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Classification Rule Generation for Diabetic Patients using Rough Set Approach

Kasturi Ghosh1 , Sripati Mukhopadhyay2

Section:Research Paper, Product Type: Conference Paper
Volume-03 , Issue-01 , Page no. 88-96, Feb-2015

Online published on Feb 18, 2015

Copyright © Kasturi Ghosh , Sripati Mukhopadhyay . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Kasturi Ghosh , Sripati Mukhopadhyay, “Classification Rule Generation for Diabetic Patients using Rough Set Approach,” International Journal of Computer Sciences and Engineering, Vol.03, Issue.01, pp.88-96, 2015.

MLA Style Citation: Kasturi Ghosh , Sripati Mukhopadhyay "Classification Rule Generation for Diabetic Patients using Rough Set Approach." International Journal of Computer Sciences and Engineering 03.01 (2015): 88-96.

APA Style Citation: Kasturi Ghosh , Sripati Mukhopadhyay, (2015). Classification Rule Generation for Diabetic Patients using Rough Set Approach. International Journal of Computer Sciences and Engineering, 03(01), 88-96.

BibTex Style Citation:
@article{Ghosh_2015,
author = {Kasturi Ghosh , Sripati Mukhopadhyay},
title = {Classification Rule Generation for Diabetic Patients using Rough Set Approach},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2015},
volume = {03},
Issue = {01},
month = {2},
year = {2015},
issn = {2347-2693},
pages = {88-96},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=13},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=13
TI - Classification Rule Generation for Diabetic Patients using Rough Set Approach
T2 - International Journal of Computer Sciences and Engineering
AU - Kasturi Ghosh , Sripati Mukhopadhyay
PY - 2015
DA - 2015/02/18
PB - IJCSE, Indore, INDIA
SP - 88-96
IS - 01
VL - 03
SN - 2347-2693
ER -

           

Abstract

Classification rule-generation is a Data Mining activity. A supervised process uses a training data set to generate the rules. The objective is to predict a predefined class or goal attribute, which can never appear in the antecedent part of a rule. The generated rules are used to predict the class attribute of an unknown test data set. In this paper we have tried to generate classification rule for diabetic patients using Rough set. This present research work relates Data mining to Health Informatics. The proposed algorithm generates the different classification rules related to predict insulin dose depending upon blood glucose measurement and helps in diabetes monitoring.

Key-Words / Index Term

Data Mining, Rough Set, Indiscernibility, Reduct, Decision tables and decision algorithms, Classification Rule

References

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[3] I. S. Jacobs P. Prabhavathy, Dr. B. K. Tripathy, “An Efficient Rough Set Approach in Querying Covering Based Relational Databases”, International Journal of Computer Science and Business Informatics, Vol. 1, No. 1, ISSN: 1694- 2108 , MAY 2013
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[9] https://archive.ics.uci.edu/ml/datasets/Diabetes