The Artificial Neural Network Based Approach for Mortality Structure Analysis

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.