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AI and IoT in Medicine
AI and IoT in Medicine
Knygos.lt klubas Knygos.lt nariams
220,98 €
-30%
Įprastai
315,69 €
  • Planuojame turėti už 116 d.
The book examines the design of a blockchain-based data security and management framework tailored for smart healthcare environments, including hospitals, remote monitoring systems, wearable devices, and interconnected clinical platforms. It introduces the fundamentals of healthcare data ecosystems, outlines major security and privacy threats, and explains the relevance of blockchain, cryptography, access control, and decentralized trust in modern health information systems.A major focus is pla…
  • Leidėjas:
  • Metai: 2026
  • Puslapiai: 240
  • ISBN-10: 1032939389
  • ISBN-13: 9781032939384
  • Kalba: Anglų

AI and IoT in Medicine (el. knyga) (skaityta knyga) | knygos.lt

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The book examines the design of a blockchain-based data security and management framework tailored for smart healthcare environments, including hospitals, remote monitoring systems, wearable devices, and interconnected clinical platforms. It introduces the fundamentals of healthcare data ecosystems, outlines major security and privacy threats, and explains the relevance of blockchain, cryptography, access control, and decentralized trust in modern health information systems.

A major focus is placed on the mathematical foundations required to model secure data exchange, authentication, integrity verification, storage efficiency, and system performance. The volume also discusses interoperability, auditability, emergency access, and governance issues, while presenting implementation perspectives and case-based applications that connect theory with practice in realistic healthcare settings.

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  • Leidėjas:
  • Metai: 2026
  • Puslapiai: 240
  • ISBN-10: 1032939389
  • ISBN-13: 9781032939384
  • Kalba: Anglų

The book examines the design of a blockchain-based data security and management framework tailored for smart healthcare environments, including hospitals, remote monitoring systems, wearable devices, and interconnected clinical platforms. It introduces the fundamentals of healthcare data ecosystems, outlines major security and privacy threats, and explains the relevance of blockchain, cryptography, access control, and decentralized trust in modern health information systems.

A major focus is placed on the mathematical foundations required to model secure data exchange, authentication, integrity verification, storage efficiency, and system performance. The volume also discusses interoperability, auditability, emergency access, and governance issues, while presenting implementation perspectives and case-based applications that connect theory with practice in realistic healthcare settings.

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