Work

Pediatric firearm risk prediction in trauma centers and after discharge: A machine learning analysis

Year: 2026

Type: article

Study design: Observational Study

Source: Journal of Pediatric Surgery

DOI: 10.1016/j.jpedsurg.2026.163089

Authors: Craig D. Newgard, Sean Babcock, Amber Lin, Susan Malveau, Jason E. Goldstick, Patrick M. Carter, Jennifer N.B. Cook, Apoorva Salvi, Ran Wei, Mary E. Fallat, Nathan Kuppermann, Peter C. Jenkins, N. Clay Mann, Ximena Nava Diaz, Andrea M. Lundrigan, Rylee Beckstead, Berhane Hagos, Xubo Song

Institutions: Oregon Health & Science University, University of California, San Francisco, University of Michigan, Michigan Medicine, University of California, Riverside, University of Louisville, Kosair Children's Hospital, Norton Hospital, Children's National, George Washington University, Indiana University Indianapolis, Indiana University School of Medicine, University of Utah, Oregon State University, University of California, Irvine

Language: English

Topic: Gun Ownership and Violence Research

Subfield: Health

Field: Social Sciences

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: Eunice Kennedy Shriver National Institute of Child Health and Human Development

Award: G133364730

OpenAlex ID: W7140855291

FWCI:

Cites: 38

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