Publication:
An expert system based on fisher score and LS-SVM for cardiac arrhythmia diagnosis

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dc.contributor.buuauthorYılmaz, Ersen
dc.contributor.departmentMühendislik Fakültesi
dc.contributor.departmentElektrik Elektronik Mühendisliği Bölümü
dc.contributor.researcheridG-3554-2013
dc.contributor.scopusid56965095300
dc.date.accessioned2023-05-22T11:02:40Z
dc.date.available2023-05-22T11:02:40Z
dc.date.issued2013
dc.description.abstractAn expert system having two stages is proposed for cardiac arrhythmia diagnosis. In the first stage, Fisher score is used for feature selection to reduce the feature space dimension of a data set. The second stage is classification stage in which least squares support vector machines classifier is performed by using the feature subset selected in the first stage to diagnose cardiac arrhythmia. Performance of the proposed expert system is evaluated by using an arrhythmia data set which is taken from UCI machine learning repository.
dc.identifier.citationYılmaz, E. (2013). "An expert system based on fisher score and LS-SVM for cardiac arrhythmia diagnosis". Computational and Mathematical Methods in Medicine, 2013.
dc.identifier.issn1748-670X
dc.identifier.issn1748-6718
dc.identifier.pubmed23861726
dc.identifier.scopus2-s2.0-84880175539
dc.identifier.urihttps://doi.org/10.1155/2013/849674
dc.identifier.urihttps://www.hindawi.com/journals/cmmm/2013/849674/
dc.identifier.urihttp://hdl.handle.net/11452/32732
dc.identifier.volume2013
dc.identifier.wos000321464200001
dc.indexed.wosSCIE
dc.language.isoen
dc.publisherHindawi Ltd
dc.relation.journalComputational and Mathematical Methods in Medicine
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectMathematical & computational biology
dc.subjectDiseases
dc.subjectExpert systems
dc.subjectCardiac arrhythmia
dc.subjectData set
dc.subjectFeature space
dc.subjectFeature space
dc.subjectFisher score
dc.subjectLeast squares support vector machines
dc.subjectUCI machine learning repository
dc.subjectSupport vector machines
dc.subject.emtreeArticle
dc.subject.emtreeClinical evaluation
dc.subject.emtreeDiagnostic accuracy
dc.subject.emtreeExpert system
dc.subject.emtreeFisher score
dc.subject.emtreeHeart arrhythmia
dc.subject.emtreeMachine learning
dc.subject.emtreeSupport vector machine
dc.subject.emtreeAlgorithm
dc.subject.emtreeArrhythmias, cardiac
dc.subject.emtreeArtificial intelligence
dc.subject.emtreeBiology
dc.subject.emtreeComputer assisted diagnosis
dc.subject.emtreeElectrocardiography
dc.subject.emtreeEvaluation study
dc.subject.emtreeFactual database
dc.subject.emtreeHuman
dc.subject.emtreeRegression analysis
dc.subject.emtreeStatistics and numerical data
dc.subject.emtreeSupport vector machine
dc.subject.emtreeComputer assisted diagnosis
dc.subject.emtreeStatistics
dc.subject.meshAlgorithms
dc.subject.meshArrhythmias, cardiac
dc.subject.meshArtificial intelligence
dc.subject.meshComputational biology
dc.subject.meshDatabases, factual
dc.subject.meshDiagnosis, computer-assisted
dc.subject.meshElectrocardiography
dc.subject.meshExpert systems
dc.subject.meshHumans
dc.subject.meshLeast-squares analysis
dc.subject.meshSupport vector machines
dc.subject.scopusElectrocardiograph; Compressed Sensing; Compression
dc.subject.wosMathematical & computational biology
dc.titleAn expert system based on fisher score and LS-SVM for cardiac arrhythmia diagnosis
dc.typeArticle
dc.wos.quartileQ3
dspace.entity.typePublication
local.contributor.departmentMühendislik Fakültesi/Elektrik Elektronik Mühendisliği Bölümü
local.indexed.atScopus
local.indexed.atWOS

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