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Diabetes Mellitus Prediction on Obese Adult Ladies Using Data Mining Techniques

Manumol Thomas1 , Chandra J2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-10 , Page no. 101-107, Oct-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i10.101107

Online published on Oct 31, 2018

Copyright © Manumol Thomas, Chandra J . 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: Manumol Thomas, Chandra J, “Diabetes Mellitus Prediction on Obese Adult Ladies Using Data Mining Techniques,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.10, pp.101-107, 2018.

MLA Style Citation: Manumol Thomas, Chandra J "Diabetes Mellitus Prediction on Obese Adult Ladies Using Data Mining Techniques." International Journal of Computer Sciences and Engineering 6.10 (2018): 101-107.

APA Style Citation: Manumol Thomas, Chandra J, (2018). Diabetes Mellitus Prediction on Obese Adult Ladies Using Data Mining Techniques. International Journal of Computer Sciences and Engineering, 6(10), 101-107.

BibTex Style Citation:
@article{Thomas_2018,
author = {Manumol Thomas, Chandra J},
title = {Diabetes Mellitus Prediction on Obese Adult Ladies Using Data Mining Techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2018},
volume = {6},
Issue = {10},
month = {10},
year = {2018},
issn = {2347-2693},
pages = {101-107},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2988},
doi = {https://doi.org/10.26438/ijcse/v6i10.101107}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i10.101107}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2988
TI - Diabetes Mellitus Prediction on Obese Adult Ladies Using Data Mining Techniques
T2 - International Journal of Computer Sciences and Engineering
AU - Manumol Thomas, Chandra J
PY - 2018
DA - 2018/10/31
PB - IJCSE, Indore, INDIA
SP - 101-107
IS - 10
VL - 6
SN - 2347-2693
ER -

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Abstract

The research deals with prediction of Diabetes Mellitus in Pregnant and Non pregnant obese adult ladies using the data mining classification algorithms such as J48, Naïve Bayes, and SVM. Comparative study of classification algorithm is done by using Naïve Bayes, J48 and SVM. The results obtained by J48 and Naïve Bayes were found to be more satisfactory when compared to SVM classification. Naïve Bayes and J48 can be used as a predictor classifier for doing the diabetes mellitus prediction.

Key-Words / Index Term

Medical data mining, Support Vector Machine, J48, Naïve Bayes, Diabetes mellitus

References

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