Data mining-based analysis on rules of acupoints selection in RCT literature of acupuncture treatment of Bell palsy
- VernacularTitle:基于数据挖掘技术的针灸治疗贝尔面瘫RCT文献的用穴规律分析
- Author:
Jie YANG
;
Yulan REN
;
Xi WU
;
Fanrong LIANG
- Publication Type:Journal Article
- Keywords:
Data mining;
Bell palsy;
RCT;
Acupuncture therapy
- From:
China Journal of Traditional Chinese Medicine and Pharmacy
2005;0(03):-
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the rules and characteristics of acupoints selection in acupuncture RCT literature on therapy of Bell palsy.Methods:Acupuncture Prescription Database was established through collecting RCT literature of acupuncture treatment of Bell palsy.The characteristics and rules of acupoints selection were investigated by means of data mining method.Results:After data mining-based analysis on acupuncture therapy of Bell palsy,we found that points on Yangming Meridians were frequently used,especially ST 4.Selection of local acupoints and distal points were important.Conclusion:According the means of data mining,the results revealed that acupoints selection along related meridian was the important principle for Bell palsy,and the special acupoints were the main part of prescriptions.
