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Application of machine learning to construction injury prediction

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References

1956The magical number seven, plus or minus two: Some limits on our capacity for processing information.17,866 cited
1981The Framing of Decisions and the Psychology of Choice17,834 cited
1994The magical number seven, plus or minus two: Some limits on our capacity for processing information.17,469 cited
2006Safety Hazard Identification on Construction Projects494 cited
2008Customer churn prediction using improved balanced random forests434 cited
2015Automated content analysis for construction safety: A natural language processing system to extract precursors and outcomes from unstructured injury reports374 cited
2014Enhancing Construction Hazard Recognition with High-Fidelity Augmented Virtuality281 cited
2013Automated trading with performance weighted random forests and seasonality153 cited
1973Energy Damage and the Ten Countermeasure Strategies142 cited
2011Diffusion of Safety Innovations in the Construction Industry117 cited
2010Estimate at Completion for construction projects using Evolutionary Support Vector Machine Inference Model93 cited
2008A support vector machine model for contractor prequalification83 cited
2011An enforced support vector machine model for construction contractor default prediction73 cited
2014A two-stage segment and prediction model for mortgage prepayment prediction and management

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11 cited

Cited by

2018Construction site accident analysis using text mining and natural language processing techniques411 cited
2018Safety leading indicators for construction sites: A machine learning approach314 cited
2018Application of optimized machine learning techniques for prediction of occupational accidents253 cited
2019Machine learning predictive model based on national data for fatal accidents of construction workers251 cited
2019Predicting types of occupational accidents at construction sites in Korea using random forest model244 cited
2021Computer vision technologies for safety science and management in construction: A critical review and future research directions220 cited
2020Application of machine learning techniques for predicting the consequences of construction accidents in China169 cited
2020Predicting and analyzing injury severity: A machine learning-based approach using class-imbalanced proactive and reactive data167 cited
2020Sensor-based safety management166 cited
2020Automatically learning construction injury precursors from text155 cited
2020Utilizing Emerging Technologies for Construction Safety Risk Mitigation155 cited
2020AI-based prediction of independent construction safety outcomes from universal attributes152 cited
2020Modelling and interpreting pre-evacuation decision-making using machine learning143 cited
2022Predicting fatal fall from heights accidents using random forest classification machine learning model134 cited
2018Factors influencing unsafe behaviors: A supervised learning approach132 cited
2024AI integration in construction safety: Current state, challenges, and future opportunities in text, vision, and audio based applications122 cited