DocumentCode
3107082
Title
Searching Rules of Acupuncture on Periarthritis of Shoulder by Data Slicing Algorithm
Author
Guo, Hongtao ; Zheng, Guang ; Li, Zhongxian ; Lv, Aiping
Author_Institution
Shanghai Univ. of Traditional Chinese Med., Shanghai, China
fYear
2011
fDate
16-18 Aug. 2011
Firstpage
1
Lastpage
4
Abstract
Acupuncture is an important component in traditional Chinese medicine. It is efficient in dealing with some diseases, esp. periarthritis of shoulder. In this paper, focused on periarthritis of shoulder, we mined the data set of literature with data slicing algorithm. Acupoints are calculated on two dimensions. The one-dimension calculates the frequencies of acupuncture points existed in literature. The two-dimension calculates the frequencies of acupoint pairs co-existed in literature. By examining the results, we found the sets of acupuncture points in dealing with this disease. By checking these results, not only regular acupoints in the textbook are mined out, but also some other acupoints which are widely used in the clinical practices are also found. What´s more, these acupoints might be taken as complementarities for the textbook.
Keywords
data mining; diseases; medical computing; acupuncture point frequency; acupuncture rule searching; data mining; data slicing algorithm; shoulder periarthritis; traditional Chinese medicine; Algorithm design and analysis; Data mining; Diseases; Intestines; Materials; Medical treatment; Shoulder;
fLanguage
English
Publisher
ieee
Conference_Titel
Internet Technology and Applications (iTAP), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-7253-6
Type
conf
DOI
10.1109/ITAP.2011.6006348
Filename
6006348
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