SDPM is a diffusion probabilistic model that generates continuous survival times and censoring indicators to estimate survival functions without parametric assumptions or time discretization.
An introduction to deep survival analysis models for predicting time-to-event outcomes.Foundations and Trends®in Machine Learning, 17(6):921–1100, 2024
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SDPM: Survival Diffusion Probabilistic Model for Continuous-Time Survival Analysis
SDPM is a diffusion probabilistic model that generates continuous survival times and censoring indicators to estimate survival functions without parametric assumptions or time discretization.