Classification Based Data Mining Technique for Discovering Disease Patterns: An Implementation Study

International Journal of Computer Science (IJCS Journal) Published by SK Research Group of Companies (SKRGC) Scholarly Peer Reviewed Research Journals

Format: Volume 5, Issue 2, No 02, 2017

Copyright: All Rights Reserved ©2017

Year of Publication: 2017

Author: S.Baskaran, R.Jeyaseelan

Reference:IJCS-307

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Abstract

Data Mining is getting popular in health care related research. It plays an important role for hidden information and disease patterns. The outcome helps for all those who have associated with heath care system. In this paper, we examine the application of classification based data mining techniques in healthcare data. Using medical profiles such as age, sex, pin code and disease type, it is predicted the likelihood of patients who get a large count of disease. The result of this quantitative minor research project helps to discover hidden patterns, associations between age and disease, and blood group and disease which often go unexploited.

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Keywords

data mining, disease pattern, healthcare system, association mining,medical data mining

This work is licensed under a Creative Commons Attribution 3.0 Unported License.   

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