以小儿脾疳为例构建一种适用于中药配伍规律研究的多维复杂网络分析方法  

A Multi-Dimensional Complex Network Analysis for Chinese Medicinal Compatibility Based on Infantile Spleen Malnutrition

作　　者：马宁[1] 郝秀霞[1] 邢俊凤[1] 郭静霞[1] MA Ning;HAO Xiuxia;XING Junfeng;GUO Jingxia(Department of Computer Science and Technology,Baotou Medical College,Inner Mongolia University of Science and Technology,Baotou 014040,China)

机构地区：[1]内蒙古科技大学包头医学院计算机科学与技术学院,内蒙古包头014040

出　　处：《中医药信息》2021年第9期4-8,共5页Information on Traditional Chinese Medicine

基　　金：内蒙古自治区高等学校科学研究项目(NJZY21053);包头医学院科学研究基金项目(BYJJ-QWB 202014)。

摘　　要：目的:针对统计学、关联规则等传统中药配伍规律数据挖掘方法的计算结果缺乏深度和内在联系的问题,提出一种可有效发现中药配伍规律的多维复杂网络方法。方法:通过方剂中药物作用、性味、归经等属性关系建立多维度复杂网络模型,在此基础上围绕核心药物,采用复杂网络重叠社区发现算法结合多维度属性,进行中药配伍组合的发现与分析。结果:基于《中药方剂大辞典》中131首治疗小儿脾疳方剂建立对应模型,利用本方法得到具有代表性的药物组合20个,通过分析发现中医治疗小儿脾疳以清热降燥、消积理气、消疳杀虫药为主。结论:数据挖掘结果从中医理论和实践角度均有依据支撑,可为分析中药配伍规律研究提供一种新的方法。Objective:Regarding the lack of depth and internal connection in the calculation results of Chinese medicinal compatibility rules with statistics and association rules data mining methods,a multi-dimensional complex network method is proposed that can effectively discover Chinese medicinal compatibility rules.Methods:The multi-dimensional complex network model is established based on the attribute relationships of the herbs in the prescriptions,such as the effects,the properties,the flavors and the meridian tropism of the herbs.Around the core herb,the complex network overlapping community discovery algorithm combined with multi-dimensional attributes is used to discover and analyze the combinations of Chinese medicinal.Results:A corresponding model was established based on the 131 prescriptions for the treatment of infantile Spleen malnutrition in the Dictionary of Traditional Chinese Medicine Formula,and 20 representative herbal combinations were obtained.Through the analysis,it found that the treatments for infantile Spleen malnutrition were clearing away heat and reducing dryness,eliminating accumulation and regulating qi,as well as alleviating malnutrition and killing parasites.Conclusion:The data mining results were supported by the theory and practice of traditional Chinese medicine,which can provide a new method for analyzing the compatibility of Chinese medicinal.

关 键 词：多维复杂网络 中药配伍 君臣佐使 性味归经 小儿脾疳 

分 类 号：R272[医药卫生—中医儿科学]