An intelligent scoring system and its application to cardiac arrest prediction

• المؤلفون الرئيسيون: Liu, Nan, Lin, Zhiping, Cao, Jiuwen, Koh, Zhixiong, Zhang, Tongtong, Huang, Guang-Bin, Ser, Wee, Ong, Marcus Eng Hock
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2013
• الموضوعات: DRNTU::Science::Medicine::Biomedical engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/102551; http://hdl.handle.net/10220/16465

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...