Integrating feature engineering, genetic algorithm and tree-based machine learning methods to predict the post-accident disability status of construction workers
The construction industry is among the riskiest industries around the world. Hence, the
preliminary studies exploring the consequences of occupational accidents have received …
preliminary studies exploring the consequences of occupational accidents have received …
Scenario-based automated data preprocessing to predict severity of construction accidents
Occupational accidents are common in the construction industry, therefore developing
prediction models to detect high severe accidents would be useful. However, existing …
prediction models to detect high severe accidents would be useful. However, existing …
Prediction of construction accident outcomes based on an imbalanced dataset through integrated resampling techniques and machine learning methods
Purpose Central to the entire discipline of construction safety management is the concept of
construction accidents. Although distinctive progress has been made in safety management …
construction accidents. Although distinctive progress has been made in safety management …
Developing a national data-driven construction safety management framework with interpretable fatal accident prediction
Occupational accidents are frequent in the construction industry, containing significant risks
in the working environment. Therefore, early designation, taking preventive actions, and …
in the working environment. Therefore, early designation, taking preventive actions, and …
Investigating the impact of emerging technologies on construction safety performance
Purpose Construction safety is heavily affected by using new technologies in this growing
trend of technology adoption. Especially, safety performance is enhanced through the …
trend of technology adoption. Especially, safety performance is enhanced through the …
Role of national conditions in occupational fatal accidents in the construction industry using interpretable machine learning approach
K Koc - Journal of Management in Engineering, 2023 - ascelibrary.org
Current national occupational safety and health (OSH) initiatives follow reactive approaches,
ie, if it breaks, fix it. Existing accounts, however, failed to improve national OSH …
ie, if it breaks, fix it. Existing accounts, however, failed to improve national OSH …
Occupational injury risk mitigation: machine learning approach and feature optimization for smart workplace surveillance
MZF Khairuddin, P Lu Hui, K Hasikin… - International journal of …, 2022 - mdpi.com
Forecasting the severity of occupational injuries shall be all industries' top priority. The use
of machine learning is theoretically valuable to assist the predictive analysis, thus, this study …
of machine learning is theoretically valuable to assist the predictive analysis, thus, this study …
Uncovering Critical Causes of Highway Work Zone Accidents Using Unsupervised Machine Learning and Social Network Analysis
Highway work zones are essential for the preservation and improvement of the national road
system. Nevertheless, these areas are reported to be among the most hazardous …
system. Nevertheless, these areas are reported to be among the most hazardous …
Graph-based intelligent accident hazard ontology using natural language processing for tracking, prediction, and learning
This paper addresses the challenge of dispersed accident-related information on
construction sites, which hinders consensus among employers, workers, supervisors, and …
construction sites, which hinders consensus among employers, workers, supervisors, and …
A review of data mining strategies by data type, with a focus on construction processes and health and safety management
A Pireddu, A Bedini, M Lombardi, ALC Ciribini… - International journal of …, 2024 - mdpi.com
Increasingly, information technology facilitates the storage and management of data useful
for risk analysis and event prediction. Studies on data extraction related to occupational …
for risk analysis and event prediction. Studies on data extraction related to occupational …