A Machine Learning Approach to Exploring Ecological Determinacy of Socially Significant Diseases in Moscow

A study of the relationship between some selected environmental indicators and the presence of socially significant diseases in the population of Moscow was carried out. A statistically significant correlation was confirmed. Machine learning models were built during the regression analysis. A web interface was developed to automate the processes of predicting the population’s morbidity.