This article aims to use machine learning methods to construct a radiomics model based on 18F-FDG PET/CT images to predict the EGFR mutation status in lung adenocarcinoma patients and evaluate the added value of clinical parameters in improving the predictive performance of the radiomics model. Here, EGFR is linked to lung adenocarcinoma.