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...

وصف كامل

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Liu, Nan, Sakamoto, Jeffrey Tadashi, Cao, Jiuwen, Koh, Zhi Xiong, Ho, Andrew Fu Wah, Lin, Zhiping, Ong, Marcus Eng Hock
مؤلفون آخرون: School of Electrical and Electronic Engineering
التنسيق: Journal Article
اللغة:English
منشور في: 2018
الموضوعات:
Extreme Learning Machine
Ensemble Learning
الوصول للمادة أونلاين:https://hdl.handle.net/10356/86898
http://hdl.handle.net/10220/44244

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