Benchmarking emergency department prediction models with machine learning and public electronic health records

• المؤلفون الرئيسيون: Xie, Feng, Zhou, Jun, Lee, Jin Wee, Tan, Mingrui, Li, Siqi, Logasan S/O Rajnthern, Chee, Marcel Lucas, Chakraborty, Bibhas, Wong, An-Kwok Ian, Dagan, Alon, Ong, Marcus Eng Hock, Gao, Fei, Liu, Nan
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Electrical and electronic engineering; Machine Learning; Electronic Health Records
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/171029

The demand for emergency department (ED) services is increasing across the globe, particularly during the current COVID-19 pandemic. Clinical triage and risk assessment have become increasingly challenging due to the shortage of medical resources and the strain on hospital infrastructure caused by t...