Role of Internet of Things and Machine Learning in Smart Healthcare, Volume 137 of the Advances in Computers series, presents detailed coverage of innovations in computer hardware, software, theory, design, and applications. Published since 1960, this series provides contributors with a medium to explore their subjects in greater depth and breadth than typical journal articles. Additionally, the book discusses the basic concepts of the Internet of Things (IoT) and Machine Learning (ML), along with their various applications in smart healthcare. It proposes novel techniques by integrating IoT, cloud computing, and ML algorithms to efficiently manage e-healthcare data and improve security. The volume also addresses research challenges and probable future directions in smart healthcare using IoT and ML, making it a comprehensive resource for researchers, practitioners, and students interested in advancing healthcare technologies.
1. Chapter Two: Introduction to machine learning - p. 37 2. Chapter Three: Revolutionizing patient care: The synergy of IoT and machine learning in smart healthcare - p. 91 3. Chapter Four: Security, privacy, and trust management of IoT and machine learning-based smart healthcare systems - p. 160 4. Chapter Five: Machine learning-enabled IoT applications for smart healthcare monitoring systems - p. 196 5. Chapter Six: A smart healthcare system using IoT and machine learning - p. 225 6. Chapter Seven: Predicting and diagnosis of COVID-19 based on IoT and machine learning algorithm - p. 255 7. Chapter Eight: A novel scheme for managing e-healthcare data using IoT and cloud computing - p. 297 8. Chapter Nine: Improving security of e-healthcare data by using machine learning - p. 323 9. Chapter Ten: Research challenges and future work directions in smart healthcare using IoT and machine learning - p. 357
Role of Internet of Things and Machine Learning in Smart Healthcare, Volume 137 of the Advances in Computers series, presents detailed coverage of innovations in computer hardware, software, theory, design, and applications. Published since 1960, this series provides contributors with a medium to explore their subjects in greater depth and breadth than typical journal articles. Additionally, the book discusses the basic concepts of the Internet of Things (IoT) and Machine Learning (ML), along with their various applications in smart healthcare. It proposes novel techniques by integrating IoT, cloud computing, and ML algorithms to efficiently manage e-healthcare data and improve security. The volume also addresses research challenges and probable future directions in smart healthcare using IoT and ML, making it a comprehensive resource for researchers, practitioners, and students interested in advancing healthcare technologies.
1. Chapter Two: Introduction to machine learning - p. 37 2. Chapter Three: Revolutionizing patient care: The synergy of IoT and machine learning in smart healthcare - p. 91 3. Chapter Four: Security, privacy, and trust management of IoT and machine learning-based smart healthcare systems - p. 160 4. Chapter Five: Machine learning-enabled IoT applications for smart healthcare monitoring systems - p. 196 5. Chapter Six: A smart healthcare system using IoT and machine learning - p. 225 6. Chapter Seven: Predicting and diagnosis of COVID-19 based on IoT and machine learning algorithm - p. 255 7. Chapter Eight: A novel scheme for managing e-healthcare data using IoT and cloud computing - p. 297 8. Chapter Nine: Improving security of e-healthcare data by using machine learning - p. 323 9. Chapter Ten: Research challenges and future work directions in smart healthcare using IoT and machine learning - p. 357
