Towards real-time diagnosis for pediatric sepsis using graph neural network and ensemble methods.
Journal:
European review for medical and pharmacological sciences
Published Date:
Jul 1, 2021
Abstract
OBJECTIVE: The rapid onset of pediatric sepsis and the short optimal time for resuscitation pose a severe threat to children's health in the ICU. Timely diagnosis and intervention are essential to curing sepsis, but there is a lack of research on the prediction of sepsis at shorter time intervals. This study proposes a predictive model towards real-time diagnosis of sepsis to help reduce the time to first antibiotic treatment.