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Application of machine learning technology for occupational accident severity prediction in the case of construction collapse accidents
15 references·1 citing·53 second hop
Application of machine learning technology for occupational accident severity prediction in the case of construction collapse accidents (2023)Application of machine learning technolog…The identification of significant features towards travel mode choice and its prediction via optimised random forest classifier: An evaluation for active commuting behavior (2022)The identification of signifi…Learning from major accidents: A machine learning approach (2022)Learning from major accidents…Safety Management System (SMS) framework development – Mitigating the critical safety factors affecting Health and Safety performance in construction projects (2021)Safety Management System (SMS…An improved text mining approach to extract safety risk factors from construction accident reports (2021)An improved text mining appro…An improved alternative queuing method for occupational health and safety risk assessment and its application to construction excavation (2021)An improved alternative queui…Ranking of human factors affecting contractors’ risk attitudes in the Malaysian construction industry (2020)Ranking of human factors affe…Predicting the consequences of accidents involving dangerous substances using machine learning (2020)Predicting the consequences o…Machine learning in occupational accident analysis: A review using science mapping approach with citation network analysis (2020)Machine learning in occupatio…Design for occupational safety and health: A theoretical framework for organisational capability (2020)Design for occupational safet…AI-based prediction of independent construction safety outcomes from universal attributes (2020)AI-based prediction of indepe…Risk analysis for occupational safety and health in the textile industry: Integration of FMEA, FTA, and BIFPET methods (2019)Risk analysis for occupationa…Predicting types of occupational accidents at construction sites in Korea using random forest model (2019)Predicting types of occupatio…Safety leading indicators for construction sites: A machine learning approach (2018)Safety leading indicators for…Factors influencing unsafe behaviors: A supervised learning approach (2018)Factors influencing unsafe be…Automated content analysis for construction safety: A natural language processing system to extract precursors and outcomes from unstructured injury reports (2015)Automated content analysis fo…Artificial Intelligence in Manufacturing Industry Worker Safety: A New Paradigm for Hazard Prevention and Mitigation (2025)Artificial Intelligence in Ma…Content Analysis in Mass Communication: Assessment and Reporting of Intercoder Reliability (2002)Text Mining Infrastructure in R (2008)Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts (2013)A science mapping approach based review of construction safety research (2018)Construction site accident analysis using text mining and natural language processing techniques (2018)A Coefficient of Agreement for Nominal Scales (1960)The Measurement of Observer Agreement for Categorical Data (1977)Managing the Risks of Organizational Accidents (2016)Application of machine learning techniques for predicting the consequences of construction accidents in China (2020)Text mining-based construction site accident classification using hybrid supervised machine learning (2020)The theory of planned behavior (1991)Efficacy of the Theory of Planned Behaviour: A meta‐analytic review (2001)Predicting and Changing Behavior (2011)Knowledge transfer for occupational health and safety: Cultivating health and safety learning culture in construction firms (2020)Computer vision technologies for safety science and management in construction: A critical review and future research directions (2021)Failure Mode and Effect Analysis: FMEA From Theory to Execution (1996)Risk Analysis: A Quantitative Guide (2000)Risk evaluation approaches in failure mode and effects analysis: A literature review (2012)A fuzzy rough number extended AHP and VIKOR for failure mode and effects analysis under uncertainty (2021)Occupational health and safety risk assessment using an integrated TODIM‐PROMETHEE model under linguistic spherical fuzzy environment (2021)A Fermatean fuzzy Fine–Kinney for occupational risk evaluation using extensible MARCOS with prospect theory (2022)Identifying elements of poor construction safety management in China (2003)Application of machine learning to construction injury prediction (2016)Applying a random forest method approach to model travel mode choice behavior (2018)Causal factors and risk assessment of fall accidents in the U.S. construction industry: A comprehensive data analysis (2000–2020) (2021)Predicting fatal fall from heights accidents using random forest classification machine learning model (2022)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Overview and analysis of safety management studies in the construction industry (2014)Accident prediction in construction using hybrid wavelet-machine learning (2021)Integrating feature engineering, genetic algorithm and tree-based machine learning methods to predict the post-accident disability status of construction workers (2021)AI integration in construction safety: Current state, challenges, and future opportunities in text, vision, and audio based applications (2024)Risk management in a dynamic society: a modelling problem (1997)Software survey: VOSviewer, a computer program for bibliometric mapping (2009)A unified approach to mapping and clustering of bibliometric networks (2010)Prediction of construction accident outcomes based on an imbalanced dataset through integrated resampling techniques and machine learning methods (2022)Absorptive Capacity: A New Perspective on Learning and Innovation (1990)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)Factors Influencing Safety on Construction Projects (fSCPs): Types and Categories (2021)Design for safety (DfS) practice in construction engineering and management research: A review of current trends and future directions (2022)The influence of safety leadership on nurses’ safety behavior: The mediating role of safety knowledge and motivation (2022)The Knowledge-Creating Company (1998)A guide to the project management body of knowledge (PMBOK guide) (2004)A novel approach to risk assessment for occupational health and safety using Pythagorean fuzzy AHP & fuzzy inference system (2017)A critical review of text-based research in construction: Data source, analysis method, and implications (2021)Identification of accident-injury type and bodypart factors from construction accident reports: A graph-based deep learning framework (2022)Tag and IoT based safety hook monitoring for prevention of falls from height (2022)Analyzing the Past to Prepare for the Future: Writing a Literature Review (2002)A Guide to Conducting a Systematic Literature Review of Information Systems Research (2011)Literature review as a research methodology: An overview and guidelines (2019)Investigating the impact of emerging technologies on construction safety performance (2022)Benefits of Implementing Occupational Health and Safety Management Systems for the Sustainable Construction Industry: A Systematic Literature Review (2023)Applications of digital twin technology in construction safety risk management: a literature review (2024)
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References

  • 2015Automated content analysis for construction safety: A natural language processing system to extract precursors and outcomes from unstructured injury reports374 cited
  • 2018Safety leading indicators for construction sites: A machine learning approach314 cited
  • 2019Predicting types of occupational accidents at construction sites in Korea using random forest model244 cited
  • 2021An improved text mining approach to extract safety risk factors from construction accident reports214 cited
  • 2021Safety Management System (SMS) framework development – Mitigating the critical safety factors affecting Health and Safety performance in construction projects161 cited
  • 2020AI-based prediction of independent construction safety outcomes from universal attributes152 cited
  • 2018Factors influencing unsafe behaviors: A supervised learning approach132 cited
  • 2020Machine learning in occupational accident analysis: A review using science mapping approach with citation network analysis116 cited
  • 2019Risk analysis for occupational safety and health in the textile industry: Integration of FMEA, FTA, and BIFPET methods111 cited
  • 2020Design for occupational safety and health: A theoretical framework for organisational capability96 cited
  • 2022Learning from major accidents: A machine learning approach56 cited
  • 2020Ranking of human factors affecting contractors’ risk attitudes in the Malaysian construction industry55 cited
  • 2021An improved alternative queuing method for occupational health and safety risk assessment and its application to construction excavation

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51 cited
  • 2022The identification of significant features towards travel mode choice and its prediction via optimised random forest classifier: An evaluation for active commuting behavior36 cited
  • 2020Predicting the consequences of accidents involving dangerous substances using machine learning26 cited
  • Cited by

    • 2025Artificial Intelligence in Manufacturing Industry Worker Safety: A New Paradigm for Hazard Prevention and Mitigation68 cited