Interoperable and explainable machine learning models to predict morbidity and mortality in acute neurological injury in the pediatric intensive care unit: secondary analysis of the TOPICC study
BackgroundAcute neurological injury is a leading cause of permanent disability and death in the pediatric intensive care unit (PICU). No predictive model has been validated for critically ill children with acute neurological injury.ObjectivesWe hypothesized that PICU patients with concern for acute...
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| Main Authors: | , , , , |
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| Format: | Book |
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Frontiers Media S.A.,
2023-06-01T00:00:00Z.
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A1234.567 |
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