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1、ARTMED-935;NoofPages14ArtificialIntelligenceinMedicine(2007)xxx,xxx—xxxhttp://www.intl.elsevierhealth.com/journals/aiimAmethodologyfortheautomatedcreationoffuzzyexpertsystemsforischaemicandarrhythmicbeatclassificationbasedonasetofrulesobtainedbyadecisiontreea,
2、baaThemisP.Exarchos,MarkosG.Tsipouras,CostasP.Exarchos,CostasPapaloukasa,c,DimitriosI.Fotiadisa,d,e,*,LamprosK.Michalise,faUnitofMedicalTechnologyandIntelligentInformationSystems,DepartmentofComputerScience,UniversityofIoannina,GR45110Ioannina,GreecebDepartm
3、entofMedicalPhysics,MedicalSchool,UniversityofIoannina,GR45110Ioannina,GreececDepartmentofBiologicalApplicationsandTechnology,UniversityofIoannina,GR45110Ioannina,GreecedBiomedicalResearchInstitute-FORTH,GR45110Ioannina,GreeceeMichaelideionCardiologyCentre,G
4、R45110Ioannina,GreecefDepartmentofCardiology,MedicalSchool,UniversityofIoannina,GR45110Ioannina,GreeceReceived6October2006;receivedinrevisedform19February2007;accepted5April2007KEYWORDSSummaryFuzzyexpertsystem;Datamining;Objective:Inthecurrentworkweproposeam
5、ethodologyfortheautomatedcreationOptimization;offuzzyexpertsystems,appliedinischaemicandarrhythmicbeatclassification.Ischaemia;Methods:TheproposedmethodologyautomaticallycreatesafuzzyexpertsystemArrhythmiafromaninitialtrainingdataset.Theapproachconsistsofthre
6、estages:(a)extractionofacrispsetofrulesfromadecisiontreeinducedfromthetrainingdataset,(b)transformationofthecrispsetofrulesintoafuzzymodeland(c)optimizationofthefuzzymodel’sparametersusingglobaloptimization.Material:Theabovemethodologyisemployedinordertocrea
7、tefuzzyexpertsystemsforischaemicandarrhythmicbeatclassificationinECGrecordings.ThefuzzyexpertsystemforischaemicbeatdetectionisevaluatedinacardiacbeatdatasetthatwasconstructedusingrecordingsfromtheEuropeanSocietyofCardiol-ogyST-Tdatabase.Thearrhythmicbeatclass
8、ificationfuzzyexpertsystemiseval-uatedusingtheMIT-BIHarrhythmiadatabase.*Correspondingauthorat:UnitofMedicalTechnologyandIntelligentInformationSystems,DepartmentofComputerScience,UniversityofIoan