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Full Description
Implementing new information technologies into the healthcare sector can provide alternatives to managing patients' health records, systems, and improving the quality of care received. This book provides an overview of Internet of Things (IoT) technologies related to the healthcare field and covers the main advantages and disadvantages along with industry case studies.
This edited volume covers required standardization and interoperability initiatives, various Artificial Intelligence and Machine Learning algorithms, and discusses how health technology can meet the challenge of improving quality of life regardless of social and financial status, gender, age, and location. The book presents real-time applications and case studies in the fields of engineering, computer science, IoT, and healthcare and provides many examples of successful IoT projects.
The target audience for this edited volume includes researchers, practitioners, students, as well as key stakeholders involved in and working on healthcare engineering solutions.
Contents
1. Artificial Intelligence-Based Smart Medical Services, 2. Securing IoT Devices for Healthcare Systems Using Optimization-Based Approaches, 3. Internet of Everything- Based Advanced Big Data Journey for the Medical Industry, 4. IoT in Smart Rehabilitation, 5. Internet of Things in Smart and Intelligent Healthcare Systems, 6. Energy Harvesting for IoT Networks in Smart and Intelligent Networks, 7. IoT Healthcare Applications, 8. Applications, Opportunities, and Current Challenges in the Healthcare Industry, 9. Internet of Things- Healthcare System Architectures to Enhance the Healthcare Industry, 10. An IoT- Based Moving Vehicle Healthcare Service, 11. DDoS Attack Detection Using Predictive Machine Learning (ML) Algorithms in Wireless Body Area Network Environments
