A method for predicting epidermal growth factor receptor (EGFR) mutations in lung adenocarcinoma is provided. The method utilizes a lung adenocarcinoma EGFR mutation classification model based on a deep learning model, and performs back-propagation training on the deep learning model by using whole-slide pathological images and corresponding pathological data. The trained lung adenocarcinoma EGFR mutation classification model can determine whether a to-be-classified slide-level image with lung adenocarcinoma features have EGFR mutations.