This paper is in the following e-collection/theme issue:

Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (88) Ontologies, Classifications, and Coding (331) Public Health Informatics (136) Surveillance Systems (515) Knowledge Translation and Implementation Science (519) Injury Surveillance (44)

Published on in Vol 17 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69143, first published .
Application of Machine Learning to Auto-Code Injury Data in the e-CHIRPP System: Development and Evaluation Study

Application of Machine Learning to Auto-Code Injury Data in the e-CHIRPP System: Development and Evaluation Study

Application of Machine Learning to Auto-Code Injury Data in the e-CHIRPP System: Development and Evaluation Study

Authors of this article:

Shamir N Mukhi1 Author Orcid Image ;   Steven R McFaull2 Author Orcid Image ;   Wendy Thompson2 Author Orcid Image ;   Tim Beattie1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually