AIoT and Big Data Analytics for Smart Healthcare Applications
eBook - ePub

AIoT and Big Data Analytics for Smart Healthcare Applications

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

AIoT and Big Data Analytics for Smart Healthcare Applications

About this book

AIoT (Artificial Intelligence of Things) and Big Data Analytics are catalyzing a healthcare revolution. This book is an accessible volume that summarizes the information available. In this book, researchers explore how AIoT and Big Data can seamlessly integrate into healthcare, enhancing medical services and devices while adhering to established protocols. The book demonstrates the crucial role of these technologies during healthcare crises like the COVID-19 pandemic. It presents novel solutions and computational techniques powered by AIoT, Machine Learning, and Deep Learning, providing a new frontier in healthcare problem-solving. Key Features: Real-Life Illustrations: Real-world examples showcase AIoT and Big Data in action, highlighting their impact in healthcare.
Comprehensive Exploration: The book offers a thorough examination of AIoT, Big Data, and their harmonious synergy within the healthcare landscape.
Visual Aids: Complex concepts become approachable through diagrams, flowcharts, and infographics, making technical processes and system designs more digestible.
Ethical Insights: Delving into the ethical dimensions of AIoT and Big Data, it addresses concerns like data bias, patient consent, and transparency in healthcare.
Forward-Looking Discourse: The book engages with emerging trends, potential innovations, and the future direction of AIoT and Big Data, making it a compass for healthcare transformation.
Researchers, whether from academia, industry, or research and development organizations, interested in AIoT, Big Data, artificial intelligence, and healthcare optimization, will find this book informative. It also serves as an update for tech enthusiasts who want to explore the future of healthcare powered by AI and data.

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Yes, you can access AIoT and Big Data Analytics for Smart Healthcare Applications by Shreyas Suresh Rao,Steven Lawrence Fernandes,Chandra Singh, Shreyas Suresh Rao, Steven Lawrence Fernandes, Chandra Singh in PDF and/or ePUB format, as well as other popular books in Computer Science & Neural Networks. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Welcome
  2. Table of Content
  3. Title
  4. BENTHAM SCIENCE PUBLISHERS LTD.
  5. PREFACE
  6. List of Contributors
  7. A Survey on Semantic AIOT Concepts and Applications in Healthcare
  8. IoT Based Sleeping Disorder Recognition System for Cognitive Impairment Diseases
  9. Recent Trends in Smart Health Care: Past, Present and Future
  10. A Monitoring System for the Recognition of Sleeping Disorders in Patients with Cognitive Impairment
  11. Early prediction in AI-enabled IoT environment
  12. AI and Blockchain-based Solution for Implementing Security for Oral Healthcare 4.0 Big data
  13. An Artificial Intelligence-based Method for Detecting False news in Health Sector During a Pandemic
  14. Intelligent Framework for Smart Health Application using Image Analysis and Knowledge Relegation Approach
  15. Brain Stroke Prediction Using Deep Learning
  16. Secure Electronic Health Records Sharing System using IoT and Blockchain
  17. Geofencing For Elderly
  18. I am the Eye - Assistive Eye
  19. Stage of Retinopathy of Prematurity Using CNN and Object Segmentation Technique
  20. An Overview of Recent Medical Applications of Soft Robotics
  21. Applications of AI-enabled Robotics in Healthcare
  22. An Overview of Current and Future Applications of Robotics In Surgical Operations
  23. Healthcare Applications Centered on AIoT