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
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Shamir N Mukhi   1 , PhD ;   Steven R McFaull   2 , MSc ;   Wendy Thompson   2 , MSc ;   Tim Beattie   1 , MSc

1 Canadian Network for Public Health Intelligence, Public Health Agency of Canada, Edmonton, AB, Canada

2 Canadian Hospitals Injury Reporting and Prevention Program, Centre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, ON, Canada

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