Childhood obesity prediction with artificial neural networks

Childhood obesity is disease sue generis and is background for development of different illness in further life. If obesity could be predicted it could be prevented in most cases and degenerative and chronic diseases caused by it avoided. But such prediction is very complex medical and sociological problem. A new generation of artificial neural network is applied to handle this difficult problem successfully.