Development of continuous warning system for timely prediction of septic shock

Development of continuous warning system for timely prediction of septic shock

As delayed treatment of septic shock can lead to an irreversible health state, timely identification of septic shock holds immense value. While numerous approaches have been proposed to build early warning systems, these approaches primarily focus on predicting the future risk of septic shock, irres...

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Bibliographic Details
Main Authors: Gyumin Kim, Sung Woo Lee, Su Jin Kim, Kap Su Han, Sijin Lee, Juhyun Song, Hyo Kyung Lee
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Physiology
Subjects:
early warning system
machine learning
sepsis
septic shock
artificial intelligence
time-series
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2024.1389693/full
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