Quantum Computing for Healthcare Data: Revolutionizing the Future of Medicine presents an advanced overview of the fundamentals of quantum computing, from the transition of traditional to quantum computing, to the challenges and opportunities encountered as various industries enter into the paradigm shift. The book investigates how quantum AI, quantum data processing, and quantum data analysis can best be integrated into healthcare data systems. The book also introduces a range of case studies which feature applications of quantum computing in connected medical devices, medical simulations, robotics, medical diagnosis, and drug discovery. The book will be a valuable resource for researchers, graduate students, and professional programmers and computer engineers working in the areas of healthcare data management and analytics, blockchain, IoT, and big data analytics.
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N. Gayathri, PhD is an Assistant Professor in the Department of Computer Science and Engineering, GITAM University, Bengaluru. She has published 45+ published journal articles (SCI journals& Scopus indexed), presented papers in national/ international conferences, published book chapters, and edited books published with Wiley and CRC Press. Dr. Gayathri has 7 Indian patents, 1 Australian Patent, and she is a guest editor for Recent Patents on Computer Science. Her research interests include Big data Analytics, IoT and networks. She is an active reviewer for Bentham Science Journal, Mobile Networks and Applications, Expert Systems with Applications, Sustainable Computing: Informatics and Systems, IEEE Internet of Things, Expert Systems.
S. Rakesh Kumar, PhD is an Assistant Professor in the Department of Computer Science and Engineering, at GITAM University, Bengaluru. He has published reputed 40+ journal articles (SCI journals & Scopus indexed), presented papers in national/ international conferences, published book chapters in CRC Press, IGI global, Springer, Elsevier, and has edited books with Wiley and CRC Press. Dr. Kumar has six Indian patents and his research interests include Big data Analytics, IoT and networks, and cloud computing. He is an active reviewer in Bentham Science Journal, Mobile Networks and Applications, Expert systems with applications, Sustainable Computing: Informatics and Systems, IEEE Internet of Things, Expert systems.
Quantum Computing for Healthcare Data presents an advanced overview of the fundamentals of quantum computing, from the transition of traditional to quantum computing, to the challenges and opportunities encountered as various industries enter into the paradigm shift. The book investigates how quantum AI, quantum data processing, and quantum data analysis can best be integrated into healthcare data systems. The book also introduces a range of case studies which feature applications of quantum computing in connected medical devices, medical simulations, robotics, medical diagnosis, and drug discovery. The book will be a valuable resource for researchers, graduate students, and professional programmers and computer engineers working in the areas of healthcare data management and analytics, blockchain, IoT, and big data analytics.
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Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Zustand: New. Artikel-Nr. 396146816
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