Machine learning algorithms based on proteomic data mining accurately predicting the recurrence of hepatitis B‐related hepatocellular carcinoma

Abstract

Our study identifies seven novel proteins for predicting HCC recurrence and the random forest algorithm as the most suitable predictive model for HCC recurrence.