中医治疗月经不调方剂的聚类分析

Cluster Analysis on Chinese Medicine of Irregular Menstruation

目的基于统计学系统聚类分析方法,分析治疗月经不调的用药经验。方法收集454例月经不调患者的中药处方,采用excel表格进行方剂基本信息统计,并采用SPSS19.0软件进行数据处理,确定处方中各种药物的使用频次,并将药物进行归类,确定药物使用频次高的特征值、贡献率和综合得分。结果对筛选出的454首处方进行分析,使用频次最高的前5位药为当归、熟地、白芍、川芎、枸杞;29味中药通过聚类分析可分为4类,主成分得分及综合得分所提取的10个主成分能反映系统聚类中的分类结果。结论聚类分析可对不同证候月经不调患者的用药进行分类分析,有利于讨论药物之间的相互关系,为治疗月经不调的诊疗提供参考药物组合,对指导临床用药有重要意义。

Objective To analyze the medication experience in treating Irregular menstruation based on the fuzzy grouping analysis. Methods 454 Irregular menstruation patients’ prescriptions were collected. The information of prescription basic were statisticed with excel and processed the data by SPSS19.0, to determine the frequency of medicine and to classify the medicines. Find the eigenvalue,contribution rate and the comprehensive score of drug. Results The top 5 highest frequency medicines were danggui, shudi, baishao, chuangxiong and gouqi after analyzing the screened 454 prescriptions. 29 Chinese medicines could be clustered into 4 kinds. The extraction of 10 principal components of principal component scores and comprehensive scores can reflect the classification results of system clustering. Conclusion Fuzzy grouping analysis classifies the medicines for different syndromes of Irregular menstruation patients and would beneficial to discuss the relationship in medicine, provided the reference for medicine combination in treating different syndromes of Irregular menstruation. And had the extremely vital significance for guiding the clinical medication.