@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}, }