Chen Wei-Hao, Lin Shu-Jun, Zhang Yi-Min, Zhang Yu-Juan, Lin Han-Yu
Department of Traditional Chinese Medicine of School of Medicine, Jinan University, Guangzhou 510632, China.
Zhen Ci Yan Jiu. 2017 Oct 25;42(5):467-70.
To determine the rules of acupoints and meridians selection for dysmenorrhea based on data mining.
The literature on acupuncture treatment of dysmenorrhea was reviewed and a database of dysmenorrhea prescriptions regarding the main points of acupuncture was established with Excel 2003 software, using the relevance rule and cluster analysis methods in data mining technology to analyze the characteristics and laws in acupuncture prescription.
One hundred and fourteen acupuncture prescriptions were included. The highest frequency of acupoint, meridian and location was San-yinjiao(SP 6), Spleen Meridian, lower limb knee and below knee, respectively. The results of relevance rule indicated that the highest confidence for acupoint combination was SP 6-Taichong(LR 3), the highest support for acupoint combination was SP 6-Guanyuan(CV 4), and the results of cluster analysis showed that there were three effective cluster groups.
The combination of SP 6-LR 3-CV 4 can be applied in the clinic to cure dysmenorrhea, and Zusanli(ST 36), Ciliao(BL 32), Zhongji(CV 3) can be matched based on syndrome differentiation.
基于数据挖掘确定痛经的选穴和经络规律。
回顾针灸治疗痛经的文献,使用Excel 2003软件建立关于痛经针灸主穴处方的数据库,采用数据挖掘技术中的关联规则和聚类分析方法分析针灸处方的特点和规律。
纳入114个针灸处方。穴位、经络及部位出现频率最高的分别是三阴交(SP 6)、脾经、下肢膝及膝以下。关联规则结果显示,穴位组合置信度最高的是SP 6-太冲(LR 3),支持度最高的是SP 6-关元(CV 4),聚类分析结果显示有3个有效聚类组。
SP 6-LR 3-CV 4组合可应用于临床治疗痛经,足三里(ST 36)、次髎(BL 32)、中极(CV 3)可根据辨证进行配伍。