Alerting on mortality among patients discharged from the emergency department: a machine learning model.

Yiftach BarashShelly SofferEhud GrossmanNoam TauVera SorinEyal BenDavidAvinoah IronyEli KonenEyal ZimlichmanEyal Klang

Published in: Postgraduate medical journal (2020)

Although not frequent, patients may die following ED discharge. Machine learning-based tools may help ED physicians identify patients at risk. An optimised decision for hospitalisation or palliative management may improve patient care and system resource allocation.

Keyphrases

emergency department
machine learning
end stage renal disease
newly diagnosed
ejection fraction
primary care
prognostic factors
artificial intelligence
type diabetes
coronary artery disease
drug induced