[1]李建省,康桂兰,罗向霞,等.基于数据挖掘探析中医药治疗新型冠状病毒肺炎治疗期的证治规律[J].西部中医药,2026,39(08):98-103.[doi:10.12174/j.issn.2096-9600.2026.08.18]
　LI Jiansheng,KANG Guilan,LUOXiangxia,et al.Data Mining-based Exploration into the Syndrome and Treatment Patterns of TCM for the Treatment of COVID-19[J].Western Journal of Traditional Chinese Medicine,2026,39(08):98-103.[doi:10.12174/j.issn.2096-9600.2026.08.18]
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基于数据挖掘探析中医药治疗新型冠状病毒肺炎治疗期的证治规律()

《西部中医药》[ISSN:2096-9600/CN:62-1204/R]

卷:
39
期数:
2026年08期
页码:
98-103
栏目:
二次研究
出版日期:
2026-07-29

文章信息/Info

Title:
Data Mining-based Exploration into the Syndrome and Treatment Patterns of TCM for the Treatment of COVID-19
作者:
李建省1, 康桂兰2, 罗向霞1, 张志明1, 舒劲1, 雷作汉1, 李正军1, 郭树明1
1.甘肃省中医院，甘肃 兰州 730050
2.甘肃中医药大学，甘肃 兰州 730030
Author(s):
LI Jiansheng1, KANG Guilan2, LUOXiangxia 1, ZHANG Zhiming1, SHU Jin1, LEI Zuohan1, LI Zhengjun1, GUO Shuming1
1.Gansu Provincial Hospital of Traditional Chinese Medicine, Lanzhou 730050, China
2.Gansu University of Chinese Medicine, Lanzhou 730030, China
关键词:
新型冠状病毒肺炎; 治疗期; 中医药; 数据挖掘; 关联规则; 聚类分析
Keywords:
COVID-19; treatment period; TCM; data mining; association rule; cluster analysis
分类号:
R289
DOI:
10.12174/j.issn.2096-9600.2026.08.18
文献标志码:
A
摘要:
目的采用数据挖掘技术探析近三年国内中医药治疗新冠肺炎治疗期的证治规律。 方法检索国内外期刊文献数据库的新型冠状病毒肺炎（简称新冠肺炎）的研究文献和国家、各地发布的中医药治疗新冠肺炎的诊疗方案，借助Excel 2019、IBM SPSS Modeler 18.0、IBM SPSS Statistics 21.0软件，对2019年12月1日至2023年4月30日发表的中医药治疗新冠肺炎治疗期的相关文献、诊疗方案进行频次统计、关联规则分析和聚类分析。 结果共收集536首处方，涉及52个证型，疫毒闭肺、湿热蕴肺、寒湿阻肺、内闭外脱、湿毒闭肺为主要证型；银翘散、麻杏石甘汤、达原饮、升降散等方剂使用频次多见；高频药物有甘草、杏仁、藿香、麻黄、苍术等，以清热药、解表药、补虚药、化痰止咳平喘药、化湿药为主；中药以“杏仁-麻黄”“麻黄-石膏”“杏仁-石膏”等药对多见；聚类分析得到4首新处方。 结论新冠肺炎病机以“毒、湿、热、寒、闭、虚”为主，治法多以清热解毒、宣肺解表、补虚、化痰止咳、利湿等为主。得出的4首处方针对不同的证型，为临床上治疗新冠肺炎治疗期提供一定的参考价值。
Abstract:
ObjectiveTo explore the syndrome and treatment patterns of TCM for the treatment of COVID-19 in China over the past three years based on data mining techniques. MethodsLiterature on COVID-19 was retrieved from domestic and international journal databases, along with national and regional diagnosis and treatment guidelines for the use of TCM in treating COVID-19. Using Excel 2019, IBM SPSS Modeler 18.0, and IBM SPSS Statistics 21.0, frequency statistics, association rule analysis, and cluster analysis were conducted on relevant literature and treatment guidelines related to TCM treatment for the active phase of COVID-19 published from December 1, 2019, to April 30, 2023. ResultsA total of 536 prescriptions were collected, involving 52 syndrome types. The main syndrome types included epidemic toxin blocking the lung, damp-heat accumulating in the lung, cold-damp obstructing the lung, internal blockage with external collapse, and damp-toxin blocking the lung. High-frequency formulas included Yinqiao powder, Maxing Shigan decoction, Dayuan drink, and Shengjiang powder. High-frequency herbs included Gancao (Licorice), Xingren (Bitter Apricot Seed), Huoxiang (Patchouli), Mahuang (Ephedra), and Cangzhu (Atractylodes), primarily consisting of heat-clearing herbs, exterior-releasing herbs, deficiency-tonifying herbs, phlegm-resolving, cough-suppressing, and asthma-relieving herbs, and dampness-resolving herbs. Common herb pairs included "Xingren-Mahuang", "Mahuang-Shigao", and "Xingren-Shigao". Four new prescriptions were obtained through cluster analysis. ConclusionThe pathogenesis of COVID-19 is primarily characterized by "toxin, dampness, heat, cold, blockage, and deficiency." The main treatment principles include clearing heat and resolving toxin, ventilating the lung and releasing the exterior, tonifying deficiency, resolving phlegm and stopping cough, and promoting diuresis to eliminate dampness. The four derived prescriptions target different syndrome types and provide certain reference value for the clinical treatment of COVID-19 during its treatment phase.

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备注/Memo

备注/Memo:
国家自然科学基金地区项目（82360884）；甘肃省科技重大专项计划（22ZD1FA001）；国家中医药管理局中医药防治新型冠状病毒感染的肺炎应急研究专项（2022ZYLCYJ07-1）；国家中医药管理局青年岐黄学者支持项目（国中医药人教函〔2020〕218号）；甘肃省中医药科研项目（重点课题）（GZKZ-2022-3）。李建省（1976—），男，博士学位，博士研究生导师，主任医师。研究方向：中西医结合防治肾病。
更新日期/Last Update: 2026-08-15