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SCCMPod-442 Continuous Prediction of Mortality in the PICU: A Recurrent Neural Network Model in a Single-Center Dataset

SCCMPod-442 Continuous Prediction of Mortality in the PICU: A Recurrent Neural Network Model in a Single-Center Dataset

Released Thursday, 2nd September 2021
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SCCMPod-442 Continuous Prediction of Mortality in the PICU: A Recurrent Neural Network Model in a Single-Center Dataset

SCCMPod-442 Continuous Prediction of Mortality in the PICU: A Recurrent Neural Network Model in a Single-Center Dataset

SCCMPod-442 Continuous Prediction of Mortality in the PICU: A Recurrent Neural Network Model in a Single-Center Dataset

SCCMPod-442 Continuous Prediction of Mortality in the PICU: A Recurrent Neural Network Model in a Single-Center Dataset

Thursday, 2nd September 2021
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As a proof of concept, a recurrent neural network (RNN) model was developed using electronic medical record (EMR) data capable of continuously assessing a child's risk of mortality throughout an ICU stay as a proxy measure of illness severity.

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iCritical Care: Pediatric Critical Care Medicine

This channel is now the SCCM Podcast. This channel will no longer be updated. For more information and to subscribe to the SCCM Podcast, visit sccm.org/podcast. The Society of Critical Care Medicine (SCCM) Podcast features in-depth interviews with leaders in critical care. Experts discuss hot topics in intensive care with perspectives from all members of the critical care team. Guests include authors from SCCM's peer-reviewed journals, Critical Care Medicine, Pediatric Critical Care Medicine, and Critical Care Explorations, as well as thought leaders within the field.

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