Lessons (Machine) Learned From COVID-19

Research output: Contribution to journalReview articlepeer-review

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Abstract

Since coronavirus disease 2019 (COVID-19) first emerged more than 3 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.

Original languageEnglish
Pages (from-to)7-9
Number of pages3
JournalJournal of Infectious Diseases
Volume229
Issue number1
DOIs
StatePublished - 15 Jan 2024

Keywords

  • COVID-19
  • SARS-CoV-2
  • biomedical publishing
  • machine learning

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