Leveraging graph neural networks for supporting Automatic Triage of Patients

arXiv:2403.07038v1 Announce Type: new
Abstract: Patient triage plays a crucial role in emergency departments, ensuring timely and appropriate care based on correctly evaluating the emergency grade of patient conditions.
Triage methods are generally performed by human operator based on her own experience and information that are gathered from the patient management process.
Thus, it is a process that can generate errors in emergency level associations. Recently, Traditional triage methods heavily rely on human decisions, which can be subjective and prone …

abstract arxiv cs.lg emergency experience graph graph neural networks her human information networks neural networks patient patients role type