Machine learning models for atrial fibrillation detection in primary care using electronic health records: systematic review [Cardiovascular disease]
Annals of Family Medicine
NOVEMBER 20, 2024
Machine learning (ML) models offer potential for improved detection of AFib from electronic health records (EHR). We searched seven databases from inception to May 2023. Population Studied: Adults without a prior AFib diagnosis. Study Design and Analysis: This systematic review followed PRISMA guidelines.
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