EGFR and non-small cell lung carcinoma: In this study, we proposed a comprehensive, noninvasive machine learning approach utilizing the classifier algorithms and feature selection methods to robustly predict EGFR and KRAS mutations among patients with NSCLC based on medical radiomics features.