Deep Learning-Based Discrete Calibrated Survival Prediction. (arXiv:2208.08182v1 [cs.LG])

Deep neural networks for survival prediction outper-form classical approaches
in discrimination, which is the ordering of patients according to their
time-of-event. Conversely, classical approaches like the Cox Proportional
Hazards model display much better calibration, the correct temporal prediction
of events of the underlying distribution. Especially in the medical domain,
where it is critical to predict the survival of a single patient, both
discrimination and calibration are important performance metrics. Here we
present Discrete Calibrated Survival (DCS), a novel deep neural …

arxiv deep learning learning lg prediction survival