Title :
Application of artificial neural networks for childhood obesity prediction
Author :
Novak, Bojan ; Bigec, Martin
Author_Institution :
Fac. of Electr. Eng. & Comput. Sci., Maribor Univ., Slovenia
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
Keywords :
backpropagation; feedforward neural nets; medical computing; social sciences computing; backpropagation; childhood obesity prediction; chronic disease; medical data; neural network application; radial basis function neural network; research; sociological data; Application software; Artificial neural networks; Character generation; Computer science; Degenerative diseases; Europe; Learning systems; Neurons; Pediatrics; System testing;
Conference_Titel :
Artificial Neural Networks and Expert Systems, 1995. Proceedings., Second New Zealand International Two-Stream Conference on
Conference_Location :
Dunedin
Print_ISBN :
0-8186-7174-2
DOI :
10.1109/ANNES.1995.499512
