Neurofuzzy inference system for diagnosis of Leukemia

Abstract

In this paper, we are using Neurofuzzy system for either prediagnosis or preidentification of leukemia. Mainly the technique of Backpropagation algorithm is used in order to complete the process of training and testing our data, that (data) has already been obtained by generating the Sugeno based model of all considered rules, based on different symptoms of Leukemia taken as input in this procedure. In carcinogenesis, Neurofuzzy is favourably applicable to sort out various types of problems occurs in both pre-clinical as well as post-clinical types of diagnosis. In this application, a fuzzy logic dependent system is presented for the support of the justification of disease for prediagnosis of Leukemia.