Use of Machine Learning to Predict Hospital Admission for EMS-Treated Infants After a Suspected BRUE
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.
Authors
- Marianne Gausche‐Hill (ORCID: https://orcid.org/0000-0002-6367-8455)
- Phung K. Pham (ORCID: https://orcid.org/0000-0003-4766-8166)
- Jake Toy (ORCID: https://orcid.org/0000-0002-0089-5495)
- Mohsen Saidinejad (ORCID: https://orcid.org/0000-0002-4782-0597)
- Todd Chang
Institutions
- Los Angeles County Museum of Art (US)
- Children's Hospital of Los Angeles (US)
- University of California, Los Angeles (US)
- Harbor–UCLA Medical Center (US)
Publication Details
- Journal
- Pediatric Emergency Care
- Published
- 2026-02-09
- DOI
- https://doi.org/10.1097/pec.0000000000003572
- Primary Topic
- Neonatal Respiratory Health Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00