摘要
目的通过数据挖掘技术分析唐兴荣教授于2019年临床诊治咳嗽的辨证及用药规律。方法收集唐兴荣教授2019年临证辨治的357条咳嗽医案处方信息,通过数据清洗,使用描述性分析、聚类分析与关联规则等,对患者的证型分布、用药规律、证型与用药的关联、药物之间的关联进行统计分析。结果该部分处方信息中提示外感咳嗽占大部分比例,结合季节气候,解表散寒、宣肺止咳为重要的治疗原则。通过关联规则分析,获得关联性最强的17味药物,主要是以小青龙汤、三拗汤为基础方进行加减。通过聚类分析,获取3条常用处方,分别为小青龙汤加减、二陈汤的加减和甘草、苦杏仁、苏子的组方。结论针对咳嗽患者,唐教授按时按地制宜,分清外感内伤,以解表散寒、宣肺止咳、健脾化痰等为法拟方,标本兼顾,取得良好疗效。结合唐教授经验分析,数据挖掘方法对于总结名老中医经验,具有可行性和可信性,值得推广。
Objective To analyze and summarize professor TANG Xingrong’s diagnosis and treatment of cough through data mining technology.Methods The medical records of 357 patients with cough diagnosed and treated by professor TANG Xingrong in 2019 were collected and cleaned.Descriptive analysis,cluster analysis,and association rules were used to analyze the distribution of patients’syndromes,medication rules,associations between syndrome and medications,and associations between Chinese medicine.Results This part of the prescription information suggests that exogenous cough occupies most of the diagnosis syndromes.Referring to seasonal climate,relieving exterior syndrome and dispersing cold,and dispersing lung and relieving cough are important treatment principles.Through the analysis of association rules,the 17 drugs with the strongest correlation were obtained,mainly based on the addition and subtraction of Xiaoqinglong Decoction(小青龙汤)and Sanao Decoction(三拗汤).Through cluster analysis,three commonly used prescriptions were obtained:the addition and subtraction of Xiaoqinglong Decoction,Erchen Decoction(二陈汤)and the combination of Gancao(Glycyrrhizae Radix Et Rhizoma),Kuxingren(Armeniacae Semen Amarum)and Suzi(Perillae Fructus).Conclusion For patients with cough,professor TANG made timely and appropriate measures,distinguished external pathogens and internal injuries,and used the methods of relieving exterior syndrome and dispersing cold,dispersing lung and relieving cough,invigorating spleen to dissipate phlegm etc.,and achieved good effects.The data mining method is feasible and credible for summing up the experience of famous traditional Chinese medicine,and it is worth popularizing.
作者
李筱颖
唐兴荣
LI Xiaoying;TANG Xingrong(Jiangmen Wuyi Hospital of Chinese Medicine,Jiangmen 529031,Guangdong,China)
出处
《辽宁中医药大学学报》
CAS
2021年第7期81-84,共4页
Journal of Liaoning University of Traditional Chinese Medicine
基金
广东省中医药局面上科研项目(20191367)
关键词
数据挖掘
咳嗽
关联规则
聚类分析
data mining
cough
association rules
clustering analysis
