Early Detection of Heart Disease through Machine Learning Analysis of Audio Signals

Registration ID: IJNRD_218802

Published ID: IJNRD2404473

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Divyanshu Singh, Abhay Pratap Singh, Aryan Singh, Isha Agrawal, Rahul Kumar

Heart disease, Disease diagnosis, Prediction, Classification techniques, Heartbeat Sound, PSO, GA, BAT, GWO

Heart disease is the world's most pressing issue. Heart disease causes more deaths than any other cause during a first heart attack.However, not just for Heart attacks have been linked to issues with the ventricle, lung cancer, breast cancer, and other conditions. Having a framework that can instantly and effectively identify the prevalence of cardiac disease in thousands of samples is crucial. In this paper the potential of ten classification techniques was evaluated of prediction of heart disease. SVM.CNN, KNN.A variety of machine learning models specifically designed for heart disease prediction make up the suggested method. SVM, K-Nearest Neighbors (KNN), Convolutional Neural Networks (CNN) enhanced with Particle Swarm Optimization (PSO), KNN optimized with Genetic Algorithm (GA), KNN optimized with Bat Algorithm (BAT), and KNN optimized with Grey Wolf Optimization (GWO) are some of these models. Using medical profiles such as a Heart Beat Sound It can forecast a patient's likelihood of developing heart disease. In light of this, the medical community isinterested in identifying and preventing cardiac disease. The investigation has demonstrated that, incomparison to earlier approaches, classificationbased procedures yield more accuracy and contribute with greater effectiveness.

Published Paper   E-Certificate

Divyanshu Singh, Abhay Pratap Singh, Aryan Singh, Isha Agrawal, & Rahul Kumar (April-2024). Early Detection of Heart Disease through Machine Learning Analysis of Audio Signals. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), e704-e709. https://ijnrd.org/papers/IJNRD2404473.pdf

Volume 9 Issue 4, April-2024

Pages : e704-e709

Paper Reg. ID: IJNRD_218802

Published Paper Id: IJNRD2404473

Downloads: 000122016

Research Area: Computer Science & Technology 

Author Type: Indian Author

Country: Mathura, uttar pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404473.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404473

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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