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Diagnosis of Cardiovascular Diseases using Artificial Intelligence Techniques: A Review

by Tazeen Tasneem, Mir Md. Jahangir Kabir, Shuxiang Xu, Tabeen Tasneem
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 3
Year of Publication: 2021
Authors: Tazeen Tasneem, Mir Md. Jahangir Kabir, Shuxiang Xu, Tabeen Tasneem
10.5120/ijca2021921313

Tazeen Tasneem, Mir Md. Jahangir Kabir, Shuxiang Xu, Tabeen Tasneem . Diagnosis of Cardiovascular Diseases using Artificial Intelligence Techniques: A Review. International Journal of Computer Applications. 183, 3 ( May 2021), 1-25. DOI=10.5120/ijca2021921313

@article{ 10.5120/ijca2021921313,
author = { Tazeen Tasneem, Mir Md. Jahangir Kabir, Shuxiang Xu, Tabeen Tasneem },
title = { Diagnosis of Cardiovascular Diseases using Artificial Intelligence Techniques: A Review },
journal = { International Journal of Computer Applications },
issue_date = { May 2021 },
volume = { 183 },
number = { 3 },
month = { May },
year = { 2021 },
issn = { 0975-8887 },
pages = { 1-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number3/31905-2021921313/ },
doi = { 10.5120/ijca2021921313 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:15:43.995295+05:30
%A Tazeen Tasneem
%A Mir Md. Jahangir Kabir
%A Shuxiang Xu
%A Tabeen Tasneem
%T Diagnosis of Cardiovascular Diseases using Artificial Intelligence Techniques: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 3
%P 1-25
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the last couple of decades, many techniques have been introduced for medical support system. One alarming field in medical health care is cardiovascular disease as millions of deaths occur every year because of this. Thus, diagnosis of heart disease has always been one of the most important issues. For predicting and diagnosis of cardiovascular disease, skilled and experienced physicians are needed. As this is an era of technology, researchers have been proposed many algorithms and learning techniques for assisting the physicians. The aim of this research work is to thoroughly analyze these algorithms and methods. This article has explored the used datasets, feature selection techniques and missing value imputation methods, and finally compared their performances.

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Index Terms

Computer Science
Information Sciences

Keywords

Cardiovascular disease Feature selection Missing value imputation Artificial Neural Network Classification

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