Prediction of Hospitalization Using Machine Learning for Emergency Department Patients.

Emergency Service, Hospital Hospitalization Humans Machine Learning ROC Curve Retrospective Studies
emergency department machine learning patient admission

Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
25 May 2022
Historique:
entrez: 25 5 2022
pubmed: 26 5 2022
medline: 27 5 2022
Statut: ppublish

Résumé

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).

Identifiants

DOI: 10.3233/SHTI220422 PMID: 35612042
pubmed: 35612042
pii: SHTI220422
doi: 10.3233/SHTI220422
doi:

Types de publication

Journal Article

Langues

eng

Pagination

145-146

Auteurs

Georgios Feretzakis (G)

School of Science and Technology, Hellenic Open University, Patras, Greece.
Department of Quality Control, Research and Continuing Education, Sismanogleio General Hospital, Marousi, Greece.
IT department, Sismanogleio General Hospital, Marousi, Greece.

Aikaterini Sakagianni (A)

Intensive Care Unit, Sismanogleio General Hospital, Marousi, Greece.

Evangelos Loupelis (E)

IT department, Sismanogleio General Hospital, Marousi, Greece.

Dimitris Kalles (D)

School of Science and Technology, Hellenic Open University, Patras, Greece.

Vasileios Panteris (V)

Gastroenterology Department, Sismanogleio General Hospital, Marousi, Greece.

Lazaros Tzelves (L)

Second Department of Urology, National and Kapodistrian University of Athens, Sismanogleio General Hospital, Marousi, Greece.

Rea Chatzikyriakou (R)

Hematology Laboratory, Sismanogleio General Hospital, Marousi, Greece.

Nikolaos Trakas (N)

Biochemistry Department, Sismanogleio General Hospital, Marousi, Greece.

Stavroula Kolokytha (S)

Emergency Department, Sismanogleio General Hospital, Marousi, Greece.

Polyxeni Batiani (P)

Emergency Department, Sismanogleio General Hospital, Marousi, Greece.

Zoi Rakopoulou (Z)

Administration, Sismanogleio General Hospital, Marousi, Greece.

Aikaterini Tika (A)

Administration, Sismanogleio General Hospital, Marousi, Greece.

Stavroula Petropoulou (S)

IT department, Sismanogleio General Hospital, Marousi, Greece.

Ilias Dalainas (I)

Administration, Sismanogleio General Hospital, Marousi, Greece.

Vasileios Kaldis (V)

Emergency Department, Sismanogleio General Hospital, Marousi, Greece.

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Classifications MeSH

questionsmedicales.fr › Administration des services de santé › Organisation et administration › Administration d'établissement de santé › Administration hospitalière › Services hospitaliers › Service hospitalier d'urgences › Prediction of Hospitalization Using Machine...
questionsmedicales.fr › Établissements, main d'oeuvre et services de soins de santé › Services de santé › Soins aux patients › Hospitalisation › Prediction of Hospitalization Using Machine...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Prediction of Hospitalization Using Machine...
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Intelligence artificielle › Apprentissage machine › Prediction of Hospitalization Using Machine...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Méthodologie en recherche épidémiologique › Courbe ROC › Prediction of Hospitalization Using Machine...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études de cohortes › Études rétrospectives › Prediction of Hospitalization Using Machine...