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IJSTR >> Volume 2- Issue 2, February 2013 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Diabetes Detection Using Artificial Neural Networks & Back-Propagation Algorithm

[Full Text]

 

AUTHOR(S)

Ms. Divya(Assistant Professor(MSIT)), Raman Chhabra, Sumit Kaur, Swagata Ghosh

 

KEYWORDS

Index Terms:- Artifical Neural Network,Transfer Function,Body Mass Index

 

ABSTRACT

This is a project aimed at predicting the chances of diabetes in a person, that whether or not is he/she prone to it. We have used certain parameters namely: number of pregnancies, glucose, BP, skin fold, insulin, body mass index, pedigree and age. The database of 768 patients with these parameters each was taken from National Institute of Diabetes and Digestive and Kidney Diseases. Using neural network feed forward prediction model in conjunction with back propagation algorithm, and given training data set, we predicted whether a subject was likely to have diabetes.

 

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