Joyce Tay, Yi-Hsuan Yen, Kevin Rivera, Eric H Chou, Chih-Hung Wang, Fan-Ya Chou, Jen-Tang Sun, Shih-Tsung Han, Tzu-Ping Tsai, Yen-Chia Chen, Toral Bhakta, Chu-Lin Tsai, Tsung-Chien Lu, Matthew Huei-Ming Ma
INTRODUCTION: Timely diagnosis of patients affected by an emerging infectious disease plays a crucial role in treating patients and avoiding disease spread. In prior research, we developed an approach by using machine learning (ML) algorithms to predict serious acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection based on clinical features of patients visiting an emergency department (ED) during the early coronavirus 2019 (COVID-19) pandemic. In this study, we aimed to externally validate this approach within a distinct ED population...
January 2024: Western Journal of Emergency Medicine