Now showing items 1-2 of 2

    • Comparative analysis of the machine learning models determining COVID-19 patient risk levels 

      Bazilevych, K.; Kyrylenko, O.; Parfenyuk, Y.; Krivtsov, S.; Meniailov, I.; Kuznietcova, V.; Chumachenko, D. (ХАІ, 2023)
      The COVID-19 pandemic has posed unprecedented challenges to global healthcare systems, emphasizing the need for predictive tools for resource allocation and patient care. This study delves into the potential of machine ...
    • Predictive model of COVID-19 epidemic process based on neural network 

      Krivtsov, S.; Meniailov, I.; Bazilevych, K.; Chumachenko, D. (ХАІ, 2022)
      The purpose of the research is to build a model of the epidemic process of COVID-19 to predict its dynamics based on neural networks. The object of research is the epidemic process of infectious diseases using the example ...