Selected article for: "diagnostic value and specificity sensitivity"

Author: Fredi A Diaz-Quijano; Jose Mario Nunes da Silva; Fabiana Ganem; Silvano Oliveira; Andrea Liliana Vesga-Varela; Julio Croda
Title: A model to predict SARS-CoV-2 infection based on the first three-month surveillance data in Brazil.
  • Document date: 2020_4_8
  • ID: 3dzv20b7_24
    Snippet: When this function was applied in patients from the other FUs, which included 785 cases of COVID-19 compared with 3407 with other diseases, the ROC area was 73.16% (95% CI: 71.35 -74.96%), and the accuracy was 73.43% (sensitivity 46.37% and specificity 79.66%). In table 4, we described the diagnostic accuracy indicators of selected predicted-value cutoffs in both the SP/RJ and the other FU groups......
    Document: When this function was applied in patients from the other FUs, which included 785 cases of COVID-19 compared with 3407 with other diseases, the ROC area was 73.16% (95% CI: 71.35 -74.96%), and the accuracy was 73.43% (sensitivity 46.37% and specificity 79.66%). In table 4, we described the diagnostic accuracy indicators of selected predicted-value cutoffs in both the SP/RJ and the other FU groups.

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