W. Alatebi

A Hybrid Statistical Deep Learning Framework for Breast Cancer Survival Prediction Using Covariate Transformation and Simulated Gene Expression Data

The results suggest that combining transformed clinical data with synthetic genomic data yields a powerful, interpretable, and uncertainty-aware prediction tool for breast cancer survival, with promising potential for precision oncology applications.