Heart Attack Risk Prediction Using Retinal Eye Images
Abstract & Details
Research Area
Machine Learning
Keywords
Heart Attack Prediction
Retinal Imaging
Deep Learning
CNN
ResNet
Medical Image Processing
Non-Invasive Diagnosis
Artificial Intelligence
Abstract
Cardiovascular diseases (CVDs) are a primary cause of global mortality. Early detection is critical, yet traditional diagnostic methods are often invasive and expensive. This research presents an automated, non-invasive system for heart attack risk prediction using retinal fundus images. By applying Convolutional Neural Networks (CNN) and ResNet architectures, the system identifies microvascular biomarkers associated with cardiac health. Implemented via a Django web framework, the model provides rapid, high-accuracy risk assessment. Results indicate that this AI-driven approach offers a scalable solution for early clinical screening, particularly in underserved regions.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Prasanthi Siri Kuruma | Sphoorthy Engineering college |
| 2 | S. Koushika | Sphoorthy Engineering college |
| 3 | Mr. M. Venkateshwarlu | Sphoorthy Engineering college |
| 4 | P. Sai Teja | Sphoorthy Engineering college |
| 5 | Ch. Shiva | Sphoorthy Engineering college |
| 6 | B. Raju | Sphoorthy Engineering college |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Kuruma, Prasanthi Siri, Koushika, S., Venkateshwarlu, Mr. M., Teja, P. Sai, Shiva, Ch., & Raju, B. (2026). Heart Attack Risk Prediction Using Retinal Eye Images. International Journal of Advance Research and Innovative Ideas In Education, 12(2), 1237-1244.
MLA Style
Kuruma, Prasanthi Siri, et al. "Heart Attack Risk Prediction Using Retinal Eye Images." International Journal of Advance Research and Innovative Ideas In Education, vol. 12, no. 2, 2026, pp. 1237-1244.
IEEE Style
Prasanthi Siri Kuruma, S. Koushika, Mr. M. Venkateshwarlu, P. Sai Teja, Ch. Shiva, and B. Raju, "Heart Attack Risk Prediction Using Retinal Eye Images," International Journal of Advance Research and Innovative Ideas In Education, vol. 12, no. 2, pp. 1237-1244, 2026.
Vancouver Style
Kuruma Prasanthi Siri, Koushika S., Venkateshwarlu Mr. M., Teja P. Sai, Shiva Ch., Raju B.. Heart Attack Risk Prediction Using Retinal Eye Images. International Journal of Advance Research and Innovative Ideas In Education. 2026;12(2):1237-1244.
Harvard Style
Kuruma, Prasanthi Siri, Koushika, S., Venkateshwarlu, Mr. M., Teja, P. Sai, Shiva, Ch., & Raju, B. (2026) 'Heart Attack Risk Prediction Using Retinal Eye Images', International Journal of Advance Research and Innovative Ideas In Education, 12(2), pp. 1237-1244.
Chicago Style
Kuruma, Prasanthi Siri, et al. "Heart Attack Risk Prediction Using Retinal Eye Images." International Journal of Advance Research and Innovative Ideas In Education 12, no. 2 (2026): 1237-1244.
Turabian Style
Kuruma, Prasanthi Siri, et al. "Heart Attack Risk Prediction Using Retinal Eye Images." International Journal of Advance Research and Innovative Ideas In Education 12, no. 2 (2026): 1237-1244.
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