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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Main Authors: | Jeesu Kim, Geun-Hyeong Kim, Jae-Woo Kim, Ka Hyun Kim, Jae-Young Maeng, Yong-Goo Shin, Seung Park |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-01-01
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Series: | Frontiers in Medicine |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2024.1473533/full |
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