Revisiting the dynamic risk profile of cardiovascular/non‐cardiovascular multimorbidity in incident atrial fibrillation patients and five cardiovascular/non‐cardiovascular outcomes: A machine‐learning approach

Abstract Background 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, accou...

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Bibliographic Details
Main Authors:	Gregory Y. H. Lip, George Tran, Ash Genaidy, Patricia Marroquin, Cara Estes
Format:	Article
Language:	English
Published:	Wiley 2021-08-01
Series:	Journal of Arrhythmia
Subjects:	atrial fibrillation cognitive impairment congestive heart failure machine learning major bleeding myocardial infarction
Online Access:	https://doi.org/10.1002/joa3.12555

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