Communications Medicine (Jun 2022)

Prediction of SARS-CoV-2-positivity from million-scale complete blood counts using machine learning

  • Gianlucca Zuin,
  • Daniella Araujo,
  • Vinicius Ribeiro,
  • Maria Gabriella Seiler,
  • Wesley Heleno Prieto,
  • Maria Carolina Pintão,
  • Carolina dos Santos Lazari,
  • Celso Francisco Hernandes Granato,
  • Adriano Veloso

DOI
https://doi.org/10.1038/s43856-022-00129-0
Journal volume & issue
Vol. 2, no. 1
pp. 1 – 12

Abstract

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Zuin et al. use a large dataset of blood count exams to predict SARS-CoV-2 PCR results with machine learning. The model performs well and is superior to those that do not take into account infection with other RNA respiratory viruses.