Cost Reduction in Thyroid Diagnosis: A Hybrid Model with SOM and C4.5 Decision Trees

dc.authoridKINACI, AHMET CUMHUR/0000-0002-8832-5453
dc.contributor.authorKinaci, Ahmet Cumhur
dc.contributor.authorYucebas, Sait Can
dc.date.accessioned2025-01-27T20:57:45Z
dc.date.available2025-01-27T20:57:45Z
dc.date.issued2015
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description22nd International Conference on Neural Information Processing (ICONIP) -- NOV 09-12, 2015 -- Istanbul, TURKEY
dc.description.abstractThe main objective of this paper is to introduce a hybrid model of Self Organizing Maps (SOM) and C4.5, to reduce the costs while maintaining an acceptable diagnostic performance. In this hybrid model, SOM is used first to form clusters and then C4.5 trees specific to each cluster is constructed. The proposed hybrid model is tested on multiclass Thyroid Data and compared to standalone C4.5 tree. Costs were reduced by 22%-27% and performance results vary between 88% and 97% in terms of accuracy and 90%-97% in terms of sensitivity. Cost and performance differences between the hybrid model and standalone C4.5 found to be statistically significant according to Wilcoxon signed-rank test.
dc.identifier.doi10.1007/978-3-319-26535-3_50
dc.identifier.endpage448
dc.identifier.isbn978-3-319-26535-3
dc.identifier.isbn978-3-319-26534-6
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.scopus2-s2.0-84951793998
dc.identifier.scopusqualityQ3
dc.identifier.startpage440
dc.identifier.urihttps://doi.org/10.1007/978-3-319-26535-3_50
dc.identifier.urihttps://hdl.handle.net/20.500.12428/26482
dc.identifier.volume9490
dc.identifier.wosWOS:000371579600050
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer International Publishing Ag
dc.relation.ispartofNeural Information Processing, Pt Ii
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20250125
dc.subjectClinical Decision Support Systems
dc.subjectCost reduction
dc.subjectClustering
dc.subjectDecision trees
dc.subjectSOM
dc.subjectC4.5
dc.titleCost Reduction in Thyroid Diagnosis: A Hybrid Model with SOM and C4.5 Decision Trees
dc.typeConference Object

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