The study aims to develop and validate predictive models for the mortality of patients receiving cardiovascular implantable electronic devices (CIED) [including cardiac resynchronization therapy (CRT) and implantable cardioverter defibrillator (ICD)] implantation, with traditional statistical analysis and machine learning algorithms.
The study aims to develop and validate predictive models for the mortality of patients receiving CIED (including CRT and ICD) implantation.