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  • IoT and Big Data Technologies for Health Care: Fifth EAI International Conference, IoTCare 2024, December 7-8, 2024

    IoT and Big Data Technologies for Health Care by Zhang, Zheng; Wang, Shuihua;

    Fifth EAI International Conference, IoTCare 2024, December 7-8, 2024

    Series: EAI/Springer Innovations in Communication and Computing;

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      • Publisher's listprice EUR 235.39
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        99 358 Ft (94 626 Ft + 5% VAT)
      • Discount 12% (cc. 11 923 Ft off)
      • Discounted price 87 434 Ft (83 271 Ft + 5% VAT)

    99 358 Ft

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    Product details:

    • Publisher Springer Nature Switzerland
    • Date of Publication 16 October 2025
    • Number of Volumes 1 pieces, Book

    • ISBN 9783031909023
    • Binding Hardback
    • No. of pages301 pages
    • Size 235x155 mm
    • Language English
    • Illustrations X, 301 p. 73 illus., 23 illus. in color. Illustrations, black & white
    • 700

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    Long description:

    This book constitutes the refereed post-conference proceedings of the 5th International Conference on IoT and Big Data Technologies for Health Care, IoTCARE 2024, which took place December 7-8, 2024, in Leicester, UK. The conference aims to provide a forum for presentation and discussion the state-of-art and future perspectives of Internet of Things and big data of health care. Industry experts, researchers and academics gather to share ideas and experiences surrounding frontier technologies, breakthroughs, innovative solutions and research results, as well as initiatives related to IoT and health care, and their applications. The topic focuses on the convergence of IoT and big data technologies for e-health, e-care, lifestyle, aging population, smart personal living, etc., applications.

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    Table of Contents:

    Introduction.- Big Data Technologies for e-Health.- A Review of Computer-Assisted Techniques Performances in Malaria Diagnosis.- Research on Cloud Health Privacy Information Protection Algorithm Based on Data Mining.- Data Security Mining Method for Social Media Users’ Mental Health Status Test Based on Machine Learning Algorithm.- Early Warning Method of College Students Mental Subhealth Based on Internet of Things.- Automatic Assessment Method of College Students Psychological Stress Based on Medical Big Data.- Research on Medical Sensitive Data Protection Algorithm Based on Differential Privacy.- Conclusion.

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