Use of Artificial Neural Networks (ANNs) for the Analysis and Modeling of Factors That Affect Occupational Injuries in Large Construction Industries
Introduction: Occupational injuries as a workforce’s health problem are very important in large-scale workplaces. Analysis and modeling the health-threatening factors are good ways to promote the workforce’s health and a fundamental step in developing health programs. The purpose of this study was...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Electronic Physician
2015-11-01
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| Series: | Electronic Physician |
| Subjects: | |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4700899/ |
| Summary: | Introduction: Occupational injuries as a workforce’s health problem are very important in large-scale
workplaces. Analysis and modeling the health-threatening factors are good ways to promote the workforce’s
health and a fundamental step in developing health programs. The purpose of this study was ANN modeling of
the severity of occupational injuries to determine the health-threatening factors and to introduce a model to
predict the severity of occupational injuries.
Methods: This analytical chain study was conducted in 10 large construction industries during a 10-year period
(2005-2014). Nine hundred sixty occupational injuries were analyzed and modeled based on feature weighting by
the rough set theory and artificial neural networks (ANNs). Two analytical software programs, i.e., RSES and
MATLAB 2014 were used in the study.
Results: The severity of occupational injuries was calculated as 557.47 ± 397.87 days. The findings of both
models showed that the injuries' severity as a health problem resulted in various factors, including individual,
organizational, health and safety (H&S) training, and risk management factors, which could be considered as
causal and predictive factors of accident severity rate (ASR).
Conclusion: The results indicated that ANNs were a reliable tool that can be used to analyze and model the
severity of occupational injuries as one of the important health problems in large-scale workplaces. Additionally,
the combination of rough set and ANNs is a good and proper chain approach to modeling the factors that threaten
the health of workforces and other H&S problems |
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| ISSN: | 2008-5842 2008-5842 |