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Machine learning analysis of handgun transactions to predict firearm suicide risk

07.11.22 | JAMA Network

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About The Study: Researchers examined whether a statewide database of handgun transaction records, coupled with machine learning techniques, can be used to forecast firearm suicide risk.

Authors: Hannah S. Laqueur, Ph.D., M.A., M.P.A., of the University of California, Davis, in Sacramento, is the corresponding author.

To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/

(doi:10.1001/jamanetworkopen.2022.21041)

Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.

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How to Cite This Article

APA:
JAMA Network. (2022, July 11). Machine learning analysis of handgun transactions to predict firearm suicide risk. Brightsurf News. https://www.brightsurf.com/news/1EOY2EOL/machine-learning-analysis-of-handgun-transactions-to-predict-firearm-suicide-risk.html
MLA:
"Machine learning analysis of handgun transactions to predict firearm suicide risk." Brightsurf News, Jul. 11 2022, https://www.brightsurf.com/news/1EOY2EOL/machine-learning-analysis-of-handgun-transactions-to-predict-firearm-suicide-risk.html.