Health Risk Assessment in Lead Battery Smelter Factory: A Bayesian Belief Network Method
This paper proposes the use of Bayesian belief
networks (BBN) as a higher level of health risk assessment for a
dumping site of lead battery smelter factory. On the basis of the
epidemiological studies, the actual hospital attendance records and
expert experiences, the BBN is capable of capturing the probabilistic
relationships between the hazardous substances and their adverse
health effects, and accordingly inferring the morbidity of the adverse
health effects. The provision of the morbidity rates of the related
diseases is more informative and can alleviate the drawbacks of
conventional methods.
[1] Pearl, J., 1988. Probabilistic Reasoning in Intelligent Systems: Networks
of Plausible Inference, Morgan Kaufmann, California.
[2] Liao, Y., Wang, J., Guo, Y., Zheng, X., 2010. Risk assessment of human
neural tube defects using a Bayesian belief network. Stochastic
Environmental Research and Risk Assessment 24(1): 93-100.
[3] Ticehurst, J.L., Curtis, A., Merritt, W.S., 2010. Using Bayesian Networks
to complement conventional analyses to explore landholder management
of native vegetation. Environmental Modelling & Software 26(1): 52-65.
[4] Dawsey, W. J., Minsker, B. S., VanBlaricum, V. L., 2006. Bayesian belief
networks to Integrate Monitoring Evidence of Water Distribution System
Contamination. Water Resources Planning and Management 132(4):
234-241.
[5] Newton, A.C., 2010. Use of a Bayesian network for Red Listing under
uncertainty. Environmental Modelling & Software 25: 15-23.
[1] Pearl, J., 1988. Probabilistic Reasoning in Intelligent Systems: Networks
of Plausible Inference, Morgan Kaufmann, California.
[2] Liao, Y., Wang, J., Guo, Y., Zheng, X., 2010. Risk assessment of human
neural tube defects using a Bayesian belief network. Stochastic
Environmental Research and Risk Assessment 24(1): 93-100.
[3] Ticehurst, J.L., Curtis, A., Merritt, W.S., 2010. Using Bayesian Networks
to complement conventional analyses to explore landholder management
of native vegetation. Environmental Modelling & Software 26(1): 52-65.
[4] Dawsey, W. J., Minsker, B. S., VanBlaricum, V. L., 2006. Bayesian belief
networks to Integrate Monitoring Evidence of Water Distribution System
Contamination. Water Resources Planning and Management 132(4):
234-241.
[5] Newton, A.C., 2010. Use of a Bayesian network for Red Listing under
uncertainty. Environmental Modelling & Software 25: 15-23.
@article{"International Journal of Business, Human and Social Sciences:56743", author = "Kevin Fong-Rey Liu and Ken Yeh and Cheng-Wu Chen and Han-Hsi Liang", title = "Health Risk Assessment in Lead Battery Smelter Factory: A Bayesian Belief Network Method", abstract = "This paper proposes the use of Bayesian belief
networks (BBN) as a higher level of health risk assessment for a
dumping site of lead battery smelter factory. On the basis of the
epidemiological studies, the actual hospital attendance records and
expert experiences, the BBN is capable of capturing the probabilistic
relationships between the hazardous substances and their adverse
health effects, and accordingly inferring the morbidity of the adverse
health effects. The provision of the morbidity rates of the related
diseases is more informative and can alleviate the drawbacks of
conventional methods.", keywords = "Bayesian belief networks, lead battery smelter
factory, health risk assessment.", volume = "6", number = "5", pages = "864-4", }