Preprocessing of Automated Blood Cell Counter Data and Generation of Association Rules in Clinical Pathology

Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 166)


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.


Clinical Pathology Blood Cell Counter Knowledge Discovery in Databases Data Mining Association Rule Mining Apriori algorithm 


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© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Department of Computer ScienceMadras Christian CollegeChennaiIndia
  2. 2.Department of Computer Science and EngineeringAnna University of Technology MaduraiMaduraiIndia

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