eCite Digital Repository

Diagnosis of cardiovascular diseases using artificial intelligence techniques: A review

Citation

Tasneem, T and Kabir, MMJ and Xu, S and Tasneem, T, Diagnosis of cardiovascular diseases using artificial intelligence techniques: A review, International Journal of Computer Applications, 183, (3) pp. 1-25. ISSN 0975-8887 (2021) [Refereed Article]


Preview
PDF
Pending copyright assessment - Request a copy
864Kb
  

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.

Item Details

Item Type:Refereed Article
Keywords:artificial Intelligence, classification, cardiovascular disease
Research Division:Information and Computing Sciences
Research Group:Applied computing
Research Field:Applications in health
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Artificial intelligence
UTAS Author:Xu, S (Dr Shuxiang Xu)
ID Code:144398
Year Published:2021
Deposited By:Information and Communication Technology
Deposited On:2021-05-20
Last Modified:2021-05-28
Downloads:3 View Download Statistics

Repository Staff Only: item control page