Machine learning models for mitral valve replacement: A comparative analysis with the Society of Thoracic Surgeons risk score

Abstract

The proposed risk models complement existing STS models in predicting mortality, prolonged ventilation, and renal failure, allowing healthcare providers to more accurately assess a patient's risk of morbidity and mortality when undergoing MVS.