Association Rule Summarization for Relative Risk Analysis of Diabetes Mellitus

Authors(6) :-Ranjan R. Sorte, Charudatta B. Bante, Aditya P. Thakare, Shubham T. Saha, Mosam B. Meshram, Prof. Vishesh P. Gaikwad

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.

Authors and Affiliations

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

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

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Publication Details

Published in : Volume 3 | Issue 3 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 740-748
Manuscript Number : CSEIT1833319
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

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", International 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.
Journal URL : http://ijsrcseit.com/CSEIT1833319

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