Prediction of Hospitalization Using Machine Learning for Emergency Department Patients
Georgios Feretzakis1,2,3, Aikaterini Sakagianni4, Evangelos Loupelis3
1School of Science and Technology, Hellenic Open University, Patras, Greece.
Abstract:
The objective of this study was to evaluate the predictive capability of five machine learning models regarding the admission or discharge of emergency department patients. A Random Forest classifier outperformed other models with respect to the area under the receiver operating characteristic curve (AUC ROC).
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