Machine learning classification of new firearm injury encounters in the St Louis region: 2010-2020

Abstract Objectives To improve firearm injury encounter classification (new vs follow-up) using machine learning (ML) and compare our ML model to other common approaches. Materials and Methods This retrospective study used data from the St Louis region-wide hospital-based violence intervention progr...

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Veröffentlicht in:	Journal of the American Medical Informatics Association : JAMIA 2024-10, Vol.31 (10), p.2165-2172
Hauptverfasser:	Ancona, Rachel M, Cooper, Benjamin P, Foraker, Randi, Kaser, Taylor, Adeoye, Opeolu, Mueller, Kristen L
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Emergency Service, Hospital Female Firearms - classification Humans Machine Learning Male Missouri Retrospective Studies Wounds, Gunshot - classification
Online-Zugang:	Volltext
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