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基于数据挖掘探讨古今治疫方剂组方规律OA

Exploration of the formulation rules of ancient and modern epidemic treatment prescriptions based on data mining

中文摘要英文摘要

目的 基于数据挖掘的方法探讨古今方剂中治疫方剂的组方规律,为流行性感冒的中医药治疗提供理论参考.方法 检索并整理了古今医案云平台(V 1.5)中的治疗瘟疫的方剂,建立标准化的医案数据库.随后,采用系统集成的统计分析、关联规则分析和复杂网络等方法,分析方剂的用药频次、药性及核心处方等.结果 最终纳入了230 个方剂,中药频次分析结果显示共得到高频中药 16 种,关联规则分析得到高频药对关联规则 11 条.治疫方剂的用药以燥湿、行气、化湿和活血药为主,性味多为温、辛、苦,主要归于肺、脾和胃经;宋代至清代的治疫方中,喜用陈皮、苍术、黄芩等药材,半夏-藿香、白芷-川芎、防风-羌活等药对的关联度较高.可能的基础方组合为"苍术-川芎-白芷-羌活-防风"和"藿香-苍术-厚朴-半夏".结论 本研究通过数据挖掘揭示了古今治疫方剂的组方规律,表明其核心治法以祛邪扶正为纲,注重解表化湿、宣肺健脾.宋代至清代方剂在药物配伍上形成了稳定的经验组合,为现代流行性感冒的中医药治疗提供了历史依据和组方优化思路.未来需结合临床试验进一步验证基础方的疗效机制.

Objective Based on the data mining method,this study explores the formulation rules of epidemic treatment prescriptions in ancient and modern formulas,providing theoretical references for the treatment of influenza with traditional Chinese medicine.Methods The prescriptions for treating epidemics in the Ancient and Modern Medical Case Cloud Plat-form(V 1.5)were retrieved and sorted,and a standardized medical case database was established.Subsequently,using systematic integrated statistical analysis,association rule analysis,and complex network methods,the frequency of drug use,drug properties,and core prescriptions of the prescriptions were analyzed.Results A total of 230 prescriptions were finally included.The frequency analysis of traditional Chinese medicine showed that a total of 16 high-frequency traditional Chinese medicines were obtained,and 11 high-frequency drug pairs association rules were obtained through association rule analysis.The prescriptions for treating epidemics mainly used drying dampness,promoting qi circulation,transforming dampness,and activating blood circulation drugs,and the properties were mostly warm,pungent,and bitter.They mainly belonged to the lung,spleen,and stomach meridians.In the epidemic treatment prescriptions from the Song Dynasty to the Qing Dynasty,Chinese herbal medicines such as pericarpi-um citri reticulatae,rhizoma atractylodis,and scutellaria baicalensis were frequently used,and the association de-grees of drug pairs such as pinellia ternata-agastache ru-gosa,angelica dahurica-sichuan lovage rhizome,and saposhnikovia divaricata-notopterygium root were rela-tively high.The possible basic formula combinations were"rhizoma atractylodis-sichuan lovage rhizome-angelica dahurica-notopterygium root-saposhnikovia divaricata"and"a-gastache rugosa-rhizoma atractylodis-magnolia officinalis-pinellia ternata".Conclusion This study reveals the formula-tion rules of epidemic treatment prescriptions in ancient and modern formulas through data mining,indicating that the core treatment methods are mainly to eliminate pathogenic factors and support the body,and focus on dispelling exterior symptoms,transforming dampness,and invigorating the lungs and spleen.The prescriptions from the Song Dynasty to the Qing Dynasty formed stable empirical combinations in drug compatibility,providing historical basis and formulation optimization ideas for the treatment of modern influenza with traditional Chinese medicine.In the future,it is necessary to further verify the efficacy mechanism of the basic formulas through clinical trials.

彭欧阳;李印怀;谭钊琦;莫嘉浩;张忠德;黄前

广州中医药大学第二临床医学院,广东 广州 510006广东省中医院芳村分院经典科,广东 广州 510120广州中医药大学第二临床医学院,广东 广州 510006广州中医药大学第二临床医学院,广东 广州 510006广州中医药大学第二附属医院,广东 广州 510120南宁市中医医院急诊科,广西 南宁 530000

医药卫生

流行性感冒治疫方剂组方规律数据挖掘

InfluenzaEpidemic treatment prescriptionsFormulation ruleData mining

《中国当代医药》 2026 (4)

21-27,7

国家中医药管理局岐黄学者支持项目(国中医药人教函[2022]6号)广东省中医药局中医药特色人才培养项目(20212083)广东省中医院中医学术流派传承工作室建设项目(E43643603).

10.3969/j.issn.1674-4721.2026.04.04

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