Studies from Xiamen University Reveal New Findings on Sepsis (The Treatment of Sepsis: an Episodic Memory-assisted Deep Reinforcement Learning Approach).
In: Blood Weekly, 2024-06-13, S. 629-629
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Zugriff:
A report from Xiamen University in China discusses new research findings on the treatment of sepsis, a major cause of death and healthcare burden in intensive care units worldwide. The researchers propose an efficient deep reinforcement learning (DRL) model with episodic control for sepsis dosing treatment. This model utilizes past treatment policies from memory to optimize the current policy, improving data utilization and achieving significant improvements in model performance. The research was conducted on a sub-dataset of 17,898 septic patients and has been peer-reviewed. [Extracted from the article]
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Studies from Xiamen University Reveal New Findings on Sepsis (The Treatment of Sepsis: an Episodic Memory-assisted Deep Reinforcement Learning Approach).
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Zeitschrift: | Blood Weekly, 2024-06-13, S. 629-629 |
Veröffentlichung: | 2024 |
Medientyp: | serialPeriodical |
ISSN: | 1065-6073 (print) |
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