Technological Advancement in Internet of Medical Things and Blockchain for Personalized Healthcare (eBook, ePUB)

Applications and Use Cases
Redaktion: Prasanth, A.; P C, Sherimon; Balusamy, Balamurugan; Dhanaraj, Rajesh Kumar; D, Lakshmi

• Format: ePub

Produktbeschreibung

The text covers techniques, and frameworks pertaining to the internet of medical things and highlights computing algorithms to establish a pre-learned intelligent system for improving and automating the diagnosis process in personal healthcare systems as well as the protection of health records using blockchain technology.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 260
• Erscheinungstermin: 8. Mai 2024
• Englisch
• ISBN-13: 9781040018057
• Artikelnr.: 70258090

Autorenporträt

Dr. A. Prasanth is currently working as an Assistant Professor at Sri Venkateswara College of Engineering, Sriperumpudur, Tamil Nadu, India. He received the B.E. degree in Electronics and Communication Engineering , the M.E. degree in Computer Science and Engineering (with specialization in Networks) and the PhD degree in Information and Communication Engineering, all from Anna University, Chennai, India. Recently, he has received the Young Scientist Award from the International Scientist Award 2020 for his excellent research performance. He has also received Researcher of the Year Award 2020 from "2nd International Business and Academic Excellence Awards (IBAE)" at Delhi, held on 26 December 2020. Moreover, he has received the Young Researcher Award from the "Institute of Scholars Awards" 2020. He has published more than 45 research articles in reputed international journals, among which 15 articles are indexed in SCI and 30 articles are indexed in Scopus. He has published and granted two patents. Further, he has published more than 12 books under reputed publishers. He has served as Resource person in 25 Faculty development programmes. Moreover, he has served as Editorial Board Member in various reputed SCI journals. He has 9 years of teaching experience and his research interests include Internet of Things, Edge Computing, Cloud Computing, and 5G network. Lakshmi D is presently working as Senior Associate Professor (Grade 2) in the School of Computer Science and Engineering at VIT Bhopal University, Madhya Pradesh, India. Till February 2021, she was designated as an Educational Research Officer at Vishnu Educational Development and Innovation Centre and Associate Professor at B V Raju Institute of Technology run by Shri Vishnu Educational Society, Hyderabad, from 2016 to February 2021. She has been working in the educational sector since 1998. Her key research focus is on exploring the dynamics of learning, the dynamics of learner, and classroom dynamics, suitable to accelerate the learning efficacy of higher education students. With her expertise she has delivered a session more than 150 on various titles. Her research areas include machine learning, deep learning and Internet of Things, educational technology, educational data mining, virtual education, and educational psychology. She holds a PhD degree in Information and Communication Engineering from Anna University, Chennai, India. She has published 28 articles in various journals and conference proceedings and contributed chapters to the books. She has won two best paper awards: one in IEEE and another in Springer conference. She has to her credit one book publication titled on "Theory of Computation" and seven Indian patents provisionally published and waiting for examinations. Rajesh Kumar Dhanaraj is Professor at Symbiosis Institute of Computer Studies and Research (SICSR), Symbiosis International (Deemed University), Pune, India. He obtained his PhD degree in Information and Communication Engineering from Anna University, Chennai, India. He has presented research papers at conferences, published articles and papers in various journals, and contributed chapters to books. His research interests include Wireless Sensor Networks and Cloud Computing. He is an Expert Advisory Panel Member of Texas Instruments Inc., USA. Balamurugan Balusamy has served up to the position of Associate Professor in his stint of 14 years of experience with VIT University, Vellore. He had completed his bachelors, Master's, and PhD degrees from top premier institutions in India. His passion is teaching and adapts different design thinking principles while delivering his lectures. He has published more than 30 books on various technologies and visited over 15 countries for his technical course. He has several top- notch conferences in his resume and has published over 150 of quality journal, conference, and book chapters combined. He serves in the advisory committee for several startups and forums and does consultancy work for industry on Industrial IOT. He has given over 175 talks in various events and symposium. He is currently working as Associate Dean, at Shiv Nadar University, and teaches students and does research on Blockchain and IoT. Sherimon P.C is presently working as a Faculty of Computer Studies, Arab Open University, Oman. He has 22 years of international experience in administration, teaching, and research in universities. He has completed numerous research projects and consultancy projects too. His Google Scholar citation is 316, h- index is 7, and i10 index is 6.

Inhaltsangabe

1. Advanced Enabling Technologies of IoMT in Personalized Healthcare. 2.
Deep learning interpretation of biomedical data in IoMT. 3. Machine
learning for decision support systems in IoMT. 4. Secure Healthcare
Systems: Recent and Future Applications. 5. Transforming Healthcare
Management: Combining Blockchain, P2P Networks, and Digital Platforms. 6.
Convergence of IoMT and Blockchain for Emerging Personalized Healthcare
System: Challenges and use Cases. 7. Role of Access Control Mechanism for
Blockchain-Enabled IoMT in Personalized Healthcare. 8. Protecting the
Privacy of IoMT-Based Health Records Using Blockchain Technology. 9.
Securing IoMT Devices to Protect the Future of Healthcare from rising cyber
attacks. 10. Smart hand-hygiene compliance and temperature monitoring
system to tackle COVID-19 like pathogens in healthcare institutions. 11.
LDS - LVAT: Lie Detection System - Layered Voice Technology.