Book Details

INFORMATION EXTRACTION OF PREDICTING BLOOD CANCER

International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC).

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Abstract

Data mining techniques have been used in medical research for many years and have been known to be effective. Cancer has become the leading cause of death worldwide. Cancer is one of the dreadful diseases in the world claiming majority of lives. Though cancer research is generally clinical and biological in nature, data driven statistical research has become a common complement. Predicting the outcome of a disease is one of the most interesting and challenging tasks where data mining techniques have to be applied[1]. Implementing accuracy in this classification by finding out the ratio of cancer in male versus female cases and also which areas record highest cancer rate and whether habits, diets, education, marital status, living area etc., which play important roles in cancer pattern.

References

[1] Andreeva P., M. Dimitrova and A. Gegov, ?Information Representation in Cardiological Knowledge Based System?, SAER’06, pp: 23-25 Sept, 2006.

[2] Kiyong Noh, Heon Gyu Lee, Ho-Sun Shon, Bum Ju Lee, and Keun Ho Ryu, "Associative Classification Approach for Diagnosing Cardiovascular Disease", Springer, 2009

[3] Berrar D., Dubitzky W., Granzow M. (eds.), A Practical Approach to Microarray Data Analysis, Kluwer Academic Publishers, Boston, Dec.2007 

[4]N. Revathy ?Accurate Cancer Classification using Expressions of Very few Genes? International Journal of Computer Applications (0975 – 8887) Volume 14– No.4, January 2011.

[6] Rajaraman Swaminathan ?Cancer pattern and survival in a rural district in South India? Cancer Epidemiology 33 (2010) 325–331.

[7]T.Sakthimurugan ?An Effective Retrieval of Medical Records using Data Mining Techniques? International Journal of Pharmaceutical Science and Health Care, Issue 2, Volume 2 (April 2012).

[8] Shao XM, Liu GC; ZhouQJ et.al. Effects of Qigong Waiqi on the growth and differentiation ofimplanted tumor cells. Proc. of the 3rd Nat.l Acad. Conf. onQigong. Guangzhou, China.

[9] Shelly Gupta ?Performance Analysis of Various Data Mining Classification Techniques on healthcare Data? International Journal of Computer Science & Information Technology (IJCSIT) Vol 3, No 4, August 2011.

[10]Neha Sharma ?Framework for Early Detection and Prevention of oral Cancer Using Data Mining? International Journal of Advances in Engineering & Technology, Sept 2012 pp. 302-310.

Keywords

ID3, classification, decision learning, Common Disease, Prediction.

Image
  • Format Volume 1, Issue 2, No 4, 2013.
  • Copyright All Rights Reserved ©2013
  • Year of Publication 2013
  • Author N.Sudha Bhuvaneswari, S.Yamuna
  • Reference IJCS-022
  • Page No 116-122

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