基于灰色预测和ARIMA模型的疾病分析与预测

Disease Analysis and Prediction based on Grey Prediction and ARIMA Model

针对颈椎病影响因素分析与预测问题,使用了灰色预测、自回归积分滑动平均(ARIMA)分析方法,分别建立了灰色预测模型、自回归平均模型(ARIAM模型),综合运用了SPSS、MATLAB软件编程预测出我国颈椎病的变化趋势。

In view of the influence factors analysis and forecast problems of cervical spondylosis, the grey forecasting, autoregressive integrating moving average （ARIMA） analysis method were used, the grey prediction model, the average autoregressive model （ARIAM model） were respectively established, SPSS MATI.AB software was used to predict the trend of cervical spondylosis in our country.