摘要
该文针对电子病历系统的用户体验度不高的问题,首先用模板和文本特征化的方法对电子病历中的事务数据实现结构化;再基于增量关联规则挖掘算法对产生的结构数据进行关联规则挖掘,找出模板中各个元素的关联以及对应元素取值之间的关联,最后根据挖掘结果来指导用户的输入,从而有效提高了电子病历系统的用户体验度。
The user experience （EX） of current Electronic Medical Record systems （EMR） is needed to improve. This paper proposed a new method to enhance EX of EMR. Firstly, system template and text characterization are used to make the EMR data structured. Then, the structured date are mined based on mining the association rules of incremental updating data to find the association of the elements of template of EMR and the values of elements. Finally, with the help of mined results, the users of EMR are able to input data effectively and quickly.
出处
《中国医疗器械杂志》
2009年第2期83-86,149,共5页
Chinese Journal of Medical Instrumentation
基金
安微省2007年度重点科研计划项目(0702030077)
关键词
电子病历
增量关联规则
数据挖掘
用户体验度
EMR, association rules of incremental updating data, data mining, user experience
