Machine Learning-Based Prediction of Long-Term Mortality in Patients with Implantable Cardioverter Defibrillators
The RSF survival model enables individualized, time-resolved prediction of all-cause mortality risk in ICD and CRT-D patients, supporting risk stratification and future evaluation of clinical utility, while requiring cautious interpretation of longer-term predictions due to limited numbers at risk.