Multi-center validation of machine learning model for preoperative prediction of postoperative mortality

HIGHLIGHTS

• who: Seung Wook Lee from the tenfold cross-validation were performedThe XGBoost method in Seoul National University have published the article: Multi-center validation of machine learning model for preoperative prediction of postoperative mortality, in the Journal: (JOURNAL)
• what: The aim of this study was to construct a viable artificial_intelligence model for predicting prognosis prior to surgery that could be used in the real world. Despite these barriers, this study shows the importance of the amount of data in prediction performance. From the datasets of the four institutions used in this study, it is shown . . .
  

   

  

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