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Soft Computing for Biomedical Applications and Related Topics

  • Book
  • © 2021

Overview

  • Discusses recent research on soft computing for biomedical applications and related topics
  • Presents applications and technical aspects of soft computing for biomedical problems
  • Intended for practitioners and researchers alike, introducing them to the latest soft computing techniques

Part of the book series: Studies in Computational Intelligence (SCI, volume 899)

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Table of contents (27 chapters)

  1. Invited Papers

  2. Regular Papers

Keywords

About this book

This book presents innovative intelligent techniques, with an emphasis on their biomedical applications. Although many medical doctors are willing to share their knowledge – e.g. by incorporating it in computer-based advisory systems that can benefit other doctors – this knowledge is often expressed using imprecise (fuzzy) words from natural language such as “small,” which are difficult for computers to process. Accordingly, we need fuzzy techniques to handle such words. It is also desirable to extract general recommendations from the records of medical doctors’ decisions – by using machine learning techniques such as neural networks. The book describes state-of-the-art fuzzy, neural, and other techniques, especially those that are now being used, or potentially could be used, in biomedical applications. Accordingly, it will benefit all researchers and students interested in the latest developments, as well as practitioners who want to learn about new techniques. 



Editors and Affiliations

  • Department of Computer Science, University of Texas at El Paso, El Paso, USA

    Vladik Kreinovich

  • Informatics Division, Thang Long University, Hanoi, Vietnam

    Nguyen Hoang Phuong

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