IoT-enabled healthcare technologies can be used for remote health monitoring, rehabilitation assessment and assisted ambient living. Healthcare analytics can be applied to the data gathered from these different areas to improve healthcare outcomes by providing clinicians with real-world, real-time data so they can more easily support and advise their patients.
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Vishal Jain is an associate professor at the Department of Computer Science and Engineering, Sharda University, India. He was awarded Young Active Member Award (2012-13) from the Computer Society of India, Best Faculty Award (2017), and Best Researcher Award (2019) from BVICAM, New Delhi. He has published over 70 peer-reviewed papers and 10 books. His research areas include information retrieval, semantic web, ontology engineering, data mining, ad hoc networks, and sensor networks.
Jyotir Moy Chatterjee is an assistant professor in the Information Technology Department at Lord Buddha Education Foundation (LBEF), Nepal. He has been a member of the organizing committee of various international conferences (IEEE, Springer, Elsevier) and serves as a reviewer for numerous international journals. His research interests include the Internet of Things, machine learning, and deep learning. He has published 22 research papers, 3 international conference papers, 28 books, and 16 chapters.
Pardeep Kumar is a professor and the head of the Software Engineering Department, QUEST University, Nawabshah, Pakistan. He is also the director for the Office of Research, Innovation and Commercialization (ORIC). His research interests include wireless communication, wireless sensor networks, distributed and embedded systems and IoT technologies. Dr. Kumar has been an author/editor of 4 books, several book chapters, and more than 50 research publications.
Utku Kose is an associate professor at the Department of Computer Engineering of Süleyman Demirel University, Turkey. He has published more than 200 journal papers, conference presentations, keynote speeches and book chapters. His research interests include artificial intelligence, machine ethics, artificial intelligence safety, optimization, chaos theory, distance education, e-learning, computer education, and computer science.
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Zustand: New. KlappentextThis edited book covers big data analysis methods of patient data gained via IoT-enabled monitoring systems. The information gathered can be processed to aid clinicians with diagnoses, prognoses and interventions. This book. Artikel-Nr. 527386450
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Buch. Zustand: Neu. Neuware - This edited book covers big data analysis methods of patient data gained via IoT-enabled monitoring systems. The information gathered can be processed to aid clinicians with diagnoses, prognoses and interventions. This book is a great reference to those using, designing, modelling and analysing intelligent healthcare services. Artikel-Nr. 9781839534379
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