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Reseach Article

New Improved Genetic Algorithm for Coronary Heart Disease Prediction

by Waheeda Dhokley, Tahreem Ansari, Naeema Fazlani, Heena Mohd.Hafeez
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 136 - Number 5
Year of Publication: 2016
Authors: Waheeda Dhokley, Tahreem Ansari, Naeema Fazlani, Heena Mohd.Hafeez
10.5120/ijca2016908419

Waheeda Dhokley, Tahreem Ansari, Naeema Fazlani, Heena Mohd.Hafeez . New Improved Genetic Algorithm for Coronary Heart Disease Prediction. International Journal of Computer Applications. 136, 5 ( February 2016), 34-37. DOI=10.5120/ijca2016908419

@article{ 10.5120/ijca2016908419,
author = { Waheeda Dhokley, Tahreem Ansari, Naeema Fazlani, Heena Mohd.Hafeez },
title = { New Improved Genetic Algorithm for Coronary Heart Disease Prediction },
journal = { International Journal of Computer Applications },
issue_date = { February 2016 },
volume = { 136 },
number = { 5 },
month = { February },
year = { 2016 },
issn = { 0975-8887 },
pages = { 34-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume136/number5/24152-2016908419/ },
doi = { 10.5120/ijca2016908419 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:36:14.809775+05:30
%A Waheeda Dhokley
%A Tahreem Ansari
%A Naeema Fazlani
%A Heena Mohd.Hafeez
%T New Improved Genetic Algorithm for Coronary Heart Disease Prediction
%J International Journal of Computer Applications
%@ 0975-8887
%V 136
%N 5
%P 34-37
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Heart disease prediction is treated as most complicated task in the field of medical sciences. Thus there arises a need to build a decision support system for detecting heart disease of a patient. Almost all system predicting heart disease use inputs from complex tests conducted in labs. In this project we are developing a system which will predict heart based on the risk factors such as tobacco, smoking, alcohol intake, age, family history, diabetes, hypertension, high cholesterol, physical inactivity, obesity. These common risk factors can be used effectively for diagnosis of heart disease[1]. System based on the such risk factors would not only help medical professionals but it would give patients a warning about the probable presence of the heart disease even before he/she visits a hospital or goes for costly medical checkups.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Genetic Algorithm Coronary Heart Disease Prediction