References

• 2011Safety analysis in process facilities: Comparison of fault tree and Bayesian network approaches768 cited
• 2016Application of machine learning to construction injury prediction376 cited
• 2001Occupational slip, trip, and fall-related injuries can the contribution of slipperiness be isolated?342 cited
• 2011Applying data mining techniques to explore factors contributing to occupational injuries in Taiwan's construction industry181 cited
• 2015Cognitive Factors Influencing Safety Behavior at Height: A Multimethod Exploratory Study156 cited
• 2014Sustainability trends in the process industries: A text mining-based analysis148 cited
• 2008A Bayesian network analysis of workplace accidents caused by falls from a height145 cited
• 2015Text analytics in industry: Challenges, desiderata and trends133 cited
• 2013Neural network analysis of construction safety management systems: a case study in Singapore128 cited
• 2015Pattern extraction for high-risk accidents in the construction industry: a data-mining approach92 cited
• 2013Applying data mining techniques to analyze the causes of major occupational accidents in the petrochemical industry92 cited
• 2011Prediction of work-related accidents according to working conditions using support vector machines91 cited
• 2012Analysing factors related to slipping, stumbling, and falling accidents at work: Application of data mining methods to Finnish occupational accidents and diseases statistics database