Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection

Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection

Background The key aim of triage in chest pain patients is to identify those with high risk of adverse cardiac events as they require intensive monitoring and early intervention. In this study, we aim to discover the most relevant variables for risk prediction of major adverse cardiac events (MACE)...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Liu, Nan, Koh, Zhi Xiong, Goh, Junyang, Lin, Zhiping, Haaland, Benjamin, Ting, Boon Ping, Ong, Marcus Eng Hock
Weitere Verfasser: School of Electrical and Electronic Engineering
Format: Journal Article
Sprache:English
Veröffentlicht: 2014
Schlagworte:
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Online Zugang:https://hdl.handle.net/10356/102512
http://hdl.handle.net/10220/24264

Online

https://hdl.handle.net/10356/102512
http://hdl.handle.net/10220/24264

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