Dynamic Risk Assessment for the Development of Persistent Atrial Fibrillation Using Statistical and Machine Learning Approaches
Alexei Nakonechnyi, Shaul Gelikas, Ilan Goldenberg, Dillon J. Dzikowicz et autres
BACKGROUND: Cardiac implantable electronic devices (CIEDs) frequently detect brief, often subclinical atrial fibrillation (AF), but their value for predicting progression to persistent AF remains uncertain. Statistical and machine learning (ML) approaches may enable dynamic risk stratification using this longitudinal device data. OBJECTIVE: …
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Annals of Noninvasive Electrocardiology