A Hybrid Data Mining Method For The Medical Classification Of Chest Pain

Sung Ho Ha, Seong Hyeon Joo
2010 Zenodo  
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
more » ... techniques. The methodology is expected to help physicians to make a faster and more accurate classification of chest pain diseases.
doi:10.5281/zenodo.1076133 fatcat:rwmdijohzjgn7pjipz3yedx6hu