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Diagnosis of cardiovascular diseases using artificial intelligence techniques: A review

Version 2 2024-09-18, 23:29
Version 1 2023-05-20, 23:24
journal contribution
posted on 2024-09-18, 23:29 authored by T Tasneem, MMJ Kabir, Shuxiang XuShuxiang Xu
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.

History

Publication title

International Journal of Computer Applications

Volume

183

Issue

3

Pagination

1-25

ISSN

0975-8887

Department/School

Information and Communication Technology

Publisher

Foundation of Computer Science

Publication status

  • Published online

Place of publication

United States

Rights statement

Copyright unknown

Socio-economic Objectives

220403 Artificial intelligence

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