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

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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Bibliographic Details
Main Authors: Amirmohammad Shahbandegan, Vijay Mago, Amer Alaref, Christian B. van der Pol, David W. Savage
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754219/?tool=EBI

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754219/?tool=EBI

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