SurvDiff is an end-to-end diffusion model that jointly generates covariates, event times, and right-censoring indicators for survival data, guided by a Cox-based survival loss.
A general machine learning framework for survival analysis
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis
SurvDiff is an end-to-end diffusion model that jointly generates covariates, event times, and right-censoring indicators for survival data, guided by a Cox-based survival loss.