Improving Coronary Heart Disease Prediction Through Machine Learning and an Innovative Data Augmentation Technique

Author:

Al-Ssulami Abdulrakeeb M.,Alsorori Randh S.,Azmi Aqil M.ORCID,Aboalsamh Hatim

Funder

Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition

Reference39 articles.

1. Siddhartha M. Heart disease dataset (comprehensive). IEEE Dataport. 2020. https://doi.org/10.21227/dz4t-cm36.

2. Wilkins E, Wilson L, Wickramasinghe K, Bhatnagar P, Leal J, Luengo-Fernandez R, et al. European cardiovascular disease statistics 2017. Brussels: European Heart Network; 2017.

3. Mackay J, Mensah G. The atlas of heart disease and stroke. Geneva: World Health Organization; 2004.

4. Virani SS, Alonso A, Aparicio HJ, Benjamin EJ, Bittencourt MS, Callaway CW, et al. Heart disease and stroke statistics-2021 update: A report from the American Heart Association. Circulation. 2021;143(8):e254–743.

5. Durairaj M, Revathi V. Prediction of heart disease using back propagation MLP algorithm. Int J Sci Technol Res. 2015;4(8):235–9.

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