CAJ | 학술논문

目的：应用数据挖掘技术，研究韩明向教授治疗咳嗽病的临床用药规律。方法：通过应用数据挖掘手段，对韩明向教授门诊94例诊断为咳嗽的病例的证候分布及选方用药进行研究，统计上主要采用频数分布分析。结果：风寒袭肺证、痰湿蕴肺证和痰热郁肺证三种证候所占的人数居前三位；紫菀、款冬花、百部、苦杏仁、陈皮这五味药独自出现的频率和药物配对出现的频率都是最高的。结论：挖掘分析结果符合韩明向教授辨证论治咳嗽病的学术思想和临证经验。
목적：응용수거알굴기술，연구한명향교수치료해수병적림상용약규률。방법：통과응용수거알굴수단，대한명향교수문진94례진단위해수적병례적증후분포급선방용약진행연구，통계상주요채용빈수분포분석。결과：풍한습폐증、담습온폐증화담열욱폐증삼충증후소점적인수거전삼위；자완、관동화、백부、고행인、진피저오미약독자출현적빈솔화약물배대출현적빈솔도시최고적。결론：알굴분석결과부합한명향교수변증론치해수병적학술사상화림증경험。
Objective:Through the data mining technology ,researching Professor Han Mingxiang how to use herbs to treat cough. Meth-ods:Applying the data mining methods to research Professor Han Mingxiang 94 cases diagnosed of cough syndrome distribution and e-lection herbs laws , the frequency distribution is main statistical analysis .Results:The number of cold attack the lungs , Phlegm reten-tion in the lung and heat phlegm retention in the lung share the top three;Ziwan、Kuan donghuan、Baibu、Ku xingren and Chenpi which appear alone and frequency of herbs pairs are the highest. Conclusion:The results meet the academic thought and clinical experience of Han Mingxiang .