Prediction of survival in oropharyngeal squamous cell carcinoma using machine learning algorithms: a study based on the surveillance, epidemiology, and end results database

HIGHLIGHTS

• who: Su Il Kim from the Michigan Medicine, University of Michigan, United States have published the research work: Prediction of survival in oropharyngeal squamous cell carcinoma using machine learning algorithms: A study based on the surveillance, epidemiology, and end results database, in the Journal: (JOURNAL)
• what: The authors aimed to analyze the clinical data of patients with OPSCC using various machine_learning models, aiming to determine the appropriate models for predicting survival in patients with OPSCC. The authors used the SEER database because it provides large population-based information that cannot be obtained from just one . . .
  

   

  

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