Isbn: 9781032456072 - artificial intelligence technology in healthcare: security and privacy issues (7 risultati)

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  • Lingua: Inglese

    Editore: CRC Press, 2026

    1032456078 / 9781032456072

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  • Lingua: Inglese

    Editore: CRC Press, 2026

    1032456078 / 9781032456072

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    PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

  • Lingua: Inglese

    Editore: CRC Press, 2026

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  • Lingua: Inglese

    Editore: Taylor & Francis Ltd, 2026

    1032456078 / 9781032456072

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    Paperback. Condizione: Brand New. 312 pages. 6.00x0.69x9.00 inches. In Stock.

  • Lingua: Inglese

    Editore: CRC Press, 2026

    1032456078 / 9781032456072

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    Condizione: New. Neha Sharma is working as Assistant Professor in Department of Computer Science and Engineering in Chitkara University Institute of Engineering &amp Technology, Chitkara University, Rajpura, Punjab, India. She has received the M.Tech.(CSE), Ph.D.

  • Lingua: Inglese

    Editore: Taylor & Francis Ltd (Sales) Jul 2026, 2026

    1032456078 / 9781032456072

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Taschenbuch. Condizione: Neu. Neuware - Artificial Intelligence Technology in Healthcare: Security and Privacy Issues focuses on current issues with patients' privacy and data security including data breaches in healthcare organizations, unauthorized access to patients' information, and medical identity theft. It explains recent breakthroughs and problems in deep learning security and privacy issues, emphasizing current state-of-the-art methods, methodologies, implementation, attacks, and countermeasures. It examines the issues related to developing artifiicial intelligence (AI)-based security mechanisms which can gather or share data across several healthcare applications securely and privately. Features: - Combines multiple technologies (i.e., Internet of Things [IoT], Federated Computing, and AI) for managing and securing smart healthcare systems. - Includes state-of-the-art machine learning, deep learning techniques for predictive analysis, and fog and edge computing-based real-time health monitoring. - Covers how to diagnose critical diseases from medical imaging using advanced deep learning-based approaches. - Focuses on latest research on privacy, security, and threat detection on COVID-19 through IoT. - Illustrates initiatives for research in smart computing for advanced healthcare management systems. This book is aimed at researchers and graduate students in bioengineering, artificial intelligence, and computer engineering.…

  • Lingua: Inglese

    Editore: Taylor & Francis Ltd, London, 2026

    1032456078 / 9781032456072

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    Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller

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    Paperback. Condizione: new. Paperback. Artificial Intelligence Technology in Healthcare: Security and Privacy Issues focuses on current issues with patients privacy and data security including data breaches in healthcare organizations, unauthorized access to patients information, and medical identity theft. It explains recent breakthroughs and problems in deep learning security and privacy issues, emphasizing current state-of-the-art methods, methodologies, implementation, attacks, and countermeasures. It examines the issues related to developing artifiicial intelligence (AI)-based security mechanisms which can gather or share data across several healthcare applications securely and privately. Features: Combines multiple technologies (i.e., Internet of Things [IoT], Federated Computing, and AI) for managing and securing smart healthcare systems. Includes state-of-the-art machine learning, deep learning techniques for predictive analysis, and fog and edge computing-based real-time health monitoring. Covers how to diagnose critical diseases from medical imaging using advanced deep learning-based approaches. Focuses on latest research on privacy, security, and threat detection on COVID-19 through IoT. Illustrates initiatives for research in smart computing for advanced healthcare management systems.This book is aimed at researchers and graduate students in bioengineering, artificial intelligence, and computer engineering. This book explains recent breakthroughs and problems in deep learning security and privacy issues, emphasizing current state-of-the-art methods, methodologies, implementation, attacks, and countermeasures. It examines the issues related to develop AI-based security mechanisms which can gather or share data across healthcare applications. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…