Computer-assisted diagnosis of vertebral column diseases by adaptive neuro-fuzzy inference system [Adaptif sinirsel bulanik çikarim sistemi ile omurga rahatsizliginin bilgisayar destekli teşhisi]
| dc.contributor.author | Uzun R. | |
| dc.contributor.author | Isler Y. | |
| dc.contributor.author | Erkaymaz O. | |
| dc.contributor.author | Kocadayi Y. | |
| dc.date.accessioned | 2019-10-26T21:14:54Z | |
| dc.date.available | 2019-10-26T21:14:54Z | |
| dc.date.issued | 2018 | |
| dc.department | Ege Üniversitesi | en_US |
| dc.description | Aselsan;et al.;Huawei;IEEE Signal Processing Society;IEEE Turkey Section;Netas | en_US |
| dc.description | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- 137780 | en_US |
| dc.description.abstract | In this study, a clustering algorithm based on adaptive neural fuzzy inference system (ANFIS) was used for computer-assisted diagnosis of the vertebral column disorder from machine learning databases of UCI (University of California Irvine). Features of pelvic incidence, pelvic tilt and lumbar lordosis angle given in this dataset was applied to the inputs of the algorithm. The performance of algorithm was evaluated using mean square error and regression coefficient criteria to discriminate patients with vertebral column disease from healthy subjects. As a result, the classification performance of 90.82% was obtained by using the generated model of ANFIS. © 2018 IEEE. | en_US |
| dc.identifier.doi | 10.1109/SIU.2018.8404736 | |
| dc.identifier.endpage | 4 | en_US |
| dc.identifier.isbn | 9781538615010 | |
| dc.identifier.scopusquality | N/A | en_US |
| dc.identifier.startpage | 1 | en_US |
| dc.identifier.uri | https://doi.org/10.1109/SIU.2018.8404736 | |
| dc.identifier.uri | https://hdl.handle.net/11454/15919 | |
| dc.indekslendigikaynak | Scopus | en_US |
| dc.language.iso | tr | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | ANFIS | en_US |
| dc.subject | Clustering | en_US |
| dc.subject | Diagnosis | en_US |
| dc.subject | Machine learning | en_US |
| dc.subject | Vertebral column | en_US |
| dc.title | Computer-assisted diagnosis of vertebral column diseases by adaptive neuro-fuzzy inference system [Adaptif sinirsel bulanik çikarim sistemi ile omurga rahatsizliginin bilgisayar destekli teşhisi] | en_US |
| dc.type | Conference Object | en_US |
