基于数据挖掘技术分析韩振蕴教授治疗抑郁症的临床用药规律

目的基于R软件多种数据挖掘技术分析韩振蕴教授治疗抑郁症的临床用药规律。方法基于R软件对韩振蕴教授治疗抑郁症的临床用药进行基本分析、Pearson相关系数的相关分析、Apriori算法相关度分析、层次聚类、K均值(K-means)聚类、围绕中心点的划分(PAM)聚类分析等。结果相关分析表明,韩振蕴教授临床用药时,高频用药的药物组合中,以疏肝健脾理气类药物的药物组合为主;中高频的药物组合中,以疏肝健脾理气类和补肾填精类药物为主。聚类分析表明,韩振蕴教授临床用药主要可以分为疏肝行气健脾、活血通络、补肾滋阴3类药物。结论韩振蕴教授治疗抑郁症时临床用药主要以疏肝行气健脾、活血通络、补肾滋阴的药物为主,辨证施治予以治疗。

The Rule of Clinical Herbal Medicines Employed by Professor Han Zhenyun in the Treatment of Depression Based on Data Mining Techniques

Objective Data mining method was used to analyze the rule of clinical herbal medicines employed by professor han Zhenyun in the treatment of depression.Methods Basic analysis,Pearson correlation coefficient analysis,Apriori algorithm correlation analysis,hierarchical clustering analysis,K-means clustering analysis,and PAM clustering analysis were performed to analyze the rule of clinical herbal medicines employed by professor Han Zhenyun in the treatment of depression on the basis of R software.Results The correlation analysis showed that,on the drugs-combination of high-frequency medication,the dominant medicines were liver-soothing,spleen-invigorating,and qi-regulating drugs;as well on the drugs-combination of medium and high frequency drugs,the main medicines were liver-soothing,spleen-invigorating,qi-regulating,and kidney-invigorating drugs.Cluster analysis showed that,clinical medicines used by Han Zhenyun could be mainly divided into 3 kinds:liver-soothing,spleen-invigorating,and qi-regulating drugs;promoting blood circulation to remove meridian obstruction drugs;nourishing yin and reinforcing kidney drugs.Conclusion The clinical medicines employed by professor Han Zhenyun in the treatment of depression can be mainly divided into 3 kinds:liver-soothing,spleen-invigorating,and qi-regulating drugs;promoting blood circulation to remove meridian obstruction drugs;nourishing yin and reinforcing kidney drugs,which are mainly used for treatments based on syndrome differentiation.