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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Principais autores:	Jeesu Kim, Geun-Hyeong Kim, Jae-Woo Kim, Ka Hyun Kim, Jae-Young Maeng, Yong-Goo Shin, Seung Park
Formato:	Artigo
Idioma:	Inglês
Publicado:	Frontiers Media S.A. 2025-01-01
Series:	Frontiers in Medicine
Assuntos:	sepsis intensive care unit length of stay sequential organ failure assessment transformer tabular data
Acceso en liña:	https://www.frontiersin.org/articles/10.3389/fmed.2024.1473533/full
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