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...
| Publicado en: | Emergency Medicine Australasia Vol. 31; no. 3; pp. 429 - 436 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Jun2019
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| Acceso en línea: | Ver este registro en EBSCOhost |