Sarraju, David Scheinker, Sukyung Chung
Format: Article
Language:English
Published: BMJ Publishing Group 2021-12-01
Series:Open Heart
Online Access:https://openheart.bmj.com/content/8/2/e001802.full
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