Risk assessment and prediction of nosocomial infections based on surveillance data using machine learning methods
Abstract Background Nosocomial infections with heavy disease burden are becoming a major threat to the health care system around the world. Through long-term, systematic, continuous data collection and analysis, Nosocomial infection surveillance (NIS) systems are constructed in each hospital; while...
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| Main Authors: | , , , , , , , , , |
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| Format: | Book |
| Published: |
BMC,
2024-07-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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