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). Objective: To synthesize data on the effectiveness, generalizability, and clinical relevance of ML models in detecting AFib cases using EHR in primary care settings. We searched seven databases from inception to May 2023.
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