Abstract
The high investment potential of the regions of Siberia is substantially leveled by the low infrastructural potential and the high level of investment risks, primarily social and environmental risks. Consequently, the fundamental basis for ensuring their sustainable development and increasing investment attractiveness is the optimization of social and environmental risks. And the main indicators of their sustainable development are the indicators characterizing the environmental safety and social and environmental risks of the population. To assess the socio-environmental risks of harm to the health of the population of the region, taking into account its specific features, we propose to use data mining methods and neural network models, along with classical methods.
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