IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

A Survey on Various Applications of Artificial Neural Networks in Selected Fields of Healthcare

A Survey on Various Applications of Artificial Neural Networks in Selected Fields of Healthcare
View Sample PDF
Author(s): Wolfgang I. Schollhorn (Westfalische Wilhelms-Universitat Munster, Germany)and Jörg M. Jager (Westfalische Wilhelms-Universitat Munster, Germany)
Copyright: 2006
Pages: 40
Source title: Neural Networks in Healthcare: Potential and Challenges
Source Author(s)/Editor(s): Rezaul Begg (Victoria University, Australia), Joarder Kamruzzaman (Monash University, Australia)and Ruhul Sarker (University of New South Wales, Australia)
DOI: 10.4018/978-1-59140-848-2.ch002

Purchase

View A Survey on Various Applications of Artificial Neural Networks in Selected Fields of Healthcare on the publisher's website for pricing and purchasing information.

Abstract

This chapter gives an overview of artificial neural networks as instruments for processing miscellaneous biomedical signals. A variety of applications are illustrated in several areas of healthcare. The structure of this chapter is rather oriented on medical fields like cardiology, gynecology, or neuromuscular control than on types of neural nets. Many examples demonstrate how neural nets can support the diagnosis and prediction of diseases. However, their content does not claim completeness due to the enormous amount and exponentially increasing number of publications in this field. Besides the potential benefits for healthcare, some remarks on underlying assumptions are also included as well as problems which may occur while applying artificial neural nets. It is hoped that this review gives profound insight into strengths as well as weaknesses of artificial neural networks as tools for processing biomedical signals.

Related Content

Vinod Kumar, Himanshu Prajapati, Sasikala Ponnusamy. © 2023. 18 pages.
Sougatamoy Biswas. © 2023. 14 pages.
Ganga Devi S. V. S.. © 2023. 10 pages.
Gotam Singh Lalotra, Ashok Sharma, Barun Kumar Bhatti, Suresh Singh. © 2023. 15 pages.
Nimish Kumar, Himanshu Verma, Yogesh Kumar Sharma. © 2023. 16 pages.
R. Soujanya, Ravi Mohan Sharma, Manish Manish Maheshwari, Divya Prakash Shrivastava. © 2023. 12 pages.
Nimish Kumar, Himanshu Verma, Yogesh Kumar Sharma. © 2023. 22 pages.
Body Bottom