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
However, uncertainties remain regarding the performance of these models compared to standard care, their generalizability and applicability in primary care settings. Risk of bias was assessed with PROBAST tool and clinical applicability with MI-CLAIM checklist. Population Studied: Adults without a prior AFib diagnosis.
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