Abstract
This paper applies the preprocessing phases of the Knowledge Discovery in Databases to the automated blood cell counter data and generates association rules using apriori algorithm. The functions of an automated blood cell counter from a clinical pathology laboratory and the phases in Knowledge Discovery in Databases are explained briefly. Twelve thousand records are taken from a clinical laboratory for processing. The preprocessing steps of the KDD process are applied on the blood cell counter data. This paper applies the Apriori algorithm on the blood cell counter data and generates interesting association rules that are useful for medical diagnosis.
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Minnie, D., Srinivasan, S. (2012). Preprocessing of Automated Blood Cell Counter Data and Generation of Association Rules in Clinical Pathology. In: Wyld, D., Zizka, J., Nagamalai, D. (eds) Advances in Computer Science, Engineering & Applications. Advances in Intelligent and Soft Computing, vol 166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30157-5_92
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DOI: https://doi.org/10.1007/978-3-642-30157-5_92
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