%0 Journal Article %A Jinn-Yi Yeh and Tai-Hsi Wu %D 2009 %J International Journal of Economics and Management Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 29, 2009 %T A Decision Support System for Predicting Hospitalization of Hemodialysis Patients %U https://publications.waset.org/pdf/3884 %V 29 %X 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. %P 535 - 545