A new method of modeling the multi-stage decision-making process of CRT using machine learning with uncertainty quantification

Kristoffer Larsen, Chen Zhao, Joyce Keyak +7

Aims. The purpose of this study is to create a multi-stage machine learning model to predict cardiac resynchronization therapy (CRT) response for heart failure (HF) patients. This…