Prediction of ICU needs and organ failures in infectious patients using machine learning
Summary: This retrospective multicenter cohort study developed predictive models to identify patients at high risk for intensive care and major organ failure, using data from the First Affiliated Hospital of Xiamen University and the MIMIC-III/IV databases. A total of 18,689 infectious patients were...
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| Hauptverfasser: | , , , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Elsevier
2025-12-01
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| Schriftenreihe: | iScience |
| Schlagworte: | |
| Online-Zugang: | http://www.sciencedirect.com/science/article/pii/S2589004225024034 |
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