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 :
بازگشت