The internet of medical things provides significant advantages for the well-being of society by increasing the quality of life and reducing medical expenses. An important step towards a smart healthcare system is to utilize the potential of existing technologies in order to deliver the best services to users and improve their circumstances. With the help of internet of medical things technologies, self-care and early diagnosis are influential services in strengthening the healthcare ecosystem, especially those which utilize remote monitoring systems. The Internet of Medical Things (IoMT) and Telemedicine Frameworks and Applications focuses on the role of artificial intelligence, the internet of medical things, and telemedicine as well as the advantages and challenges that can occur from the integration of these technologies. The book also evolves methodologies to develop frameworks for the integration of the internet of medical things and telemedicine. Covering topics such as remote healthcare, medical imaging, and data science, this reference work is ideal for researchers, academicians, scholars, practitioners, instructors, and students.
Author(s): Rajiv Pandey, Amrit Gupta, Agnivesh Pandey
Series: Advances in Medical Technologies and Clinical Practice
Publisher: Medical Info Science Reference
Year: 2022
Language: English
Pages: 358
City: Hershey
Title Page
Copyright Page
Book Series
Table of Contents
Detailed Table of Contents
Preface
Acknowledgment
Chapter 1: IoT and Healthcare
Chapter 2: IoT in E-Health, Assisted Living, and E-Wellness
Chapter 3: Towards Building Internet-of-Things-Inclusive Healthcare for Neglected Tropical Diseases
Chapter 4: Prenatal Healthcare Framework Using IoMT Data Analytics
Chapter 5: Virtual Reality, Robotics, and Artificial Intelligence
Chapter 6: Implementation of AI Techniques for Bioremediation and Wastewater Treatment
Chapter 7: Explainable Learning Machines for Securing the IoMT Networks
Chapter 8: Heart Disease Prediction Using ML Algorithm
Chapter 9: Applications of Machine Learning in Healthcare
Chapter 10: AI and Machine Learning
Chapter 11: DHM2-TS Framework for Evaluation of Tele-Health Platforms and Solutions
Chapter 12: Suicidal Analysis on Social Networks Using Machine Learning
Chapter 13: Applications of Distributed Ledger (Blockchain) Technology in E-Healthcare
Chapter 14: A Low Cost, Power Efficient, Social Distancing Notification Embedded System Based on Intelligent Wireless Sensor Network
Chapter 15: Li-Ion-Based DC UPS for Remote Application
Compilation of References
About the Contributors
Index
