Heliyon (Oct 2022)

Predictive models for COVID-19 detection using routine blood tests and machine learning

  • Yury V. Kistenev,
  • Denis A. Vrazhnov,
  • Ekaterina E. Shnaider,
  • Hala Zuhayri

Journal volume & issue
Vol. 8, no. 10
p. e11185

Abstract

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The problem of accurate, fast, and inexpensive COVID-19 tests has been urgent till now. Standard COVID-19 tests need high-cost reagents and specialized laboratories with high safety requirements, are time-consuming. Data of routine blood tests as a base of SARS-CoV-2 invasion detection allows using the most practical medicine facilities. But blood tests give general information about a patient’s state, which is not directly associated with COVID-19. COVID-19-specific features should be selected from the list of standard blood characteristics, and decision-making software based on appropriate clinical data should be created. This review describes the abilities to develop predictive models for COVID-19 detection using routine blood tests and machine learning.

Keywords