DocumentCode
1662223
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
fYear
1995
Firstpage
377
Lastpage
380
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ANNES.1995.499512
Filename
499512
Link To Document