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Lessons (machine) learned from COVID-19.

Timothy F Sullivan
Published in: The Journal of infectious diseases (2023)
Since COVID-19 first emerged over three years ago, more than 1200 articles have been written describing "lessons learned" from the pandemic. While these articles may contain valuable insights, reading them all would be impossible. A machine learning clustering analysis was therefore performed to obtain an overview of these publications and to highlight the benefits of using machine learning to analyze the vast and ever-growing COVID-19 literature.
Keyphrases
  • coronavirus disease
  • sars cov
  • machine learning
  • respiratory syndrome coronavirus
  • systematic review
  • artificial intelligence