Handbook of Computational Intelligence in Biomedical Engineering and Healthcare

Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi, Asit Kumar Das

• Publisher: Academic Press
• Year: 2021
• ISBN:
  9780128222614
• Topic: Biological Sciences
• Subtopic: Biotechnology
• Index: Biological Sciences

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

Table of contents

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