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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Xehetasun bibliografikoak
Egile Nagusiak: Liu, Nan, Koh, Zhi Xiong, Goh, Junyang, Lin, Zhiping, Haaland, Benjamin, Ting, Boon Ping, Ong, Marcus Eng Hock
Beste egile batzuk: School of Electrical and Electronic Engineering
Formatua: Journal Article
Hizkuntza:English
Argitaratua: 2014
Gaiak:
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Sarrera elektronikoa: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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