Developing a machine learning model to predict patient need for computed tomography imaging in the emergency department

Overcrowding is a well-known problem in hospitals and emergency departments (ED) that can negatively impact patients and staff. This study aims to present a machine learning model to detect a patient’s need for a Computed Tomography (CT) exam in the emergency department at the earliest possible time...

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Detalles Bibliográficos
Autores principales: Shahbandegan, Amirmohammad, Mago, Vijay, Alaref, Amer, van der Pol, Christian B., Savage, David W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754219/
https://www.ncbi.nlm.nih.gov/pubmed/36520785
http://dx.doi.org/10.1371/journal.pone.0278229

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754219/
https://www.ncbi.nlm.nih.gov/pubmed/36520785
http://dx.doi.org/10.1371/journal.pone.0278229

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