Computational Intelligence and Blockchain in Biomedical and Health Informatics by Bhambri, Pankaj; Rani, Sita; Fahim, Muhammad;

Short description:

Advancements in computational intelligence, which encompasses artificial intelligence, machine learning, and data analytics, have revolutionized the way we process and analyze biomedical and health data. These techniques offer novel approaches to understanding complex biological systems, improving disease diagnosis, and more.

Long description:

Advancements in computational intelligence, which encompasses artificial intelligence, machine learning, and data analytics, have revolutionized the way we process and analyze biomedical and health data. These techniques offer novel approaches to understanding complex biological systems, improving disease diagnosis, optimizing treatment plans, and enhancing patient outcomes. Computational Intelligence and Blockchain in Biomedical and Health Informatics introduces the role of computational intelligence and blockchain in the biomedical and health informatics fields and provides a framework and summary of the various methods. The book emphasizes the role of advanced computational techniques and offers demonstrative examples throughout. Techniques to analyze the impacts on the biomedical and health Informatics domains are discussed along with major challenges in deployment. Rounding out the book are highlights of the transformative potential of computational intelligence and blockchain in addressing critical issues in healthcare from disease diagnosis and personalized medicine to health data management and interoperability along with two case studies. This book is highly beneficial to educators, researchers, and anyone involved with health data.

• Introduces the role of computational intelligence and blockchain in the biomedical and health informatics fields.

• Provides a framework and a summary of various computational intelligence and blockchain methods.

• Emphasizes the role of advanced computational techniques and offers demonstrative examples throughout.

• Techniques to analyze the impact on biomedical and health informatics are discussed along with major challenges in deployment.

• Highlights the transformative potential of computational intelligence and blockchain in addressing critical issues in healthcare from disease diagnosis and personalized medicine to health data management and interoperability.

Table of Contents:

1. Bioengineering and Healthcare Data Analysis: Introduction, Advances, and Challenges. 2. Biomedical Engineering Modelling and Simulation. 3. Information Extraction and Knowledge Discovery in Biomedical Engineering and Health Informatics. 4. Distributed Frameworks: Applications and Security Issues. 5. Blockchain Technology Framework: Issues and Future Challenges. 6. Blockchain Technology State of Art and Future Scenario. 7. Security Aspects of Blockchain Technology. 8. Computational Intelligence and Blockchain in Diversified Applications. 9. Computational Intelligence and Blockchain in Distributed Applications: Benefits and Challenges. 10. Computational and Blockchain Methods in Distributed Biomedical and Health Informatics: Applications: Architecture, Applications, and Challenges. 11. Healthcare Computational Intelligence and Blockchain: Real-Life Applications. 12. Intelligent Development in Healthcare With the Internet. 13. Intelligent Development in Healthcare With the Internet: Case Study I. 14. Intelligent Development in Healthcare With the Internet: Case Study II. 15. Unleashing the Potential of Blockchain in Healthcare: A Comparative Analysis of Leading Companies. 16. Threat Analysis and Security Measures for the Internet of Medical Things (IoMT): A Study. 17. Leveraging Web 3.0 to Develop Play-to-Earn Apps in Healthcare using Blockchain. 18. Advancements in Modelling, Imaging, and Simulation of Cardiovascular Diseases: A Technological Revolution in Modern Healthcare. 19. Blockchain-Enhanced Convolutional Neural Networks for Efficient Detection of Cardiovascular Abnormalities. 20. Research Landscape of Blockchain and Computational Intelligence in Healthcare and Biomedical Fields: A Bibliometric Analysis. 21. Bone Marrow Cancer Detection From Leukocytes using Neural Networks. 22. Pulmonary and Lungs Nodule Classification using Deep Learning.