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.

Journal: Scandinavian journal of trauma, resuscitation and emergency medicine
PMID: 38263188

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 trial to investigate the clinical impact of a prediction model based on machine learning (ML) technology.

Authors

  • Paul M E L van Dam
    Department of Internal Medicine, Division of General Internal Medicine, Section Acute Medicine, Maastricht University Medical Center +, PO Box 5800, Maastricht, 6202 AZ, The Netherlands. paul.van.dam@mumc.nl.
  • William P T M van Doorn
    CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands.
  • Floor van Gils
    Department of Internal Medicine, Division of General Internal Medicine, Section Acute Medicine, Maastricht University Medical Center +, PO Box 5800, Maastricht, 6202 AZ, The Netherlands.
  • Lotte Sevenich
    Department of Internal Medicine, Division of General Internal Medicine, Section Acute Medicine, Maastricht University Medical Center +, PO Box 5800, Maastricht, 6202 AZ, The Netherlands.
  • Lars Lambriks
    Department of Internal Medicine, Division of General Internal Medicine, Section Acute Medicine, Maastricht University Medical Center +, PO Box 5800, Maastricht, 6202 AZ, The Netherlands.
  • Steven J R Meex
    CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands.
  • Jochen W L Cals
    Universiteit Maastricht, Care and Public Health Research Institute, vakgroep Huisartsgeneeskunde, Maastricht.
  • Patricia M Stassen
    Division of General Internal Medicine, Section Acute Medicine, Department of Internal Medicine, Maastricht University Medical Centre, Maastricht University, Maastricht, The Netherlands.

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