DocumentCode :
3197901
Title :
The application characteristics of acupoints of acupuncture for tension-type headache: An literature research based on Data-Mining Apriori algorithm
Author :
Zhong Di ; Yayuan Yang ; Qiaohui Fu ; Xianming Lin ; Shuo Jiang
Author_Institution :
Dept. of Acupuncture & Moxibustion, Zhejiang Chinese Med. Univ., Hangzhou, China
fYear :
2013
fDate :
18-21 Dec. 2013
Firstpage :
31
Lastpage :
35
Abstract :
Objective: Through data mining technology to summarize the application characteristics of acupoints in the treatment of tension-type headache with acupuncture in modern times. Methods: CNKI, VIP, Wanfang and PubMed databases as our retrieval source were used to collect literature about acupuncture on tention-type headache, SPSS 18.0 software to establish data and IBM SPSS modeler 14.1 Data Mining Software to analysis. Then, Calculate the Support degree(S), confidence coefficient (C) and Lift(L) of acupoints itemsets to select the common acupoints as well as to summarize the law of choosing acupoints. Results: Participants included 27 qualified paper. From the point of the statistical results of association rules first, we found that the law of acupoints selection gave priority to points located in head Yang meridians, the most cited acupoints was GB20 (S 77.78%), and then the EX - HN5 (S 66.67%) and DU20 (S 51.85%). In addition, The Compatibility of three acupoints were also the most commonly. Support is 44.44%, the Confidence is 100%, the Lift is 1.5. the Gallbladder Meridian of foot-Shaoyang, the Stomach Meridian of Foot-yangming and the Governor meridian were the most common used meridian. Conclusion: According to the results of data mining, the law of choosing acupoints on tension-type headache mainly embodied in selecting acupoints located in head combined with distinguishing meridian. The results of apriori algorithm were agreed with the meridian theory of TCM and worth spreading and using in clinic.
Keywords :
data mining; information retrieval; medical computing; medical disorders; patient treatment; CNKI database; DU20; EX - HN5; Foot-yangming; GB20; Gallbladder Meridian; Governor meridian; IBM SPSS modeler 14.1 Data Mining Software; PubMed database; SPSS 18.0 software; Stomach Meridian; Support degree; TCM; VIP database; Wanfang database; acupoint compatibility; acupoints itemset lift; acupoints selection law; acupuncture; application characteristics; association rules; choosing acupoint law; common acupoint; confidence coefficient; data mining technology; data-mining apriori algorithm; foot-Shaoyang; head Yang meridians; meridian theory; retrieval source; tension-type headache treatment; tention-type headache; Association rules; Classification algorithms; Databases; Head; Pain; Stomach; acupoint; acupuncture; apriori algorithm; data mining; tension-type headach;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on
Conference_Location :
Shanghai
Type :
conf
DOI :
10.1109/BIBM.2013.6732633
Filename :
6732633
Link To Document :
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