Prediction of Diabetes using Support Vector Machine

Ajay Kumar Tiwari, Avadhesh Kumar Dixit, Piyush Rai

2021

Abstract

Diabetes is a very common disease in the world. If diabetes is detected in the early stage, it can be cured easily. Several machine learning techniques are available to predict diabetes in an earlier stage using a data set. This paper proposes support vector machine based methods to predict diabetes. This paper also provides the comparative analysis of Naive Bayes, SVM, KNN, Random Forest, Logistic Regression and Decision Tree to predict diabetes. In this paper the proposed SVM based approach achieved the accuracy 77.08% that is better in compare to other machine learning based approaches.

Paper Citation

in Harvard Style

Tiwari A., Dixit A. and Rai P. (2021). Prediction of Diabetes using Support Vector Machine. In Proceedings of the 3rd International Conference on Advanced Computing and Software Engineering - Volume 1: ICACSE, ISBN 978-989-758-544-9, pages 119-122. DOI: 10.5220/0010563800003161

in Bibtex Style

@conference{icacse21,
author={Ajay Kumar Tiwari and Avadhesh Kumar Dixit and Piyush Rai},
title={Prediction of Diabetes using Support Vector Machine},
booktitle={Proceedings of the 3rd International Conference on Advanced Computing and Software Engineering - Volume 1: ICACSE,},
year={2021},
pages={119-122},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010563800003161},
isbn={978-989-758-544-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Advanced Computing and Software Engineering - Volume 1: ICACSE,
TI - Prediction of Diabetes using Support Vector Machine
SN - 978-989-758-544-9
AU - Tiwari A.
AU - Dixit A.
AU - Rai P.
PY - 2021
SP - 119
EP - 122
DO - 10.5220/0010563800003161