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