Intelligent Cyber-Physical Systems for Sustainable Healthcare addresses the integration of emerging technologies like Virtual Reality, Smart Robotics, and Human-Computer Interaction, which are crucial for maximizing digital health's potential. The book includes case studies that highlight challenges faced by medical practitioners and industry professionals, providing valuable insights for designing sustainable iCPS solutions. Aimed at biomedical engineers, researchers, and industry professionals, it offers guidance for developing practical applications in sustainable healthcare. Additionally, shared, cross-disciplinary experiences assist engineers with less clinical expertise in enhancing healthcare applications in the intelligent digital health sector.
Overall, case studies illustrate past challenges in the healthcare industry and present effective solutions to overcome them, making the book a comprehensive resource for advancing sustainable healthcare practices.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. List of contributors - p. xiii 7. Tech health CPS: transforming healthcare through cyber-physical systems—opportunities and ethical challenges - p. 1 8. Chapter 2. Improving clinical decision-making and operational efficiency through predictive analytics - p. 27 9. Chapter 3. Basic statistical knowledge for data analytics in predictive healthcare - p. 53 10. Chapter 4. Artificial Intelligence and machine learning in clinical pathways for healthcare - p. 103 11. Chapter 5. Role of artificial intelligence in predicting and treating urinary tract infections - p. 119 12. Chapter 6. The rise of heart attacks in adults under 40: a multifaceted threat - p. 143 13. Chapter 7. Revolutionizing sleep apnea management: harnessing telemedicine to transform traditional care into e-health solutions - p. 163 14. Chapter 8. Internet of Things in healthcare solutions: challenges and future perspectives - p. 185 15. Chapter 9. Human iris recognition techniques: a review - p. 203 16. Chapter 10. Unveiling the art of concealment: a review of coverless image steganography in spatial domain - p. 219 17. Chapter 11. The importance of cybersecurity in healthcare systems: protecting patient data and ensuring continuity of care - p. 237 18. Chapter 12. Smart diagnostics: redefining healthcare precision and efficiency with artificial intelligence - p. 259 19. Chapter 13. Leveraging thermal imaging for accurate classification of diabetic foot ulcers - p. 285 20. Chapter 14. Breast cancer image segmentation using clustering techniques: a review - p. 295 21. Chapter 15. Review on human face expression recognition techniques using machine learning - p. 313 22. Chapter 16. Child computer interaction: a systematic review of children’s learning dynamics in modern digital contexts - p. 339 23. Chapter 17. Automatic pancreas segmentation in computed tomography volume using liver–spleen based localization and deep learning networks - p. 369 24. Chapter 18. Essence of Internet of Robotic Things in healthcare: analysis and future directions towards assistive living - p. 383 25. Chapter 19. Digital health transformation: current trends and future prospects - p. 395 26. Chapter 20. Sustainable challenges of smart cities within the IoT era: a review study - p. 415 27. Index - p. 443
Intelligent Cyber-Physical Systems for Sustainable Healthcare addresses the integration of emerging technologies like Virtual Reality, Smart Robotics, and Human-Computer Interaction, which are crucial for maximizing digital health's potential. The book includes case studies that highlight challenges faced by medical practitioners and industry professionals, providing valuable insights for designing sustainable iCPS solutions. Aimed at biomedical engineers, researchers, and industry professionals, it offers guidance for developing practical applications in sustainable healthcare. Additionally, shared, cross-disciplinary experiences assist engineers with less clinical expertise in enhancing healthcare applications in the intelligent digital health sector.
Overall, case studies illustrate past challenges in the healthcare industry and present effective solutions to overcome them, making the book a comprehensive resource for advancing sustainable healthcare practices.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. List of contributors - p. xiii 7. Tech health CPS: transforming healthcare through cyber-physical systems—opportunities and ethical challenges - p. 1 8. Chapter 2. Improving clinical decision-making and operational efficiency through predictive analytics - p. 27 9. Chapter 3. Basic statistical knowledge for data analytics in predictive healthcare - p. 53 10. Chapter 4. Artificial Intelligence and machine learning in clinical pathways for healthcare - p. 103 11. Chapter 5. Role of artificial intelligence in predicting and treating urinary tract infections - p. 119 12. Chapter 6. The rise of heart attacks in adults under 40: a multifaceted threat - p. 143 13. Chapter 7. Revolutionizing sleep apnea management: harnessing telemedicine to transform traditional care into e-health solutions - p. 163 14. Chapter 8. Internet of Things in healthcare solutions: challenges and future perspectives - p. 185 15. Chapter 9. Human iris recognition techniques: a review - p. 203 16. Chapter 10. Unveiling the art of concealment: a review of coverless image steganography in spatial domain - p. 219 17. Chapter 11. The importance of cybersecurity in healthcare systems: protecting patient data and ensuring continuity of care - p. 237 18. Chapter 12. Smart diagnostics: redefining healthcare precision and efficiency with artificial intelligence - p. 259 19. Chapter 13. Leveraging thermal imaging for accurate classification of diabetic foot ulcers - p. 285 20. Chapter 14. Breast cancer image segmentation using clustering techniques: a review - p. 295 21. Chapter 15. Review on human face expression recognition techniques using machine learning - p. 313 22. Chapter 16. Child computer interaction: a systematic review of children’s learning dynamics in modern digital contexts - p. 339 23. Chapter 17. Automatic pancreas segmentation in computed tomography volume using liver–spleen based localization and deep learning networks - p. 369 24. Chapter 18. Essence of Internet of Robotic Things in healthcare: analysis and future directions towards assistive living - p. 383 25. Chapter 19. Digital health transformation: current trends and future prospects - p. 395 26. Chapter 20. Sustainable challenges of smart cities within the IoT era: a review study - p. 415 27. Index - p. 443
