Ontology highlight
ABSTRACT:
SUBMITTER: Liu Y
PROVIDER: S-EPMC8674324 | biostudies-literature | 2021 Dec
REPOSITORIES: biostudies-literature
Liu Yecheng Y Gao Jiandong J Liu Jihai J Walline Joseph Harold JH Liu Xiaoying X Zhang Ting T Wu Yunyang Y Wu Ji J Zhu Huadong H Zhu Weiguo W
Scientific reports 20211215 1
Identifying critically ill patients is a key challenge in emergency department (ED) triage. Mis-triage errors are still widespread in triage systems around the world. Here, we present a machine learning system (MLS) to assist ED triage officers better recognize critically ill patients and provide a text-based explanation of the MLS recommendation. To derive the MLS, an existing dataset of 22,272 patient encounters from 2012 to 2019 from our institution's electronic emergency triage system (EETS) ...[more]