Therefore, in this study, we aim to explore the machine learning model algorithm and modality combination that are suitable for the AD conversion prediction model by incorporating not only well-known features such as regional volume, HOC, WMH, Fazekas scale, and regional SUVR but also additional factors including age, sex, mini-mental state examination (MMSE), ApoE4. The gene discussed is APOE; the disease is Alzheimer disease.