Dynamically prognosticating patients with hepatocellular carcinoma through survival paths mapping based on time-series data

Abstract

Patients with hepatocellular carcinoma require regular follow-up. Here, using Cox-based feature selection to identify key prognostic features, the authors convert time-series follow-up data into a cascading survival map, and show that the approach improves dynamic prognosis prediction for patients.