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International Journal of Modern Education and Computer Science (IJMECS)

ISSN: 2075-0161 (Print), ISSN: 2075-017X (Online)

Published By: MECS Press

IJMECS Vol.8, No.2, Feb. 2016

Critical Analysis of Data Mining Techniques on Medical Data

Full Text (PDF, 278KB), PP.42-48


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Author(s)

Zahid Ullah, Muhammad Fayaz, Asif Iqbal

Index Terms

Classification;clustering;regression;association rule mining;data mining

Abstract

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

Reference

[1]P. Lyman, and R.V. Hal, "How much storage is enough," Storage, pp.1-4, 2003.

[2]W. Jay, and E.A. Smith, "Evolution of Synthetic Aperture Radar Systems and Their Progression to the EOS SAR," IEEE Trans, Geoscience and Remote Sensing, vol. 29, no.6, pp. 962-985, 1991.

[3]M.F. Usama, "Data-Mining and Knowledge Discovery Making Sense out of Data," Microsoft Research IEEE Expert, vol.11, no.5, pp.2025-985, 1996.

[4]A. Berson, K. Thearling, and J. Stephen, Building Data Mining Applications for CRM, CRM, USA, McGraw-Hill, 1999.

[5]A.K. Mohantly, S.K. Lenka, "Efficient Image Mining Technique for Classification of Mammograms to Detect Breast Cancer," International journal of computer science and communication technologies, vol. 2, no.3, pp.99-106, 2010.

[6]S.W. Purnami, J.M. Zain, & A. Embong, "Data Mining Technique for Medical Diagnosis Using a New Smooth Support Vector Machine," Communications in Computer and Information Science, 2010, pp.15-27.

[7]S. Kharya, "Using Data Mining Techniques for Diagnosis and Prognosis of Cancer Disease," International Journal of Computer Science, Engineering and Information Technology, vol.2, no.2, pp.55-66, 2012.

[8]M.C. Tu, D.Shin, D. Shin, "A Comparative Study of Medical Data Classification Methods Based on Decision Tree and Bagging Algorithms," International Conference on Dependable, Autonomic and Secure Computing, 2009, pp.183-187, 

[9]P. Rajendran, M. Madheswaran, K. Naganandhini, "An Improved Pre-Processing Technique with Image Mining Approach for the Medical Image Classification," Second International conference on Computing, Communication and Networking Technologies, 2010, pp.183-187.

[10]N.H. Rajini, R. Bhavani, "Classification of MRI Brain Images using k- Nearest Neighbor and Artificial Neural Network", International Conference on Recent Trends in Information Technology, 2011, pp.863-868.

[11]N. Suguna, K. Thanushkodi, "An Improved k-Nearest Neighbor Classification Using Genetic Algorithm," International Journal of Computer Science Issues, vol.7, no.4, pp.18-21, 2010.

[12]V. Uher, R. Burget, "Automatic 3D segmentation of human brain images using data-mining techniques," International Conference on Telecommunications and Signal Processing, 2012, pp.578-580.

[13]C.L. Devasena, M. Hemalatha, "A Hybrid Image Mining Technique using LIM-based Data Mining Algorithm," International Journal of Computer Applications, vol.25, no.2, pp.26-3, 2011.

[14]W. Moudani, A.R. Sayed, "Efficient Image Classification using Data Mining," International Journal of Combinatorial Optimization Problems and Informatics, vol.2 no.1, pp. 27-44, 2010.

[15]B.G. Prasad, A.N. Krishna, "Classification of medical image using data-mining techniques," Advances in Communication, Network, and Computing, 2012, pp.54-59. 

[16]A.K. Mohanty, M.R. Senapati, S.K. Lenka, "An improved data mining technique for classification and detection of breast cancer from mammograms," International Journal of Neural Computing and Applications, vol. 22 no.6, pp.61-71, 2012.

[17]V.S. Tseng, M.H. Wang, J.H. Su, "A New Method for Image Classification by Using Multilevel Association Rules," Data Engineering Workshops, 2005, pp.1180-1187

[18]Y. Zhang. and Z. Dong. "A hybrid method for MRI brain image classification", Expert System with applications, pp. 10049-10053, 2011.

[19]A. H. Gondal, and M. N. A. Khan, "A review of fully automated techniques for brain tumor detection from MR images," International Journal of Modern Education and Computer Science (IJMECS), vol. 5, no. 2, pp. 55, 2013.

[20]A. Zia, and M. Khan, "A Scheme to Reduce Response Time in Cloud Computing Environment," International Journal of Modern Education and Computer Science (IJMECS), vol. 5, no. 6, pp. 56, 2013.

[21]A. Zia, and M. N. A. Khan, "Identifying key challenges in performance issues in cloud computing," International Journal of Modern Education and Computer Science (IJMECS), vol. 4, no. 10, pp. 59, 2012.

[22]M. A. Masood, and M. Khan, "Clustering Techniques in Bioinformatics," International Journal of Modern Education and Computer Science (IJMECS), vol. 7, no. 1, pp. 38, 2015.

[23]Abdul Salam Shah, M.N.A. Khan and Asadullah Shah, "An Appraisal of Off-line Signature Verification Techniques", International Journal of Modern Education and Computer Sciences (IJMECS), vol.7, no.4, pp. 67-75, 2015.