Title :
Rules of acupoint selection in acupoint application therapy on coronary heart disease: A text mining study
Author :
Dongmei Jia ; Guang Zheng ; Jing Yang ; Hongtao Guo ; Zekun Ning ; Mengmeng Song ; Xiaojuan He ; Cheng Lu ; Yong Tan ; Ning Zhao ; Jingan Bai ; Shanshan Shen ; Yaoxian Wang ; Aiping Lu ; Miao Jiang
Author_Institution :
Inst. of Basic Res. in Clinical Med., Beijing, China
Abstract :
Acupoint application therapy is one of the Traditional Chinese medicine (TCM) external therapies, which has been used for coronary heart disease (CHD) treatment for a long time. The prescription of acupoint application therapy includes both Chinese herbal medicines (CHMs) and acupoints. This study aims to reveal the basic rules of acupoint selection in acupoint application therapy on CHD treatment by text mining study. Results showed that on CHD treatment, the most frequently used acupoint was Danzhong (RN17), followed by Xinshu (BL15), Neiguan (PC6), Zusanli (ST36) and Zhiyang (DU9). Acupoints closing to the heart or with specific functions were more frequently used. Moreover, Xinshu, Danzhong and Neiguan were of the top 3 relationships with other acupoints, while Zusanli and Sanyinjiao (SP6) were in the lower grade. The combination of Xinshu-Danzhong-Neiguan could be regard as the basic acupoint prescription of acupoint application therapy on CHD.
Keywords :
bioinformatics; cardiology; data mining; diseases; patient treatment; text analysis; CHD treatment; Danzhong RN17; Neiguan PC6; Xinshu BL15; Zhiyang DU9; Zusanli ST36; acupoint application therapy; acupoint selection rules; coronary heart disease treatment; text mining study; traditional Chinese medicine external therapies; Blood; Diseases; Educational institutions; Heart; Medical treatment; Text mining; acupoint; acupoint application therapy; coronary heart disease; text mining;
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
Conference_Location :
Belfast
DOI :
10.1109/BIBM.2014.6999321
