Interpretable Survival Analysis for Heart Failure Risk Prediction

no code implementations • 24 Oct 2023 • Mike Van Ness, Tomas Bosschieter, Natasha Din, Andrew Ambrosy, Alexander Sandhu, Madeleine Udell

Specifically, we use an improved version of survival stacking to transform a survival analysis problem to a classification problem, ControlBurn to perform feature selection, and Explainable Boosting Machines to generate interpretable predictions.

feature selection Survival Analysis