Show simple item record

dc.contributor.authorDemirer, Rüştü Murat
dc.contributor.authorArslan, Yunus Ziya
dc.contributor.authorPalamar, Deniz
dc.contributor.authorUğur, Mukden
dc.contributor.authorKaramehmetoğlu, Şafak Sahir
dc.date.accessioned2017-10-18T11:26:37Z
dc.date.available2017-10-18T11:26:37Z
dc.date.issued2012
dc.identifier.issn1748-670X
dc.identifier.urihttp://hdl.handle.net/11413/1706
dc.description.abstractIn our previous study, we have demonstrated that analyzing the skin impedancesmeasured along the key points of the dermatomes might be a useful supplementary technique to enhance the diagnosis of spinal cord injury (SCI), especially for unconscious and noncooperative patients. Initially, in order to distinguish between the skin impedances of control group and patients, artificial neural networks (ANNs) were used as the main data classification approach. However, in the present study, we have proposed two more data classification approaches, that is, support vector machine (SVM) and hierarchical cluster tree analysis (HCTA), which improved the classification rate and also the overall performance. A comparison of the performance of these three methods in classifying traumatic SCI patients and controls was presented. The classification results indicated that dendrogram analysis based on HCTA algorithm and SVM achieved higher recognition accuracies compared to ANN. HCTA and SVM algorithms improved the classification rate and also the overall performance of SCI diagnosis.tr_TR
dc.language.isoen_UStr_TR
dc.publisherHindawi Publishing Corporation, 410 Park Avenue, 15Th Floor, #287 Pmb, New York, Ny 10022 USAtr_TR
dc.relationComputational And Mathematical Methods in Medicinetr_TR
dc.subjectsupport vector machinetr_TR
dc.subjectnetworkstr_TR
dc.subjectdestek vektör makinesitr_TR
dc.subjectağlartr_TR
dc.titleComparison of the Data Classification Approaches to Diagnose Spinal Cord Injurytr_TR
dc.typeArticletr_TR
dc.contributor.authorID141152tr_TR
dc.contributor.authorID110120
dc.contributor.authorID31716
dc.contributor.authorID9347
dc.identifier.wos302686800001
dc.identifier.wos302686800001en
dc.identifier.scopus2-s2.0-84859755883
dc.identifier.scopus2-s2.0-84859755883en


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record