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Rohit Bharti, Aditya Khamparia, Mohammad Shabaz, Gaurav Dhiman, Sagar Dhanraj Pande, Parneet Singh
The correct prediction of heart disease can prevent life threats, and incorrect prediction can prove to be fatal at the same time. In this paper different machine learning algorithms and deep learning are applied to compare the results and analysis of the UCI Machine Learning Heart Disease dataset. The dataset consists of 14 main attributes used for performing the analysis. Various promising results are achieved and are validated using accuracy and confusion matrix. The dataset consists of some irrelevant features which are handled using Isolation Forest, and data are also normalized for getting better results. And how this study can be combined with some multimedia technology like mobile devices is also discussed. Using deep learning approach, 94.2% accuracy was obtained.
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Bharti, R., Khamparia, A., Shabaz, M., Dhiman, G., Pande, S. D., & Singh, P. (2021). Prediction of Heart Disease Using a Combination of Machine Learning and Deep Learning. Computational Intelligence and Neuroscience, 2021(1), 8387680. https://doi.org/10.1155/2021/8387680
Bharti, Rohit, et al. "Prediction of Heart Disease Using a Combination of Machine Learning and Deep Learning." Computational Intelligence and Neuroscience, vol. 2021, no. 1, 2021, pp. 8387680, https://doi.org/10.1155/2021/8387680.
Bharti, Rohit, Aditya Khamparia, Mohammad Shabaz, Gaurav Dhiman, Sagar Dhanraj Pande, and Parneet Singh. "Prediction of Heart Disease Using a Combination of Machine Learning and Deep Learning." Computational Intelligence and Neuroscience 2021, no. 1 (2021): 8387680. https://doi.org/10.1155/2021/8387680.
Bharti R., Khamparia A., Shabaz M. [и др.] Prediction of Heart Disease Using a Combination of Machine Learning and Deep Learning // Computational Intelligence and Neuroscience. — 2021. — Vol. 2021, № 1. — P. 8387680. — URL: https://doi.org/10.1155/2021/8387680
@article{bharti2021prediction,
title = {{Prediction of Heart Disease Using a Combination of Machine Learning and Deep Learning}},
author = {Rohit Bharti and Aditya Khamparia and Mohammad Shabaz and Gaurav Dhiman and Sagar Dhanraj Pande and Parneet Singh},
journal = {Computational Intelligence and Neuroscience},
year = {2021},
volume = {2021},
number = {1},
pages = {8387680},
doi = {10.1155/2021/8387680},
url = {https://doi.org/10.1155/2021/8387680}
}TY - JOUR AU - Bharti, Rohit AU - Khamparia, Aditya AU - Shabaz, Mohammad AU - Dhiman, Gaurav AU - Pande, Sagar Dhanraj AU - Singh, Parneet TI - Prediction of Heart Disease Using a Combination of Machine Learning and Deep Learning JO - Computational Intelligence and Neuroscience VL - 2021 IS - 1 SP - 8387680 PY - 2021 DA - 2021/01/01 DO - 10.1155/2021/8387680 UR - https://doi.org/10.1155/2021/8387680 ER -
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