Article info
PDFOriginal research
Understanding the circumstances of paediatric fall injuries: a machine learning analysis of NEISS narratives
- Correspondence to Elise Omaki, Center for Injury Research and Policy, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21218, Maryland, USA; eperry{at}jhu.edu
Citation
Understanding the circumstances of paediatric fall injuries: a machine learning analysis of NEISS narratives
Publication history
- Received January 20, 2023
- Accepted June 9, 2023
- First published June 30, 2023.
Online issue publication
September 26, 2023
Request permissions
If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.
Copyright information
© Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ.