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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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Bayesian Networks Encyclopedia of Social Network Analysis and Mining. 2018;140-140  Bayesian Games Encyclopedia of Social Network Analysis and Mining. 2018;140-140 A Bayesian Network Analysis for Occupational Accidents of Mining Sector Proceedings of the International Symposium for Production Research 2018. 2018;781-799 Studies of accidents leading to minor injuries in the U.K. coal mining industry∗ Journal of Occupational Accidents. 1980;2(4):305-323 Adult Entertainment Industry Encyclopedia of Social Network Analysis and Mining. 2018;18-18 Sex Industry Encyclopedia of Social Network Analysis and Mining. 2018;2484-2484 ANALYSIS OF HEAD INJURIES USING A BAYESIAN VECTOR GENERALIZED ADDITIVE MODEL Australian & New Zealand Journal of Statistics. 2011;53(2):233-246 Applying data mining techniques to explore factors contributing to occupational injuries in Taiwan's construction industry Accident Analysis & Prevention. 2012;48:214-222 Relative risk analysis of injuries in coal mining by age and experience at present company Journal of Occupational Accidents. 1988;10(3):209-216 Assessment of Catastrophic Risk Using Bayesian Network Constructed from Domain Knowledge and Spatial Data Risk Analysis. 2010;30(7):1157-1175 |
