Prediction of Hospitalization Using Machine Learning for Emergency Department Patients

Autor: Georgios, Feretzakis, Aikaterini, Sakagianni, Evangelos, Loupelis, Dimitris, Kalles, Vasileios, Panteris, Lazaros, Tzelves, Rea, Chatzikyriakou, Nikolaos, Trakas, Stavroula, Kolokytha, Polyxeni, Batiani, Zoi, Rakopoulou, Aikaterini, Tika, Stavroula, Petropoulou, Ilias, Dalainas, Vasileios, Kaldis
Rok vydání: 2022
Předmět:
Zdroj: Studies in health technology and informatics. 294
ISSN: 1879-8365
Popis: 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).
Databáze: OpenAIRE