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)...

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Bibliografski detalji
Glavni autori: Liu, Nan, Koh, Zhi Xiong, Goh, Junyang, Lin, Zhiping, Haaland, Benjamin, Ting, Boon Ping, Ong, Marcus Eng Hock
Daljnji autori: School of Electrical and Electronic Engineering
Format: Journal Article
Jezik:English
Izdano: 2014
Teme:
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Online pristup:https://hdl.handle.net/10356/102512
http://hdl.handle.net/10220/24264

Internet

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

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