Ensemble-Based Risk Scoring with Extreme Learning Machine for Prediction of Adverse Cardiac Events

Ensemble-Based Risk Scoring with Extreme Learning Machine for Prediction of Adverse Cardiac Events

Accurate prediction of adverse cardiac events for the emergency department (ED) chest pain patients is essential in risk stratification due to the current ambiguity in diagnosing acute coronary syndrome. While most current practices rely on human decision by measuring clinical vital signs, computeri...

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Bibliographic Details
Main Authors: Liu, Nan, Sakamoto, Jeffrey Tadashi, Cao, Jiuwen, Koh, Zhi Xiong, Ho, Andrew Fu Wah, Lin, Zhiping, Ong, Marcus Eng Hock
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2018
Subjects:
Extreme Learning Machine
Ensemble Learning
Online Access:https://hdl.handle.net/10356/86898
http://hdl.handle.net/10220/44244

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