Tutuncu, KemalÇataltaş, Özcan2020-03-262020-03-262017Tutuncu, K., Cataltas, O. (2017). Diagnosis of Mesothelioma Disease Using Different Classification Techniques. International Journal of Intelligent Systems and Applications in Engineering, Special Issue, 7-11.2147-67992147-6799http://www.trdizin.gov.tr/publication/paper/detail/TXpBM09EZ3dNQT09https://hdl.handle.net/20.500.12395/34493Mesothelioma, which is a disease of the pleura and peritoneum, is an asbestos-related environmental disease in undevelopedcountries. Although the incidence of this disease is lower than that of lung cancer, the reaction it creates in society is very high. In thisstudy, 9 different classification algorithms of data mining were applied to the Mesethelioma data set obtained from real patients in DicleUniversity, Faculty of Medicine and loaded into UCI Machine Learning Repository, and the results were compared. When the obtainedresults were examined, it has been seen that Artificial Neural Network (ANN) had %99.0740 correct classification ratio.eninfo:eu-repo/semantics/openAccessArtificial Neural NetworkClassification AlgorithmsClassification RatioData MiningMesothelioma DiseaseArticle5Special Issue711