Abstract
Analysis of the components of investment potential and investment risk in industrial regions of Russia shows that the most critical for most of them are environmental risks. Therefore, the necessary condition for increasing investment attractiveness and ensuring sustainable development of these regions is the optimization of environmental risks, and the main indicators of their sustainable development can be considered indicators that characterize the environmental safety and environmental risks of the population. However, currently there are no methods for quantitative and statistically reliable assessment of technogenic environmental risks of causing harm to the health of the population of a particular region, taking into account factors specific to this region. To assess and forecast environmental risks, it is proposed to use methods and models of data mining, which use data from long-term observations of the state of the environment and statistical data on the health of the population of these regions.
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