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作 者:吴颂 梁啸[3,4] 张嗣珉 张琪[6] 汤波 杨文慧[6] 李大鹏 WU Song;LIANG Xiao;ZHANG Simin;ZHANG Qi;TANG Bo;YANG Wenhui;LI Dapeng(Postdoctoral Mobile Station of Control Science and Engineering,Yanshan University,Qinhuangdao 066000,China;Qinhuangdao Hospital of Traditional Chinese Medicine,Qinhuangdao 066000,China;University of Illinois at Chicago,Chicago 60607,USA;The First Hospital of Qinhuangdao City,Qinhuangdao 066000,China;Tianjin Normal University,Tianjin 300387,China;Graduate School of Hebei North University,Zhangjiakou 075000,China;The Fourth Hospital of Qinhuangdao,Qinhuangdao 066000,China)
机构地区:[1]燕山大学控制科学与工程博士后流动站,河北秦皇岛066000 [2]秦皇岛市中医医院,河北秦皇岛066000 [3]伊利诺伊大学芝加哥分校,美国芝加哥60607 [4]秦皇岛市第一医院,河北秦皇岛066000 [5]天津师范大学,天津300387 [6]河北北方学院研究生院,河北张家口075000 [7]秦皇岛市第四医院,河北秦皇岛066000
出 处:《当代医药论丛》2023年第15期48-50,共3页
摘 要: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.
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