COVID-19 Prognostic Models: A Pro-con Debate for Machine Learning vs. Traditional Statistics

COVID-19 Prognostic Models: A Pro-con Debate for Machine Learning vs. Traditional Statistics

The SARS-CoV-2 virus, which causes the COVID-19 pandemic, has had an unprecedented impact on healthcare requiring multidisciplinary innovation and novel thinking to minimize impact and improve outcomes. Wide-ranging disciplines have collaborated including diverse clinicians (radiology, microbiology,...

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Bibliographic Details
Main Authors: Ahmed Al-Hindawi (Author), Ahmed Abdulaal (Author), Timothy M. Rawson (Author), Saleh A. Alqahtani (Author), Nabeela Mughal (Author), Luke S. P. Moore (Author)
Format: Book
Published: Frontiers Media S.A., 2021-12-01T00:00:00Z.
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3rd Floor Main Library

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