Performance Comparison of Various Machine Learning Approaches to Identify the Best One in Predicting Heart Disease-Reference-Cited by-同舟云学术

Performance Comparison of Various Machine Learning Approaches to Identify the Best One in Predicting Heart Disease

Published:2022 Issue:02 Volume:10 Page:1-18
ISSN:2327-5219
Container-title:Journal of Computer and Communications
language:
Short-container-title:JCC

Author:

Allah Enas M. Abd,El-Matary Doaa E.,Eid Esraa M.,Dien Adly S. Tag El

Publisher

Scientific Research Publishing, Inc.

Subject

General Medicine

Reference17 articles.

1. Beguma, S., Siddiqueb, F.A. and Tiwaric, R. (2021) A Study for Predicting Heart Disease Using Machine Learning. Turkish Journal of Computer and Mathematics Education, 12, 4584-4592.

2. A decision support system for heart disease prediction based upon machine learning

3. Sharmaa, C., Shambhub, S., Dasb, P. and Sakshid, S.J. (2021) Features Contributing towards Heart Disease Prediction Using Machine Learning. Workshop on Advances in Computational Intelligence at ISIC 2021, Delhi, 25-27 February 2021, 84-92.

4. Patil, P.S. (2021) Automated Heart Disease Recognition System. International Journal of Research in Engineering and Science, 9, 18-23.

5. Choudhary, G. and Singh, S.N. (2020) Prediction of Heart Disease Using Machine Learning Algorithms. 2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT), Chennai, 25-26 April 2019, 197-202.

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