Login / Signup

The Sydney Triage to Admission Risk Tool (START2) using machine learning techniques to support disposition decision-making.

Kathryn RendellIrena KoprinskaAndre Z KymeAnja A Ebker-WhiteMichael M Dinh
Published in: Emergency medicine Australasia : EMA (2018)
Machine learning methods demonstrate similar performance to logistic regression for ED disposition prediction models using basic triage information. This should be investigated further, especially for larger data sets with more complex clinical information.
Keyphrases
  • emergency department
  • machine learning
  • decision making
  • big data
  • health information
  • electronic health record
  • artificial intelligence
  • healthcare
  • mass spectrometry