摘要
利用数据挖掘技术可以从电子病历中提取隐含的有用信息,并挖掘出疾病诊断与治疗的规律。数据挖掘技术主要包括统计分析类和知识发现类。结合电子病历的特点,目前主要有基于关联规则的数据挖掘、基于粗糙集的数据挖掘和可视化数据挖掘等方面的研究,并已取得了初步进展。
Data mining extracts the useful and implicit information stored in the electronic medical record,analyzing the rule of diagnosis and treatment.Data mining technology mainly includes statistical analysis and knowledge discovery.Combined with the characteristics of electronic medical record,the main methods of data mining using in electronic medical record are as followings： association rule;rough set;visualization,etc,which have made some progress.
出处
《中国病案》
2012年第5期41-42,M0002,共3页
Chinese Medical Record
关键词
数据挖掘
电子病历
关联规则
粗糙集
可视化
Data mining
Electronic medical record
Association rule
Rough set
Visualization
