Clinical Timing-Sequence Warning Models for Serious Bacterial Infections in Adults Based on Machine Learning: Retrospective Study
BackgroundSerious bacterial infections (SBIs) are linked to unplanned hospital admissions and a high mortality rate. The early identification of SBIs is crucial in clinical practice. ObjectiveThis study aims to establish and validate clinically applicable models designed to identify SBIs in patients...
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Main Authors: | , , , , , , , , |
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Format: | Book |
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JMIR Publications,
2023-12-01T00:00:00Z.
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A1234.567 |
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