A method for establishing an Alzheimer's disease stage assessment model and a computer device. The method comprises steps of: acquiring electronic medical history data regarding various symptoms of Alzheimer's disease (AD) patients (S21); performing big data analysis on each data item of the electronic medical history data regarding various symptoms, and obtaining a pathogenesis mechanism corresponding to a given symptom (S22); sequentially displaying, by means of a virtual reality device, brain neural network images related to the pathogenesis mechanism of each symptom on a display (S23); automatically acquiring, from the brain neural network images of each symptom, a brain neural region affecting the pathogenesis mechanism (S24); performing lesion tissue identification on the brain neural region of each pathogenesis mechanism, and incorporating an AD clinical staging scale to obtain AD stages (S25); and performing, according to all of the electronic medical history data of the AD patients and the stages, abstraction modeling to establish an AD stage assessment model (S26). The AD stage assessment model is established to enable comprehensive assessment of symptom-related behaviors of an AD patient, and to provide an evidentiary basis for treating the AD patient.
METHOD FOR ESTABLISHING ALZHEIMER'S DISEASE STAGE ASSESSMENT MODEL, AND COMPUTER DEVICE