Using machine-learning risk prediction models to triage the acuity of undifferentiated patients entering the emergency care system: a systematic review.

Jamie MilesJanette TurnerRichard JacquesJulia WilliamsSuzanne Mason

Published in: Diagnostic and prognostic research (2020)

This systematic review is registered on the International prospective register of systematic reviews (PROSPERO) and can be accessed online at the following URL: https://www.crd.york.ac.uk/PROSPERO/display_record.php?ID=CRD42020168696This study was funded by the NIHR as part of a Clinical Doctoral Research Fellowship.

Keyphrases

systematic review
emergency department
meta analyses
end stage renal disease
healthcare

ejection fraction
newly diagnosed
palliative care
chronic kidney disease
public health

peritoneal dialysis
social media
randomized controlled trial
patient reported outcomes

cross sectional
pain management
health information
emergency medicine