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| Analysis of the severity of occupational injuries in the mining industry using a Bayesian network |
| Mostafa Mirzaei Aliabadi, Hamed Aghaei, Omid kalatpuor, Ali Reza Soltanian, Asghar Nikravesh |
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Epidemiol Health. 2019;41:e2019017 Published online May 11, 2019 DOI: https://doi.org/10.4178/epih.e2019017 |
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A Bayesian Network Analysis for Occupational Accidents of Mining Sector Proceedings of the International Symposium for Production Research 2018. 2018;781-799  Network Bayesian Games Encyclopedia of Social Network Analysis and Mining. 2014;1068-1068 Network Bayesian Games Encyclopedia of Social Network Analysis and Mining. 2018;1516-1516 Bayesian Networks Encyclopedia of Social Network Analysis and Mining. 2018;140-140 Bayesian Games Encyclopedia of Social Network Analysis and Mining. 2018;140-140 Bayesian Networks Encyclopedia of Social Network Analysis and Mining. 2014;73-73 Bayesian Games Encyclopedia of Social Network Analysis and Mining. 2014;73-73 Studies of accidents leading to minor injuries in the U.K. coal mining industry∗ Journal of Occupational Accidents. 1980;2(4):305-323 Applying data mining techniques to explore factors contributing to occupational injuries in Taiwan's construction industry Accident Analysis & Prevention. 2012;48:214-222 Data mining for occupational injuries in the Taiwan construction industry Safety Science. 2008;46(7):1091-1102 |
