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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

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

Published Online: 2024-01-23

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

van Dam, Paul M.E.L. https://orcid.org/0000-0002-5172-2500
van Doorn, William P.T.M. https://orcid.org/0000-0003-2676-7448
van Gils, Floor

Sevenich, Lotte https://orcid.org/0009-0000-8770-0402
Lambriks, Lars https://orcid.org/0000-0002-7633-6243
Meex, Steven J.R. https://orcid.org/0000-0001-8147-9006
Cals, Jochen W.L. https://orcid.org/0000-0001-9550-5674
Stassen, Patricia M. https://orcid.org/0000-0003-0864-1542
License Information

Text and Data Mining valid from 2024-01-23

Version of Record valid from 2024-01-23
More Information

Article History

Received: 31 October 2023

Accepted: 9 January 2024

First Online: 23 January 2024

Declarations

:

: This study has been approved by the medical ethical committee of the MUMC+ (METC 21–068). Written informed consent was obtained from all participants.

: Not applicable.

: The authors declare that they have no competing interests.

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