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

fYear

2014

fDate

Feb. 27 2014-March 1 2014

Firstpage

188

Lastpage

190

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing and Communication Technologies (WCCCT), 2014 World Congress on

Conference_Location

Trichirappalli

Print_ISBN

978-1-4799-2876-7

Type

conf

DOI

10.1109/WCCCT.2014.66

Filename

6755136