title: Dynamic evaluation of a COVID-19 death prediction model using Extreme Gradient Boosting Predictive Model
abstract: The COVID-19 pandemic has evolved dynamically with the emergence of new variants and an increase in vaccination coverage. Given the high fatality rate of severe COVID-19, disease severity prediction models must incorporate these temporal variations. In this light, the present study seeks to develop a model to predict COVID-19 mortality in hospitalized patients. The Extreme Gradient Boost model was used to predict COVID-19 mortality upon hospital admission, and the results were correlated with la
journal: Ciência & Saúde Coletiva