Diabetes Mellitus Prediction on Obese Adult Ladies Using Data Mining Techniques

Authors

  • Thomas M Dept. of Computer Science, Christ University, Bengaluru, India
  • Chandra J Dept. of Computer Science, Christ University, Bengaluru, India

DOI:

https://doi.org/10.26438/ijcse/v6i10.101107

Keywords:

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

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.

References

[1] D. A Kumar and R. Govindasamy,” Performance and Evaluation of Classification Data Mining Techniques in Diabetes”, International Journal of Computer Science and Information Technologies, Vol. 6 (2), 2015.

[2] Chandra. J, Nachamai.M, and A.S Pillai, “Predicting Cervical Carcinoma Stages Identification Using SVM Classifier”, International Journal of Computer Trends and Technology, Volume (22) Number( 3), 2015.

[3] C.Shah, A.G. Jivani,” Comparison of Data Mining Classification Algorithms for Breast Cancer Prediction”, IEEE – 31661

[4] D.Tomar and S.Agarwal ,“A survey on Data Mining approaches for Healthcare”, International Journal of Bio-Science and Bio-Technology,Vol(5), No(5), pp. 241-266,2013.

[5] G.Kaur and A.Chhabra,”Improves J48 classification algorithm for prediction of diabetes”, International journal of computer Applications,Volume(98) ,No(22), July 2014.

[6] G.K.M.Nookala, B.K.Pottumuthu, N.Orsu, and S.B. Mudunuri,” Performance Analysis and Evaluation of Different Data Mining Algorithms used for Cancer Classification”, International Journal of Advanced Research in Artificial Intelligence,Vol(2), No(5), 2013.

[7] M.A. Khaleel, S. K. Pradham, G.N. Dash,” A Survey of Data Mining Techniques on Medical Data for Finding Locally Frequent Diseases”, International Journal of Advanced Research in Computer Science and Software Engineering, Volume(3), Issue(8), August 2013.

[8] M.kumari, R.Vohra ,Anshularora,” Prediction of Diabetes Using Bayesian Network”, International Journal of Computer Science and Information Technologies, Volume(5), Number(4) , pp(5174-5178), 2014.

[9] N.Nandkumarsakhare, s.joshy, “Classification of Criminal Data Using J48 Decision”, International journal forum of researchers students and Academician,2012

[10]V.Karthikeyan, I.ParvinBegum, K.Tajudin, I.S.Begam, ”comparative of data mining classification algorithm(CDMCA)in diabetes disease prediction”,International journal of computer applications(0975-8887) Volume(60),No.(12),December 2012.

Downloads

Published

2025-11-17
CITATION
DOI: 10.26438/ijcse/v6i10.101107
Published: 2025-11-17

How to Cite

[1]
M. Thomas and J. Chandra, “Diabetes Mellitus Prediction on Obese Adult Ladies Using Data Mining Techniques”, Int. J. Comp. Sci. Eng., vol. 6, no. 10, pp. 101–107, Nov. 2025.

Issue

Vol. 6 No. 10 (2018): IJCSE October Edition

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.