Real-time prediction of cardiorespiratory deterioration during paediatric critical care transport using interpretable machine learning
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Interhospital transport of critically ill children carries inherent risks, including unexpected respiratory and cardiovascular deterioration. Early warning of impending patient deterioration may allow physicians to intervene and prevent further decline. We dev... ...
