Title :
A New Approach for Diagnosis of Diabetes and Prediction of Cancer Using ANFIS
Author :
Kalaiselvi, C. ; Nasira, G.M.
Author_Institution :
Dept. of Comput. Applic., Karpagam Univ., Tiruppur, India
fDate :
Feb. 27 2014-March 1 2014
Abstract :
The multi factorial, chronic, severe diseases like diabetes and cancer have complex relationship. When the glucose level of the body goes to abnormal level, it will lead to Blindness, Heart disease, Kidney failure and also Cancer. Epidemiological studies have proved that several cancer types are possible in patients having diabetes. Many researchers proposed methods to diagnose diabetes and cancer. To improve the classification accuracy and to achieve better efficiency a new approach like Adaptive Neuro Fuzzy Inference System (ANFIS) is proposed.
Keywords :
cancer; fuzzy reasoning; medical computing; neural nets; patient diagnosis; ANFIS; adaptive neuro fuzzy inference system; blindness; cancer prediction; diabetes diagnosis; epidemiological studies; glucose level; heart disease; kidney failure; Artificial neural networks; Cancer; Classification algorithms; Diabetes; Diseases; Insulin; Sugar; Artificial neural networks; Data Mining; K-means clustering; Knearest neighbour; back propagation;
Conference_Titel :
Computing and Communication Technologies (WCCCT), 2014 World Congress on
Conference_Location :
Trichirappalli
Print_ISBN :
978-1-4799-2876-7
DOI :
10.1109/WCCCT.2014.66