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Data Mining and its Applications in Healthcare Industry


Affiliations
1 Department of BCA, PSGR Krishnammal College for Women, India
2 Department of BCA, PSGR Krishnammal College for Women, India
     

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In today’s world Healthcare area is growing faster with huge amount of data present. The data in healthcare includes patient information, treatment given to them resources provided and much more relevant information. The information present is very large and considerable. Hidden knowledge and pattern from healthcare can be discovered by using various data mining techniques. In this paper we intend to apply some of the classification technique over the healthcare data. WEKA machine learning tool is used to test data set of Hepatitis disease. For performance evaluation accuracy percentage of classifier is considered. The technique with high accuracy is chosen for that particular dataset.


Keywords

Hepatitis, Data Mining.
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  • Data Mining and its Applications in Healthcare Industry

Abstract Views: 238  |  PDF Views: 1

Authors

K. Madhumitha
Department of BCA, PSGR Krishnammal College for Women, India
C. Dhivya
Department of BCA, PSGR Krishnammal College for Women, India

Abstract


In today’s world Healthcare area is growing faster with huge amount of data present. The data in healthcare includes patient information, treatment given to them resources provided and much more relevant information. The information present is very large and considerable. Hidden knowledge and pattern from healthcare can be discovered by using various data mining techniques. In this paper we intend to apply some of the classification technique over the healthcare data. WEKA machine learning tool is used to test data set of Hepatitis disease. For performance evaluation accuracy percentage of classifier is considered. The technique with high accuracy is chosen for that particular dataset.


Keywords


Hepatitis, Data Mining.