A design and implementation of heart disease prediction model using data and ECG signal through hybrid clustering-Reference-Cited by-同舟云学术

A design and implementation of heart disease prediction model using data and ECG signal through hybrid clustering

Published:2022-12-22 Issue: Volume: Page:1-17
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Sonawane Ritesh¹,Patil Hitendra¹

Affiliation:

1. Computer Engineering, S.S.V.P.S B.S.Deore College of Engineering, Dhule, Maharashtra, India

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2022.2156927

Reference52 articles.

1. Analysis and classification of heart diseases using heartbeat features and machine learning algorithms

2. An Automated Diagnostic System for Heart Disease Prediction Based on ${\chi^{2}}$ Statistical Model and Optimally Configured Deep Neural Network

3. An Optimally Configured and Improved Deep Belief Network (OCI-DBN) Approach for Heart Disease Prediction Based on Ruzzo–Tompa and Stacked Genetic Algorithm

4. Ambati LS, El-Gayar O. 2021. Human Activity Recognition: a Comparison of Machine Learning Approaches. J of the Midwest Association for Infor Syst; p. 1.

5. Identification of significant features and data mining techniques in predicting heart disease

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1. Comprehensive evaluation and performance analysis of machine learning in heart disease prediction;Scientific Reports;2024-04-03

2. ECG Based Heart Disease Classification: Advancement and Review of Techniques;Procedia Computer Science;2024