Classification Models for COVID-19 Test Prioritization in Brazil: Machine Learning Approach
Journal of Medical Internet Research2021Vol. 23(4), pp. e27293–e27293
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Íris Viana dos Santos Santana, Andressa CM da Silveira, Álvaro Sobrinho, Lenardo Chaves e Silva, Leandro Dias da Silva, Danilo F. S. Santos, Edmar C. Gurjão, Ângelo Perkusich
Abstract
The DT classification model can effectively (with a mean accuracy≥89.12%) assist COVID-19 test prioritization in Brazil. The model can be applied to recommend the prioritizing of a patient who is symptomatic for COVID-19 testing.
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