Use of Machine Learning to Predict Hospital Admission for EMS-Treated Infants After a Suspected BRUE

20260 citationsJournal Article

Authors

Jake Toy · Los Angeles County Museum of Art

Ilene Claudius · University of California, Los Angeles

Marianne Gausche‐Hill · University of California, Los Angeles

Phung K. Pham · University of California, Los Angeles

Todd Chang · Children's Hospital of Los Angeles

Mohsen Saidinejad · University of California, Los Angeles

Abstract

The applied ML models demonstrated good predictive performance for hospital admission for EMS-treated infants with a paramedic suspected BRUE. ML and statistical models had similar predictive performance.

Topics & Keywords

Neonatal Respiratory Health Research Neonatal and fetal brain pathology Congenital Heart Disease Studies

Publication Details

Published in: Pediatric Emergency Care

DOI: 10.1097/pec.0000000000003572

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Use of Machine Learning to Predict Hospital Admission for EMS-Treated Infants After a Suspected BRUE

Authors

Abstract

Topics & Keywords

Publication Details