The purpose of the present study was to address this paucity of information through the use of using machine learning algorithms to identify six genes—FUNDC1, MAP1LC3A, CSNK2A1, VDAC1, CSNK2B, and ATG5—out of 27 MRGs, to construct a prediction model for AD. Here, MAP1LC3A is linked to Alzheimer disease.