基于数据挖掘的支气管哮喘针刺组方选穴规律研究

目的:通过运用数据挖掘技术,探讨哮喘针刺选穴规律及核心配伍.方法:通过检索中国知网、万方数据库、维普数据库、中国生物医学文献数据库及PubMed数据库中1980年1月至2018年11月针刺治疗支气管哮喘的文献,利用Excel建立数据库,应用SPSS statistics、SPSS modeler软件对其进行频次分析、系...

Study on Reguliraty of Acu-Points Selection and Formulation in Treating Bronchial Asthma Based on Data Mining

Objective:To analyze the regularity of acu-points selection and formulation in treating bronchial asthma by using data mining technology. Methods:The literature on acupuncture treatment of bronchial asthma was searched in the China Knowledge Resource Integrated Database,Wanfang Database,VIP Journal Integration Platform,China Biology Medicine disc and PubMed Database from January 1980 to November 2018. A database was established by using Excel software. SPSS statistics and SPSS modeler software were used for the analysis of frequency,system clustering and association rule. Results:A total of 126 papers were included,involving 76 acu-points. The acupoint used with the highest frequency was Feishu(BL 13),followed by Dazhui(DU 14),Dingchuan(EX-B1),Shenshu(BL 23) and Zusanli(ST 36). The meridians involved with high frequency were bladder meridian,conception vessel and lung meridian,stomach meridian and governor vessel. The specific acu-points involved are the confluence points of eight extraordinary meridians,back transport point,alarm point,eight meeting points,and lower sea point. Through cluster analysis,clusters were obtained,and based on the association rules,the clusters with the high supportive degree were as follows:Chize(LU 5)-Taixi(KI 3)-Yuji(LU 10)-Gaohuang(BL 43),Kongzui(LU 6)-Qihai(RN 6)-Zhongfu(LU 1)-Geshu-(BL 17)-Neiguan(PC 6),Lieque(LU 7)-Quchi(LI 11)-Feishu(BL 13)-Zhongfu(LU 1). Conclusion:Through data mining technique,the regularity of acu-points selection and formulation in treating bronchial asthma could be summarized from different aspects,to provide an important reference for the clinical and experimental research.