Rules of acupoint selection for diabetic peripheral neuropathy based on data mining technology.
10.13703/j.0255-2930.2016.10.032
- Author:
Hong PAN
1
;
Hongfeng WANG
1
;
Yufeng WANG
2
;
Haipeng HUANG
1
Author Information
1. Graduate School of Changchun University of CM, Changchun 130000, Jilin Province, China.
2. The Affiliated Hospital of Changchun University of CM.
- Publication Type:Journal Article
- Keywords:
acupoint;
acupuncture-moxibustion;
data mining;
diabetic peripheral neuropathy (DPN)
- From:
Chinese Acupuncture & Moxibustion
2016;36(10):1111-1114
- CountryChina
- Language:Chinese
-
Abstract:
The rules of acupoint selection for diabetic peripheral neuropathy (DPN) based on data mining technology are analyzed. Literature regarding acupuncture for DPN published in core journals from January of 2005 to December of 2014 was retrieved in CNKI database and Wanfang database to establish a database of acupuncture prescriptions, which were included into the TCM Inheritance Platform software (Version 2.0). The data mining methods, including rule analysis, revised mutual information, etc. were applied to analyze the acupuncture prescriptions and the frequency of each acupoint was calculated. The results indicated Zusanli (ST 36), Sanyinjiao (SP 6), Quchi (LI 11), Yanglingquan (GB 34), Hegu (LI 4), Shenshu (BL 23), etc. were mostly selected in acupuncture for DPN; in addition, 19 acupoint combinations were acquired. It is concluded that acupuncture for DPN applied reinforcing methods as main rules, accompanied with promoting blood andcirculation; the acupoint selection focused onmeridians and back-points.
