Machine Learning Predicting Atrial Fibrillation as an Adverse Event in the Warfarin and Aspirin in Reduced Cardiac Ejection Fraction (WARCEF) Trial.

Journal: The American journal of medicine
PMID: 37611780

Abstract

BACKGROUND: Atrial fibrillation and heart failure commonly coexist due to shared pathophysiological mechanisms. Prompt identification of patients with heart failure at risk of developing atrial fibrillation would allow clinicians the opportunity to implement appropriate monitoring strategy and timely treatment, reducing the impact of atrial fibrillation on patients' health.

Authors

  • Ying Gue
    Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, United Kingdom; The Department of Cardiovascular and Metabolic Medicine, University of Liverpool, United Kingdom.
  • Elon Correa
    Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, United Kingdom; School of Computer Science and Mathematics, Liverpool John Moores University, United Kingdom.
  • John L P Thompson
    Columbia University Medical Center, New York, NY.
  • Shunichi Homma
    Department of Medicine, Columbia University, New York, NY, USA.
  • Min Qian
    Columbia University Medical Center, New York, NY.
  • Gregory Y H Lip
    Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, L69 3BX Liverpool, UK.

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