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  • Blockchain for Healthcare 4.0: Technology, Challenges, and Applications

    Blockchain for Healthcare 4.0 by Malviya, Rishabh; Sundram, Sonali;

    Technology, Challenges, and Applications

      • 20% KEDVEZMÉNY?

      • A kedvezmény csak az 'Értesítés a kedvenc témákról' hírlevelünk címzettjeinek rendeléseire érvényes.
      • Kiadói listaár GBP 49.99
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        23 882 Ft (22 745 Ft + 5% áfa)
      • Kedvezmény(ek) 20% (cc. 4 776 Ft off)
      • Kedvezményes ár 19 106 Ft (18 196 Ft + 5% áfa)

    23 882 Ft

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    Beszerezhetőség

    Becsült beszerzési idő: A Prosperónál jelenleg nincsen raktáron, de a kiadónál igen. Beszerzés kb. 3-5 hét..
    A Prosperónál jelenleg nincsen raktáron.

    Why don't you give exact delivery time?

    A beszerzés időigényét az eddigi tapasztalatokra alapozva adjuk meg. Azért becsült, mert a terméket külföldről hozzuk be, így a kiadó kiszolgálásának pillanatnyi gyorsaságától is függ. A megadottnál gyorsabb és lassabb szállítás is elképzelhető, de mindent megteszünk, hogy Ön a lehető leghamarabb jusson hozzá a termékhez.

    Rövid leírás:

    This book presents an overview of the recent advances in blockchain technology which have led to new breakthroughs in the healthcare industry, the application of artificial intelligence with blockchain, challenges, and prospects.

    Több

    Hosszú leírás:

    Blockchain is a type of distributed ledger technology that consists of a growing list of records that are securely linked together using cryptography and numerous applications in every field, including healthcare. Blockchain for Healthcare 4.0: Technology, Challenges, and Applications presents an overview of the recent advances in blockchain technology which have led to new breakthroughs in the healthcare industry, the application of artificial intelligence (AI) with blockchain, challenges, and prospects.


    Key Features:


    • Highlights blockchain applications in the biomedical and pharmaceutical industries and remote healthcare.


    • Discusses applications and advancement in blockchain framework to track diseases and outbreaks.


    • Elaborates the role of blockchain in managing health records, tracing, and securing medical supplies.


    • Focuses on efficient and secure medical data sharing through blockchain and secure cloud-based electronic health record (EHR), a system using an attribute-based cryptosystem.


    • Presents techniques and methods to utilize blockchain technology for clinical studies and facilitates the transition to patient-driven interoperability.


     


    The text is primarily written for graduate students and academic researchers in the fields of computer science and engineering, biomedical engineering, electrical engineering, and information technology.

    Több

    Tartalomjegyzék:

    1. Blockchain: A Digital breakhthrough in healthcare
    2.      Application of Blockchain in Medical Industry
    3.      Blockchain: A Decentralised, Persistence, Immutable, Consensus, and Irrevocable system in healthcare.
    4.      Application of blockchain in tracking diseases and outbreaks
    5.      Building Efficient Smart Contract for Healthcare 4.0
    6.      Blockchain Technology: Reinventing the Management of Information Infrastructure
    7.      Potential of blockchain in disease surveillance. 
    8.      Postmortem Concentrations: Distributed Privacy-Preserving Blockchain Authentication Framework in Cloud Forensics
    9.      Blockchain in Tracing and Securing Medical Supplies
    10.  Leveraging blockchain in sharing and managing health record credential.
    11.  Healthcare Record Management for Healthcare 4.0 via Blockchain: A Review of Current Applications, Opportunities, Challenges and Future Potential
    12.  Benefits and roles of blockchain in genomics
    13.  Blockchain for large-scale clinical information transaction.
    14.  Sharing and interpretation of genomic datasets using blockchain.
    15.  Improved Data Transmission Technique for Health Care Emergency Vehicle Using Block Chain in Vanet
    16.  Blockchain Based Digital Twin to Predict Heart Attack


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