基于改进apriori算法的名老中医治疗心血管病用药规律研究

《基于改进apriori算法的名老中医治疗心血管病用药规律研究》由会员上传分享，免费在线阅读，更多相关内容在学术论文-天天文库。

1、提要目的：研究名老中医治疗心血管疾病的用药规律。方法：收集名老中医丁书文教授的门诊医案1200首，全部录入中医门诊电子病历，经过数据规整之后，导入中医验方分析系统，然后采用改进的Apriori算法分别对丁教授的辨病用药规律、辨证用药规律及对症用药规律进行数据挖掘。结果：数据挖掘得到的模型，与丁教授的经验方非常相似。结论：改进的Apriori算法能够对名老中医的医案进行挖掘，有临床意义，可以使其学术经验发扬广大，为应用计算机辅助分析名老中医的学术经验提供新思路、新方法。关键词改进的Apriori算法；名老中医；心血管病；用药规律；Thestudyofthedruglawfo

2、rthetreatmentofcardiovasculardiseaseofthefamousolddoctoroftraditionalChineseMedicineBasedonimprovedApriorialgorithmSpeciality:Cardiovasculardisease,InternalMedicineofTCMAuthor:GaoChongTutor:Associateprofessor.ChenShouqiangAbstractObjective:Tostudythedruglawforthetreatmentofcardiovasculard

3、iseaseofthefamousolddoctoroftraditionalChineseMedicine.Methods:Collect1200songsofoldTCMoutpatientcasefromprofessorDingShuwen,allrecordedChinesemedicineoutpatientelectronicmedicalrecorddata,throughregular,putthemintoChinesemedicineprescriptionanalysissystem,andthenbasedtheimprovedApriorial

4、gorithmofProfessorDingofdisease,syndromedifferentiationandtreatmentadministrationrulesoflawandsymptomaticmedicationruledatamining.Results:ThedatamodelisverysimilartotheexperienceofProfessorDing.Conclusion:TheimprovedApriorialgorithmisabletonameoldtraditionalChinesemedicalnotesformining,wh

5、ichhaveclinicalsignificance,canmakeitsacademicexperiencevast,providingnewideasandnewmethodfortheapplicationofcomputeraidedanalysisofoldChinesemedicineacademicexperience.KeywordsImprovedApriorialgorithm;ThefamousolddoctoroftraditionalChineseMedicine;CoronaryHeartDisease;Thedruglaw目录引言.....

6、...............................................................................................................................1中医门诊电子病历应用指南................................................................................................2中医验方分析系统简介..........................................

7、..............................................................4Apriori算法及其改进算法.................................................................................................8临床研究......................................................................................