Predicting Firefighter Injury and Entrapment in Urban Firefighting Operations: An Investigation Into the Effectiveness of Modified Fire Time Stages and Machine Learning

ABSTRACT Background and Aims Urban fires pose a significant threat in terms of property damage and potential loss of life. Firefighters play an important role in managing these incidents, so their safety is a top priority for fire departments and emergency responders. The purpose of this study is to...

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Bibliographic Details

Published in:	Health Science Reports
Main Authors:	Mohammad Mahdi Barati Jozan, Hamed Khosravi, Aynaz Lotfata, Krzysztof J. Cios, Hamed Tabesh
Format:	Article
Language:	English
Published:	Wiley 2025-03-01
Subjects:	firefighters injuries and entrapment machine learning predictive modeling safety
Online Access:	https://doi.org/10.1002/hsr2.70327