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Smart Healthcare Analytics: State of the Art (Original PDF from Publisher)

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Publisher PDF , File Size = 5.10 MB

smart healthcare analytics state of the art original pdf from publisher 63a15e340b375 | Medical Books & CME Courses

Product Title: Smart Healthcare Analytics: State of the Art (Original PDF from Publisher)

Format:

Publisher PDF, File Size = 5.10 MB

Overview (Details, Topics and Speakers):

This edited book helps researchers and practitioners to understand e-health, m-healthcare architecture through IoT and the state of the art in IoT counter measures. This book provides a comprehensive discussion on a functional framework for IoT-based healthcare systems, intelligent medicine box, RFID technology, HMI, cognitive interpretation, BCI, remote health monitoring systems, wearable sensors, WBAN, healthcare analytics, machine learning (ML) techniques for IoT-enabled healthcare services, security and privacy issues in IoT-based healthcare monitoring systems. The book discusses integration of IoT with big data and cloud computing for solving several real-time problems by the use of smart healthcare applications. In these applications, the cloud computing provides a common workplace for IoT and big data, big data provides data analytics technology and IoT provides the source of data. It serves as a reference resource for researchers and practitioners in academia and industry.

Product Details

  • Publisher: Springer Singapore; September 30, 2021
  • Language: English
  • ISBN: 978-9811653032
  • ISBN: 9789811653032
  • eText ISBN: 9789811653049

Delivery Method

the Smart Healthcare Analytics: State of the Art (Original PDF from Publisher) course/book will be provided for customer as download link. download link has NO Expiry and can be used anytime.

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