Information Resources Management Association

Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Search IRMA Research

navleft

navright

Research IRM Open Access IRMA Journals IRM Books Proceedings Membership

The IRMA Community

Calls for Papers

Online Symposium

Research IRM

Click a keyword to search titles using our InfoSci-OnDemand powered search:

Review on Heart Studies

Review on Heart Studies

View Sample PDF

Copyright: 2014
Pages: 16
Source title: Medical Diagnosis Using Artificial Neural Networks
Source Author(s)/Editor(s): Sara Moein (Washington University in Saint Louis, USA)
DOI: 10.4018/978-1-4666-6146-2.ch009

Keywords: Computer Science & IT / Medical Information Science Reference / Medical Technologies / Neural Networks

Purchase

View Review on Heart Studies on the publisher's website for pricing and purchasing information.

Abstract

For many years, researchers have studied various aspects of heart disorder detecting. Noise removal, feature extraction and optimized approaches for classifications of heart signals are some of the main areas of their studies. In this chapter, some of the previous research on the mentioned areas is collected so that the readers may form a view from the total process of heart disorder detecting.

Related Content

Fundamentals of Graph for Graph Neural Network

Vinod Kumar, Himanshu Prajapati, Sasikala Ponnusamy. © 2023. 18 pages.

Graph Neural Network and Its Applications

Sougatamoy Biswas. © 2023. 14 pages.

Introduction to Graph Neural Network: Types and Applications

Ganga Devi S. V. S.. © 2023. 10 pages.

Graph Classification of Graph Neural Networks

Gotam Singh Lalotra, Ashok Sharma, Barun Kumar Bhatti, Suresh Singh. © 2023. 15 pages.

Adversarial Attacks on Graph Neural Network: Techniques and Countermeasures

Nimish Kumar, Himanshu Verma, Yogesh Kumar Sharma. © 2023. 16 pages.

Fundamental Concepts in Graph Attention Networks

R. Soujanya, Ravi Mohan Sharma, Manish Manish Maheshwari, Divya Prakash Shrivastava. © 2023. 12 pages.

Graph Convolutional Neural Networks for Link Prediction in Social Networks

Nimish Kumar, Himanshu Verma, Yogesh Kumar Sharma. © 2023. 22 pages.

IRMA Offers Over 2,500 Full Text Open Access Research Papers for Free Download Click to Start Searching Free IRM Research!

IRMA Sponsors

Sponsor IGI Global

Sponsor eContentPro

Encyclopedia of Information Science and Technology, Fourth Edition

Body Bottom