Authors : A. Lourdu Caroline and S. Manikandan
Abstract: 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.
A. Lourdu Caroline and S. Manikandan, 2017. A Data Mining Technique for Prediction of Chest Pain using Medical Laboratory Dataset. Journal of Engineering and Applied Sciences, 12: 920-928.