Examining the Efficacy of Large Language Models for Injury Surveillance
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Published online on July 09, 2025
Abstract
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Volume 69, Issue 1, Page 1662-1664, September 2025.
Accurate and efficient injury coding is critical for effective injury surveillance. Machine learning (ML) models trained on manually-coded historical injury records have been used to predict the injury codes efficiently and with reasonable accuracy but ...
Accurate and efficient injury coding is critical for effective injury surveillance. Machine learning (ML) models trained on manually-coded historical injury records have been used to predict the injury codes efficiently and with reasonable accuracy but ...