Early Prediction of Sepsis in the Intensive Care Unit Using the GRU-D-MGP-TCN Model

Early Prediction of Sepsis in the Intensive Care Unit Using the GRU-D-MGP-TCN Model

Sepsis is a life-threatening condition with significant risk to individuals, most prevalent in intensive care units (ICUs). Early diagnosis and prompt treatment are crucial to reducing sepsis-related mortality. Research on developing an artificial intelligence-based clinical decision support system...

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Bibliographic Details
Main Authors: Seunghee Lee, Geonchul Shin, Jeongseok Hwang, Yunjeong Hwang, Hyunwoo Jang, Ju Han Park, Sunmi Han, Kyeongmin Ryu, Jong-Yeup Kim
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
GRU-D
intensive care unit
MGP-TCN
sepsis
Online Access:https://ieeexplore.ieee.org/document/10701306/
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https://ieeexplore.ieee.org/document/10701306/

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