Azman Nads

Survival-supervised variational autoencoders for robust clinical prognosis under missing not at random conditions

Clinical survival analysis is often affected by missing not at random (MNAR) data, where missingness is due to underlying patient health states and clinical decision-making. Existing imputation methods struggle with threshold-based clinical missingness mechanisms. We propose MNAR-SVAE, a variational autoencoder int...