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A Machine Learning Approach to Differentiate Between COVID-19 and Influenza Infection Using Synthetic Infection and Immune Response Data

2022-01-29

Abstract excerpt

Data analysis is widely used to generate new insights into human disease mechanisms and provide better treatment methods. In this work, we used the mechanistic models of viral infection to generate synthetic data of influenza and COVID-19 patients. We then developed and validated a supervised machine learning model that can distinguish between the two infections. Influenza and COVID-19 are contagious respiratory i...

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Literature Corpus work
23bf4b48-ce00-566b-a12b-4613ef965d91
DOI
10.1101/2022.01.27.22269978
Open publication

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A Machine Learning Approach to Differentiate Between COVID-19 and Influenza Infection Using Synthetic Infection and Immune Response DataDOI 10.1101/2022.01.27.22269978
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