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

• 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: 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
• Institution: Nanyang Technological University

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...