Transforming Healthcare
eBook - ePub

Transforming Healthcare

Mode, Technologies, and Implementation

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

Transforming Healthcare

Mode, Technologies, and Implementation

About this book

This comprehensive volume explores cutting-edge technologies, groundbreaking methodologies, and insightful ethical considerations. It brings together leading minds and research across diverse domains, offering readers a glimpse into the future of healthcare. From leveraging AI in diagnostics and personalized treatments to advancing telemedicine and remote patient monitoring, the text addresses real-world challenges and opportunities in the rapidly evolving healthcare industry.

Key features:

  • Innovative approaches to early disease detection, including Alzheimer's and cancer, using machine learning and deep learning techniques.
  • State-of-the-art applications of design thinking, meta-heuristics, and federated learning in healthcare.
  • Ethical perspectives on the use of AI technologies and their impact on businesses and patient care.
  • A deep dive into the role of IoT, NLP, and AI-driven image processing in revolutionizing healthcare delivery.
  • Generalized models analyzing trade credits and their implications for healthcare supply chains.

Whether you're a researcher, healthcare professional, or technology enthusiast, this book serves as an invaluable resource for understanding and shaping the future of health technologies. Packed with diverse perspectives and actionable insights, it's a must-read for anyone passionate about making a difference in healthcare.

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Yes, you can access Transforming Healthcare by Ankush Jain,Vishal Srivastava,Gaurav Singal,Mohamed Mosbah in PDF and/or ePUB format, as well as other popular books in Computer Science & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-Title
  3. Series
  4. Title
  5. Copyright
  6. Contents
  7. About the editors
  8. Contributors
  9. 1 Innovating health: Design thinking in emerging technologies
  10. 2 Next-gen health analytics: Meta-heuristic bi-clustering of gene expression data with k-means
  11. 3 Uncovering methods for early Alzheimer diagnosis using machine learning and deep learning
  12. 4 Comparative analysis of transfer learning models versus ensemble transfer learning models for multiclass cutaneous carcinoma classification
  13. 5 Benefits and drawbacks of using AI technologies in healthcare businesses: An ethical perspective
  14. 6 Analysis and predicting sector data: The role of health news, telemedicine, and remote patient monitoring
  15. 7 An industrial applications-based generalized model on the effect of trade credits on healthcare items under multivariate demand-based production with time-dependent deterioration and partial backlogging
  16. 8 AI and ML based system for early detection of malignant cells of the brain through image processing pavingway for personalized treatment strategies
  17. 9 Advancing healthcare AI with federated learning
  18. 10 A systematic review of applications, challenges, data collection and academic research in healthcare using IoT
  19. 11 Revolutionizing healthcare: Cutting-edge technologies and their applications
  20. 12 Speech emotion recognition in mental health: A novel approach using machine learning
  21. Index