The aim of the current study is to construct a machine learning model that can be used to non-invasively and automatically detect ALK mutation based on PET/CT images from tumor lesions of lung adenocarcinoma patients and clinical characteristics of these patients. The gene discussed is ALK; the disease is neoplasm.