Machine learning for risk stratification in the emergency department (MARS-ED) study protocol for a randomized controlled pilot trial on the implementation of a prediction model based on machine learning technology predicting 31-day mortality in the emergency department

Machine learning for risk stratification in the emergency department (MARS-ED) study protocol for a randomized controlled pilot trial on the implementation of a prediction model based on machine learning technology predicting 31-day mortality in the emergency department

Abstract Background Many prediction models have been developed to help identify emergency department (ED) patients at high risk of poor outcome. However, these models often underperform in clinical practice and their actual clinical impact has hardly ever been evaluated. We aim to perform a clinical...

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Bibliographic Details
Main Authors: Paul M.E.L. van Dam, William P.T.M. van Doorn, Floor van Gils, Lotte Sevenich, Lars Lambriks, Steven J.R. Meex, Jochen W.L. Cals, Patricia M. Stassen
Format: Article
Language:English
Published: BMC 2024-01-01
Series:Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
Subjects:
Machine learning
Artificial intelligence
Emergency department
Implementation
Risk stratification
Prediction
Online Access:https://doi.org/10.1186/s13049-024-01177-2

Internet

https://doi.org/10.1186/s13049-024-01177-2

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