@article{(Open Science Index):https://publications.waset.org/pdf/3884,
	  title     = {A Decision Support System for Predicting Hospitalization of Hemodialysis Patients},
	  author    = {Jinn-Yi Yeh and  Tai-Hsi Wu},
	  country	= {},
	  institution	= {},
	  abstract     = {Hemodialysis patients might suffer from unhealthy
care behaviors or long-term dialysis treatments. Ultimately they need
to be hospitalized. If the hospitalization rate of a hemodialysis center
is high, its quality of service would be low. Therefore, how to decrease
hospitalization rate is a crucial problem for health care. In this study
we combined temporal abstraction with data mining techniques for
analyzing the dialysis patients' biochemical data to develop a decision
support system. The mined temporal patterns are helpful for clinicians
to predict hospitalization of hemodialysis patients and to suggest them
some treatments immediately to avoid hospitalization.},
	    journal   = {International Journal of Economics and Management Engineering},
	  volume    = {3},
	  number    = {5},
	  year      = {2009},
	  pages     = {535 - 545},
	  ee        = {https://publications.waset.org/pdf/3884},
	  url   	= {https://publications.waset.org/vol/29},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 29, 2009},
	}