基于数据挖掘探索梅国强教授治疗肺系疾病用药规律
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摘要
目的运用数据挖掘技术和统计学分析,探索国医大师梅国强治疗肺系疾病临证用药规律和学术思想。方法收集梅国强教授2016年1月至2017年12月在湖北中医药大学国医堂门诊部治疗肺系疾病患者的病案资料,提取纳入病案记录的症状体征、用药处方等基本信息,并对其进行规范整理,将高频(频数≥50)用药作关联分析和聚类分析。结果本研究共纳入病案251个,用药处方179个,用药总数176味。病案处方用药共涉及17类中药,其中药味最多的药物类别为清热药,共涉及27类病症,其中最多的病症类型为痰湿蕴肺型咳嗽。统计得高频用药23味,挖掘出核心处方16个,核心药组384个,高频药物关联规则43条,并将高频药物聚类为6小类。结论梅国强教授治疗肺系疾病用药具有:谨严处方、配伍灵活;组方味少量大效宏,擅用止咳化痰、清热解表类药;擅用虫类药物等特点。梅教授辨治肺系疾病体现了其重视整体观念,辨证论治;效法伤寒,辨治肺病;融寒温,理法互参的学术思想。
Objective To investigate the prescription pattern of Professor MEI Guo-qiang for the treatment of pulmonary diseases by using data mining and statistical analysis. Methods The medical records of patients with pulmonary diseases who received treatment in the Outpatient Department of Hubei University of Chinese Medicine from January 2016 to December 2017 were collected. The basic information( such as symptoms,signs,prescriptions,etc.) were extracted and processed. The association rule and cluster analysis were used in high frequency drugs( frequency ≥50). Results This study included 251 medical records,179 prescriptions and 176 medicinal drugs. There were 17 kinds of medicinal involved in the prescription,the most of which were heat-clearing drugs and they were involved in 27 kinds of diseases and the most common disease was cough with syndrome of phlegm-damp obstructing lung. There were 23 kinds of high frequency drugs were counted,and there were 16 core prescriptions,384 core drug groups and 43 association rules of high frequency drugs were excavated,and high frequency drugs were clustered into 6 sub-categories. Conclusions Professor MEI Guo-qiang' s medication for pulmonary diseases has the following characteristics: strict prescription and flexible compatibility,little amount of prescription with great effect,good at using relieve cough and reduce sputum drugs and heat-clearing and diaphoretic drugs,and good at using insect drugs. Professor Mei's academic thought of treating pulmonary diseases embodies his emphasis on holistic concept and dialectical treatment,follow the example of typhoid fever,differentiate and treat pulmonary diseases,melt cold and warm,and integrate theory with law.
Objective To investigate the prescription pattern of Professor MEI Guo-qiang for the treatment of pulmonary diseases by using data mining and statistical analysis. Methods The medical records of patients with pulmonary diseases who received treatment in the Outpatient Department of Hubei University of Chinese Medicine from January 2016 to December 2017 were collected. The basic information( such as symptoms,signs,prescriptions,etc.) were extracted and processed. The association rule and cluster analysis were used in high frequency drugs( frequency ≥50). Results This study included 251 medical records,179 prescriptions and 176 medicinal drugs. There were 17 kinds of medicinal involved in the prescription,the most of which were heat-clearing drugs and they were involved in 27 kinds of diseases and the most common disease was cough with syndrome of phlegm-damp obstructing lung. There were 23 kinds of high frequency drugs were counted,and there were 16 core prescriptions,384 core drug groups and 43 association rules of high frequency drugs were excavated,and high frequency drugs were clustered into 6 sub-categories. Conclusions Professor MEI Guo-qiang' s medication for pulmonary diseases has the following characteristics: strict prescription and flexible compatibility,little amount of prescription with great effect,good at using relieve cough and reduce sputum drugs and heat-clearing and diaphoretic drugs,and good at using insect drugs. Professor Mei's academic thought of treating pulmonary diseases embodies his emphasis on holistic concept and dialectical treatment,follow the example of typhoid fever,differentiate and treat pulmonary diseases,melt cold and warm,and integrate theory with law.
引文
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[3]钟赣生.中药学[M]. 9版.北京:中国中医药出版社,2012.
[4]史周华,何雁.中医药统计学与软件应用[M]. 9版.北京:中国中医药出版社,2015:429.
[5] Tan PN,Steinbach M,Kumar V.数据挖掘导论[M].范明,范宏建,译.北京:人民邮电出版社,2006:125.
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[7]王国平,郭伟宸,汪若君. IBM SPSS Modeler数据与文本挖掘实战[M].北京:清华大学出版社,2014:127.
[8]方壮.一种迭代有序k最邻近距离实现数字图像特征点匹配的算法[J].湖北民族学院学报(自然科学版),2013,31(1):36-37,46.
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[12]张志聪(集注).黄帝内经集注[M].北京:中医古籍出版社,2015:160,198.
[13]张仲景.伤寒论[M].钱超尘,郝万山,整理.北京:人民卫生出版社,2005.