Predictive modelling of the dynamics of antimicrobial resistance: creation of a bank of renewable models based on machine learning

The bank of models created on the basis of LightGBM provides for precise forecasting of the dynamics of AMR and the formation of strategies for the management of antimicrobial therapy. An optimization of consumption according to the results of the modelling is capable of reducing resistance by 15-20%. The AMCmodel.ru platform provides tools for real-time decision-making. An online platform AMCmodel.ru has been developed for data visualization, access to models and forecast generation.