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dc.contributor.authorYILMAZ, C
dc.contributor.authorGulsecen, Sevinç
dc.contributor.authorYılmaz, E
dc.contributor.authorYakhno, T
dc.date.accessioned2021-03-05T14:36:51Z
dc.date.available2021-03-05T14:36:51Z
dc.identifier.citationYakhno T., YILMAZ C., Gulsecen S., Yılmaz E., "Kidney allocation expert system with case-based reasoning", ADVANCES IN INFORMATION SYSTEMS, PROCEEDINGS, cilt.3261, ss.489-498, 2004
dc.identifier.issn0302-9743
dc.identifier.othervv_1032021
dc.identifier.otherav_b804d732-d8bb-420b-9014-15f3842de9fa
dc.identifier.urihttp://hdl.handle.net/20.500.12627/122447
dc.description.abstractExperts in fields of organ transplantation have to make crucial decisions based on medical, social, moral and ethical factors. The paper describes the kidney allocation expert system KARES-CBR. Our system consists of two main components. Traditional expert system part uses rule-based knowledge. These rules contain general medical knowledge, such as blood group and antigens matching rules. Another group of rules contains decision making rules related to social and ethical information about organ transplantation. After decision making, the expert system component generates the list of medically suitable patients for the transplantation of an available organ.
dc.language.isoeng
dc.subjectBiyoenformatik
dc.subjectMühendislik ve Teknoloji
dc.subjectBilgisayar Bilimleri
dc.subjectBilgi Güvenliği ve Güvenilirliği
dc.subjectBİLGİSAYAR BİLİMİ, TEORİ VE YÖNTEM
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectBilgisayar Bilimi
dc.subjectBİLGİSAYAR BİLİMİ, BİLGİ SİSTEMLERİ
dc.titleKidney allocation expert system with case-based reasoning
dc.typeMakale
dc.relation.journalADVANCES IN INFORMATION SYSTEMS, PROCEEDINGS
dc.contributor.department, ,
dc.identifier.volume3261
dc.identifier.startpage489
dc.identifier.endpage498
dc.contributor.firstauthorID45577


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