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

Autor: 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

Publikováno v: Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, Vol 32, Iss 1, Pp 1-7 (2024)

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

Externí odkaz: https://doaj.org/article/81bfcb8f14514d02bfc6b145725147a8

[Too little attention for overdiagnosis?]

Autor: Cals JWL; Universiteit Maastricht, Vakgroep huisartsgeneeskunde, Care and Public Health Research Institute (CAPHRI), Maastricht.; Contact: Jochen W.L. Cals (j.cals@maastrichtuniversity.nl)., Jansen J; Universiteit Maastricht, Vakgroep huisartsgeneeskunde, Care and Public Health Research Institute (CAPHRI), Maastricht.

Publikováno v: Nederlands tijdschrift voor geneeskunde [Ned Tijdschr Geneeskd] 2021 Sep 13; Vol. 165. Date of Electronic Publication: 2021 Sep 13.