Description of Invention
A deadly respiratory illness known as coronavirus disease 2019 (COVID-19) caused by the SARS-CoV-2 coronavirus has lately gone global. Most COVID-19 patients only experience mild to moderate symptoms, but 15% of them eventually develop severe pneumonia, and 5% go on to advance acute respiratory distress syndrome, multiorgan failure, or septic shock. Symptomatic management, oxygen therapy, and mechanical ventilation are the cornerstones of clinical treatment for individuals with respiratory arrest. This research proposes a novel ensemble data mining system for the effective identification of COVID-19 infection.