Xuejing Zhao

A Bayesian Buckley–James–LightGBM framework for right-censored survival prediction: a methodological study using simulations and biomedical applications

Prediction with right-censored survival outcomes is challenging because incomplete event-time observation degrades estimation prediction, and uncertainty quantification. Cox proportional-hazards and parametric accelerated-failure-time (AFT) models deteriorate when covariate effec...

DyVAESurv: A VAE‐Enhanced Model for Dynamic Survival Analysis

Survival analysis plays a crucial role in discovering the relationship between covariates and event times, which is widely applied in individual risk prediction. Traditional methods often rely on static features, resulting in the difficulty of capturing time dependencies, while d...