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

DOI10.3934/MBE.2022272OpenAlexW4226217608MaRDI QIDQ2686729

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

Publication date: 28 February 2023

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2022272

zbMATH Keywords

classificationridgeregularizationlogistic regressionmachine learninginfectious diseaseLassobiological systemsmechanistic modelCOVID-19PLS-DAinfluenza (flu)

Mathematics Subject Classification ID

Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Unnamed Item
• Explanation in artificial intelligence: insights from the social sciences
• Definitions, methods, and applications in interpretable machine learning

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