Citations (43)
Keep up to date with the latest research on this topic with citation updates for this article.
Articles from other publishers (43)
Ekin Karakaya Özkan & Hasan Basri Ulaş. (2024) Comparison of four machine learning methods for occupational accidents based on national data on metal sector in Turkey. Safety Science 174, pages 106468.
Crossref
Crossref
Lluís Sanmiquel, Josep M. Rossell, Marc Bascompta, Carla Vintró & Mohammad Yousefian. (2024) Data mining of accidents in Spanish underground mines in the period 2003–2021 caused by a collision with a moving object. Heliyon 10:2, pages e24716.
Crossref
Crossref
Marília Cavalcanti, Luciano Lessa & Bianca M. Vasconcelos. (2023) Construction accident prevention: A systematic review of machine learning approaches. Work 76:2, pages 507-519.
Crossref
Crossref
Ahmad Mammadov, Gokhan Kazar, Kerim Koc & Onur Behzat Tokdemir. (2023) Predicting Accident Outcomes in Cross-Border Pipeline Construction Projects Using Machine Learning Algorithms. Arabian Journal for Science and Engineering 48:10, pages 13771-13789.
Crossref
Crossref
Ekin KARAKAYA ÖZKAN & Hasan Basri ULAŞ. (2023) Türkiye Metal Sektöründe Yaşanan İş Kazalarının Rassal Orman Algoritmasıyla TahminlenmesiEstimation of Occupational Accidents in the Turkish Metal Industry with Random Forest Algorithm. Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi 13:3, pages 1983-1997.
Crossref
Crossref
Ting Fu, Xinyi Li, Wenxiang Xu, Junhua Wang, Lanfang Zhang, Luochi Ye & Rongjie Yu. (2023) Risk analysis of bridge maintenance accidents: A two-stage LEC method and Bayesian network approach. International Journal of Transportation Science and Technology.
Crossref
Crossref
Yi Niu, Yunxiao Fan, Yuan Gao & Yuanlong Li. (2023) A causal inference method for improving the design and interpretation of safety research. Safety Science 161, pages 106082.
Crossref
Crossref
Dejun Miao, Yueying Lv, Kai Yu, Lu Liu & Jiachen Jiang. (2023) Research on coal mine hidden danger analysis and risk early warning technology based on data mining in China. Process Safety and Environmental Protection 171, pages 1-17.
Crossref
Crossref
Anne M. Foreman, Jonathan E. Friedel, Timothy D. Ludwig, Maira E. Ezerins, Yalçin Açikgöz, Shawn M. Bergman & Oliver Wirth. (2023) Establishment-level occupational safety analytics: Challenges and opportunities. International Journal of Industrial Ergonomics 94, pages 103428.
Crossref
Crossref
Qiusheng Song & Li Song. (2023) A Quantitative Analysis of Chemical Plant Safety Based on Bayesian Network. Processes 11:2, pages 525.
Crossref
Crossref
Rajan Kumar Gangadhari, Vivek Khanzode & Shankar Murthy. (2022) Application of rough set theory and machine learning algorithms in predicting accident outcomes in the Indian petroleum industry. Concurrency and Computation: Practice and Experience 34:26.
Crossref
Crossref
Fatemeh Mostofi, Vedat Toğan, Yunus Emre Ayözen & Onur Behzat Tokdemir. (2022) Construction Safety Risk Model with Construction Accident Network: A Graph Convolutional Network Approach. Sustainability 14:23, pages 15906.
Crossref
Crossref
Fatemeh Mostofi, Vedat Toğan, Yunus Emre Ayözen & Onur Behzat Tokdemir. (2022) Predicting the Impact of Construction Rework Cost Using an Ensemble Classifier. Sustainability 14:22, pages 14800.
Crossref
Crossref
Mohamed Zul Fadhli Khairuddin, Puat Lu Hui, Khairunnisa Hasikin, Nasrul Anuar Abd Razak, Khin Wee Lai, Ahmad Shakir Mohd Saudi & Siti Salwa Ibrahim. (2022) Occupational Injury Risk Mitigation: Machine Learning Approach and Feature Optimization for Smart Workplace Surveillance. International Journal of Environmental Research and Public Health 19:21, pages 13962.
Crossref
Crossref
Mohamed Zul Fadhli Khairuddin, Khairunnisa Hasikin, Nasrul Anuar Abd Razak, Khin Wee Lai, Mohd Zamri Osman, Muhammet Fatih Aslan, Kadir Sabanci, Muhammad Mokhzaini Azizan, Suresh Chandra Satapathy & Xiang Wu. (2022) Predicting occupational injury causal factors using text-based analytics: A systematic review. Frontiers in Public Health 10.
Crossref
Crossref
Sobhan Sarkar, Sammangi Vinay, Chawki Djeddi & J. Maiti. (2022) Classification and pattern extraction of incidents: a deep learning-based approach. Neural Computing and Applications 34:17, pages 14253-14274.
Crossref
Crossref
Shan He, Yi Lu & Min Li. (2022) Probabilistic risk analysis for coal mine gas overrun based on FAHP and BN: a case study. Environmental Science and Pollution Research 29:19, pages 28458-28468.
Crossref
Crossref
Young Gab Kim. (2022) A quantitative accident analysis model on nuclear safety culture based on Bayesian network. Annals of Nuclear Energy 166, pages 108703.
Crossref
Crossref
D. Parthiban, D. S. Vijayan, Muhammed Hisham Shadhil, U. Reshma & Reji Krishnan. Analysis of road accident with prediction model using machine learning algorithm in the region of Kerala. Analysis of road accident with prediction model using machine learning algorithm in the region of Kerala.
Gianluca Bonifazi, Enrico Corradini, Domenico Ursino, Luca Virgili, Emiliano Anceschi & Massimo Callisto De Donato. (2021) A machine learning based sentient multimedia framework to increase safety at work. Multimedia Tools and Applications 81:1, pages 141-169.
Crossref
Crossref
Inês Sena, Laires A. Lima, Felipe G. Silva, Ana Cristina Braga, Paulo Novais, Florbela P. Fernandes, Maria F. Pacheco, Clara B. Vaz, José Lima & Ana I. Pereira. 2022. Optimization, Learning Algorithms and Applications. Optimization, Learning Algorithms and Applications
187
201
.
Ferdinand Hoenigsberger, Anna Saranti, Alessa Angerschmid, Carl Orge Retzlaff, Christoph Gollob, Sarah Witzmann, Arne Nothdurft, Peter Kieseberg, Andreas Holzinger & Karl Stampfer. 2022. Machine Learning and Knowledge Extraction. Machine Learning and Knowledge Extraction
362
375
.
Xin Li, Rongchen Zhu, Han Ye, Chunxiao Jiang & Abderrahim Benslimane. (2021) MetaInjury: Meta-learning framework for reusing the risk knowledge of different construction accidents. Safety Science 140, pages 105315.
Crossref
Crossref
Hyung-Rok Oh, Ae-Lin Son & ZoonKy Lee. (2021) Occupational accident prediction modeling and analysis using SHAP. Journal of Digital Contents Society 22:7, pages 1115-1123.
Crossref
Crossref
Füsun Recal & Tufan Demirel. (2021) Comparison of machine learning methods in predicting binary and multi-class occupational accident severity. Journal of Intelligent & Fuzzy Systems 40:6, pages 10981-10998.
Crossref
Crossref
Rongchen Zhu, Xiaofeng Hu, Jiaqi Hou & Xin Li. (2021) Application of machine learning techniques for predicting the consequences of construction accidents in China. Process Safety and Environmental Protection 145, pages 293-302.
Crossref
Crossref
Jae Yun Lee, Young Geun Yoon, Tae Keun Oh, Seunghee Park & Sang Il Ryu. (2020) A Study on Data Pre-Processing and Accident Prediction Modelling for Occupational Accident Analysis in the Construction Industry. Applied Sciences 10:21, pages 7949.
Crossref
Crossref
Sobhan Sarkar & J. Maiti. (2020) Machine learning in occupational accident analysis: A review using science mapping approach with citation network analysis. Safety Science 131, pages 104900.
Crossref
Crossref
Anurag Yedla, Fatemeh Davoudi Kakhki & Ali Jannesari. (2020) Predictive Modeling for Occupational Safety Outcomes and Days Away from Work Analysis in Mining Operations. International Journal of Environmental Research and Public Health 17:19, pages 7054.
Crossref
Crossref
Guizhen Zhang, Vinh V. Thai, Adrian Wing‐Keung Law, Kum Fai Yuen, Hui Shan Loh & Qingji Zhou. (2019) Quantitative Risk Assessment of Seafarers’ Nonfatal Injuries Due to Occupational Accidents Based on Bayesian Network Modeling. Risk Analysis 40:1, pages 8-23.
Crossref
Crossref
Sobhan Sarkar, Rahul Raj, Sammangi Vinay, J. Maiti & Dilip Kumar Pratihar. (2019) An optimization-based decision tree approach for predicting slip-trip-fall accidents at work. Safety Science 118, pages 57-69.
Crossref
Crossref
Fatemeh Davoudi Kakhki, Steven A. Freeman & Gretchen A. Mosher. (2019) Evaluating machine learning performance in predicting injury severity in agribusiness industries. Safety Science 117, pages 257-262.
Crossref
Crossref
Sobhan Sarkar, Sammangi Vinay, Rahul Raj, J. Maiti & Pabitra Mitra. (2019) Application of optimized machine learning techniques for prediction of occupational accidents. Computers & Operations Research 106, pages 210-224.
Crossref
Crossref
Lluís Sanmiquel, Marc Bascompta, Josep Rossell, Hernán Anticoi & Eduard Guash. (2018) Analysis of Occupational Accidents in Underground and Surface Mining in Spain Using Data-Mining Techniques. International Journal of Environmental Research and Public Health 15:3, pages 462.
Crossref
Crossref
Sobhan Sarkar, Abhishek Verma & J. Maiti. 2018. Industrial Safety Management. Industrial Safety Management
65
79
.
S. GerassisJ. E. MartínJ. Taboada GarcíaA. SaavedraJ. Taboada. (2017) Bayesian Decision Tool for the Analysis of Occupational Accidents in the Construction of Embankments. Journal of Construction Engineering and Management 143:2.
Crossref
Crossref
Sobhan Sarkar, Sammangi Vinay & Jhareswar Maiti. (2016) Text mining based safety risk assessment and prediction of occupational accidents in a steel plant. Text mining based safety risk assessment and prediction of occupational accidents in a steel plant.
Lluís Sanmiquel, Josep M. Rossell & Carla Vintró. (2015) Study of Spanish mining accidents using data mining techniques. Safety Science 75, pages 49-55.
Crossref
Crossref
Hanchen Jiang, Peng Lin, Qixiang Fan & Maoshan Qiang. (2014) Real-Time Safety Risk Assessment Based on a Real-Time Location System for Hydropower Construction Sites. The Scientific World Journal 2014, pages 1-14.
Crossref
Crossref
Sou-Sen Leu & Ching-Miao Chang. (2013) Bayesian-network-based safety risk assessment for steel construction projects. Accident Analysis & Prevention 54, pages 122-133.
Crossref
Crossref
T. Rivas, M. Paz, J.E. Martín, J.M. Matías, J.F. García & J. Taboada. (2011) Explaining and predicting workplace accidents using data-mining techniques. Reliability Engineering & System Safety 96:7, pages 739-747.
Crossref
Crossref
C. Guisande, A. Manjarrés-Hernández, P. Pelayo-Villamil, C. Granado-Lorencio, I. Riveiro, A. Acuña, E. Prieto-Piraquive, E. Janeiro, J.M. Matías, C. Patti, B. Patti, S. Mazzola, S. Jiménez, V. Duque & F. Salmerón. (2010) IPez: An expert system for the taxonomic identification of fishes based on machine learning techniques. Fisheries Research 102:3, pages 240-247.
Crossref
Crossref
J.E. Martín, T. Rivas, J.M. Matías, J. Taboada & A. Argüelles. (2009) A Bayesian network analysis of workplace accidents caused by falls from a height. Safety Science 47:2, pages 206-214.
Crossref
Crossref