Early detection of bloodstream infection in critically ill children using artificial intelligence
Background Despite the high mortality associated with bloodstream infection (BSI), early detection of this condition is challenging in critical settings. The objective of this study was to create a machine learning tool for rapid recognition of BSI in critically ill children. Methods Data were extra...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Korean Society of Critical Care Medicine
2024-11-01
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| Series: | Acute and Critical Care |
| Subjects: | |
| Online Access: | http://www.accjournal.org/upload/pdf/acc-2024-00752.pdf |
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