Description
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
Part 1: Computational Intelligence in Bioengineering and Health Care: An Introduction1. Data Analysis in Bioengineering and Health Care: Advances and Challenges2. Impact of Data Type and Analysis on Nature of Data3. Computational Intelligence in Healthcare: Real Life ApplicationsPart 2: Computational Intelligence Techniques4. Computational Intelligence: Past to Present5. Computational Intelligence: Methods and Tools6. Computational Intelligence: Trends and Applications7. Computational Intelligence: Issues and Future ChallengesPart 3: Computational Intelligence in Bioengineering: A step towards the Next8. Advance Computational Intelligence Techniques in bioengineering9. A Case Study10. New Technologies for biosensors11. Performance Analysis: Statistical Approach
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