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Patients with atrial fibrillation (AF) usually have a heterogeneous co‐morbid history, with dynamic changes in risk factors impacting on multiple adverse outcomes. We investigated a large prospective cohort of patients… Click to show full abstract
Patients with atrial fibrillation (AF) usually have a heterogeneous co‐morbid history, with dynamic changes in risk factors impacting on multiple adverse outcomes. We investigated a large prospective cohort of patients with multimorbidity, using a machine‐learning approach, accounting for the dynamic nature of comorbidity risks and incident AF.
Keywords:
atrial fibrillation;
machine learning;
learning approach;
non cardiovascular;
cardiovascular non
Journal Title: Journal of Arrhythmia
Year Published: 2021
Link to full text (if available)
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Journal Title: Journal of Arrhythmia
Year Published: 2021
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!