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Computing the Hazard Ratios Associated With Explanatory Variables Using Machine Learning Models of Survival Data
Open-source libraries in Python and R were used in the analyses ... Subsequent Kaplan-Meier plots supported the finding of the XGBoost model. The computation of SHapley Additive exPlanation values, ...
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Comparison of an interpretable extreme gradient boosting model and an artificial neural network model for prediction of severe acute pancreatitis
A prediction model that would facilitate early recognition of patients at risk for SAP is crucial for improvement of patient prognosis. Objectives: The aim of this study was to evaluate the accuracy ...