ALGORITHMIZATION OF DISEASE MORBIDITY DATA MINING AT REGIONAL AND MUNICIPAL LEVELS

In the course of multilevel monitoring of disease morbidity the authors propose a succession of stages for carrying out data mining: 1) formation of informative database; 2) comparative data analysis according to distinct geographical units; 3) analysis of a current state, dynamics of the analyzed indices and forecasting their changes; 4) interrelation analysis of the population morbidity indices and resources provision and work of a psychiatric service; 5) classification of the Region’s areas according to morbidity level of the analyzed pathology. The authors offer a complex of methods and means, allowing solving the original problems.

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