A Comparative Analysis of Healthcare Sector Using Different Data mining Techniques

Authors(2) :-Mohanadevi M, Vinodhini V

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.

Authors and Affiliations

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

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

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Publication Details

Published in : Volume 2 | Issue 3 | May-June 2017
Date of Publication : 2017-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 616-622
Manuscript Number : CSEIT1723212
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Mohanadevi M, Vinodhini V, "A Comparative Analysis of Healthcare Sector Using Different Data mining Techniques", International 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.
Journal URL : http://ijsrcseit.com/CSEIT1723212

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