Early detection of sepsis using machine learning algorithms
In the intensive care unit (ICU), bedside surveillance data can appropriately predict the onset of sepsis, probably saving lives and lowering costs by permitting early intervention. Sepsis triggers a complicated immune reaction to pathogenic microbes, which frequently leads to septic shock and organ...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
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| Series: | Alexandria Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016824011591 |
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