Using iterative random forest to find geospatial environmental and Sociodemographic predictors of suicide attempts

Using iterative random forest to find geospatial environmental and Sociodemographic predictors of suicide attempts

IntroductionDespite a recent global decrease in suicide rates, death by suicide has increased in the United States. It is therefore imperative to identify the risk factors associated with suicide attempts to combat this growing epidemic. In this study, we aim to identify potential risk factors of su...

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Bibliographic Details
Main Authors: Mirko Pavicic, Angelica M. Walker, Kyle A. Sullivan, John Lagergren, Ashley Cliff, Jonathon Romero, Jared Streich, Michael R. Garvin, John Pestian, Benjamin McMahon, David W. Oslin, Jean C. Beckham, Nathan A. Kimbrel, Daniel A. Jacobson
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Psychiatry
Subjects:
suicide prevention
explainable artificial intelligence
geospatial analysis
public health
veterans’ health
firearms
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2023.1178633/full

Internet

https://www.frontiersin.org/articles/10.3389/fpsyt.2023.1178633/full

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