Utility of adding radiomics to clinical features in predicting the outcomes of radiotherapy for head and neck cancer using machine learning

HIGHLIGHTS

• who: Tarun Gangil and collaborators from the Manipal, Karnataka, India Editor:, University Hospital have published the paper: Utility of adding Radiomics to clinical features in predicting the outcomes of radiotherapy for head and neck cancer using machine learning, in the Journal: PLOS ONE of 12/06/2022
• what: While it provides proof-of-concept of integrated Clinical-Radiomic predictive ML models, this study has several limitations.
• how: The details of the dataset are presented in Fig 1. The selected features were made to fit on the dataset and the mean training accuracy was . . .
  

   

  

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