Last Updated: 09/26/2026
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Found 9 publications
Explaining alerts from a pediatric risk prediction model using clinical text.
Journal: Journal of the American Medical Informatics Association : JAMIA
Published: March 04, 2025
Interoperable Models for Identifying Critically Ill Children at Risk of Neurologic Morbidity.
Journal: JAMA network open
Published: February 04, 2025
Development, External Validation, and Biomolecular Corroboration of Interoperable Models for Identifying Critically Ill Children at Risk of Neurologic Morbidity.
Journal: medRxiv : the preprint server for health sciences
Published: October 07, 2024
Machine Learning, Predicting Future Hospitalizations, and the Importance of Perception.
Journal: Hospital pediatrics
Published: April 24, 2023
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.
Journal: Frontiers in pediatrics
Published: March 01, 2023
Limbic pathway vulnerability associates with neurologic outcome in children after cardiac arrest.
Journal: Resuscitation
Published: September 02, 2022
Quantitative Electroencephalography (EEG) Predicting Acute Neurologic Deterioration in the Pediatric Intensive Care Unit: A Case Series.
Journal: Journal of child neurology
Published: November 24, 2021
New Cluster of Acute Flaccid Myelitis in Western Pennsylvania.
Journal: Annals of emergency medicine
Published: November 11, 2018
Pericarditis as the Presenting Feature of Graves Disease in a Pediatric Patient.
Journal: Pediatric emergency care
Published: July 17, 2015
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Last Updated: 09/26/2026