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Quantum Computing for Healthcare Data

Revolutionizing the Future of Medicine

Language EnglishEnglish
Book Paperback
Book Quantum Computing for Healthcare Data Nagasubramanian Gayathri
Libristo code: 46088522
Publishers Elsevier Science, February 2025
Quantum Computing for Healthcare Data: Revolutionizing the Future of Medicine presents an advanced o... Full description
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204.43 €
399.82  лв
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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.

  • Explores the challenges and opportunities presented by quantum computing technology within healthcare data and applications
  • Compares quantum machine learning models and analyzes which offer the most promise for healthcare data analytics
  • Presents a range of case studies where quantum computing is starting to be applied, including connected medical devices, medical simulations, robotics, medical diagnosis, and drug discovery

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About the book

Full name Quantum Computing for Healthcare Data
Author Nagasubramanian Gayathri, S. Rakesh Kumar, Valentina Emilia Balas
Language English
Binding Book - Paperback
Date of issue 2025
Number of pages 300
EAN 9780443292972
ISBN 0443292973
Libristo code 46088522
Publishers Elsevier Science
Weight 590
Dimensions 191 x 235

Categories

Computing & Information Technology > Computer science > Artificial intelligence > Machine learning
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