Title :
Neurofuzzy inference system for diagnosis of Leukemia
Author :
Ekata ; Tyagi, Praveen Kumar ; Singhal, Harshit
Author_Institution :
Dept. of Math., KIET, Ghaziabad, India
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.
Keywords :
backpropagation; blood; cancer; fuzzy logic; fuzzy reasoning; fuzzy systems; medical computing; neural nets; patient diagnosis; tumours; Sugeno-based model; backpropagation algorithm; carcinogenesis; disease justification; fuzzy logic dependent system; leukemia diagnosis; leukemia prediagnosis; leukemia preidentification; leukemia symptoms; neurofuzzy inference system; neurofuzzy system; postclinical diagnosis type; preclinical problems; Blood; Bones; Hemorrhaging; Medical diagnostic imaging; Nose; Pain; Testing; Backpropagation algorithm; Neurofuzzy inference system; leukemia;
Conference_Titel :
Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH), 2014 Innovative Applications of
Conference_Location :
Ghaziabad
DOI :
10.1109/CIPECH.2014.7019071
