DocumentCode
3198196
Title
Exploring the basic laws of acupoints of ischemie cerebrovascular disease in acupuncture treatment through text mining
Author
Miao Jiang ; Zhong-di Liu ; Jing Sun ; Hong-ming Ma ; Na Qi ; Hong-tao Guo ; Guang Zheng ; Ning Zhao ; Su-yun Wang ; Jing-rong Zhang ; Rong-fen Dong ; Ai-ping Lv ; Yao-xian Wang
Author_Institution
Dongzhimen Hosp., Beijing Univ. of Chinese Med., Beijing, China
fYear
2013
fDate
18-21 Dec. 2013
Firstpage
90
Lastpage
95
Abstract
It is well known that acupuncture treatment has an effect on patients with ischemie cerebrovascular disease. This study was aimed to summarize the basic laws of acupoints of ischemie cerebrovascular disease in acupuncture treatment using text mining techniques. First, we proposed the text-mining-based method to collect related literatures about acupuncture treatment of ischemie cerebrovascular disease from Chinese Biomedicai Literature Database, and then the ACCESS database was constructed. Second, structured query language was applied to data processing as well as data stratification algorithm was adopted to analyze the basic laws of acupoints of ischemie cerebrovascular disease in acupuncture treatment. Final, 62,903 documents were retrieved and the results showed that the higher frequency of single point in the treatment of ischemie cerebrovascular disease were sorted in descending order as the following: Renzhong(570), Burong(205), Fufen(186), Youmen(84), Shuifen(58), Baihui(57), Zusanli(55). Moreover, the higher frequency of paired points in the treatment of ischemie cerebrovascular disease were sorted in descending order as the following: Baihui with Dazhui(21), Neiguan with Zusanli(21), Quchi with Zusanli(21), Baihui with Qubin(10), Neiguan with Renzhong(9), Neiguan with Sanyinjiao(9), Neiguan with Yinjiao(9). These findings suggest that the method of text mining can be used to analyze basic acupoint laws through statistical frequency of acupuncture treatment of ischemie cerebrovascular disease and to provide a reference for clinical acupoints.
Keywords
SQL; brain; data mining; diseases; medical disorders; neurophysiology; patient treatment; ACCESS database; acupuncture treatment; clinical acupoints; data processing; data stratification algorithm; ischemic acupoint laws; ischemic cerebrovascular disease; statistical frequency; structured query language; text-mining-based method; Databases; Diseases; Educational institutions; Intestines; Stomach; Text mining; Meridians; acupoint; acupuncture; ischemie cerebrovascular disease;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on
Conference_Location
Shanghai
Type
conf
DOI
10.1109/BIBM.2013.6732645
Filename
6732645
Link To Document