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  • 1
    UID:
    b3kat_BV046229483
    Format: 1 Online-Ressource (xi, 187 Seiten)
    ISBN: 9783030316723
    Series Statement: Studies in Big Data 66
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-31671-6
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-31673-0
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-31674-7
    Language: English
    Subjects: Computer Science , Economics
    RVK:
    RVK:
    Keywords: Big Data ; Gesundheitswesen ; Künstliche Intelligenz
    URL: Volltext  (URL des Erstveröffentlichers)
    Author information: Abraham, Ajith 1968-
    Author information: Zomaya, Albert Y. 1964-
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    almahu_9948274958102882
    Format: XI, 187 p. 55 illus., 37 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030316723
    Series Statement: Studies in Big Data, 66
    Content: This book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare. The concept of big data is revolutionary, both from a technological and societal well-being standpoint. This book provides a comprehensive reference guide for engineers, scientists, and students studying/involved in the development of big data tools in the areas of healthcare and medicine. It also features a multifaceted and state-of-the-art literature review on healthcare data, its modalities, complexities, and methodologies, along with mathematical formulations. The book is divided into two main sections, the first of which discusses the challenges and opportunities associated with the implementation of big data in the healthcare sector. In turn, the second addresses the mathematical modeling of healthcare problems, as well as current and potential future big data applications and platforms.
    Note: Big data analytics and its benefits in Health care -- Elements of Healthcare Big Data Analytics -- Big Data in Supply Chain Management and Medicinal Domain -- A Review of Big Data and its Applications in Healthcare and Public Sector- Innovative mHealth Solution for Reliable Patient Data Empowering Rural Health Care in Developing Countries -- Big Data Analytics in Healthcare using Spreadsheets.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783030316716
    Additional Edition: Printed edition: ISBN 9783030316730
    Additional Edition: Printed edition: ISBN 9783030316747
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    edoccha_9959767513602883
    Format: 1 online resource (XI, 187 p. 55 illus., 37 illus. in color.)
    Edition: 1st ed. 2020.
    ISBN: 3-030-31672-6
    Series Statement: Studies in Big Data, 66
    Content: This book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare. The concept of big data is revolutionary, both from a technological and societal well-being standpoint. This book provides a comprehensive reference guide for engineers, scientists, and students studying/involved in the development of big data tools in the areas of healthcare and medicine. It also features a multifaceted and state-of-the-art literature review on healthcare data, its modalities, complexities, and methodologies, along with mathematical formulations. The book is divided into two main sections, the first of which discusses the challenges and opportunities associated with the implementation of big data in the healthcare sector. In turn, the second addresses the mathematical modeling of healthcare problems, as well as current and potential future big data applications and platforms.
    Note: Big data analytics and its benefits in Health care -- Elements of Healthcare Big Data Analytics -- Big Data in Supply Chain Management and Medicinal Domain -- A Review of Big Data and its Applications in Healthcare and Public Sector- Innovative mHealth Solution for Reliable Patient Data Empowering Rural Health Care in Developing Countries -- Big Data Analytics in Healthcare using Spreadsheets.
    Additional Edition: ISBN 3-030-31671-8
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    UID:
    almafu_9959767513602883
    Format: 1 online resource (XI, 187 p. 55 illus., 37 illus. in color.)
    Edition: 1st ed. 2020.
    ISBN: 3-030-31672-6
    Series Statement: Studies in Big Data, 66
    Content: This book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare. The concept of big data is revolutionary, both from a technological and societal well-being standpoint. This book provides a comprehensive reference guide for engineers, scientists, and students studying/involved in the development of big data tools in the areas of healthcare and medicine. It also features a multifaceted and state-of-the-art literature review on healthcare data, its modalities, complexities, and methodologies, along with mathematical formulations. The book is divided into two main sections, the first of which discusses the challenges and opportunities associated with the implementation of big data in the healthcare sector. In turn, the second addresses the mathematical modeling of healthcare problems, as well as current and potential future big data applications and platforms.
    Note: Big data analytics and its benefits in Health care -- Elements of Healthcare Big Data Analytics -- Big Data in Supply Chain Management and Medicinal Domain -- A Review of Big Data and its Applications in Healthcare and Public Sector- Innovative mHealth Solution for Reliable Patient Data Empowering Rural Health Care in Developing Countries -- Big Data Analytics in Healthcare using Spreadsheets.
    Additional Edition: ISBN 3-030-31671-8
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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