IEEE Style Citation: Raechel Baby, Nisha Elsa Varghese, Anju S James, Athulya Chandran, Anna Liya Mathew, “Smart Heart Consulting System,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.679-683, 2019.
MLA Style Citation: Raechel Baby, Nisha Elsa Varghese, Anju S James, Athulya Chandran, Anna Liya Mathew "Smart Heart Consulting System." International Journal of Computer Sciences and Engineering 7.5 (2019): 679-683.
APA Style Citation: Raechel Baby, Nisha Elsa Varghese, Anju S James, Athulya Chandran, Anna Liya Mathew, (2019). Smart Heart Consulting System. International Journal of Computer Sciences and Engineering, 7(5), 679-683.
BibTex Style Citation:
@article{Baby_2019,
author = {Raechel Baby, Nisha Elsa Varghese, Anju S James, Athulya Chandran, Anna Liya Mathew},
title = {Smart Heart Consulting System},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {679-683},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4299},
doi = {https://doi.org/10.26438/ijcse/v7i5.679683}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.679683}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4299
TI - Smart Heart Consulting System
T2 - International Journal of Computer Sciences and Engineering
AU - Raechel Baby, Nisha Elsa Varghese, Anju S James, Athulya Chandran, Anna Liya Mathew
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 679-683
IS - 5
VL - 7
SN - 2347-2693
ER -
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Abstract
Heart is the major organ comparing to other organs in the human body. It pumps the blood and supplies to all organs of the whole body. It is a significant work to predict the heart disease. Accurate and on time diagnosis of heart disease is important for heart failure prevention and treatment. Detecting heart disease is one of the major issue. Heart disease diagnosis is a very complex task which requires much experience and knowledge. Since heart is the most important part of human body, one should have healthy heart for their lifetime. Heart disease is a prevailing disease nowadays. The cost of diagnosis itself is very large and due to this many people who are not financially affordable step back from early diagnosis. Hospitals and clinic have a huge amount of patient data over years, and these data can be used for analysis of risk factors of many disease. Artificial neural network has emerged as an important tool for classification, they helps for efficient classification of given data. In this SMART HEART CONSULTING SYSTEM, we are proposing a prediction system for heart disease using artificial neural network. The proposed system is using 13 attributes and 80 datasets. Here in the system the user gives results of various clinical tests and the system provides the chances for heart disease.
Key-Words / Index Term
ANN, Backpropagation algorithm, ECG
References
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[8] S.Maheswari et,” Heart disease prediction system using decision tree and naïve bayes algorithm”.
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