Thyroid Disease Diagnosis Using Artificial Immune Recognition System (AIRS)

Basit Öğe Kaydı
dc.contributor.authorKodaz, Halife
dc.contributor.authorBabaoğlu, İsmail
dc.contributor.authorİşcan, Hazim
dc.date.accessioned2020-03-26T17:45:55Z
dc.date.available2020-03-26T17:45:55Z
dc.date.issued2009
dc.departmentSelçuk Üniversitesien_US
dc.descriptionETRI;KISTI;AICITen_US
dc.description2nd International Conference on Interaction Sciences: Information Technology, Culture and Human, ICIS 2009 -- 24 November 2009 through 26 November 2009 -- Seoul -- 79215en_US
dc.description.abstractThe use of artificial intelligence methods in medical diagnosis is increasing gradually. The effectiveness of classification and recognition systems has improved in a great deal to help medical experts in diagnosing diseases. Artificial Immune Systems (AIS) is a new but effective branch of artificial intelligence. This study aims at diagnosing thyroid disease with Artificial Immune Recognition System (AIRS). Thyroid disease diagnosis is an important classification problem. The thyroid data employed in this study is available from UCI Repository site. This data set is a very commonly used data set in the literature relating the use of classification systems for thyroid disease diagnosis and it was used in this study to compare the classification performance of AIRS with regard to other studies. We obtained a classification accuracy of 94.82%, which is one of the highest accuracies reached so far. This result ensured that AIRS would be helpful in diagnosing thyroid function based on laboratory tests, and would open the way to various ill diagnoses support by using the recent clinical examination data, and we are actually in progress.en_US
dc.identifier.citationKodaz, H., Babaoğlu, İ., İşcan, H., (2009). Thyroid Disease Diagnosis Using Artificial Immune Recognition System (AIRS). ACM International Conference Proceeding Series, (403), 756-761. Doi: 10.1145/1655925.1656063
dc.identifier.doi10.1145/1655925.1656063en_US
dc.identifier.endpage761en_US
dc.identifier.isbn9.78161E+12
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage756en_US
dc.identifier.urihttps://dx.doi.org/10.1145/1655925.1656063
dc.identifier.urihttps://hdl.handle.net/20.500.12395/24210
dc.identifier.volume403en_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorKodaz, Halife
dc.institutionauthorBabaoğlu, İsmail
dc.institutionauthorİşcan, Hazim
dc.language.isoenen_US
dc.relation.ispartofACM International Conference Proceeding Seriesen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectArtificial immune recognition systemen_US
dc.subjectArtificial immune systemsen_US
dc.subjectThyroid disease diagnosisen_US
dc.titleThyroid Disease Diagnosis Using Artificial Immune Recognition System (AIRS)en_US
dc.typeConference Objecten_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim
İsim:
4210.pdf
Boyut:
231.28 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Makale Dosyası
İndir

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu
Bilgisayar Mühendisliği Bölümü/Makale Koleksiyonu