A new classification method to diagnosis liver disorders: Supervised Artificial Immune System (AIRS) [Karaci?er rahatsizli?i teşhisinde yeni bir siniflama yöntemi: Danişmali Yapay Ba?işiklik Sistemi (AIRS)]
dc.contributor.author | Polat K. | |
dc.contributor.author | Şahan S. | |
dc.contributor.author | Kodaz H. | |
dc.contributor.author | Güneş S. | |
dc.date.accessioned | 2020-03-26T16:58:31Z | |
dc.date.available | 2020-03-26T16:58:31Z | |
dc.date.issued | 2005 | |
dc.department | Selçuk Üniversitesi | en_US |
dc.description | IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005 -- 16 May 2005 through 18 May 2005 -- Kayseri -- 69003 | en_US |
dc.description.abstract | Medical diagnosis is very important in medicine. It is necessary to form an efficient and effective computer-based method for decision support in medical analysis. Artificial Immune Systems (AIS), which we can say very new, is an effective and prosperous artificial intelligence area with respect to its problem solving performance. In the beginning, it was formed for helping medical experts to understand the working procedure of immune system in more detail by modeling interactions in immune system. The used medical data was taken from machine learning database of California University in Irvine. In this study, each of data was classified with Artificial Immune Recognition System (AIRS). This application was done by using MATLAB 6.5 programming language. AIRS classification algorithm, which has an important place among classification algorithms in the field of Artificial Immune Systems, has showed an effective and intriguing performance on the problem it was applied. AIRS was previously applied to some medical classification problems including Breast Cancer, Cleverand Heart Disease, Diabetes and it obtained very satisfactory results. So, AIRS proved to be an efficient artificial intelligence technique in medical field. © 2005 IEEE. | en_US |
dc.identifier.doi | 10.1109/SIU.2005.1567647 | en_US |
dc.identifier.endpage | 174 | en_US |
dc.identifier.isbn | 0780392396; 9780780392397 | |
dc.identifier.scopusquality | N/A | en_US |
dc.identifier.startpage | 169 | en_US |
dc.identifier.uri | https://dx.doi.org/10.1109/SIU.2005.1567647 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12395/19971 | |
dc.identifier.volume | 2005 | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | tr | en_US |
dc.relation.ispartof | Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.selcuk | 20240510_oaig | en_US |
dc.title | A new classification method to diagnosis liver disorders: Supervised Artificial Immune System (AIRS) [Karaci?er rahatsizli?i teşhisinde yeni bir siniflama yöntemi: Danişmali Yapay Ba?işiklik Sistemi (AIRS)] | en_US |
dc.type | Conference Object | en_US |
Dosyalar
Orijinal paket
1 - 1 / 1
Yükleniyor...
- İsim:
- a-new-classification-method-to-diagnosis-liver-disorders-supervi.pdf
- Boyut:
- 285.94 KB
- Biçim:
- Adobe Portable Document Format
- Açıklama: