DocumentCode
553152
Title
Applying discrete derivative algorithm in two dimensions in mining acupuncture and moxibustion rules on Bell´s palsy
Author
Zhongxian Li ; Guang Zheng ; Hongtao Guo ; Jinsheng Yang ; Aiping Lu
Author_Institution
Network Center, Lanzhou Univ., Lanzhou, China
Volume
3
fYear
2011
fDate
26-28 July 2011
Firstpage
1570
Lastpage
1574
Abstract
Acupuncture and moxibustion are important components in traditional Chinese medicine. It is efficient in dealing with some diseases, esp. Bell´s palsy. In this paper, we mined the data set of literature downloaded from SinoMed on Bell´s palsy by executing the data slicing algorithm. For the first time, we calculated them in two dimensions. On one-dimension, we calculated the frequencies of acupuncture points existed in literature. On two-dimension, we calculated the networks of acupoint pairs co-existed in literature. By examining the mining results, we found the sets of acupuncture points in clinical practices. By examining these results, not only regular acupoints in the textbook of acupuncturology are mined out, but also some other acupoints widely used in the clinical practises of acupuncture.
Keywords
data mining; diseases; medical computing; Bell´s Palsy; acupoint pairs; acupuncture rule mining; acupuncturology; clinical practices; data slicing algorithm; discrete derivative algorithm; diseases; moxibustion rule mining; traditional Chinese medicine; Algorithm design and analysis; Data mining; Diseases; Encyclopedias; Intestines; Materials; Presses; Bell´s palsy; acupuncture; data mining; discrete derivative;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-61284-180-9
Type
conf
DOI
10.1109/FSKD.2011.6019782
Filename
6019782
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