Development and validation of an explainable machine learning model for predicting prognosis in sepsis patients with a history of cancer who were admitted to the intensive care unit
Background Sepsis is the leading cause of mortality in critically ill cancer patients; however, traditional prognostic models fail to capture the complexity of their immune and physiological interactions. Methods This retrospective study analyzed electronic health records from the Medical Informatio...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-08-01
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| Series: | Journal of International Medical Research |
| Online Access: | https://doi.org/10.1177/03000605251362991 |
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