An increasing trend in AF burden and low levels of insertable cardiac monitor–detected patient activity, when combined with higher levels of burden duration or quantity, result in the highest risk segments for near-term cardiovascular hospitalization.
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Using Atrial Fibrillation Burden Trends and Machine Learning to Predict Near-Term Risk of Cardiovascular Hospitalization.
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