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: |
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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 |
Externí odkaz: |
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