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Data Mining and its Applications in Healthcare Industry

K. Madhumitha, C. Dhivya

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

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References


Lampe, J. C., & Garcia, A. (2004). „Data Mining: An In-Depth Look‟. Internal Auditing, 19(2), 4-20.]

http://www.ikanow.com/blog/02/21/data-mining-for-healthcare--proven-remedy-for-an-ailing-industry

Greens R., "Clinical Decision Support". Elsevier Inc., 2007

.Birnbau`m D. Analysis of hospital infection surveillance data. Infect Control 1984; 5:332-338.

Arun K Punjari, ―Data Mining Techniques‖, Universities (India) Press Private Limited, 2006


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