首页|基于Apriori算法与因子分析探讨帕金森病的中医药用药规律

基于Apriori算法与因子分析探讨帕金森病的中医药用药规律

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目的:运用复杂网络分析中医药治疗帕金森病用药的相互关系。方法:收集中医药方剂治疗帕金森病的相关文献,建立中药数据库,采用 SPSS软件进行复杂网络分析探讨各药物相互关系。结果:中医药治疗帕金森病高频用药排名居前 6 位为白芍、熟地黄、当归、甘草、钩藤、天麻,并对其进行聚类分析及因子分析,得出 7类组方和 11 类公因子。运用关联规则分析得出中药用药以白芍-熟地黄核心药对进行加减。结论:中医药治疗帕金森病常以滋阴养血为主要原则,平肝息风、化痰散结、开窍醒神等为常用治疗方法,其核心药对为白芍-熟地黄。
Medication Rules of TCM for Parkinson's Disease Based on Apriori Algorithm and Factor Analysis
Objective:To analyze the medicntion rule of traditional Chinese medicine(TCM)for the treatment of Parkinson's disease.Methods:The literature on the treatment of Parkinson's disease by TCM prescription was collected to esfa blish the TCM database,and the relationship between the drugs was discussed by SPSS software through complex network analysis.Results:The top 5 high-frequency drugs were radix paeoniae alba,prepared rehmannia root,Angelica sinensis,liquorice,uncaria,gastrodia elata.The cluster analysis and factor analysis were carried out,and 7 types of prescriptions and 11 types of common factors were obtained.Association rule analysis showed that radix paeoniae alba and prepared rehmannia root were the core drug pairs.Conclusion:The main principle of TCM for treatment of Parkinson's disease is nourishing Yin and nourishing blood,and the common treatment methods are calming liver and calming wind,resolving phlegm and dispersing nodules,inducing resuscitation.The core drug pair is radix paeoniae alba and prepared rehmannia root.

Parkinson's diseasetremor palsyclustering analysiscorrelation analysiscomplex networksmedication rule

刘煜、李鸣、杨琼、杨春娣

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湖北省中医院(武汉 430061)

湖北中医药大学

帕金森病 震颤麻痹 聚类分析 关联分析 复杂网络 用药规律

湖北省自然科学基金重点项目

2015CFA089

2024

中西医结合心脑血管病杂志
中国中西医结合学会 山西医科大学第一医院

中西医结合心脑血管病杂志

CSTPCD
影响因子:1.463
ISSN:1672-1349
年,卷(期):2024.22(3)
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