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Data Mining Techniques for Healthcare


Affiliations
1 Nehru Arts and Science College, T.M.Palayam, Coimbatore, India
     

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The healthcare environment is generally perceived as being “rich information yet “Poor knowledge”. There is a wealth of data available within the healthcare systems. However, there is a lack of effective analysis tools to discover hidden relationships and trends in data. Knowledge discovery and data mining have found numerous applications in business and scientific domain. Valuable knowledge can be discovered from application of data mining techniques in healthcare system. We briefly examined the potential use of classification based data mining techniques such as rule based, decision tree and Artificial Neural Network to massive volume of healthcare data.

Keywords

Healthcare, Medical Diagnosis, Artificial Neural Network, Knowledge Discovery in Databases (KDD).
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  • Data Mining Techniques for Healthcare

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Authors

V. R. Nagarajan
Nehru Arts and Science College, T.M.Palayam, Coimbatore, India
D. Vimal Kumar
Nehru Arts and Science College, T.M.Palayam, Coimbatore, India

Abstract


The healthcare environment is generally perceived as being “rich information yet “Poor knowledge”. There is a wealth of data available within the healthcare systems. However, there is a lack of effective analysis tools to discover hidden relationships and trends in data. Knowledge discovery and data mining have found numerous applications in business and scientific domain. Valuable knowledge can be discovered from application of data mining techniques in healthcare system. We briefly examined the potential use of classification based data mining techniques such as rule based, decision tree and Artificial Neural Network to massive volume of healthcare data.

Keywords


Healthcare, Medical Diagnosis, Artificial Neural Network, Knowledge Discovery in Databases (KDD).

References