Machine learning algorithms applied to the diagnosis of COVID-19 based on epidemiological, clinical, and laboratory data

Macedo1, Silvia Elaine Cardozo; Freire1, Marina de Borba Oliveira; Kremer2, Oscar Schmitt; Noal1, Ricardo Bica; Moraes2, Fabiano Sandrini; Cunha2, Mauro André Barbosa

doi:https://dx.doi.org/10.36416/1806-3756/e20240385

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Peer-Reviewed
Artigo Original

Machine learning algorithms applied to the diagnosis of COVID-19 based on epidemiological, clinical, and laboratory data

Silvia Elaine Cardozo Macedo1, Marina de Borba Oliveira Freire1, Oscar Schmitt Kremer2, Ricardo Bica Noal1, Fabiano Sandrini Moraes2, Mauro André Barbosa Cunha2

DOI: https://dx.doi.org/10.36416/1806-3756/e20240385

1. Faculdade de Medicina, Universidade Federal de Pelotas, Pelotas (RS) Brasil.
2. Instituto Federal de Educação, Ciência e Tecnologia Sul-rio-grandense, Campus Pelotas, Pelotas (RS) Brasil.
Submitted: 26 November 2024.
Accepted: 18 December 2024.
Study carried out at the Hospital Escola, Universidade Federal de Pelotas, Pelotas

Correspondence to:
Silvia Elaine Cardozo Macedo. Rua Professor Dr. Araújo, 538, CEP 96020-360, Pelotas, RS, Brasil.
Tel.: 55 53 3284-4900. E-mail: silviaecmacedo@gmail.com