@article{(Open Science Index):https://publications.waset.org/pdf/6606,
	  title     = {Health Risk Assessment for Sewer Workers using Bayesian Belief Networks},
	  author    = {Kevin Fong-Rey Liu and  Ken Yeh and  Cheng-Wu Chen and  Han-Hsi Liang},
	  country	= {},
	  institution	= {},
	  abstract     = {The sanitary sewerage connection rate becomes an
important indicator of advanced cities. Following the construction of
sanitary sewerages, the maintenance and management systems are
required for keeping pipelines and facilities functioning well. These
maintenance tasks often require sewer workers to enter the manholes
and the pipelines, which are confined spaces short of natural
ventilation and full of hazardous substances. Working in sewers could
be easily exposed to a risk of adverse health effects. This paper
proposes the use of Bayesian belief networks (BBN) as a higher level
of noncarcinogenic health risk assessment of sewer workers. 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 in sewers
and their adverse health effects, and accordingly inferring the
morbidity and mortality of the adverse health effects. The provision of
the morbidity and mortality rates of the related diseases is more
informative and can alleviate the drawbacks of conventional methods.},
	    journal   = {International Journal of Medical and Health Sciences},
	  volume    = {5},
	  number    = {9},
	  year      = {2011},
	  pages     = {383 - 387},
	  ee        = {https://publications.waset.org/pdf/6606},
	  url   	= {https://publications.waset.org/vol/57},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 57, 2011},