AI, Numerical Optimization, IoT and Blockchain for Healthcare 4.0 (Healthcare Technologies)

Mallik, Saurav (EDT)/ Soufiane, Ben Othman (EDT)/ Iwata, Junichi (EDT)

Institution of Engineering and Technology（2025/12発売）

• 製本 Hardcover:ハードカバー版／ページ数 381 p.
• 言語 ENG
• 商品コード 9781837240289
• DDC分類 610.285

Full Description

The healthcare sphere is becoming more interconnected, intelligent and data driven. The management of healthcare data - and developments in the devices, technologies and systems used to obtain, interpret, store and access it - is a key theme for many researchers in healthcare and technology fields. Sensors and IoT devices are increasingly used to obtain better information about patients' health, machine learning and numerical optimization techniques are being deployed in interpreting medical information, and secure healthcare records and telemedicine approaches are needed to enable clinicians and patients to access data remotely. All these technological advances fall under the umbrella term of Healthcare 4.0.

This book explores the ideas and practices around utilizing IoT integration within the healthcare ecosystem to improve patient diagnosis, monitoring, and treatment, using machine learning and optimization to develop proactive healthcare systems. The book aims to provide both the necessary theoretical foundations for a sound understanding of the topic, and experimental case studies to show how Healthcare 4.0 applies to real-world situations. Coverage includes data modelling, information discovery, prediction, smart healthcare, transparency in governance, and auditing.

The book's editors have brought together an international team of experts to discuss and share their opinions on Healthcare 4.0, evaluate existing solutions and provide real-world, practical case studies. Their intention has been to provide an interesting resource for researchers in the field of computer science, computer engineering, healthcare technology, computer vision, pattern recognition, machine learning, IoT, AI, signal processing, blockchain and big data and those in related disciplines.

Contents

Chapter 1: Advanced WLDvG for medical image forgery detection
Chapter 2: Blockchain in healthcare: transformative cases and emerging use cases
Chapter 3: Blockchain-enabled patient identity management
Chapter 4: Integration of Internet of Things (IoT) in healthcare: a paradigm shift toward smart and efficient patient care
Chapter 5: Gradient-based optimization approach to solve fuzzy algebraic equations governed engineering problems
Chapter 6: A convolutional neural network-based biomarkers for Alzheimer's diagnosis and prognosis
Chapter 7: An adaptive approach to EEG-based seizure onset detection
Chapter 8: Prediction models for eye disorders
Chapter 9: Artificial intelligence in cataract diagnosis and management with its future directions
Chapter 10: Machine learning and blockchain technology in healthcare
Chapter 11: RF energy harvesting system for wearable health monitoring devices
Chapter 12: Telemedicine and remote patient monitoring with AI
Chapter 13: Smart in-home health monitoring system using IoT: architecture and enhancements
Chapter 14: The potential and challenges of ChatGPT in medical applications: a comprehensive review
Chapter 15: The integration of the Internet of Things (IoT) in healthcare analytics: a transformative force
Chapter 16: Overview of lung cancer detection: a short survey