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Title: :  A Hybrid Deep Learning Model for Heart Disease Risk Assessment
PaperId: :  22827
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-22827
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Kaustubh SavallaVasireddy Venkatadri Institute of Technology
Sai Nikhil MopideviVasireddy Venkatadri Institute of Technology
Madhan Kumar MunagalaVasireddy Venkatadri Institute of Technology
Brahma Naidu MadineediVasireddy Venkatadri Institute of Technology

Abstract

Deep Learning
Heart Disease, ECG, Arrythmia, EfficientNetB0, Hybrid deep learning.
Heart diseases remains a leading cause of mortality worldwide, necessitating effective risk assessment methodologies. In this study, we propose a comprehensive approach utilizing both clinical data and electrocardiogram (ECG) images to assess heart disease risk. Our dataset comprises clinical variables such as age, gender, blood pressure, cholesterol levels, along with ECG images depicting various cardiac arrhythmias including ventricular fibrillation (VFib), premature atrial contractions (PAC), premature ventricular contractions (PVC), left bundle branch block (LBBB), and right bundle branch block (RBBB). We employ various Machine Learning models and deep learning architectures, a hybrid model. For the analysis of ECG images, we leverage the power of convolutional neural networks (CNNs) with EfficientNetB0 architecture, known for its efficiency and effectiveness in image classification tasks. Through experimentation and evaluation, we demonstrate the performance of these models in predicting heart disease risk. This project provides insights into the potential of integrating clinical data and ECG images for enhanced risk assessment, contributing to the development of more accurate and personalized diagnostic tools in cardiology.

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IJARIIE Kaustubh Savalla, Sai Nikhil Mopidevi, Madhan Kumar Munagala, and Brahma Naidu Madineedi. "A Hybrid Deep Learning Model for Heart Disease Risk Assessment" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 786-792
MLA Kaustubh Savalla, Sai Nikhil Mopidevi, Madhan Kumar Munagala, and Brahma Naidu Madineedi. "A Hybrid Deep Learning Model for Heart Disease Risk Assessment." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 786-792.
APA Kaustubh Savalla, Sai Nikhil Mopidevi, Madhan Kumar Munagala, & Brahma Naidu Madineedi. (2024). A Hybrid Deep Learning Model for Heart Disease Risk Assessment. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 786-792.
Chicago Kaustubh Savalla, Sai Nikhil Mopidevi, Madhan Kumar Munagala, and Brahma Naidu Madineedi. "A Hybrid Deep Learning Model for Heart Disease Risk Assessment." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 786-792.
Oxford Kaustubh Savalla, Sai Nikhil Mopidevi, Madhan Kumar Munagala, and Brahma Naidu Madineedi. 'A Hybrid Deep Learning Model for Heart Disease Risk Assessment', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 786-792. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/A_Hybrid_Deep_Learning_Model_for_Heart_Disease_Risk_Assessment_ijariie22827.pdf (Accessed : 20 March 2024).
Harvard Kaustubh Savalla, Sai Nikhil Mopidevi, Madhan Kumar Munagala, and Brahma Naidu Madineedi. (2024) 'A Hybrid Deep Learning Model for Heart Disease Risk Assessment', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 786-792IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/A_Hybrid_Deep_Learning_Model_for_Heart_Disease_Risk_Assessment_ijariie22827.pdf (Accessed : 20 March 2024)
IEEE Kaustubh Savalla, Sai Nikhil Mopidevi, Madhan Kumar Munagala, and Brahma Naidu Madineedi, "A Hybrid Deep Learning Model for Heart Disease Risk Assessment," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 786-792, Mar-App 2024. [Online]. Available: http://ijariie.com/AdminUploadPdf/A_Hybrid_Deep_Learning_Model_for_Heart_Disease_Risk_Assessment_ijariie22827.pdf [Accessed : 20 March 2024].
Turabian Kaustubh Savalla, Sai Nikhil Mopidevi, Madhan Kumar Munagala, and Brahma Naidu Madineedi. "A Hybrid Deep Learning Model for Heart Disease Risk Assessment." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 (20 March 2024).
Vancouver Kaustubh Savalla, Sai Nikhil Mopidevi, Madhan Kumar Munagala, and Brahma Naidu Madineedi. A Hybrid Deep Learning Model for Heart Disease Risk Assessment. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : 20 March 2024]; 10(2) : 786-792. Available from: http://ijariie.com/AdminUploadPdf/A_Hybrid_Deep_Learning_Model_for_Heart_Disease_Risk_Assessment_ijariie22827.pdf
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