Title :
A new method to find the most suitable syndrome healed by commonly paired herbs based on association rule
Author :
Gong, Jun ; Dong, Junlong ; Tang, Jiafu ; Zhang, Lin ; Liang, Maoxin
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
The purpose of this paper is to find the most suitable syndrome healed by commonly paired herbs in Chinese compound formula. A new method based on Chinese medicine literature and association rule technique is proposed, which solves the disadvantage of the minimum support degree in many studies. The results are validated by the theory of traditional Chinese medicine. The results illustrate that the new method is effective and suitable to be used generally.
Keywords :
data mining; medical computing; Chinese compound formula; Chinese medicine literature; association rule technique; commonly paired herbs; association rule; data mining; paired herbs; prescription compatibility;
Conference_Titel :
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6582-8
DOI :
10.1109/ICICISYS.2010.5658837
