中国中药杂志

2021, v.46(06) 1558-1563

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基于数据挖掘中医药治疗阿尔茨海默病用药规律研究
Research on regularity of traditional Chinese medicine in treatment of Alzheimer′s disease based on data mining

芦锰;周雨慧;李晓宁;孙昦丹;郭金栋;武博文;武密山;
LU Meng;ZHOU Yu-hui;LI Xiao-ning;SUN Hao-dan;GUO Jin-dong;WU Bo-wen;WU Mi-shan;Hebei University of Chinese Medicine;Henan University of Traditional Chinese Medicine;

摘要(Abstract):

挖掘中医药治疗阿尔茨海默病的组方用药规律。以阿尔茨海默病或含老年性痴呆为主题,收集、整理中国知网收录的期刊文献为资料来源,建立阿尔茨海默病方剂文献研究数据库,对纳入标准的中药进行关联规则分析、因子分析和系统聚类分析。结果显示,在纳入标准的113首方剂中,单药石菖蒲最为常见,药物四气以温、平居多,五味中甘、苦、辛味为主,归经中以五脏为主,使用最多的药物类别为补虚药、活血化瘀药。关联规则分析发现关联强度最高的药对组合有6组,因子分析中提取8个公因子,系统聚类分析归为6大类。结果表明,现代中医药治疗阿尔茨海默病的整体原则为补虚开窍、活血祛痰。
To explore prescription medication regularity in the treatment of Alzheimer′s disease with traditional Chinese medicine(TCM). With Alzheimer′s disease or senile dementia as the subject, collecting and sorting out the journal papers in CNKI were collected as the data source to establish the literature research database of Alzheimer′s disease prescriptions, and then the association rule analysis, factor analysis and systematic cluster analysis on the included TCM were conducted. Among the 113 prescriptions included in the standard, the single herb Acori Tatarinowii Rhizoma was the most common. The herbs were mainly warm and flat among four pro-perties, mainly sweet, bitter and spicy among five flavors. The drugs were mainly distributed in five internal organs, and the most commonly used drugs were deficiency tonifying drugs as well as blood activating and stasis removing drugs. In the association rule analysis, it was found that there were 6 drug pairs with the highest association strength. Eight common factors were extracted from the factor analysis, and they were classified into 6 categories in the systematic cluster analysis. The results have shown that the overall principles in treating Alzheimer′s disease with modern Chinese medicine are tonifying deficiency, invigorating circulation, activating blood and dispelling phlegm.

关键词(KeyWords): 阿尔茨海默病;中药;用药规律;关联规则;因子分析;聚类分析;数据挖掘
Alzheimer′s disease;traditional Chinese medicine;medication regularity;association rules;factor analysis;cluster analysis;data mining

Abstract:

Keywords:

基金项目(Foundation): 河北省高等学校科学技术研究重点项目(ZD2019129);; 河北中医学院2019年校内科技能力提升重点项目(KTZ2019017)

作者(Author): 芦锰;周雨慧;李晓宁;孙昦丹;郭金栋;武博文;武密山;
LU Meng;ZHOU Yu-hui;LI Xiao-ning;SUN Hao-dan;GUO Jin-dong;WU Bo-wen;WU Mi-shan;Hebei University of Chinese Medicine;Henan University of Traditional Chinese Medicine;

Email:

DOI: 10.19540/j.cnki.cjcmm.20200611.502

参考文献(References):

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