DocumentCode :
1785082
Title :
Study of acupuncture therapy on hypertension based on text ming
Author :
Yanqin Bian ; Hongmei Zhou ; Jinrui Guo ; Yahong Wang ; Guang Zheng ; Hongtao Guo ; Yong Tan ; Xiaoxia Ren ; Rongfen Dong ; Jinrong Zhang ; Zhaoli Cui ; Aiping Lu ; Miao Jiang ; Yaoxian Wang
Author_Institution :
Inst. of Basic Res. in Clinical Med., China Acad. of Chinese Med. Sci., Beijing, China
fYear :
2014
fDate :
2-5 Nov. 2014
Firstpage :
1
Lastpage :
4
Abstract :
Hypertension becomes a major public health problem due to its serious morbidity and mortality and serious cardiovascular, cerebrovascular and kidney complications. The complementary therapies of Traditional Chinese Medicine (TCM) play important roles in hypertension treatment. Acupuncture, as an important component in TCM, is frequently used in treatment hypertension. In this paper, we mined the data set of literature downloaded from SinoMed on hypertension focused on its treatment with acupuncture technology in TCM common use. The text mining results showed that Shuigou, Zhongshu, Burong, Zusanli, and Taichong were the top 5 acupoints, while Governor Meridian, Bladder Meridian of Foot-Taiyang and Stomach Meridian of Foot-Yangming were the top 3 meridian used for hypertension treatment. The combinations of acupoints were demonstrated in network, which were widely used in the clinical practices of acupuncture. The results provided good references for both clinical practice and medical research.
Keywords :
data mining; medical disorders; patient treatment; Bladder Meridian of Foot-Taiyang; Burong acupoint; Governor Meridian; Shuigou acupoint; SinoMed; Stomach Meridian of Foot-Yangming; Taichong acupoint; Traditional Chinese Medicine; Zhongshu acupoint; Zusanli acupoint; acupuncture therapy; cardiovascular complications; cerebrovascular complications; hypertension; kidney complications; morbidity; mortality; public health problem; text ming; Blood pressure; Diseases; Educational institutions; Heart; Hypertension; Medical treatment; Text mining; acupuncture; hypertension; text mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
Conference_Location :
Belfast
Type :
conf
DOI :
10.1109/BIBM.2014.6999295
Filename :
6999295
Link To Document :
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