International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Double Blind Reviewed

ISSN: 2319-7064




Downloads: 119

Survey Paper | Computer Science & Engineering | India | Volume 5 Issue 9, September 2016


Diabetes Mellitus Recommendation System using Association Rule Mining

Sudhanshu S. Deshpande | Swati S. Joshi


Abstract: Early detection of the diabetes mellitus with an elevated risk of developing it, is critical to take overall clinical care of patients. Diabetes leads to critical medical diseases including ischemic heart disease, stroke. Early identification of patients who is at risk of developing diabetes is a major healthcare need for todays world. This study aims to apply a association rule mining to EMR (Electronic Medical Records) to discover the risk of developing a diabetes. Association rule mining generates a large set of rules which needs to summarize and use for recommendation purpose. The Subpopulations found after this summary covers peoples having at high risk of developing diabetes.


Keywords: Diabetes, Association rule, mining, EMR, medical


Edition: Volume 5 Issue 9, September 2016,


Pages: 701 - 702


How to Cite this Article?

Sudhanshu S. Deshpande, Swati S. Joshi, "Diabetes Mellitus Recommendation System using Association Rule Mining", International Journal of Science and Research (IJSR), Volume 5 Issue 9, September 2016, pp. 701-702, https://www.ijsr.net/get_abstract.php?paper_id=ART20161633

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