Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025)

<Previous Article In Volume
Next Article In Volume>

Heart Disease Prediction Based on Retinopathy Using Machine Learning: A Comprehensive Analytical Survey

Authors
Aniket Dubey1, *, Amarsinh Vidhate1
1D Y Patil Deemed to Be University, Nerul, India
*Corresponding author. Email: anikettd.9@gmail.com
Corresponding Author
Aniket Dubey
Available Online 19 April 2025.
DOI
10.2991/978-94-6463-700-7_33How to use a DOI?
Keywords
Heart Disease Prediction; Machine Learning; Convolutional Neural Networks; Support Vector Machines; Cardiovascular Risk; Retinal Fundus Images; Early Diagnosis
Abstract

Heart disease remains a leading cause of mortality globally, early detection and preventive measures. Recent studies suggest a correlation between retinopathy and cardiovascular diseases, highlighting the potential for using retinal images as a diagnostic tool for heart disease predictions paper presents a comprehensive approach to compare and heart disease by analyzing retinal fundus images through machine learning techniques also by reviewing the existing models. We compare various algorithms, including Convolutional Neural Networks (CNNs) and support vector machines (SVMs), which is used to extract relevant features from the images and can be used to predict the existence of heart disease. Also indicate the challenges with respect to existing models and the future work to predict cardiovascular risk. This study underscores the importance of integrating ophthalmic assessments into routine cardiovascular evaluations, potentially improving patient outcomes through timely intervention.

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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025)
Series
Advances in Intelligent Systems Research
Publication Date
19 April 2025
ISBN
978-94-6463-700-7
ISSN
1951-6851
DOI
10.2991/978-94-6463-700-7_33How 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  - Aniket Dubey
AU  - Amarsinh Vidhate
PY  - 2025
DA  - 2025/04/19
TI  - Heart Disease Prediction Based on Retinopathy Using Machine Learning: A Comprehensive Analytical Survey
BT  - Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025)
PB  - Atlantis Press
SP  - 416
EP  - 427
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-700-7_33
DO  - 10.2991/978-94-6463-700-7_33
ID  - Dubey2025
ER  -