AJAS Cover
Frequency: Continuous
ISSN: 1546-9239 (Print)
ISSN: 1554-3641 (Online)
Research Article Open Access

The Artificial Neural Network Based Approach for Mortality Structure Analysis

Sokolova M. Kursk, Rashad J. Rasras and D. Skopin

Abstract

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.

American Journal of Applied Sciences
Volume 3 No. 2, 2006, 1698-1702

DOI: https://doi.org/10.3844/ajassp.2006.1698.1702

Submitted On: 27 February 2006 Published On: 28 September 2006

How to Cite: Kursk, S. M., Rasras, R. J. & Skopin, D. (2006). The Artificial Neural Network Based Approach for Mortality Structure Analysis. American Journal of Applied Sciences, 3(2), 1698-1702. https://doi.org/10.3844/ajassp.2006.1698.1702

Open AccessCopyright: © 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.

  • 3,379 Views
  • 2,623 Downloads
  • 14 Citations

Download

Keywords

  • Neural Networks
  • decision support systems
  • modular Neural Networks
  • optimization
  • mortality structure
  • diseases
  • sensitivity analysis