Method and system for predicting dynamic morbidity risk of cardiovascular complication of diabetes mellitus patient

The invention relates to a method and a system for predicting a dynamic morbidity risk of the cardiovascular complication of a diabetes mellitus patient. The method comprises the following steps of: collecting and integrating the public health data of a diabetes mellitus crowd from a plurality of health systems; constructing a Bayes multivariable combined model, and evaluating the model; and utilizing the evaluated model to predict an individual. According to the method, a purpose of preventing and stopping progression of diseases can be achieved. 本发明涉及一种预测糖尿病患者心血管并发症动态发病风险的方法及系统,包括：从多个卫生系统中收集、整合糖尿病人群的公共卫生数据；构建贝叶斯多变量联合模型并对所述模型进行评估；利用评估后的模型对个体进行预测。本发明可以达到预防并阻止病情发展的目的。