基于数据挖掘的中医治疗疟疾用药规律分析

郭文龙; 姜惠娟; 李彦荣; 杨金龙

doi:10.24920/004214

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基于数据挖掘的中医治疗疟疾用药规律分析

中国医学科学杂志（英文版） 2023年38卷第3期页码：218-227

论著 | Updated：2024-11-26

- 基于数据挖掘的中医治疗疟疾用药规律分析
- Affiliations：
  
  1. 1Science Teaching Department, Gansu University of Chinese Medicine, Dingxi 743000, Gansu Province, China
  2. 2Medical Teaching Department, Gansu University of Chinese Medicine, Dingxi 743000, Gansu Province, China
- Author bio：
  
  * 郭文龙,E-mail: dxszgwl@163.com。
- Funds：
  
  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)
- DOI：10.24920/004214
  中图分类号：
- 收稿日期：2023-02-13，
  
  录用日期：2023-6-6，
  
  网络出版日期：2023-06-25，
  
  纸质出版日期：2023-09-30
- Accepted：
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郭文龙, 姜惠娟, 李彦荣, 等. 基于数据挖掘的中医治疗疟疾用药规律分析[J]. 中国医学科学杂志（英文版）, 2023,38(3):218-227.

Wen-Long Guo, Hui-Juan Jiang, Yan-Rong Li, et al. Analysis of Medication Rules of Traditional Chinese Medicine for Malaria Treatment Based on Data Mining[J]. Chinese medical sciences journal, 2023, 38(3): 218-227.
郭文龙, 姜惠娟, 李彦荣, 等. 基于数据挖掘的中医治疗疟疾用药规律分析[J]. 中国医学科学杂志（英文版）, 2023,38(3):218-227. DOI： 10.24920/004214.

Wen-Long Guo, Hui-Juan Jiang, Yan-Rong Li, et al. Analysis of Medication Rules of Traditional Chinese Medicine for Malaria Treatment Based on Data Mining[J]. Chinese medical sciences journal, 2023, 38(3): 218-227. DOI： 10.24920/004214.

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。

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.

关键词

Keywords

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