Our study involved a comprehensive comparison of feature selection and machine learning approaches to efficiently detect EGFR and KRAS mutations in patients with lung adenocarcinoma using radiomic features extracted from CT images. The gene discussed is EGFR; the disease is lung adenocarcinoma.