Evaluation of the models generated from clinical features and deep learning-based segmentations: can thoracic ct on admission help us to predict hospitalized covid-19 patients who will require intensive care?

HIGHLIGHTS

• who: Mutlu Gu00fclbay from the Department of Radiology, Ankara City Hospital, u00dcniversiteler Mahallesi Cadde No:, u00c7ankaya, Ankara, Turkey have published the paper: Evaluation of the models generated from clinical features and deep learning-based segmentations: Can thoracic CT on admission help us to predict hospitalized COVID-19 patients who will require intensive care?, in the Journal: (JOURNAL) of January/15,/2022
• what: The aim of this study was to generate and compare models that predict the need for ICUs in hospitalized COVID-19 patients using clinical features and volumetric and radiomics data that were calculated . . .
  

   

  

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