Performance metrics measures as Receiver Operator Characteristics Area Under the Curve (ROC AUC) of the four different modelling approaches benchmarked against each other for predicting the mortality and the 18 different complications included in the National Surgical Quality Improvement Program (NSQIP) dataset.

مواد مشابهة

• 5.881.881 patients were in the National Surgical Quality Improvement Program (NSQIP) dataset, 31.944 of whom were PD patients.
  حسب: Mikkel Bonde (17322967)
  منشور في: (2024)
• The average morbidity Receiver Operator Characteristics Area Under the Curve (ROC_AUC) scores of the four models, calculated on the test set.
  حسب: Mikkel Bonde (17322967)
  منشور في: (2024)
• The overall performance of the four models on all variables in the test set with Receiver Operator Characteristics Area Under the Curve (ROC_AUC) values as the metric.
  حسب: Mikkel Bonde (17322967)
  منشور في: (2024)
• The incidence of postoperative complication (prediction variables) for the three datasets before the split into validation/training sets are depicted above with the number of patients experiencing each variable labelled.
  حسب: Mikkel Bonde (17322967)
  منشور في: (2024)
• SHAP values for the direct model.
  حسب: Mikkel Bonde (17322967)
  منشور في: (2024)