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Analysis and Solutions of Silent Heart Attack Using Python

Bhuvan Sharma1 , Spinder Kaur2

Section:Survey Paper, Product Type: Journal Paper
Volume-10 , Issue-1 , Page no. 37-40, Jan-2022

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v10i1.3740

Online published on Jan 31, 2022

Copyright © Bhuvan Sharma, Spinder Kaur . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Bhuvan Sharma, Spinder Kaur, “Analysis and Solutions of Silent Heart Attack Using Python,” International Journal of Computer Sciences and Engineering, Vol.10, Issue.1, pp.37-40, 2022.

MLA Style Citation: Bhuvan Sharma, Spinder Kaur "Analysis and Solutions of Silent Heart Attack Using Python." International Journal of Computer Sciences and Engineering 10.1 (2022): 37-40.

APA Style Citation: Bhuvan Sharma, Spinder Kaur, (2022). Analysis and Solutions of Silent Heart Attack Using Python. International Journal of Computer Sciences and Engineering, 10(1), 37-40.

BibTex Style Citation:
@article{Sharma_2022,
author = {Bhuvan Sharma, Spinder Kaur},
title = {Analysis and Solutions of Silent Heart Attack Using Python},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2022},
volume = {10},
Issue = {1},
month = {1},
year = {2022},
issn = {2347-2693},
pages = {37-40},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5434},
doi = {https://doi.org/10.26438/ijcse/v10i1.3740}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v10i1.3740}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5434
TI - Analysis and Solutions of Silent Heart Attack Using Python
T2 - International Journal of Computer Sciences and Engineering
AU - Bhuvan Sharma, Spinder Kaur
PY - 2022
DA - 2022/01/31
PB - IJCSE, Indore, INDIA
SP - 37-40
IS - 1
VL - 10
SN - 2347-2693
ER -

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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.

Key-Words / Index Term

predict, silent heart attack, analyze

References

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