Extracting relevant predictive variables for covid-19 severity prognosis: an exhaustive comparison of feature selection techniques

HIGHLIGHTS

• who: Miren Hayet-Otero and colleagues from the University, KOREA, REPUBLIC OF University of the Basque Country (UPV/EHU), Leioa, Basque Country, Spain have published the research work: Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques, in the Journal: PLOS ONE of 11/Oct/2022
• what: The authors focused on a fully data-driven exploration regarding which factors (clinical or otherwise) were most informative for SARS-CoV-2 pneumonia severity prediction via machine learning (ML). In this regard and to the best of the knowledge , the approach . . .
  

   

  

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