A Comparative Analysis of Healthcare Sector Using Different Data mining Techniques

Authors

  • Mohanadevi M  Department of Computer science/Dr.N.G.P Arts and Science College/Coimbatore, Tamilnadu, India
  • Vinodhini V  Department of Computer science/Dr.N.G.P Arts and Science College/Coimbatore, Tamilnadu, India

Keywords:

Data mining, Clustering, Classification, Regression, Health care Accuracy.

Abstract

Data mining is a growing research area in various fields due to its boundless applications and limitless approaches to mine the data in target oriented manner. Data mining techniques have the capabilities to discover hidden patterns or relationships among the objects in the medical data. And it has an infinite potential to utilize healthcare data more efficiently to predict different kind of disease. This paper makes review and analysis of different techniques of data mining such as Clustering, Classification, Association and Regression used in health care sector. And also highlights applications, challenges and future work of Data Mining in healthcare.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-06-30

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Volume 2, Issue 3, May-June-2017

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Research Articles

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How to Cite

[1]
Mohanadevi M, Vinodhini V, " A Comparative Analysis of Healthcare Sector Using Different Data mining Techniques, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 3, pp.616-622, May-June-2017.