Chinese Medical Sciences Journal ›› 2023, Vol. 38 ›› Issue (3): 218-227.doi: 10.24920/004214

• 论著 • 上一篇    下一篇

基于数据挖掘的中医治疗疟疾用药规律分析

郭文龙1,*(),姜惠娟1,李彦荣2,杨金龙1   

  1. 1甘肃中医药大学 理科教学部定西市743000,甘肃省,中国
    2甘肃中医药大学 医学教学部,定西市743000,甘肃省,中国
  • 收稿日期:2023-02-13 接受日期:2023-06-06 出版日期:2023-09-30 发布日期:2023-06-28
  • 通讯作者: * 郭文龙,E-mail: dxszgwl@163.com

Analysis of Medication Rules of Traditional Chinese Medicine for Malaria Treatment Based on Data Mining

Wen-Long Guo1,*(),Hui-Juan Jiang1,Yan-Rong Li2,Jin-Long Yang1   

  1. 1Science Teaching Department, Gansu University of Chinese Medicine, Dingxi 743000, Gansu Province, China
    2Medical Teaching Department, Gansu University of Chinese Medicine, Dingxi 743000, Gansu Province, China
  • Received:2023-02-13 Accepted:2023-06-06 Published:2023-09-30 Online:2023-06-28
  • Contact: * E-mail: dxszgwl@163.com.

摘要:

目的 挖掘中医治疗疟疾的用药规律。
方法 从中药的性、味、归经、药效等基本属性方面进行统计分析。在药物关联的基础上,构建了中药关联复杂网络。通过聚类分析得到治疗疟疾的核心药物。应用Apriori算法对核心药物的关联规则进行分析。
结果 357种草药在461首治疗疟疾的处方中共使用3,194次。在药材方面,使用频率最高的依次是甘草、黄连、柴胡、地骨皮等。在药效方面,使用频率最高的依次是补益、解表、清热、理气和化湿类药等。在药性方面,使用频率最高的依次是温、平、寒等。在药味方面,使用频率最高的是辛、苦、甘等。在归经方面,使用频率最高的依次是脾、肺、胃等。聚类分析得到甘草、半夏、柴胡、常山等核心药物61味。应用Apriori关联规则分析,得到12条二项规则(药对)和6条三项规则(药物组合),其中柴胡和黄芩是治疗疟疾的核心药对。
结论 柴胡和黄芩是治疗疟疾的核心药对,该药对与白术组合,可用于治疗温疟和寒疟;与陈皮或地黄组合,可用于治疗瘴疟;与人参、当归组合,可用于治疗劳疟;与鳖甲组合,可用于治疗疟母。

关键词: 疟疾, 数据挖掘, 复杂网络, 聚类分析, 用药规则

Abstract:

Objective To analyze the medication rules of traditional Chinese medicine (TCM) for malaria treatment.
Methods Statistical analysis was conducted on the basic attributes of TCM drugs with regard to property, therapeutic methods, flavor, and meridian tropism. A complex network of TCM drug associations was constructed. Cluster analysis was applied to obtain the core drugs for malaria treatment. The Apriori algorithm was applied to analyze the association rules of these core drugs.
Results A total of 357 herbs were used 3,194 times in 461 prescriptions for malaria treatment. Radix Glycyrrhizae (甘草), Rhizoma Pinelliae (半夏), Radix Bupleuri (柴胡), and Radix Dichroae (常山) were the frequently used herbs through supplementing, exterior-releasing, heat-clearing, qi-rectifying, and damp-resolving therapeutic methods. Such herbs had warm, natural, and cold herbal properties; pungent, bitter, and sweet flavors; and spleen, lung, and stomach meridian tropisms. Cluster analysis showed 61 core drugs, including Radix Glycyrrhizae, Rhizoma Pinelliae, Radix Bupleuri, and Radix Scutellariae (黄芩). Apriori association rule analysis yielded 12 binomial rules (herb pairs) and 6 trinomial rules (herb combinations). Radix Bupleuri plus Radix Scutellariae was the core herbal pair for treating malaria. This pair could be combined with Rhizoma Atractylodis Macrocephalae (白术) for treating warm or cold malaria, combined with Pericarpium Citri Reticulatae (陈皮) or Radix Dichroae (地黄) for treating miasmic malaria, or combined with turtle shells (鳖甲) for treating malaria with splenomegaly.
Conclusions TCM can be used to classify and treat malaria in accordance with the different stages of development. As the core herbal pair, Radix Bupleuri and Radix Scutellariae can be combined with other drugs to treat malaria with different syndrome types.

Key words: malaria, data mining, complex network, cluster analysis, medication rules

基金资助: 甘肃省高校创新能力提升项目(2023A-092);甘肃中医药大学重点项目(KCZD2018-4)

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