利用治未病理论和数据挖掘技术对Ⅱ型糖尿病进行风险预测及健康管理的效果研究

Study on the effect of risk prediction and health management of type 2 di abetes mellitus by using the theory of curing disease and data mining technology

目的:探讨利用治未病理论和数据挖掘技术对Ⅱ型糖尿病进行风险预测及健康管理的效果。方法:本研究基于秦皇岛市第一医院糖尿病患者的测量数据和治未病体检中心的数据,利用数据挖掘技术进行决策学习和规则提取,建造分类树;通过相关因素关联分析、Apriori计算等方法建立预测模型;最后根据贝叶斯网络算法进行健康状况管理服务,利用治未病理论为患者提供糖尿病的个体化预警以及防范建议服务。观察患者的预测治疗率。结果:在数据挖掘的基础上利用治未病理论对患者进行风险预测及健康管理后,其预测治疗率较好。结论:利用治未病理论和数据挖掘技术对Ⅱ型糖尿病进行风险预测及健康管理的效果较好。

Objective:To explore the effect of risk prediction and health management of type 2 diabetes mellitus by using the theory of treating disease and data mining technology.Methods:Based on the measurement data of patients with diabetes in Qinhuangdao First Hospital and the data of medical check-up center,the study used data mining technology to carry out decision learning and rule extraction and construct classification tree;The prediction model was established by correlation analysis and Apriori calculation.Finally,according to Bayes network algorithm,health status management services are carried out,and personalized early warning and prevention suggestions are provided for patients with diabetes by using the theory of treating no disease.The predicted treatment rate of the patients was observed.Results:On the basis of data mining,the risk prediction and health management of patients with pathological theory of treatment were carried out,and the predicted treatment rate was better.Conclusion:The risk prediction and health management of type 2 diabetes mellitus are effective by using the theory of treating disease and data mining technology.