Classifying Firearm Injury Intent in Electronic Hospital Records Using Natural Language Processing

IMPORTANCE: International Classification of Diseases–coded hospital discharge data do not accurately reflect whether firearm injuries were caused by assault, unintentional injury, self-harm, legal intervention, or were of undetermined intent. Applying natural language processing (NLP) and machine le...

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Detalles Bibliográficos
Autores principales: MacPhaul, Erin, Zhou, Li, Mooney, Stephen J., Azrael, Deborah, Bowen, Andrew, Rowhani-Rahbar, Ali, Yenduri, Ravali, Barber, Catherine, Goralnick, Eric, Miller, Matthew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2023
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080369/
https://www.ncbi.nlm.nih.gov/pubmed/37022685
http://dx.doi.org/10.1001/jamanetworkopen.2023.5870

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080369/
https://www.ncbi.nlm.nih.gov/pubmed/37022685
http://dx.doi.org/10.1001/jamanetworkopen.2023.5870

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