程志新, 公瑞, 张玥, 徐家祥, 匡英杰. 基于数据挖掘的臁疮古医案内治法用药规律研究[J]. 实用临床医药杂志, 2023, 27(10): 25-30. DOI: 10.7619/jcmp.20230525
引用本文: 程志新, 公瑞, 张玥, 徐家祥, 匡英杰. 基于数据挖掘的臁疮古医案内治法用药规律研究[J]. 实用临床医药杂志, 2023, 27(10): 25-30. DOI: 10.7619/jcmp.20230525
CHENG Zhixin, GONG Rui, ZHANG Yue, XU Jiaxiang, KUANG Yingjie. Study on the medication law of internal treatment of ecthyma in ancient medical records based on data mining[J]. Journal of Clinical Medicine in Practice, 2023, 27(10): 25-30. DOI: 10.7619/jcmp.20230525
Citation: CHENG Zhixin, GONG Rui, ZHANG Yue, XU Jiaxiang, KUANG Yingjie. Study on the medication law of internal treatment of ecthyma in ancient medical records based on data mining[J]. Journal of Clinical Medicine in Practice, 2023, 27(10): 25-30. DOI: 10.7619/jcmp.20230525

基于数据挖掘的臁疮古医案内治法用药规律研究

Study on the medication law of internal treatment of ecthyma in ancient medical records based on data mining

  • 摘要:
    目的 通过数据挖掘方法探讨古医案内治臁疮的用药规律。
    方法 运用古今医案云平台和《中华医典》检索中医内治臁疮的有效验案, 经规范化数据整理,利用古今医案云平台分析方剂、药物的使用频次、药物的四气五味、归经,并进行聚类分析、复杂网络分析,分析古代医家治疗臁疮的用药规律。
    结果 共筛选出108篇古医案,共157诊次,涉及方剂30首,中草药179味,使用频次最高的方剂为补中益气汤,使用频次前5位的药物为甘草、当归、白术、茯苓、柴胡。药物性味以温平、甘辛居多,主要归脾经、肺经、心经。关联分析共得9个药对组合,支持度较高的是当归-白术和白术-茯苓,聚类及复杂网络分析得到以白术、当归、甘草、柴胡、茯苓、黄芪、陈皮、人参、升麻、党参、白芍、川芎、熟地黄组成的核心处方。
    结论 古医案中治疗臁疮多以补益气血,兼以祛邪为主要治法,体现了中医学标本同治的理论思想。

     

    Abstract:
    Objective To explore the regularity of medication for ecthyma in ancient medical records by data mining.
    Methods The effective proven cases of internal treatment of ecthyma by TCM were searched by using the "Ancient and Modern Medical Record Cloud Platform" and Chinese Medical Dictionary. After standardized data collection, the prescription, frequency of drug use, four qi and five flavors of drugs were analyzed by using the Ancient and Modern Medical Record Cloud Platform, and cluster analysis and complex network were performed, and medication regularity of ancient physicians in the treatment of ecthyma was analyzed.
    Results A total of 108 ancient medical records were selected(157 consultations in total), involving 30 formulas and 179 herbs, the most frequently used formula was Buzhong Yiqi Decoction, and the top five drugs in the frequency of drug use were Gancao, Danggui, Baizhu, Fuling and Chaihu. The taste of majority of the drug was warm and sweet, and affinity of meridians was spleen meridian, lung meridian, and heart meridian. A total of 9 drug pair combinations were obtained by association analysis, with higher support of Danggui-Baizhu and Baizhu-Fuling. Cluster and complex network analysis yielded core prescriptions composed of Baizhu, Danggui, Gancao, Chaihu, Fuling, Huangqi, Chenpi, Renshen, Shengma, Dangshen, Baishao, Chuanxiong, Shudihuang.
    Conclusion In ancient medical records, the main treatment of ecthyma is mostly based on tonifying qi and blood and eliminating pathogenic factors, which reflects the theoretical idea of treating both cause and symptoms.

     

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