Medical Diagnosis of Rheumatoid Arthritis Disease From Right and Left Hand Ulnar Artery Doppler Signals Using Adaptive Network Based Fuzzy Inference System (ANFIS) and MUSIC Method

Basit Öğe Kaydı
dc.contributor.authorÖzkan, Ali Osman
dc.contributor.authorKara, Sadık
dc.contributor.authorŞallı, Ali
dc.contributor.authorSakarya, Mehmet Emin
dc.contributor.authorGüneş, Salih
dc.date.accessioned2020-03-26T17:49:35Z
dc.date.available2020-03-26T17:49:35Z
dc.date.issued2010
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractRheumatoid arthritis (RA) is a multi-systemic autoimmune disease that leads to substantial morbidity and mortality. In this paper, as spectral analysis methods of Multiple Signal Classification (MUSIC) method is used in order to extract the significant features from the right and left hand Ulnar artery Doppler signals for the diagnosis of RA disease. The MUSIC method has been used as subspace method. To extract features from Doppler signals obtained from the right and left hand Ulnar arterial the MUSIC method model degrees of 5, 10, 15, 20, and 25 were used. Then, an adaptive network based fuzzy inference system (ANFIS) was applied to features extracted from the right and left hand Ulnar artery Doppler signals for classifying RA disease. The methods are not new, but the study has a novelty in that the application area of these methods is new. In the hybrid model, the combination of MUSIC and ANFIS yielded classification accuracies of 95% (for a model degree of 20) using the right hand Ulnar artery and classification accuracies of 91.25% (for a model degree of 10) using left hand Ulnar artery Doppler signals in the diagnosis of RA disease. The proposed approach has potential to help with the early diagnosis of RA disease for the specialists who study this subject.en_US
dc.description.sponsorshipSelcuk UniversitySelcuk Universityen_US
dc.description.sponsorshipThis work is supported by the Scientific Research Projects of Selcuk University.en_US
dc.identifier.citationGüneş, S., Özkan, A. O., Kara, S., Şallı, A., Sakarya, M. E., (2010). Medical Diagnosis of Rheumatoid Arthritis Disease From Right and Left Hand Ulnar Artery Doppler Signals Using Adaptive Network Based Fuzzy Inference System (ANFIS) and MUSIC Method. Advances in Engineering Software, 41(12), 1295-1301. DOI:10.1016/j.advengsoft.2010.10.001
dc.identifier.doi10.1016/j.advengsoft.2010.10.001en_US
dc.identifier.endpage1301en_US
dc.identifier.issn0965-9978en_US
dc.identifier.issn1873-5339en_US
dc.identifier.issue12en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1295en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.advengsoft.2010.10.001
dc.identifier.urihttps://hdl.handle.net/20.500.12395/25060
dc.identifier.volume41en_US
dc.identifier.wosWOS:000285122400006en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorGüneş, Salih
dc.institutionauthorÖzkan, Ali Osman
dc.institutionauthorŞallı, Ali
dc.institutionauthorÖzkan, Ali Osman
dc.language.isoenen_US
dc.publisherELSEVIER SCI LTDen_US
dc.relation.ispartofAdvances in Engineering Softwareen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectRheumatoid Arthritis Diseaseen_US
dc.subjectUlnar Arteryen_US
dc.subjectMUSIC Methoden_US
dc.subjectAdaptive Network Based Fuzzy Inference System (ANFIS)en_US
dc.subjectDoppler Ultrasounden_US
dc.titleMedical Diagnosis of Rheumatoid Arthritis Disease From Right and Left Hand Ulnar Artery Doppler Signals Using Adaptive Network Based Fuzzy Inference System (ANFIS) and MUSIC Methoden_US
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim
İsim:
5060.pdf
Boyut:
1.08 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Makale Dosyası
İndir

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Elektirik ve Elektronik Mühendisliği/Makale Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu