Machine learning facilitates the prediction of long-term mortality in patients with tricuspid regurgitation.

Objective: Tricuspid regurgitation (TR) is a prevalent valve disease associated with significant morbidity and mortality. We aimed to apply machine learning (ML) to assess risk stratification in patients with ≥moderate TR.

Methods: Patients with ≥moderate TR on echocardiogram between January 2005 and December 2016 were retrospectively included.