成都中医药大学学报2017，Vol.40Issue(1)：104-108,5.DOI:10.13593/j.cnki.51-1501/r.2017.01.104
基于数据挖掘技术分析针灸治疗女性生殖系统疾病用穴规律
Based on Data Mining Method for Exploring Law of Acupoint Selection in Acupuncture Treatment for Female Reproductive System Diseases
摘要
Abstract
Objective:To summarize and analyze of the law of acupoints selection for female reproductive system diseases treatment with acupuncture via the modern statistical and data mining method.Methods:The clinical literature of female reproductive system diseases treated by acupuncutre in recent 10 years is collected from China National Knowledge Infrastructure (CNKI).The excel software is employed to establish the acupuncture point database.Spass 17.0 and Clementine 12.0 is used to analyse the frequency of the data,the association rule analysis and clustering analysis.Results:Included in the analysis of 186 articles involved acupoints in 165,which mainly belonged to ren meridian (21.61％) and bladder meridian (18.32％).The Sanyinjiao point has the highest frequency in the selected points,followed by Guanyuan point and Zusanli point.The analysis of association rules shows the most relevant of points is Sanyinjiao-Taichong-Guanyuan.Clustering analysis results show that there are 4 core acupuncture point groups and syndrome differentiation in acupuncture points,and the key points.Conclusion:Pure acupuncture in the treatment of diseases of the female reproductive system is given priority to the acupuncture points on the ren meridian and sbladder meridian,and preferred to choose Sanyinjiao,Guanyuan,Zusanli,Taichong and Qihai in prescription compatibility.关键词
针灸疗法/女性生殖系统疾病/用穴规律/数据挖掘Key words
Acupuncture treatment/Female reproductive system diseases/Rules of acupoint selection/Data mining分类
医药卫生引用本文复制引用
孙鑫,卢圣锋,陈霞,于美玲..基于数据挖掘技术分析针灸治疗女性生殖系统疾病用穴规律[J].成都中医药大学学报,2017,40(1):104-108,5.基金项目
国家自然科学基金(81303019) （81303019）
南京中医药大学第二批学术传承项目 （）
