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作 者:辛昊洋 王宝娟[1] 车祥晴 姜楠[1] XIN Hao-yang;WANG Bao-juan;CHE Xiang-qing;JIANG Nan(Department of Nephropathy and Rheumatism,the Second Affiliated Hospital of Tianjin University of Traditional Chinese Medicine,Tianjin 300250,China)
机构地区:[1]天津中医药大学第二附属医院肾病风湿科,天津300250
出 处:《医学信息》2024年第9期23-29,共7页Journal of Medical Information
基 金:天津中医药大学第二附属医院“青苗计划”(编号:QMJH202115)。
摘 要:目的基于数据挖掘技术分析古文献中治疗白塞病的用药规律,为临床治疗白塞病提供组方参考。方法检索第五版《中华医典》中古文献治疗白塞病的处方,运用频次分析、关联规则分析、拓扑数据分析、聚类分析等统计方法对高频中药、功效分类、性味归经、有毒无毒等进行系统分析。结果共纳入有效处方77首,挖掘出高频中药41味,频次居前5位的分别为黄连、甘草、百合、大枣、生姜;功效分类以清热药、利水渗湿药为主;性味主要以寒温、甘苦为主;归经以心、肝、脾经为主;药物毒性以无毒为主,关联规则分析收集到强关联规则33条,核心中药18味,聚类组合6个,汇总出历代医家治疗白塞病的关键组方为:黄连、甘草、生姜、大枣、黄芩、当归、升麻、桂枝、柴胡、半夏、犀角、木香、人参、羚羊角、槟榔、木通、桃仁、赤芍。结论利用数据挖掘技术可初步揭示历代医家治疗白塞病的组方规律及学术思想,即针对白塞病“湿、热、毒、瘀、虚”的病机特点,运用“清热解毒、补气祛湿、凉血活血”的治疗方法,标本兼顾,疗效显著。Objective To analyze the medication rules of Behcet's disease in ancient literature based on data mining technology,and to provide reference for clinical treatment of Behcet's disease.Methods The prescriptions for the treatment of Behcet's disease in the fifth edition of Chinese Medical Classics were retrieved.Frequency analysis,association rule analysis,topological data analysis,cluster analysis and other statistical methods were used to systematically analyze the high-frequency traditional Chinese medicine,efficacy classification,taste and meridian tropism,toxicity and non-toxicity.Results A total of 77 effective prescriptions were included in this study,41 high-frequency herbs were excavated.The top five in frequency were coptis chinensis,licorice,lily,jujube and ginger.Efficacy classification was mainly based on heat-clearing medicine and diuretic dampness medicine.The nature and flavor were mainly cold,warm,sweet and bitter;the main meridians were the heart,liver,and spleen;the toxicity of drugs was mainly non-toxic,and the association rule analysis collected 33 strong association rules,18 core Chinese medicines,and 6 cluster combinations.The key prescriptions for treating Behcet’s disease by physicians in the past dynasties were summarized as:coptis chinensis,licorice,ginger,jujube,skullcap,angelica,cohosh,cassia twig,Bupleurum,Pinellia,rhino horn,woody,ginseng,antelope horn,betel nut,mutong,peach kernel,red peony.Conclusion The use of data mining technology can preliminarily reveal the prescription rules and academic thoughts of physicians in the past dynasties in treating Behcet's disease.Aiming at the pathogenesis characteristics of Behcet's disease"dampness,heat,poison,blood stasis,and deficiency",the treatment method of"clearing heat and detoxifying,invigorating qi and removing dampness,cooling blood and promoting blood circulation"is used,both inside and outside are taken into consideration,and the treatment effect is remarkable.
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