Developing and Validating a Survival Prediction Model for NSCLC Patients Through Distributed Learning Across 3 Countries

摘要

PurposeTools for survival prediction for non-small cell lung cancer (NSCLC) patients treated with chemoradiation or radiation therapy are of limited quality. In this work, we developed a predictive model of survival at 2 years. The model is based on a large volume of historical patient data and serves as a proof of concept to demonstrate the distributed learning approach.