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

Objective: To further develop and refine an Emergency Department (ED) in‐patient admission prediction model using machine learning techniques. Methods: This was a retrospective analysis of state‐wide ED data from New South Wales, Australia. Six classification algorithms (Bayesian networks, decision...

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Bibliographic Details

Published in:	Emergency Medicine Australasia Vol. 31; no. 3; pp. 429 - 436
Main Authors:	Rendell, Kathryn, Koprinska, Irena, Kyme, Andre, Ebker‐White, Anja A, Dinh, Michael M
Format:	research tables/charts Journal Article
Published:	Wiley-Blackwell Jun2019
Online Access:	View this record in EBSCOhost