Critical Analysis of Data Mining Techniques on Medical Data

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Zahid Ullah 1,* Muhammad Fayaz 2 Asif Iqbal 2

1. Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad, Pakistan

2. Department of Computer Science and Information Technology, University of Malakand KPK, Pakistan

* Corresponding author.


Received: 23 Oct. 2015 / Revised: 4 Dec. 2015 / Accepted: 10 Jan. 2016 / Published: 8 Feb. 2016

Index Terms

Classification, clustering, regression, association rule mining, data mining


The use of Data mining techniques on medical data is dramatically soar for determining helpful things which are used in decision making and identification. The most extensive data mining techniques which are used in healthcare domain are, classification, clustering, regression, association rule mining, classification and regression tree (CART). The suitable use of data mining algorithm can enhance the quality of prediction, diagnosis and disease classification. Valuation of data mining techniques demand for medical data mining is the major goal here, particularly to examine the local frequent disease like heart ailments, breast cancer, lung cancer and so on. We examine for discovering the locally frequent patterns through data mining technique in terms of cost performance speed and accuracy.

Cite This Paper

Zahid Ullah, Muhammad Fayaz, Asif Iqbal, "Critical Analysis of Data Mining Techniques on Medical Data", International Journal of Modern Education and Computer Science(IJMECS), Vol.8, No.2, pp.42-48, 2016. DOI:10.5815/ijmecs.2016.02.05


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