Covid-19 rapid test by combining a Random Forest-based web system and blood tests.

Barbosa, Valter Augusto de Freitas; Gomes, Juliana Carneiro; de Santana, Maíra Araújo; de Lima, Clarisse Lins; Calado, Raquel Bezerra; Bertoldo Júnior, Cláudio Roberto; Albuquerque, Jeniffer Emidio de Almeida; de Souza, Rodrigo Gomes; de Araújo, Ricardo Juarez Escorel; Mattos Júnior, Luiz Alberto Reis; de Souza, Ricardo Emmanuel; Dos Santos, Wellington Pinheiro

Barbosa, Valter Augusto de Freitas; Gomes, Juliana Carneiro; de Santana, Maíra Araújo; de Lima, Clarisse Lins; Calado, Raquel Bezerra; Bertoldo Júnior, Cláudio Roberto; Albuquerque, Jeniffer Emidio de Almeida; de Souza, Rodrigo Gomes; de Araújo, Ricardo Juarez Escorel; Mattos Júnior, Luiz Alberto Reis; de Souza, Ricardo Emmanuel; Dos Santos, Wellington Pinheiro.

Afiliación

Barbosa VAF; Federal University of Pernambuco, Recife, Brazil.
Gomes JC; Polytechnique School, University of Pernambuco, Recife, Brazil.
de Santana MA; Polytechnique School, University of Pernambuco, Recife, Brazil.
de Lima CL; Polytechnique School, University of Pernambuco, Recife, Brazil.
Calado RB; Federal University of Pernambuco, Recife, Brazil.
Bertoldo Júnior CR; Federal University of Pernambuco, Recife, Brazil.
Albuquerque JEA; Federal University of Pernambuco, Recife, Brazil.
de Souza RG; Federal University of Pernambuco, Recife, Brazil.
de Araújo RJE; Federal University of Pernambuco, Recife, Brazil.
Mattos Júnior LAR; Federal University of Pernambuco, Recife, Brazil.
de Souza RE; Federal University of Pernambuco, Recife, Brazil.
Dos Santos WP; Federal University of Pernambuco, Recife, Brazil.

J Biomol Struct Dyn ; 40(22): 11948-11967, 2022.

Article en En | MEDLINE | ID: mdl-34463205

Asunto(s)

COVID-19; Humanos; COVID-19/diagnóstico; SARS-CoV-2; Prueba de COVID-19; Bosques Aleatorios; Inteligencia Artificial; Pruebas Hematológicas

Palabras clave

Covid-19; Covid-19 rapid test; blood tests; computer-aided diagnosis; machine learning for diagnosis; software-based rapid test

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Clinical_trials Límite: Humans Idioma: En Revista: J Biomol Struct Dyn Año: 2022 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Reino Unido

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