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 ...
    • Ensemble machine learning approaches for fake news classification 

      Padalko, H.; Chomko, V.; Yakovlev, S.; Chumachenko, D. (ХАІ, 2023)
      This study develops an ensemble machine learning model for fake news classification. The research is targeted at spreading fake news. The research subjects are machine learning methods for misinformation classification.