Emergency department triage prediction of clinical outcomes using machine learning models

Emergency department triage prediction of clinical outcomes using machine learning models

Abstract Background Development of emergency department (ED) triage systems that accurately differentiate and prioritize critically ill from stable patients remains challenging. We used machine learning models to predict clinical outcomes, and then compared their performance with that of a conventio...

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Bibliographic Details
Main Authors: Yoshihiko Raita, Tadahiro Goto, Mohammad Kamal Faridi, David F. M. Brown, Carlos A. Camargo, Kohei Hasegawa
Format: Article
Language:English
Published: BMC 2019-02-01
Series:Critical Care
Subjects:
Triage
Emergency department
Prediction
Machine learning
Mortality
Critical care
Online Access:http://link.springer.com/article/10.1186/s13054-019-2351-7

Internet

http://link.springer.com/article/10.1186/s13054-019-2351-7

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