中医肝病电子病历病证关联分析探索性研究.pdf

Software Engineering and Applications 软件工程与应用, 2015, 4(5), 96-100 Published Online October 2015 in Hans. /journal/sea /10.12677/sea.2015.45013 Exploratory Research on Association Rules about Electronic Medical Records of TCM Liver Disease Dan Xie, Siqi Wang, Yuwei Wang College of Information Engineering, Hubei University of Chinese Medicine, Wuhan Hubei Email: tonghua123@ th th st Received: Sept. 30 , 2015; accepted: Oct. 14 , 2015; published: Oct. 21 , 2015 Copyright © 2015 by authors and Hans Publishers Inc. This work is licensed under the Creative Commons Attribution International License (CC BY). /licenses/by/4.0/ 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 di- alectical 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 diagno- sis based on the electronic medical record, which has certain practical value. Keywords TCM Liver Disease, Electronic Medical Record, Data Mining 中医肝病电子病历病证关联分析探索性研究 解 丹，王斯琪，汪玉薇 湖北中医药大学信息工程学院，湖北 武汉 Email: tonghua123@ 收稿日期