A. Lourdu  Caroline, S.  Manikandan, 
    A Data Mining Technique for Prediction of Chest Pain using Medical
Laboratory Dataset,
    Journal of Engineering and Applied Sciences,
    Volume 12,Issue 4,
    2017,
    Pages 920-928,
    ISSN 1816-949x,
    jeasci.2017.920.928,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2017.920.928)
    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.
    Keywords: Data mining;medical decisions;medical domain knowledge;chest pain;combining