Identification of prognostic signatures in remnant gastric cancer through an interpretable risk model based on machine learning: A multicenter cohort study

The purpose of this study was to develop an individual survival prediction model based on multiple machine learning (ML) algorithms to predict survival probability for remnant gastric cancer (RGC).