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  • Book
  • © 2021

Soft Computing for Biomedical Applications and Related Topics

  • 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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eBook USD 139.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-49536-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 179.99
Price excludes VAT (USA)
Hardcover Book USD 179.99
Price excludes VAT (USA)

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Table of contents (27 chapters)

  1. Front Matter

    Pages i-ix
  2. Invited Papers

    1. Front Matter

      Pages 1-1
    2. Multiagent Smart Communication Based on CI Technology

      • Kaoru Hirota, Fangyan Dong, Jesus A. Garcia Sanchez
      Pages 3-9
    3. Develop a Prediction Model for Nonmelanoma Skin Cancer Using Deep Learning in EHR Data

      • Chih-Wei Huang, Alex P. A. Nguyen, Chieh-Chen Wu, Hsuan-Chia Yang, Yu-Chuan (Jack) Li
      Pages 11-18
    4. VectorDefense: Vectorization as a Defense to Adversarial Examples

      • Vishaal Munusamy Kabilan, Brandon Morris, Hoang-Phuong Nguyen, Anh Nguyen
      Pages 19-35
    5. Artificial Intelligence in Infection Control—Healthcare Institutions Need Intelligent Information and Communication Technologies for Surveillance and Benchmarking

      • Walter Koller, Andrea Rappelsberger, Birgit Willinger, Gabriel Kleinoscheg, Klaus-Peter Adlassnig
      Pages 37-48
    6. Why Some Non-classical Logics Are More Studied?

      • Olga Kosheleva, Vladik Kreinovich, Hoang Phuong Nguyen
      Pages 49-59
    7. Why h-Index

      • Vladik Kreinovich, Olga Kosheleva, Hoang Phuong Nguyen
      Pages 61-65
    8. Accuracy of Data Fusion: Interval (and Fuzzy) Case

      • Christian Servin, Olga Kosheleva, Vladik Kreinovich
      Pages 67-79
    9. Imputing Missing Values: Reinforcement Bayesian Regression and Random Forest

      • Shahriar Shakir Sumit, Junzo Watada, Fatema Nasrin, Nafiz Ishtiaque Ahmed, D. R. A. Rambli
      Pages 81-88
    10. From Machine Learning to Knowledge-Based Decision Support—A Predictive-Model-Markup-Language-to-Arden-Syntax Transformer for Decision Trees

      • 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. ESYNDIAG: A Fuzzy Expert System for Eight Syndrome Diagnosis in Traditional Vietnamese Medicine

      • Hoang Phuong Nguyen, Lam Tung Vu, Thuy Hong Truong, Kaoru Hirota
      Pages 127-139
    3. Prediction of Wart Treatment Using Deep Learning with Implicit Feature Engineering

      • Khang Nguyen, Nga Mai, An Nguyen, Binh P. Nguyen
      Pages 153-168
    4. Saliency Guided Image Watermarking for Anti-forgery

      • Pham Quang Huy, Dao Nam Anh
      Pages 183-195
    5. Big Data for Public Health Surveillance in Vietnam: Challenges and Opportunities

      • Long Bui, Thai Son Ha, Ngoc Ha Nguyen, Khandmaa Sukhbaatar, My Hanh Bui
      Pages 197-204

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. 


Keywords

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

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

Bibliographic Information

Buying options

eBook USD 139.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-49536-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 179.99
Price excludes VAT (USA)
Hardcover Book USD 179.99
Price excludes VAT (USA)