Interpretable Survival Analysis with Feature Selection: A Novel Machine Learning Approach

DyS, a novel glass-box machine learning model, achieves competitive discriminative performance for survival analysis while providing inherent interpretability through feature importance and feature impact plots. DyS can also perform feature selection during the model fitting process, yielding improved interpretability for datasets with many features.