基于数据挖掘探析芍药–甘草药对临症运用规律
Study on the Application Rule of Paeonia-Licorice Drugs on Clinical Symptoms Based on Data Mining
摘要: 目的:通过收集并分析《中医方剂大辞典》中芍药–甘草药对来源分布和临症运用。方法:应用Microsoft Excel 2019构建临症方药数据库,收集方剂的年载统编、剂量分布、药对配比、性味归经、配伍中药和中医病证,并对以上进行描述性统计。基于Apriori算法,使用SPSS Modeler 18.0和Cytoscape 3.9.1对含芍药–甘草药对的方剂临症运用规律进行网络可视化展示分析。结果:收集方剂共643首,涵盖235种中药和223种病证;芍药–甘草药对常用比例1:1、2:1、3:2和3:1,分别主治优势病种为各类痛症、外科病症、痉挛性病症和胃肠道病症;临症中与芍药–甘草相伍的四个核心药组分别是当归–肉桂、人参–升麻、当归–桂枝、茯苓–白术。结论:与芍药–甘草配伍的高频中药为当归、人参、肉桂、升麻、茯苓等,该研究揭示了芍药–甘草药对的临症运用规律,有利于深度剖析经方的临症特点,并发挥其治疗优势。
Abstract:
Objective: To collect and analyze the source distribution and clinical application of peony-licorice in the dictionary of traditional Chinese medicine prescriptions. Methods: The database of clinical pre-scriptions was constructed by Microsoft Excel 2019, and the annual compilation, dose distribution, drug pair ratio, menstruation of nature and taste, compatibility of traditional Chinese medicine and TCM disease syndrome were collected, and the above descriptive statistics were carried out. Based on Apriori algorithm, SPSS Modeler 18.0 and Cytoscape 3.9.1 were used to visually display and ana-lyze the clinical application rules of prescriptions containing peony and licorice. Results: A total of 643 prescriptions were collected, covering 235 kinds of traditional Chinese medicine and 223 kinds of diseases, and the proportion of drug pairs was 1:1, 2:1, 3:2 and 3:1, respectively, and the domi-nant diseases were pain, dermatological diseases, spasmodic diseases and gastrointestinal diseases. The four main core compatibilities of clinical symptoms are Angelica-Cinnamomum, Puerar-ia-Cimicifuga, Angelica-Ginseng, Poria cocos-Atractylodes macrocephala. Conclusion: The high-frequency traditional Chinese medicines compatible with Paeonia lactiflora-licorice are Angel-ica sinensis, Ginseng, Cinnamon, cohosh, Poria cocos, etc., which reveals the law of clinical applica-tion of peony-licorice pairs, which is helpful to deeply analyze the clinical characteristics and give full play to its advantages.
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