Association Rule Summarization for Relative Risk Analysis of Diabetes Mellitus

Authors

  • Ranjan R. Sorte  BE Students, Department of Computer Science and Engineering Priyadarshini Bhagwati College of Engineering, Nagpur, Maharashtra, India
  • Charudatta B. Bante  BE Students, Department of Computer Science and Engineering Priyadarshini Bhagwati College of Engineering, Nagpur, Maharashtra, India
  • Aditya P. Thakare  BE Students, Department of Computer Science and Engineering Priyadarshini Bhagwati College of Engineering, Nagpur, Maharashtra, India
  • Shubham T. Saha  BE Students, Department of Computer Science and Engineering Priyadarshini Bhagwati College of Engineering, Nagpur, Maharashtra, India
  • Mosam B. Meshram  BE Students, Department of Computer Science and Engineering Priyadarshini Bhagwati College of Engineering, Nagpur, Maharashtra, India
  • Prof. Vishesh P. Gaikwad   Assistant Professor, Department of Computer Science and Engineering Priyadarshini Bhagwati College of Engineering, Nagpur, Maharashtra, India

Keywords:

Diabetes Mellitus, Data mining, Association Rule Mining, Survival Analysis, Association Rule Summarization

Abstract

Diabetes is a creating pandemic of non-transmittable disease which impacts most of the overall public on the planet. Remembering the ultimate objective to smother the advancement of diabetes mellitus we use association control summary to electronic therapeutic records to discover set of peril factors and the contrasting sub-people which talks with patients at particularly high risk of making diabetes. Regularly alliance control mining makes enormous volume of educational accumulations which we need to diagram for any restorative record or any clinical use. We join four methodologies to find the fundamental segments which incite high threat of diabetes all these four procedures made rundowns that delineated sub masses at high risk of diabetes with each methodology having its unmistakable quality. According to our inspiration we use bottom up summarization (BUS) estimation which conveys more proper once-over.

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

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Published

2018-04-30

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

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How to Cite

[1]
Ranjan R. Sorte, Charudatta B. Bante, Aditya P. Thakare, Shubham T. Saha, Mosam B. Meshram, Prof. Vishesh P. Gaikwad , " Association Rule Summarization for Relative Risk Analysis of Diabetes Mellitus, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.740-748, March-April-2018.