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基于数据挖掘探析支沟穴主治病症和配伍规律
引用本文:王镜宇,朱永政,贾红玲,贾仰理,张永臣. 基于数据挖掘探析支沟穴主治病症和配伍规律[J]. 山东中医杂志, 2021, 40(3): 227-234,259
作者姓名:王镜宇  朱永政  贾红玲  贾仰理  张永臣
作者单位:山东中医药大学,山东济南250355;山东中医药大学第二附属医院,山东济南250001;聊城大学,山东聊城252059
基金项目:国家自然科学基金面上项目(编号:81973695)。
摘    要:在系统整理支沟穴(SJ6)古今文献的基础上,利用数据挖掘技术,分析总结得出结论:主治病症方面,以内科的脾胃系、肝胆系、气血津液病症居多,1949年10月前在外科的瘰疬、耳鼻喉科的喉痦上具有独特优势,自1949年10月后对带状疱疹、肥胖症疗效突出;优势配伍腧穴方面,1949年10月前多配伍五输穴、原穴,自1949年10月...

关 键 词:支沟  腧穴  主治病症  配伍规律  数据挖掘技术

Analysis of Indications and Compatibility Regularity of Zhigou Point(SJ6)Based on Data Mining
WANG Jingyu,ZHU Yongzheng,JIA Hongling,JIA Yangli,ZHANG Yongchen. Analysis of Indications and Compatibility Regularity of Zhigou Point(SJ6)Based on Data Mining[J]. Shandong Journal of Traditional Chinese Medicine, 2021, 40(3): 227-234,259
Authors:WANG Jingyu  ZHU Yongzheng  JIA Hongling  JIA Yangli  ZHANG Yongchen
Affiliation:(Shandong University of Traditional Chinese Medicine,Jinan 250355,China;The Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine,Jinan 250001,China;Liaocheng University,Liaocheng 252059,China)
Abstract:On the basis of systematically sorting out the ancient and modern literature of Zhigou point(SJ6)by using data mining technology,it is summarized and analyzed:In terms of indications,the diseases of the spleen and stomach system,hepatobiliary system,qi,blood and body fluid in the internal medicine department are the majority.It has unique advantages in surgical scrofula and otolaryngology laryngeal scrofula before october 1949.It has achieved outstanding curative effects on herpes zoster and obesity since october 1949.In terms of superior compatibility of points,it is compatible with five transport points and yuan-primary points before october 1949.Since october 1949,the compatibility of Mu acupoints and Xiahe acupoints has been the majority,and the compatibility of Beishu acupoints has been newly added,and the compatibility of meridian points with Mu and Beishu acupoints has been strengthened.
Keywords:Zhigou point(SJ6)  acupoints  indications  compatibility regularity  data mining technology
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