Exploratory Research on Association Rules about Electronic Medical Records of TCM Liver Disease
Abstract: Objective: To investigate the application of the association rule and decision tree classification of data mining technology on diagnosis of TCM liver diseases. Method: To collate and screen the data about hospitalization medical records of TCM liver disease, and use Weka to carry on the data mining analysis, which mainly uses Apriori algorithm in association rules and C4.5 algorithm in decision tree classification. Result: Ten rules were found and the decision tree of the common TCM liver disease was generated. The relationship between lab examination information and TCM dialectical treatment has been given. Conclusion: The results obtained from the data mining are generally consistent with the results from the doctors. This method can be used in disease diagnosis based on the electronic medical record, which has certain practical value.
文章引用: 解 丹 , 王斯琪 , 汪玉薇 (2015) 中医肝病电子病历病证关联分析探索性研究。 软件工程与应用， 4， 96-100. doi: 10.12677/SEA.2015.45013
 余世峰, 刘凤斌, 罗仕娟 (2010) 中医肝病临床疗效评价量表理论结构模型构建的探讨. 中药新药与临床药理, 4, 449-450.
 王融冰 (2015) 肝病的中医药治疗. 临床肝胆病杂志, 1, 2-6.
 郑文娟, 王会青, 陈俊杰 (2013) 基于Weka平台的FCM算法的研究与实现. 计算机应用与软件, 10, 41-44.
 郭淑红 (2010) 基于Apriori算法的股票分析仿真系统. 计算机仿真, 6, 334-337.
 杨霖, 洪菲, 杨华元 (2014) 针刺手法数据挖掘的关联规则与分类. 上海针灸杂志, 11, 1066.
 陈志泊 (2009) 数据仓库与数据挖掘. 清华大学出版社, 北京, 116.