A machine-learning prediction model to identify risk of firearm injury using electronic health records data.

Hui ZhouClaudia NauFagen XieRichard ContrerasDeborah Ling GrantSonya NegriffMargo SidellCorinna KoebnickRulin Hechter

Published in: Journal of the American Medical Informatics Association : JAMIA (2024)

Our model can support more targeted screening in healthcare settings, resulting in improved efficiency of firearm injury risk assessment and prevention efforts.

Keyphrases

electronic health record
machine learning
risk assessment
healthcare
clinical decision support
adverse drug
big data
heavy metals
cancer therapy
quality improvement
deep learning