Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)

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Enhancing Healthcare Diagnostics with SVM-Based Machine Learning for Diabetes Prediction

Authors
Uday Jain1, *, Daksh Jain2, Yash Vinaychandra Rana1
1Concordia University, Montreal, QC, Canada
2Bhagwan Parshuram Institute of Technology, New Delhi, India
*Corresponding author.
Corresponding Author
Uday Jain
Available Online 22 June 2025.
DOI
10.2991/978-94-6463-738-0_71How to use a DOI?
Keywords
Diabetes Mellitus (DM); Machine Learning (ML); Support Vector Machine (SVM)
Abstract

Diabetes mellitus (DM) is one of the most pressing health problems facing the world today. Chronically elevated blood glucose levels caused by insulin resistance or insufficiency are a hallmark of diabetes mellitus (DM). Serious issues affecting the heart, kidneys, eyes, nerves, and other vital organs may result from it. Early and accurate detection is crucial to halting its progression and ensuring timely medical intervention. This study uses Support Vector Machine (SVM), a powerful machine learning technique, to increase the prediction accuracy of diabetes diagnosis. A dataset of 1,094 samples—including 700 non-diabetic samples and 394 diabetes cases—was used to train and validate the model. In modern clinical decision-making systems, the proposed SVM-based classifier is useful because of its high cost-effectiveness and reliability.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
Series
Advances in Intelligent Systems Research
Publication Date
22 June 2025
ISBN
978-94-6463-738-0
ISSN
1951-6851
DOI
10.2991/978-94-6463-738-0_71How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Uday Jain
AU  - Daksh Jain
AU  - Yash Vinaychandra Rana
PY  - 2025
DA  - 2025/06/22
TI  - Enhancing Healthcare Diagnostics with SVM-Based Machine Learning for Diabetes Prediction
BT  - Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
PB  - Atlantis Press
SP  - 914
EP  - 924
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-738-0_71
DO  - 10.2991/978-94-6463-738-0_71
ID  - Jain2025
ER  -