文章摘要
左梦雨,汤同娟,王翔,等.基于数据挖掘的张仲景治疗心系疾病用药规律分析[J].安徽医药,2022,26(6):1254-1258.
基于数据挖掘的张仲景治疗心系疾病用药规律分析
Analysis of medication rule of Zhang Zhongjing in treating heart diseases based on data mining
  
DOI:10.3969/j.issn.1009-6469.2022.06.046
中文关键词: 心血管疾病  聚类分析  数据挖掘  张仲景  伤寒论  金匮要略  心系疾病  用药规律
英文关键词: Cardiovascular diseases  Cluster analysis  Data mining  Zhang Zhongjing  Treatise on Cold Pathogenic Diseases  Synopsis of Golden Chamber  Cardiovascular disease  Medication pattern
基金项目:国家自然科学基金项目( 81973844);安徽高校自然科学研究重点项目( KJ2020A0393)
作者单位E-mail
左梦雨 安徽中医药大学中医学院安徽合肥230012  
汤同娟 安徽中医药大学中医学院安徽合肥230012  
王翔 安徽中医药大学中医学院安徽合肥230012  
谷金繁 安徽中医药大学中医学院安徽合肥230012  
黄金玲 安徽省中医药科学院中西医结合研究所安徽合肥 230012
.中药复方安徽省重点实验室安徽合肥 230012 
jinling6181@126.com 
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中文摘要:
      目的分析《伤寒论》及《金匮要略》中治疗心系疾病的方剂,探讨张仲景治疗心系疾病的用药规律。方法使用 Excel 2016将符合标准的方剂建立数据库,对药物药性、药味、药效药物分类等进行频数分析,以 IBM SPSS Modeler 18.0、IBM SPSS Statistics Version 26.0行关联度及聚类分析。结果该研究共纳入 51首方剂,涉及中药 49味,其中高频使用的药物为甘草、桂枝、生姜等;得到关联规则 20条,其中二项关联规则 3条,如“生姜、大枣”三项关联规则 14条,如“生姜、人参 +大枣”、四项关联规则 3条,如大枣 +生姜 +桂枝”聚类分析得到 9组,如“芍药”5个药对聚合组,“甘草、;其中有 4个单味药物组,“瓜蒌”等; 如网络链接关系网状图可见网络链接关系较强的有“生姜 -大枣”“半夏 +黄芩”“茯苓 +白术”等;“桂枝 -甘草”等;高频药对中使用频率最高的药对为“桂枝 -甘草”。结论张仲景治疗心系疾病多注重温通心阳、调理气机、健脾补中、调和营卫。
英文摘要:
      Objective Based on the analysis of formulas for treating heart diseases in Treatise on Febrile Diseases and Synopsis ofthe Golden Chamber, this paper probes into the medication rules of Zhongjing in treating heart diseases.Methods Excel 2016 was used to establish a database for prescription conforming to the standard, and frequency analysis was conducted for drug properties, drugtaste, drug classification, etc. And correlation degree and cluster analysis was performed with IBM SPSS Modeler 18.0 and IBM SPSS Statistics Version 26.0.Results A total of 51 prescriptions were included in this study, involving 49 kinds of traditional Chinese medicine, among which the frequently used drugs were Licorice, Ramulus Cinnamomi, Ginger, etc. Twenty association rules were obtained,including 3 binomial association rules, such as "Ginger, Jujube"; 14 three association rules such as "Ginger, Ginseng + Jujube"; and 3four association rules, such as "Licorice, Jujube + Ginger + Ramulus Cinnamomi". Cluster analysis showed that there were 9 groups, including 4 single drug groups, such as "Trichosanthes kirilowii Maxim", "Peony" etc. Five drug pairs were combined, such as "Pinellia ternata+Radix Scutellariae", "Poria cocos+Atractylodes" etc. As can be seen from the network link network diagram, "Ramulus Cinnamomi-Licorice", "Ginger-Jujube" and so on have strong network link relationship, the high-frequency drug pair showed that "Ramulus Cinnamomi-Licorice" was the most frequently used drug pair.Conclusion Zhang Zhongjing's treatment of cardiovascular diseases focuses more on warming the heart, smoothing the liver and strengthening and spleen, harmonizing the body and protecting the spleenand stomach.
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