Selected article for: "large scale and rapid spread"
Author: Andre Filipe de Moraes Batista; Joao Luiz Miraglia; Thiago Henrique Rizzi Donato; Alexandre Dias Porto Chiavegatto Filho
Title: COVID-19 diagnosis prediction in emergency care patients: a machine learning approach
  • Document date: 2020_4_7
    • ID: nvavj9gk_16
    Snippet: We found that by using only standard exams performed upon emergency care admission, machine learning algorithms were able to predict with good performance the risk of each patient having a positive result for COVID-19. As of April 5, 2020, there have been a total of 11,130 confirmed cases of COVID-19 in Brazil. Due to an overall shortage of tests, the current recommendation from Brazilian Ministry of Health is that tests should only be performed .....
    Document: We found that by using only standard exams performed upon emergency care admission, machine learning algorithms were able to predict with good performance the risk of each patient having a positive result for COVID-19. As of April 5, 2020, there have been a total of 11,130 confirmed cases of COVID-19 in Brazil. Due to an overall shortage of tests, the current recommendation from Brazilian Ministry of Health is that tests should only be performed for critically-ill patients, contrary to the guidance of the World Health Organization which encourages large-scale tests of the population. 7 There are now also confirmed cases in most African countries and India, where the potential of rapid spread will require harsher cost-effective decisions on which patients to test for COVID-10.

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