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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| 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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