The results showed that the Ultrasomics model of RF classifier performed well in predicting EGFR expression in HCC patients, with AUC of 0.929 (95%CI, 0.874–0.966) and 0.807 (95%CI, 0.684–0.897) (Figure 4B), sensitivity of 0.843 and 0.767, specificity of 0.857 and 0.800, and accuracy of 0.850 and 0.783 in the training and test dataset, respectively. This evidence concerns the gene EGFR and hepatocellular carcinoma.