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

Volume

2

fYear

2012

fDate

3-5 Aug. 2012

Firstpage

782

Lastpage

785

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology in Medicine and Education (ITME), 2012 International Symposium on

Conference_Location

Hokodate, Hokkaido

Print_ISBN

978-1-4673-2109-9

Type

conf

DOI

10.1109/ITiME.2012.6291420

Filename

6291420