Document Type

Conference Proceeding

Publication Date

2022

Publisher

AHFE International

Abstract

Creating safe work environment is significant in saving workers’ lives, improving corporates’ social responsibility and sustainable development. Pattern identification in occupational accidents is vital in elaborating efficient safety counter-measures aiming at improving prevention and mitigating outcomes of future incidents. The objective of this study is to identify patterns related to the occurrence of occupational accidents in non-farm agricultural work environments based on workers’ compensation claims data, using latent class clustering method as an un-supervised machine learning modeling approach. The result showed injury profiles and incident dynamics have low, average, and high levels of risks based on the main causes and outcomes of the injuries and the affected body part(s).

Editor

Tareq Ahram
Waldemar Karwowski
Pepetto Di Bucchianico
Redha Taiar
Luca Casarotto
Pietro Costa

Comments

Published in the proceedings of the 5th International Conference on Intelligent Human Systems Integration (IHSI2022),22-24 February 2022, Venice, Italy

The authors of papers published in the AHFE Open Access Proceedings will retain full copyrights as specified by the provisions of the Creative Commons: http://creativecommons.org/licenses/by/4.0/

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