Abstract

In known studies it has been shown that the prevalence of Alzheimer's disease is related to factors such as heredity, aluminum intake, lifestyle, and gender, but there are still many factors that have not been considered and studied. Therefore, this study focused on the effect of other factors on the prevalence of Alzheimer's disease. The study used multiple linear regression models to process the data from the Alzheimer's Disease Prediction System, an online web-based system that publishes test data from 373 individuals, and visual graphs to analyze the independent variables. The study concluded that Alzheimer's disease was not significantly associated with age, but was significantly associated with gender, years of education, and socioeconomic status, and positively associated with the latter two. However, there was a significant relationship with gender, level of education and socioeconomic status, and a positive relationship with the latter two. These factors such as years of education and socioeconomic status have not appeared in previous studies, so this study provides a new perspective on Alzheimer's disease medical research and a new direction for predicting the disease.

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