The development of black-box survival models has created a need for methods that explain
their outputs, just as in the case of traditional machine learning methods. Survival models …

The Cox Proportional Hazards (CPH) model has long been the preferred survival model for
its explainability. However, to increase its predictive power beyond its linear log-risk, it was …

Survival Analysis is a major sub-field of statistics that studies the time to an event, like a
patient's death or a machine's failure. This makes survival analysis crucial in critical …

Abstract: Survival analysis is an essential statistics and machine learning field in various
critical applications like medical research and predictive maintenance. In these domains …