A machine learning approach to differentiate between COVID-19 and influenza infection using synthetic infection and immune response data.

Farhang-Sardroodi, Suzan; Ghaemi, Mohammad Sajjad; Craig, Morgan; Ooi, Hsu Kiang; Heffernan, Jane M

Farhang-Sardroodi, Suzan; Ghaemi, Mohammad Sajjad; Craig, Morgan; Ooi, Hsu Kiang; Heffernan, Jane M.

Afiliação

Farhang-Sardroodi S; Modelling Infection and Immunity Lab, Mathematics Statistics, York University, Toronto, Canada.
Ghaemi MS; Centre for Disease Modelling (CDM), Mathematics Statistics, York University, Toronto, Canada.
Craig M; Digital Technologies Research Centre, National Research Council Canada, Toronto, ON, Canada.
Ooi HK; Sainte-Justine University Hospital Research Centre and Department of Mathematics and Statistics, Université de Montréal, Montreal, Quebec, Canada.
Heffernan JM; Digital Technologies Research Centre, National Research Council Canada, Toronto, ON, Canada.

Math Biosci Eng ; 19(6): 5813-5831, 2022 04 06.

Article em En | MEDLINE | ID: mdl-35603380

Assuntos

COVID-19; Influenza Humana; COVID-19/diagnóstico; Humanos; Imunidade; Influenza Humana/diagnóstico; Influenza Humana/epidemiologia; Aprendizado de Máquina; Curva ROC

Palavras-chave

COVID-19; Influenza (flu); Lasso; Logistic regression; PLS-DA; Ridge; biological systems; classification; infectious disease; machine learning; mechanistic model; regularization

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Influenza Humana / COVID-19 Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo

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PubMed Links

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Influenza Humana / COVID-19 Idioma: En Ano de publicação: 2022 Tipo de documento: Article