摘要
基于社区公共卫生系统数据集,应用Apriori关联规则算法,对高血压患者合并冠心病和糖尿病的潜在因素进行关联规则挖掘。全面分析高血压患者合并其他慢病的关联因素,提高慢病管理质量与效率。
The paper explores the association rules of the potential factors between hypertension patients and accompanied coronary heart disease and diabetes based on the data set of the community public health system and by use of the Apriori association rule algorithm,and comprehensively analyzes the associated factors between hypertension patients and other accompanied chronic diseases,in order to improve the quality and efficiency of chronic disease management.
作者
朱碧云
王妮
黄艳群
乔伯文
李博
陈卉
ZHU Biyun;WANG Ni;HUANG Yanqun;QIAO Bowen;LI Bo;CHEN Hui(Beijing Ditan Hospital,Capital Medical University,Beijing 100015,China;School of Biomedical Engineering,Capital Medical University,Beijing 100069,China;Beijing Shijingshan District Health Information Center,Beijing 100043,China)
出处
《医学信息学杂志》
CAS
2019年第11期66-70,共5页
Journal of Medical Informatics
基金
国家自然科学基金项目“面向跨领域异构数据的患者相似性学习方法及应用”(项目编号:81671786).
关键词
高血压
糖尿病
冠心病
关联规则挖掘
社区居民健康档案
hypertension
diabetes
coronary heart disease
association rule mining
health records of community residents
作者简介
朱碧云,助理工程师,发表论文6篇;通讯作者:陈卉,教授,博士生导师
