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

<Previous Article In Volume
Next Article In Volume>

AI-Powered Early Detection of Cardiovascular Diseases Using Deep Learning Algorithms

Authors
G. S. Pradeep Ghantasala1, *, Nalli Vinaya Kumari2, Pellakuri Vidyullatha3, R. Rajesh Sharma1, Akey Sungheetha1, Suresh Kalllam4, Gaganpreet Kaur5
1Department of Computer Science and Engineering, Alliance University, Bengaluru, India
2Department of Computer Science and Engineering, Malla Reddy Engineering College for Women, JNTUH, Hyderabad, India
3Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Guntur, AP, India
4School of Computer Science and Engineering, Jain Deemed to be University, Bengaluru, India
5Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India
*Corresponding author. Email: ggspradeep@gmail.com
Corresponding Author
G. S. Pradeep Ghantasala
Available Online 22 June 2025.
DOI
10.2991/978-94-6463-738-0_21How to use a DOI?
Keywords
Cardiovascular Disease; Deep Learning; Algorithm; Support Vector Machines (SVMs); Machine Learning
Abstract

In this paper explores the purpose for deep learning algorithms in the early recognition of cardiovascular diseases (CVDs). With CVDs being a indicating source of transience worldwide, early diagnosis is critical for successful treatment and prevention. In order to locate feasible risks and early signs of cardiovascular problems, the observe examines the state of deep learning models now in use for the evaluation of affected person data, clinical imaging, and electrocardiograms (ECGs). Results from experiments display how properly those models work to enhance patient results and diagnostic precision.

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 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_21How 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  - G. S. Pradeep Ghantasala
AU  - Nalli Vinaya Kumari
AU  - Pellakuri Vidyullatha
AU  - R. Rajesh Sharma
AU  - Akey Sungheetha
AU  - Suresh Kalllam
AU  - Gaganpreet Kaur
PY  - 2025
DA  - 2025/06/22
TI  - AI-Powered Early Detection of Cardiovascular Diseases Using Deep Learning Algorithms
BT  - Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
PB  - Atlantis Press
SP  - 255
EP  - 261
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-738-0_21
DO  - 10.2991/978-94-6463-738-0_21
ID  - Ghantasala2025
ER  -