Analysis and Solutions of Silent Heart Attack Using Python

Authors

  • Sharma BTech, CSE, Chandigarh University, Punjab, India
  • Kaur S Assistant professor, Chandigarh University, Punjab, India

DOI:

https://doi.org/10.26438/ijcse/v10i1.3740

Keywords:

predict, silent heart attacK, analyze

Abstract

We live in the twenty-first century, which is full of computers and electrical technologies that make human existence simpler. Artificial intelligence and machine learning are crucial in making life simpler for humans. In contrast, several ailments have evolved as a result of making life simpler, one of which is silent heart attack. Although there are medical treatments for this condition, there are only a few approaches that can forecast the silent heart. We can create models that can predict and detect heart attacks using artificial intelligence and machine learning. Some analysis has been done in this research while working on the road of predicting and detecting heart disease. Artificial neural network techniques are applied. Age , sex , cholesterol are some of the parameters that are set to predict silent heart attack.

References

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Published

2022-01-31
CITATION
DOI: 10.26438/ijcse/v10i1.3740
Published: 2022-01-31

How to Cite

[1]
B. Sharma and S. Kaur, “Analysis and Solutions of Silent Heart Attack Using Python”, Int. J. Comp. Sci. Eng., vol. 10, no. 1, pp. 37–40, Jan. 2022.

Issue

Vol. 10 No. 1 (2022): IJCSE January Edition

Section

Survey Article

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