(33) used the same public data set as ours to build models predicting histological subtype and EGFR mutation status of non-small cell lung cancer on 18F-FDG PET/CT, and XGB classifier achieved better performance (AUC = 0.659) than gradient tree boosting, Bayesian optimization and RF classifiers. This evidence concerns the gene EGFR and non-small cell lung carcinoma.