Machine learning to predict early recurrence after oesophageal cancer surgery

HIGHLIGHTS

• who: Birmingham and colleagues from the University of, Utrecht, the Netherlands have published the research work: Machine learning to predict early recurrence after oesophageal cancer surgery, in the Journal: (JOURNAL) of 13/Nov/2019
• what: The study focused on predictive model study design and reporting as suggested by the AJCC47 and TRIPOD48 statements.
• how: The model derived using machine learning approaches and an international data set provided excellent performance in quantifying the risk of early recurrence after and will be useful in prognostication for clinicians and patients. of the OCCAMS are co-authors . . .
  

   

  

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