Prediction of COVID-19 severity using machine learning

Kanita Karaduzovic-Hadziabdic, Muhamed Adilovic, Lu Zhang, Andrew I Lumley, Pranay Shah, Muhammad Shoaib, Venkata Satagopam, Prashant Kumar Srivastava, Costanza Emanueli, Simona Greco, Alisia Madè, Teresa Padro, Pedro Domingo, Mitja Lustrek, Markus Scholz, Maciej Rosolowski, Marko Jordan, Bettina Benczik, Bence Ágg, Péter FerdinandyAndrew H Baker, Guy Fagherazzi, Markus Ollert, Joanna Michel, Gabriel Sanchez, Hüseyin Firat, Timo Brandenburger, Fabio Martelli, Lina Badimon, Yvan Devaux*, COVIRNA consortium

*Corresponding author for this work

Research output: Contribution to journalComment/Letter to the editorAcademicpeer-review

Original languageEnglish
Article number70042
Number of pages8
JournalClinical and Translational Medicine
Volume14
Issue number10
DOIs
Publication statusPublished - 1 Oct 2024

Keywords

  • COVID-19/diagnosis epidemiology
  • Machine Learning
  • Humans
  • Severity of Illness Index
  • SARS-CoV-2
  • Male
  • Female
  • Middle Aged

Cite this