Title :
Analysis on Medicine Compounding for Stroke Prevention Treated by Xin´an Physicians Based on Association Rules
Author :
Gao, Luan ; Li, Feng-gang ; Wang, Jian ; Liang, Yu ; Li, Yu
Author_Institution :
Anhui Chinese Med. Coll., Chinese Med. Clinic Inst., Hefei, China
Abstract :
The purpose of this paper is to probe into the rules of medicine compounding for stroke prevention treated by Xin´an physicians by data mining. The method is in two steps. First step is to build the database of the Xin´an physical stroke prevention. Second step is to use the method of association rules contained in professional data mining software and probe into the medicine rules for stroke prevention treated by Xin´an physicians. The result is that Chenpi, Fuling, Gancao, Luxiancao, Xiqiancao, Baijili, and Shinanye which are of the seven common Chinese medical compounding prescriptions can be used for Xin´an physicians´ stroke prevention. The conclusion is that we should utilize the eliminating phlegm, calming wind and clearing the channels when Xin´an physicians treat stroke problem.
Keywords :
data mining; medical computing; medicine; Chinese medical compounding; association rules based Xin´an physician; medicine compounding analysis; physical stroke prevention; professional data mining software; stroke problem; Association rules; Diseases; Drugs; Itemsets; Medical diagnostic imaging; Xin´an physicians; association rules; compounding medicine; stroke;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2012 Fifth International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-1-4673-0470-2
DOI :
10.1109/ICICTA.2012.118