Abstract 12739: Evaluation of Quantitative Decision-Making for Rhythm-Management of Atrial Fibrillation Using Tabular Q-Learning

• Published in: Circulation (New York, N.Y.) Vol. 146; no. Suppl_1; p. A12739
• Main Authors: Barrett, Christopher, Suzuki, Yuto, Hussein, Sundous, CERBIN, LUKASZ, Sabzwari, Syed Rafay Ali, Garg, Lohit, Tumolo, Alexis, Sandhu, Amneet, West, John, Zipse, Matthew, Aleong, Ryan G, Varosy, Paul D, Banaei-Kashani, Farnoush, Tzou, Wendy, Rosenberg, Michael
• Format: Journal Article
• Language: English
• Published: Lippincott Williams & Wilkins 08.11.2022

IntroductionRhythm-management is among the most complex decisions for patients diagnosed with atrial fibrillation (AF). While clinical trials have identified subsets of patients who might have a benefit from a given rhythm-management strategy, for individual patients it is not always clear which str...