Inhaltsangabe
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.
Über die Autorinnen und Autoren
Dr. Rajiv Pandey Senior Member IEEE is a Faculty at Amity Institute of Information Technology, Amity University, Uttar Pradesh, Lucknow Campus India. He possesses a diverse back ground experience of around 30 years to include 15 years of Industry and 13 years of academic. His research interests include the contemporary technologies as Semantic Web Provenance, Cloud and Big Data, and Data Analytics. He has published more than 30 research papers in Scopus, and other science indexed journals of repute. He has been Session chairs, Technical committee member for various IEEE and Elsevier conference. He has been on technical committees of various government and private universities. He is intellectually involved in supervising Doctorate Research Scholars and Post graduate Students. He is also an active contributor in professional bodies like IEEE, IET and Lucknow Management Association. He is also a member of Machine Intelligence Research Labs.
Agnivesh Pandey is working as Assistant Professor at D.A-V. College, C.S.J.M University, Kanpur, Uttar Pradesh, India. His research interests include contemporary technologies as Big Data Analytics, Cloud Computing, IoT and Machine Learning. A number of research papers of Dr. Agnivesh are published in Scopus Indexed journals and proceedings of International Conferences of IEEE and Taylor & Francis. A book chapter is already published by I.G.I Global. He has been awarded by Ministry of Education Innovation Cell, Ministry of MSME, Ministry of Information and Broadcasting and AICTE for exceptional contribution as a primary evaluator in ‘Toycathon, 2021’. Dr. Agnivesh is member of editorial review board of International Journal of Digital Crime and Forensics (IJDCF), IGI Global. Moreover he is reviewing research papers of Journal of Big Data, Springeropen.
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