Variational Deep Survival Machines: Survival Regression with Censored Outcomes

arXiv:2404.15595v1 Announce Type: new
Abstract: Survival regression aims to predict the time when an event of interest will take place, typically a death or a failure. A fully parametric method [18] is proposed to estimate the survival function as a mixture of individual parametric distributions in the presence of censoring. In this paper, We present a novel method to predict the survival time by better clustering the survival data and combine primitive distributions. We propose two variants of variational auto-encoder …

arxiv cs.ce cs.lg machines regression survival type