Grey Series GM(1, 1)Model in Prediction of Cardiocerebrovascular Disease

ObjectiveTo give a comprehensive description of GM(1,1)modeling for prediction of Cardiocerebrovascular diseaes.MethodsAn example of predicting the rate of Cardiocerebrovascular disease is employed to describe the technique.ResultsThe nationwide mortality of Cardiocerebrovascular disease tends to increase year by year,among it,the mortality of cerebrovascular disease and Isechemic heart disease increase more obviously.ConclusionGM(1,1)model can be well used to the short-term prediction of Cardiocerebrovascular disease,but it is not very well in midterm or long-term prediction.