摘要
目的研究中医医案中妇科处方的用药规律。方法选取《名医临证金鉴》妇科卷中治疗妇科的121张处方,利用频数分析研究药物及药物性味归经属性的使用占比,结合回归分析和聚类分析研究不同处方之间的相似性。结果妇科处方中使用频数在前三位为白芍、茯苓、白术;共76.1%药物使用频数占比不超过10%;线性回归分析结果显示药物去重前各药物属性频数与去重后频数之间具有显著线性相关性(P<0.001);聚类分析结果显示121张处方可以分为两类。结论不同处方使用的药物虽然有较大差异,但从中药药物属性角度看,不同妇科处方的组方规律具有相似性。
Objective To discover the prescription regularities of traditional Chinese medicine against gynecology diseases.Methods 121 prescriptions were selected from the Ancient and Modern Doctors Clinical Experience(Gynecology Volume).By using frequency analysis,the proportion of the nature,flavour and channel tropism of drugs was studied.The similarity between different prescriptions was also discovered by combining regression analysis and clustering analysis.Results The top three most frequently used drugs were white paeonia lactiflora,poria and atractylodes.76.1%of drug use accounted for less than 10%in these prescriptions.The results of linear regression showed that there was a significant linear correlation between the frequency of the attribute of the drugs before deduplication and the frequency after deduplication(P<0.001).Cluster analysis revealed that 121 prescriptions could be divided into two categories.Conclusion Although the drugs in the 136 prescriptions were different,the formulas of these prescriptions were similar from the perspective of the properties of drugs.
作者
曾聃
刘琼
Zeng Dan;Liu Qiong(School of Information Engineering,Hubei University of Chinese Medicine,Wuhan 430065,China;Clinical School of Traditional Chinese Medicine,Hubei University of Chinese Medicine,Wuhan 430065,China)
出处
《实用妇科内分泌电子杂志》
2021年第28期4-7,共4页
Electronic Journal of Practical Gynecological Endocrinology
基金
湖北省教育厅科学技术研究项目(编号B2019102)。
关键词
妇科
中医医案
回归分析
聚类分析
Gynecology
TCM medical records
Regression analysis
Cluster analysis
