Critical Review on Heart Disease Prediction: A Machine Learning Approach

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Date

2023

Journal Title

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Volume Title

Publisher

Institute of Electrical and Electronics Engineers Inc.

Abstract

The heart is the second-most significant organ in the human body after the brain, which is the most significant organ. All of the body's organs are nourished and the blood is circulated. In the medical field, it might be difficult to anticipate the development of heart diseases. Data analytics is crucial for developing predictions based on new information, and it helps hospitals predict diseases. Every year, cardiovascular diseases account for more than 31 % of all fatalities globally. Different Machine learning algorithms are in this paper to predict heart disease. It presents a general overview of the previous work and offers insight into the current algorithm. © 2023 IEEE.

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Keywords

ANN, Heart Disease, KNN, Machine Learning, SVM

Citation

Proceedings of IEEE 2023 5th International Conference on Advances in Electronics, Computers and Communications, ICAECC 2023, 2023, Vol., , p. -

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