Transformer-based model for predicting length of stay in intensive care unit in sepsis patients

Transformer-based model for predicting length of stay in intensive care unit in sepsis patients

IntroductionSepsis, a life-threatening condition with a high mortality rate, requires intensive care unit (ICU) admission. The increasing hospitalization rate for patients with sepsis has escalated medical costs due to the strain on ICU resources. Efficient management of ICU resources is critical to...

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Bibliographic Details
Main Authors: Jeesu Kim, Geun-Hyeong Kim, Jae-Woo Kim, Ka Hyun Kim, Jae-Young Maeng, Yong-Goo Shin, Seung Park
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Medicine
Subjects:
sepsis
intensive care unit
length of stay
sequential organ failure assessment
transformer
tabular data
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2024.1473533/full
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