Handbook of Computational Intelligence in Biomedical Engineering and Healthcare
eBook - ePub

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare

  1. 396 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare

About this book

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare helps readers analyze and conduct advanced research in specialty healthcare applications surrounding oncology, genomics and genetic data, ontologies construction, bio-memetic systems, biomedical electronics, protein structure prediction, and biomedical data analysis. The book provides the reader with a comprehensive guide to advanced computational intelligence, spanning deep learning, fuzzy logic, connectionist systems, evolutionary computation, cellular automata, self-organizing systems, soft computing, and hybrid intelligent systems in biomedical and healthcare applications. Sections focus on important biomedical engineering applications, including biosensors, enzyme immobilization techniques, immuno-assays, and nanomaterials for biosensors and other biomedical techniques. Other sections cover gene-based solutions and applications through computational intelligence techniques and the impact of nonlinear/unstructured data on experimental analysis. - Presents a comprehensive handbook that covers an Introduction to Computational Intelligence in Biomedical Engineering and Healthcare, Computational Intelligence Techniques, and Advanced and Emerging Techniques in Computational Intelligence - Helps readers analyze and do advanced research in specialty healthcare applications - Includes links to websites, videos, articles and other online content to expand and support primary learning objectives

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Yes, you can access Handbook of Computational Intelligence in Biomedical Engineering and Healthcare by Janmenjoy Nayak,Bighnaraj Naik,Danilo Pelusi,Asit Kumar Das in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biotechnology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Title of Book
  2. Cover image
  3. Title page
  4. Table of Contents
  5. Copyright
  6. Contributors
  7. Biographies
  8. Preface
  9. Chapter 1 Application of dynamical systems based deep learning algorithms to model emergent characteristics for healthcare diagnostics
  10. Chapter 2 Computational intelligence in healthcare and biosignal processing
  11. Chapter 3 A semi-supervised approach for automatic detection and segmentation of optic disc from retinal fundus image
  12. Chapter 4 Medical decision support system using data mining: an intelligent health care monitoring system for guarded travel
  13. Chapter 5 Deep learning in gastroenterology: a brief review
  14. Chapter 6 Application of soft computing techniques to calculation of medicine dose during the treatment of patient: a fuzzy logic approach
  15. Chapter 7 Multiobjective optimization technique for gene selection and sample categorization
  16. Chapter 8 Medical decision support system using data mining semicircular-based angle-oriented facial recognition using neutrosophic logic
  17. Chapter 9 Preservation module prediction by weighted differentially coexpressed gene network analysis (WDCGNA) of HIV-1 disease: a case study for cancer
  18. Chapter 10 Computational intelligence for genomic data: a network biology approach
  19. Chapter 11 A Kinect-based motor rehabilitation system for stroke recovery
  20. Chapter 12 Empirical study on Uddanam chronic kidney diseases (UCKD) with statistical and machine learning analysis including probabilistic neural networks
  21. Chapter 13 Enhanced brain tumor detection using fractional wavelet transform and artificial neural network
  22. Chapter 14 A study on smartphone sensor-based Human Activity Recognition using deep learning approaches
  23. Index