Title :
Discovery the relationship in properties of traditional chinese medicine based on data mining
Author :
Wang, Zhe ; Miao, Mingsan
Author_Institution :
Inst. of Inf. Technol., Henan Univ. of Traditional Chinese Med., Zhengzhou, China
Abstract :
Data mining provides technical support for the modernization of traditional Chinese medicine. In this paper, we focus on the need for finding the relationship between the properties of traditional Chinese medicine. We build the database which included 717 kinds of Chinese herbal medicine, and each medicine has 21 properties. With using the technology of association rule, we build the closely frequent itemsets in Function-Pharmacology, Function-Indication, Function-Western medicine name, Pharmacology-Indication, Pharmacology-Western medicine name, etc, which provide valuable information for finding the relationship between the properties of traditional Chinese medicine.
Keywords :
data mining; database management systems; medical computing; Chinese herbal medicine; association rule technology; data mining; database; frequent itemsets; function-indication medicine name; function-pharmacology medicine name; function-western medicine name; pharmacology-Western medicine name; pharmacology-indication medicine name; relationship discovery; traditional Chinese medicine property; Itemsets; Association Rule; Data Mining; Frequent Itemsets; Properties of Traditional Chinese Medicine;
Conference_Titel :
Information Technology in Medicine and Education (ITME), 2012 International Symposium on
Conference_Location :
Hokodate, Hokkaido
Print_ISBN :
978-1-4673-2109-9
DOI :
10.1109/ITiME.2012.6291420
