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Prediction of Hospitalization Using Machine Learning for Emergency Department Patients

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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… Click to show full 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).

Keywords: emergency department; machine learning; department patients

Journal Title: Studies in health technology and informatics
Year Published: 2022

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