Ontology highlight
ABSTRACT: Background
COVID-19 can occur asymptomatically, as influenza-like illness, or as more severe forms, which characterize severe acute respiratory syndrome (SARS). Its mortality rate is higher in individuals over 80 years of age and in people with comorbidities, so these constitute the risk group for severe forms of the disease. We analyzed the factors associated with death in confirmed cases of COVID-19 in the state of Rio de Janeiro. This cross-sectional study evaluated the association between individual demographic, clinical, and epidemiological variables and the outcome (death) using data from the Unified Health System information systems.Methods
We used the extreme boosting gradient (XGBoost) model to analyze the data, which uses decision trees weighted by the estimation
SUBMITTER: Cini Oliveira M
PROVIDER: S-EPMC8283387 | biostudies-literature | 2021 Jul
REPOSITORIES: biostudies-literature