Competing-risks random survival forests for Python. 10-22× faster than rfSRC on real EHR data, scales to n=10⁶ in ~1 min, sklearn-compatible.
Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting
Competing Risks and Survival Analysis
