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Revolutionizing Healthcare Systems Through Cloud Computing and IoT
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Author(s)/Editor(s): Balasubramaniam S (Kerala University of Digital Sciences, Innovation, and Technology, Thiruvananthapuram, India)and Seifedine Kadry (Lebanese American University, Lebanon & Noroff University College, Norway)
Copyright: ©2025
DOI: 10.4018/979-8-3693-7225-8
ISBN13: 9798369372258
EISBN13: 9798369372272
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DescriptionThe healthcare industry has reached its full capacity due to the outbreak of COVID-19. Its global influence has brought attention to the utmost capabilities and limitations of healthcare facilities worldwide. The Internet of Things (IoT) and cloud services can effectively handle the immense healthcare demands that have never been seen before. The scarcity of healthcare personnel and limited resources necessitate the adoption of emerging technology to bolster healthcare delivery. IoT and cloud computing present ample promise in situations like this, as they may be utilized for monitoring, diagnostics, support, and intelligent decision-making. Revolutionizing Healthcare Systems Through Cloud Computing and IoT explores the concepts of cloud computing-based healthcare systems, IoT-based healthcare systems, and cloud-IoT-based healthcare systems. It delves into the significance and benefits of cloud-IoT-based healthcare systems. Covering topics such as disease screening, smart monitoring, and healthcare policy, this book is an excellent resource for researchers, scientists, engineers, graduate and postgraduate students, healthcare professionals and administrators, educators, and more.
Author's/Editor's Biography
Balasubramaniam S (Ed.)
Balasubramaniam S
(IEEE Senior Member) is working as an Assistant Professor in School of Computer Science and Engineering, Kerala University of Digital Sciences, Innovation and Technology (Formerly IIITM-K), Digital University Kerala, Thiruvananthapuram, Kerala, India. Before joining Digital University Kerala, he served as a Senior Associate Professor at the School of Computer Science and Engineering, Vellore Institute of Technology (VIT), Chennai, Tamilnadu, India. He has totally around 15+ years of experience in teaching, research and industry. He has completed his Post Doctoral Research in Department of Applied Data Science, Noroff University College, Kristiansand, Norway. He holds a Ph.D degree in Computer Science and Engineering from Anna University, Chennai, India in 2015. He has published nearly 25+ research papers in reputed SCI/WoS/Scopus indexed Journals. He has also granted with 1 Australian patent and 2 Indian Patents and published 2 Indian patents. He has presented papers at conferences, contributed chapters to the edited books and editor in few books published by international publishers. His research and publication interests include machine learning and deep learning-based disease diagnosis, cloud computing security, Generative AI and Electric Vehicles.
Seifedine Kadry (Ed.)
Seifedine Kadry
has a bachelor’s degree in 1999 from Lebanese University, MS degree in 2002 from Reims University (France) and EPFL (Lausanne), PhD in 2007 from Blaise Pascal University (France), HDR degree in 2017 from Rouen University (France). At present his research focuses on Data Science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is an ABET program evaluator for computing, and ABET program evaluator for Engineering Tech. he is a full professor of data science at Noroff University College, Norway and Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon.
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