Synergies between Case-based Reasoning and Deep Learning for Survival Analysis in Oncology

Abstract

Survival analysis is routinely used in medicine to stratify patients in groups based on risk and has paramount importance in patient stratification and treatment. This work combines bidirectional Long Short-Term Memory LSTM and case-based reasoning to provide accurate and interpretable survival predictions that perform better than state-of-the-art survival analysis methods.