Comparison of the performance of decision tree types in determining the most important factors associated with the death of patients with Covid-19 hospitalized
Abstract:BackgroundNumerous factors are associated with mortality of people with COVID-19. This study aimed to investigate the most important of these factors related to the death of hospitalized patients with COVID-19 using decision tree algorithms.MethodsThe study data included the information of 8295 patients admitted to the hospitals of Iran University of Medical Sciences, who definitely had COVID-19. After cleaning the data, the most important factors related to the death of patients with COVID-19 were examined ba… Show more
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