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© 2021

Soft Computing for Biomedical Applications and Related Topics

  • Vladik Kreinovich
  • Nguyen Hoang Phuong
  • 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

Book

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

Table of contents

  1. Front Matter
    Pages i-ix
  2. Invited Papers

    1. Front Matter
      Pages 1-1
    2. Kaoru Hirota, Fangyan Dong, Jesus A. Garcia Sanchez
      Pages 3-9
    3. Chih-Wei Huang, Alex P. A. Nguyen, Chieh-Chen Wu, Hsuan-Chia Yang, Yu-Chuan (Jack) Li
      Pages 11-18
    4. Vishaal Munusamy Kabilan, Brandon Morris, Hoang-Phuong Nguyen, Anh Nguyen
      Pages 19-35
    5. Walter Koller, Andrea Rappelsberger, Birgit Willinger, Gabriel Kleinoscheg, Klaus-Peter Adlassnig
      Pages 37-48
    6. Olga Kosheleva, Vladik Kreinovich, Hoang Phuong Nguyen
      Pages 49-59
    7. Vladik Kreinovich, Olga Kosheleva, Hoang Phuong Nguyen
      Pages 61-65
    8. Christian Servin, Olga Kosheleva, Vladik Kreinovich
      Pages 67-79
    9. Shahriar Shakir Sumit, Junzo Watada, Fatema Nasrin, Nafiz Ishtiaque Ahmed, D. R. A. Rambli
      Pages 81-88
    10. Julia Zeckl, Matthias Wastian, Dominik Brunmeir, Andrea Rappelsberger, Sergei B. Arseniev, Klaus-Peter Adlassnig
      Pages 89-99
  3. Regular Papers

    1. Front Matter
      Pages 101-101
    2. Hoang Phuong Nguyen, Lam Tung Vu, Thuy Hong Truong, Kaoru Hirota
      Pages 127-139
    3. Khang Nguyen, Nga Mai, An Nguyen, Binh P. Nguyen
      Pages 153-168
    4. Pham Quang Huy, Dao Nam Anh
      Pages 183-195
    5. Long Bui, Thai Son Ha, Ngoc Ha Nguyen, Khandmaa Sukhbaatar, My Hanh Bui
      Pages 197-204

About this book

Introduction

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. 


Keywords

Fuzzy Systems Neural Networks Machine Learning Soft Computing Soft Computing for Biomedical Applications

Editors and affiliations

  • Vladik Kreinovich
    • 1
  • Nguyen Hoang Phuong
    • 2
  1. 1.Department of Computer ScienceUniversity of Texas at El PasoEl PasoUSA
  2. 2.Informatics DivisionThang Long UniversityHanoiVietnam

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