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). Population Studied: Adults without a prior AFib diagnosis. Context: Atrial fibrillation (AFib) significantly impacts patient morbidity and mortality, despite existing screening practices.
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