A New Approach for Diagnosis of Diabetes and Prediction of Cancer using ANFIS

被引：22

作者：

Kalaiselvi, C. ^{[1
,2
]}

Nasira, G. M. ^{[3
]}

机构：

[1] Karpagam Univ, Coimbatore, Tamil Nadu, India

[2] Tiruppur Kumaran Coll Women, Dept Comp Applicat, Tirupur, India

[3] Chikanna Govt Arts Coll men, Dept Comp Applicat, Tirupur, India

来源：

2014 WORLD CONGRESS ON COMPUTING AND COMMUNICATION TECHNOLOGIES (WCCCT 2014) | 2014年

关键词：

Data Mining; Artificial neural networks; K-nearest neighbour; K-means clustering; back propagation; RULES;

D O I：

10.1109/WCCCT.2014.66

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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. The Pima Indian diabetic dataset is used as data set for classification.

引用

页码：188 / +

页数：2

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