%0 Journal Article %A Sung Ho Ha and Seong Hyeon Joo %D 2010 %J International Journal of Computer and Information Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 37, 2010 %T A Hybrid Data Mining Method for the Medical Classification of Chest Pain %U https://publications.waset.org/pdf/10894 %V 37 %X Data mining techniques have been used in medical research for many years and have been known to be effective. In order to solve such problems as long-waiting time, congestion, and delayed patient care, faced by emergency departments, this study concentrates on building a hybrid methodology, combining data mining techniques such as association rules and classification trees. The methodology is applied to real-world emergency data collected from a hospital and is evaluated by comparing with other techniques. The methodology is expected to help physicians to make a faster and more accurate classification of chest pain diseases. %P 99 - 104