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

Elizabeth A Swedo, Alen Alic,Royal K Law,Steven A Sumner,May S Chen,Marissa L Zwald,Miriam E Van Dyke,Daniel A Bowen,James A Mercy

JAMA network open（2023）

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摘要

In this prognostic study of diverse secondary data on machine learning, ensemble modeling produced accurate near real-time estimates of weekly and annual firearm homicides and substantially decreased data source time lags. Ensemble model forecasts can accelerate public health practitioners' and policy makers' ability to respond to unanticipated shifts in firearm homicides.

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us firearm homicides,machine learning model,machine learning,real time

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