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Innovation in Health Informatics: A Smart Healthcare Primer explains how the most recent advances in information and communication technologies have paved the way for new breakthroughs in healthcare. The book showcases current and prospective applications in a context defined by an imperative to deliver efficient, patient-centered and sustainable healthcare systems. Topics discussed include big data, medical data analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies. Additionally, there is a discussion on social issues and policy- making for the implementation of smart healthcare.

This book is a valuable resource for undergraduate and graduate students, practitioners, researchers, clinicians and data scientists who are interested in how to explore the intersections between bioinformatics and health informatics.

  • Provides a holistic discussion on the new landscape of medical technologies, including big data, analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies
  • Presents a case study driven approach, with references to real-world applications and systems
  • Discusses topics with a research-oriented approach that aims to promote research skills and competencies of readers

1. Cover image - p. Cover 2. Title page - p. iii 3. Table of Contents - p. iii 4. Copyright - p. iv 5. List of contributors - p. xvii 6. Preface - p. xxi 7. Acknowledgments - p. xxv 8. Section A: Smart Healthcare in the Era of Bid Data and Data Science - p. xxvi 9. Chapter 1. Smart Healthcare: emerging technologies, best practices, and sustainable policies - p. 3 10. Chapter 2. Syndromic surveillance using web data: a systematic review - p. 39 11. Chapter 3. Natural Language Processing, Sentiment Analysis, and Clinical Analytics - p. 79 12. Section B: Advanced Decision Making and Artificial Intelligence for Smart Healthcare - p. 95 13. Chapter 4. Clinical decision support for infection control in surgical care - p. 101 14. Chapter 5. Human activity recognition using machine learning methods in a smart healthcare environment - p. 123 15. Chapter 6. Application of machine learning and image processing for detection of breast cancer - p. 145 16. Chapter 7. Toward information preservation in healthcare systems - p. 163 17. Section C: Emerging technologies and systems for smart healthcare - p. 184 18. Chapter 8. Security and privacy solutions for smart healthcare systems - p. 189 19. Chapter 9. Cloud-based health monitoring framework using smart sensors and smartphone - p. 217 20. Chapter 10. Mobile Partogram—m-Health technology in the promotion of parturient’s health in the delivery room - p. 245 21. Chapter 11. Artificial intelligence–assisted detection of diabetic retinopathy on digital fundus images: concepts and applications in the National Health Service - p. 261 22. Chapter 12. Virtual reality and sensors for the next generation medical systems - p. 279 23. Chapter 13. Portable smart healthcare solution to eye examination for diabetic retinopathy detection at an earlier stage - p. 305 24. Chapter 14. Improved nodule detection in chest X-rays using principal component analysis filters - p. 323 25. Chapter 15. Characterizing internet of medical things/personal area networks landscape - p. 353 26. Section D: Social Issues and policy making for smart healthcare - p. 370 27. Chapter 16. Threats to patients’ privacy in smart healthcare environment - p. 375 28. Chapter 17. Policy implications for smart healthcare: the international collaboration dimension - p. 395 29. Index - p. 403

Descripcion
Descripción

Innovation in Health Informatics: A Smart Healthcare Primer explains how the most recent advances in information and communication technologies have paved the way for new breakthroughs in healthcare. The book showcases current and prospective applications in a context defined by an imperative to deliver efficient, patient-centered and sustainable healthcare systems. Topics discussed include big data, medical data analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies. Additionally, there is a discussion on social issues and policy- making for the implementation of smart healthcare.

This book is a valuable resource for undergraduate and graduate students, practitioners, researchers, clinicians and data scientists who are interested in how to explore the intersections between bioinformatics and health informatics.

  • Provides a holistic discussion on the new landscape of medical technologies, including big data, analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies
  • Presents a case study driven approach, with references to real-world applications and systems
  • Discusses topics with a research-oriented approach that aims to promote research skills and competencies of readers

1. Cover image - p. Cover 2. Title page - p. iii 3. Table of Contents - p. iii 4. Copyright - p. iv 5. List of contributors - p. xvii 6. Preface - p. xxi 7. Acknowledgments - p. xxv 8. Section A: Smart Healthcare in the Era of Bid Data and Data Science - p. xxvi 9. Chapter 1. Smart Healthcare: emerging technologies, best practices, and sustainable policies - p. 3 10. Chapter 2. Syndromic surveillance using web data: a systematic review - p. 39 11. Chapter 3. Natural Language Processing, Sentiment Analysis, and Clinical Analytics - p. 79 12. Section B: Advanced Decision Making and Artificial Intelligence for Smart Healthcare - p. 95 13. Chapter 4. Clinical decision support for infection control in surgical care - p. 101 14. Chapter 5. Human activity recognition using machine learning methods in a smart healthcare environment - p. 123 15. Chapter 6. Application of machine learning and image processing for detection of breast cancer - p. 145 16. Chapter 7. Toward information preservation in healthcare systems - p. 163 17. Section C: Emerging technologies and systems for smart healthcare - p. 184 18. Chapter 8. Security and privacy solutions for smart healthcare systems - p. 189 19. Chapter 9. Cloud-based health monitoring framework using smart sensors and smartphone - p. 217 20. Chapter 10. Mobile Partogram—m-Health technology in the promotion of parturient’s health in the delivery room - p. 245 21. Chapter 11. Artificial intelligence–assisted detection of diabetic retinopathy on digital fundus images: concepts and applications in the National Health Service - p. 261 22. Chapter 12. Virtual reality and sensors for the next generation medical systems - p. 279 23. Chapter 13. Portable smart healthcare solution to eye examination for diabetic retinopathy detection at an earlier stage - p. 305 24. Chapter 14. Improved nodule detection in chest X-rays using principal component analysis filters - p. 323 25. Chapter 15. Characterizing internet of medical things/personal area networks landscape - p. 353 26. Section D: Social Issues and policy making for smart healthcare - p. 370 27. Chapter 16. Threats to patients’ privacy in smart healthcare environment - p. 375 28. Chapter 17. Policy implications for smart healthcare: the international collaboration dimension - p. 395 29. Index - p. 403

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