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Heart Disease Prediction System Using Convolutional Neural Networks

V. Krishnaiah1

  1. Dept. of Computer Science and Engineering, Neil Gogte Institute of Technology, Affiliated by Osmania University, Kachawanisingaram (Village), Uppal, Hyderabad, Telangana State, India, 500088..

Section:Research Paper, Product Type: Journal Paper
Volume-12 , Issue-1 , Page no. 8-15, Jan-2024

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v12i1.815

Online published on Jan 31, 2024

Copyright © V. Krishnaiah . 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: V. Krishnaiah, “Heart Disease Prediction System Using Convolutional Neural Networks,” International Journal of Computer Sciences and Engineering, Vol.12, Issue.1, pp.8-15, 2024.

MLA Style Citation: V. Krishnaiah "Heart Disease Prediction System Using Convolutional Neural Networks." International Journal of Computer Sciences and Engineering 12.1 (2024): 8-15.

APA Style Citation: V. Krishnaiah, (2024). Heart Disease Prediction System Using Convolutional Neural Networks. International Journal of Computer Sciences and Engineering, 12(1), 8-15.

BibTex Style Citation:
@article{Krishnaiah_2024,
author = {V. Krishnaiah},
title = {Heart Disease Prediction System Using Convolutional Neural Networks},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2024},
volume = {12},
Issue = {1},
month = {1},
year = {2024},
issn = {2347-2693},
pages = {8-15},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5657},
doi = {https://doi.org/10.26438/ijcse/v12i1.815}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v12i1.815}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5657
TI - Heart Disease Prediction System Using Convolutional Neural Networks
T2 - International Journal of Computer Sciences and Engineering
AU - V. Krishnaiah
PY - 2024
DA - 2024/01/31
PB - IJCSE, Indore, INDIA
SP - 8-15
IS - 1
VL - 12
SN - 2347-2693
ER -

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Abstract

Now a days, based on different reasons heart diseases are increasing rapidly. If we find out or identify the heart diseases in human beings at an early stage, it is easy to prevent the disease and help the patients. Even though cardiologists and health centers gather relevant data and information every day, but, not applying the knowledge of machine learning algorithms to retrieve valuable of prediction. The main objective of this research is to predict and classify heart diseases by using proposed convolutional neural network classifier. In this classification of evaluation process, feed forward process and back propagation methods will be applied in between the hidden layers. Due to this, the proposed CNN classifier gives best accuracy. By applying this trained classifier has identified the given data, which are either normal or abnormal. So, the entire research has been implemented in Python which produced good results.

Key-Words / Index Term

Deep Learning, Classification, Convolutional Neural Network, Heart Disease

References

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