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基于国医大师医案数据发掘肝郁证候的诊治规律 被引量:2

Rules of Diagnosis and Treatment of Liver Stagnation Syndrome Based on Medical Case Data Mining of Masters of TCM
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摘要 目的:基于国医大师诊治肝郁证候的医案,发掘肝郁证候的诊治规律。方法:检索1999年12月至2020年11月收录于检索国家知识基础设施数据库(CNKI)的国医大师肝郁证候医案,运用频次统计、关联规则、聚类分析等方法进行数据挖掘。结果:分析40位国医大师共258则医案,肝郁证候主要表现为失眠、烦躁、食少、疲乏、月经异常等,常兼夹脾虚、血瘀、湿热、痰湿等证候,遣方用药多以柴胡疏肝散、四逆散、逍遥丸、温胆汤等为基础方,根据兼夹证候具体化裁。结论:国医大师针对肝郁证候治疗的用药平实,重在辨治与精准用药,其理论与诊治经验值得临床应用与推广。 Objective:To explore the rules of diagnosis and treatment of liver depression syndrome based on the medical cases of TCM masters.Methods:The medical cases of liver depression syndrome of traditional Chinese medicine masters collected in CNKI from December,1999 to November,2020 were retrieved,and the data mining methods such as frequency statistics,association rules and cluster analysis were used.Results:A total of 258 medical cases of 40 Chinese medical master were analyzed.The syndrome of liver depression was mainly characterized by insomnia,irritability,poor appetite,fatigue,abnormal menstruation,etc.And it was often combined with spleen deficiency,blood stasis,damp-heat,phlegm dampness,etc.The prescription was mainly based on Chaihu Shugan powder,Sini powder,Xiaoyao pill,Wendan decoction,etc.The prescription was specified according to accompanying syndromes.Conclusion:The Traditional Chinese Medicine master′s medication for the treatment of liver depression syndrome is simple in the usage of medicinal,focusing on differentiation and precision medication,and its theory as well as diagnosis and treatment experience are worth clinical application and promotion.
作者 吴朦 唐仕欢 WU Meng;Tang Shihuan(Institute of Basic Theory for Chinese Medicine,China Academy of Chinese Medical Sciences,Beijing 100700,China;Institute of Chinese Materia Medica,China Academy of Chinese Medical Sciences,Beijing 100700,China)
出处 《世界中医药》 CAS 2021年第24期3678-3682,3689,共6页 World Chinese Medicine
基金 国家重点研发计划项目(2018YFC1704101) 山东省重点研发计划项目(2017CXGC1301)。
关键词 国医大师 肝郁 证候 诊治规律 临床医案 数据挖掘 Masters of TCM Liver stagnation Syndrome Rules of Diagnosis and Treatment Clinical medical cases Data mining
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