Author(s)

Yadong Lu, Zimai Dong, June Huang

Corresponding Author

Yadong Lu

ABSTRACT

This paper analyzes the health condition of China based on the data query and mining method. The ARIMA time series model is established and solved, and it was found that the aging population in China increased in the next three years, and the growth rate was still not decreased. The GM (1,1) gray model was solved, and it was found that the per capita disposable income of residents increased, but the per capita consumption in the proportion of available expenditure decreased. The incidence of male, female, and overall diseases in Beijing in the next three years was predicted by using the function fitting method.

KEYWORDS

ARIMA Time Series Model, Function Fitting, GM (1, 1) gray model