High-dimensional multinomial multiclass severity scoring of covid-19 pneumonia using ct radiomics features and machine learning algorithms

HIGHLIGHTS

• who: Isaac Shiri from the DivisionGeneva University, Vancouver, BC, Canada have published the research: High-dimensional multinomial multiclass severity scoring of COVID-19 pneumonia using CT radiomics features and machine learning algorithms, in the Journal: Scientific Reports Scientific Reports of 31/05/2022
• what: In the present study, involving a large cohort of patients, the authors aimed to construct a CT radiomics-based multi-class classification model to predict the severity of COVID-19 pneumonia. The authors report mean precision, recall, F1-score, and accuracy and their standard deviation (SD) for different classes in each . . .
  

   

  

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