Multicriterion selection and adjustment of models for epidemiological data analysis in Russia

The paper offers a dialog system for multicriterion selection and adjustment of predictive models for epidemiological data analysis. The elaborated multicriterion description seeks to obtain a better quality of time series forecasting, thus allowing to formulate the forecasting problem as an optimization one. The applications of the approach to the selection and adjustment of predictive models for different diseases are demonstrated.