Open access peer-reviewed Edited Volume

Artificial Neural Networks

Methodological Advances and Biomedical Applications

Edited by Kenji Suzuki

University of Chicago, United States of America

Artificial neural networks may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications in various areas. The purpose of this book is to provide recent advances of artificial neural networks in biomedical applications. The book begins with fundamentals of artificial neural networks, which cover an introduction, design, and optimization. Advanced architectures for biomedical applications, which offer improved performance and desirable properties, follow. Parts continue with biological applications such as gene, plant biology, and stem cell, medical applications such as skin diseases, sclerosis, anesthesia, and physiotherapy, and clinical and other applications such as clinical outcome, telecare, and pre-med student failure prediction. Thus, this book will be a fundamental source of recent advances and applications of artificial neural networks in biomedical areas. The target audience includes professors and students in engineering and medical schools, researchers and engineers in biomedical industries, medical doctors, and healthcare professionals.

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Artificial Neural NetworksMethodological Advances and Biomedical ApplicationsEdited by Kenji Suzuki

Published: April 11th 2011

DOI: 10.5772/644

ISBN: 978-953-307-243-2

eBook (PDF) ISBN: 978-953-51-4498-4

Copyright year: 2011

Books open for chapter submissions

93406 Total Chapter Downloads

191 Crossref Citations

326 Web of Science Citations

407 Dimensions Citations


Open access peer-reviewed

1. Introduction to the Artificial Neural Networks

By Andrej Krenker, Janez Bešter and Andrej Kos


Open access peer-reviewed

2. Review of Input Variable Selection Methods for Artificial Neural Networks

By Robert May, Graeme Dandy and Holger Maier


Open access peer-reviewed

3. Artificial Neural Networks and Efficient Optimization Techniques for Applications in Engineering

By Rossana M. S. Cruz, Helton M. Peixoto and Rafael M. Magalhães


Open access peer-reviewed

4. Pixel-Based Artificial Neural Networks in Computer-Aided Diagnosis

By Kenji Suzuki


Open access peer-reviewed

5. Applied Artificial Neural Networks: from Associative Memories to Biomedical Applications

By Mahmood Amiri and Katayoun Derakhshandeh


Open access peer-reviewed

6. Medical Image Segmentation Using Artificial Neural Networks

By Mostafa Jabarouti Moghaddam and Hamid Soltanian-Zadeh


Open access peer-reviewed

7. Artificial Neural Networks and Predictive Medicine: a Revolutionary Paradigm Shift

By Enzo Grossi


Open access peer-reviewed

8. Reputation-Based Neural Network Combinations

By Mohammad Nikjoo, Azadeh Kushki, Joon Lee, Catriona Steele and Tom Chau


Open access peer-reviewed

9. Prioritising Genes with an Artificial Neural Network Comprising Medical Documents to Accelerate Positional Cloning in Biological Research

By Norio Kobayashi and Tetsuro Toyoda


Open access peer-reviewed

10. Artificial Neural Networks Technology to Model and Predict Plant Biology Process

By Pedro P. Gallego, Jorge Gago and Mariana Landín


Open access peer-reviewed

11. The Usefulness of Artificial Neural Networks in Predicting the Outcome of Hematopoietic Stem Cell Transplantation

By Giovanni Caocci, Roberto Baccoli and Giorgio La Nasa


Open access peer-reviewed

12. Artificial Neural Networks and Retinal Ganglion Cell Responses

By María P. Bonomini, José M. Ferrández and Eduardo Fernández


Open access peer-reviewed

13. Diagnosing Skin Diseases Using an Artificial Neural Network

By Bakpo, F. S. and Kabari, L. G


Open access peer-reviewed

14. Artificial Neural Networks Used to Study the Evolution of the Multiple Sclerosis

By Tabares Ospina and Hector Anibal


Open access peer-reviewed

15. Estimation the Depth of Anesthesia by the Use of Artificial Neural Network

By Hossein Rabbani, Alireza Mehri Dehnavi and Mehrab Ghanatbari


Open access peer-reviewed

16. Artificial Neural Networks (ANN) Applied for Gait Classification and Physiotherapy Monitoring in Post Stroke Patients

By Katarzyna Kaczmarczyk, Andrzej Wit, Maciej Krawczyk, Jacek Zaborski and Józef Piłsudski


Open access peer-reviewed

17. Forcasting the Clinical Outcome: Artificial Neural Networks or Multivariate Statistical Models?

By Ahmed Akl and Mohamed A Ghoneim


Open access peer-reviewed

18. Telecare Adoption Model Based on Artificial Neural Networks

By Jui-Chen Huang


Open access peer-reviewed

19. Effectiveness of Artificial Neural Networks in Forecasting Failure Risk for Pre-Medical Students

By Jawaher K. Alenezi, Mohammed M. Awny and Maged M. M. Fahmy


Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI
  • BKCI

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