The Artificial Neural Network Based Approach for Mortality Structure Analysis
Sokolova M. Kursk, Rashad J. Rasras and D. Skopin
DOI : 10.3844/ajassp.2006.1698.1702
American Journal of Applied Sciences
Volume 3, Issue 2
The theoretical outcomes and experimental results of applying of Artificial Neural Networks towards mortality structure examination in Russian Federation are presented in the paper. The most influencing classes of diseases are selected by sensitivity analysis. It is proved that Neural Network Models appear to be an adequate tool for mortality structure examination. Some interesting results for males and females total mortality are discussed. Proposed technology can be used for support in decision making in social sphere.
© 2006 Sokolova M. Kursk, Rashad J. Rasras and D. Skopin. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.