Abstract: An intelligent early screening model for Alzheimer's disease and a construction method thereof are provided. The construction method includes: retrieving keywords by means of a database to obtain influence factors of the Alzheimer's disease; extracting common feature data of Alzheimer's disease patients from big data in healthcare of a sample region; combining the influence factors and the common feature data, and then inputting into a machine learning model for learning; and verifying and evaluating performance of the machine learning model. The intelligent early screening model for the Alzheimer's disease is constructed through the construction method. The intelligent early screening model can capture Alzheimer's disease high-risk elderly population in common elderly population in advance, realizing early prevention and achieving a goal of eliminating the disease and treating the disease.