New paper: "A General Machine Learnig Framework for Survival Analysis"

Our paper “A General Machine Learning Framework for Survival Analysis” has been accepted for publication in the research track at ECML PKDD 2020.

The framework is general in that it transforms many different survival tasks (e.g. left-truncation, time-varying effects, multi-state models, etc.) to “standar” Poisson regression tasks. Any algorithm and implementations thereof can therefore be used to perform different survival tasks.