An intelligent scoring system and its application to cardiac arrest prediction

• Main Authors: Liu, Nan, Lin, Zhiping, Cao, Jiuwen, Koh, Zhixiong, Zhang, Tongtong, Huang, Guang-Bin, Ser, Wee, Ong, Marcus Eng Hock
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2013
• Subjects: DRNTU::Science::Medicine::Biomedical engineering
• Online Access: https://hdl.handle.net/10356/102551; http://hdl.handle.net/10220/16465
• Institution: Nanyang Technological University

Traditional risk score prediction is based on vital signs and clinical assessment. In this paper, we present an intelligent scoring system for the prediction of cardiac arrest within 72 h. The patient population is represented by a set of feature vectors, from which risk scores are derived based on...