Reverse Survival Model (RSM): A Pipeline for Explaining Predictions of Deep Survival Models. (arXiv:2210.15674v1 [cs.LG])

The aim of survival analysis in healthcare is to estimate the probability of
occurrence of an event, such as a patient's death in an intensive care unit
(ICU). Recent developments in deep neural networks (DNNs) for survival analysis
show the superiority of these models in comparison with other well-known models
in survival analysis applications. Ensuring the reliability and explainability
of deep survival models deployed in healthcare is a necessity. Since DNN models
often behave like a black box, their predictions …

arxiv pipeline predictions survival