Application of artificial neural networks for childhood obesity prediction

Abstract

The aim of this research is to develop an artificial neural network based system for childhood obesity prediction based on various types of medical and sociological data. If obesity could be predicted it could be prevented in most cases and degenerative and chronic diseases caused by it avoided. A new generation of radial basis function neural network is used to handle this difficult problem successfully.