Comparative analysis of Machine Learning Techniques for the Detection of Heart Disease-Reference-Cited by-同舟云学术

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Comparative analysis of Machine Learning Techniques for the Detection of Heart Disease

Published:2024-04-02 Issue: Volume:23 Page:1-8
ISSN:
Container-title:2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG)
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Author:

Adeniyi Jide Kehinde¹,Adeniyi Tunde Taiwo²,Adeniyi Emmanuel Abidemi³,Abiodun Moses Kazeem⁴,Awotunde Joseph Bamidele²

Affiliation:

1. Landmark University,SDG 9: Industry, Innovation and Infrastructure,Dept. of Computer Science

2. University of Ilorin,Dept. of Computer Science

3. Bowen University,Dept. of Computer Science,Iwo,Nigeria

4. Landmark University,SDG 10: Reduced Inequality,Dept. of Computer Science,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10629651/10629654/10630392.pdf?arnumber=10630392

Reference27 articles.

1. Efficient Data-Driven Machine Learning Models for Cardiovascular Diseases Risk Prediction;Dritsas,2023

2. In Healthcare Application of Machine Learning Algorithms for Prediction of Heart Attacks;Seslier;J. Sci. Reports,2022

3. A Relative Study of Heart Disease Prediction Using Machine Learning Techniques;Singh;Int. J. IT Knowl. Manag,2022

4. Prevention and Treatment of Cardiovascular Diseases with Plant Phytochemicals: A Review

5. A Comprehensive Review on Monitoring and Prediction Techniques for Heart Disease using Deep Learning and IoT;Arya,2023

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