EGFR and neoplasm: Using machine learning to identify features that appeared in at least 10% of the iterations of the leave-one-out (LOO) loop, 5 semantic features (sex, tumor staging (N), histology, epidermal growth factor receptor (EGFR) mutation, and smoking attitude) and 6 radiomic image features were selected.