DocumentCode
2138258
Title
Many-to-one mapping: The principle of Chinese medicinal property theory learned from strong association rules
Author
Rui Jin ; Chun-miao Xue ; Li-li Wu ; Bing Zhang ; Qian Lin ; Sen-mao Liu
Author_Institution
Sch. of Chinese Materia Medica, Beijing Univ. of Chinese Med., Beijing, China
fYear
2013
fDate
23-25 July 2013
Firstpage
951
Lastpage
956
Abstract
Knowledge discovery in databases is believed to be a promising technique in the modernization of Traditional Chinese Medicine (TCM), especially for understanding the mysterious TCM theory. Based on the classic literature resources, this paper mined the association rules between the Chinese medicinal property (nature or flavor) and the practical efficacy by the Apriori algorithm. The results showed strong associations between a series of efficacy attributes and the specific medicinal property manifestly, which we defined as a kind of many-to-one mapping. It showed that the same property of different medicinal herbs might be inferred from distinct origins and reflected in different ways. It was believed as the inherent principle of the Chinese Medicinal Property Theory, which would help to understand the essence of the TCM medical system.
Keywords
data mining; medical computing; medicine; Apriori algorithm; Chinese medicinal property; Chinese medicinal property theory; TCM medical system; TCM theory; knowledge discovery; many-to-one mapping; medicinal herbs; strong association rules; traditional Chinese medicine; Association rules; Curing; Data models; Databases; Educational institutions; Market research; Chinese medicinal property theory; Traditional Chinese Medcine; association rules mining; knowledge discovery; many-to-one;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2013 Ninth International Conference on
Conference_Location
Shenyang
Type
conf
DOI
10.1109/ICNC.2013.6818113
Filename
6818113
Link To Document