Using Machine Learning Techniques to Predict Hospital Admission at the Emergency Department

Autor: Feretzakis Georgios, Karlis George, Loupelis Evangelos, Kalles Dimitris, Chatzikyriakou Rea, Trakas Nikolaos, Karakou Eugenia, Sakagianni Aikaterini, Tzelves Lazaros, Petropoulou Stavroula, Tika Aikaterini, Dalainas Ilias, Kaldis Vasileios
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: The Journal of Critical Care Medicine, Vol 8, Iss 2, Pp 107-116 (2022)
Druh dokumentu: article
ISSN: 2393-1817
DOI: 10.2478/jccm-2022-0003
Popis: One of the most important tasks in the Emergency Department (ED) is to promptly identify the patients who will benefit from hospital admission. Machine Learning (ML) techniques show promise as diagnostic aids in healthcare.
Databáze: Directory of Open Access Journals