Development of a Machine Learning Model to Estimate US Firearm Homicides in Near Real Time

IMPORTANCE: Firearm homicides are a major public health concern; lack of timely mortality data presents considerable challenges to effective response. Near real-time data sources offer potential for more timely estimation of firearm homicides. OBJECTIVE: To estimate near real-time burden of weekly a...

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Detalles Bibliográficos
Autores principales: Swedo, Elizabeth A., Alic, Alen, Law, Royal K., Sumner, Steven A., Chen, May S., Zwald, Marissa L., Van Dyke, Miriam E., Bowen, Daniel A., Mercy, James A.
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/PMC10024196/
https://www.ncbi.nlm.nih.gov/pubmed/36930150
http://dx.doi.org/10.1001/jamanetworkopen.2023.3413

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024196/
https://www.ncbi.nlm.nih.gov/pubmed/36930150
http://dx.doi.org/10.1001/jamanetworkopen.2023.3413

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