Selected article for: "comorbidity gender and death variable"
Author: Francisco Caramelo; Nuno Ferreira; Barbara Oliveiros
Title: Estimation of risk factors for COVID-19 mortality - preliminary results
  • Document date: 2020_2_25
    • ID: 9tgnx7du_15
    Snippet: After populating age, gender and comorbidities variables in the dataset, it still misses the death variable, which highly depends on the previous items. To fill in this variable, we used a Naïve Bayesian approach considering that age, gender and comorbidities would be independent. Therefore, the probability, ( | , , ), of dying given the age interval (A), the gender (G) and the comorbidity (C) is given from.....
    Document: After populating age, gender and comorbidities variables in the dataset, it still misses the death variable, which highly depends on the previous items. To fill in this variable, we used a Naïve Bayesian approach considering that age, gender and comorbidities would be independent. Therefore, the probability, ( | , , ), of dying given the age interval (A), the gender (G) and the comorbidity (C) is given from

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