PREDICTION OF THE DEVELOPMENT OF MYOCARDIAL INFARCTION BASED ON SEASONAL AND METEOROLOGICAL FACTORS

The article analyzes the influence of meteorological and seasonal factors on the incidence of acute myocardial infarction (MI). Based on the revealed patterns, models, and algorithms for predicting the development of MI for a certain date have been developed, depending on seasonal characteristics and taking into account the monitoring of meteorological data for planning preventive measures. The analysis was carried out based on data from the Voronezh regional register of MI for 2015-2017. To build the regression model, we used random forest models and gradient boosting (CatBoostRegressor, LGBMRegressor, LGBMRegressor).