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Intelligent Interactive Multimedia Systems for e-Healthcare Applications (EPUB)

Intelligent Interactive Multimedia Systems for e-Healthcare Applications

Authored by Shaveta Malik, this comprehensive volume delves into the fusion of interactive multimedia with artificial intelligence, creating cutting-edge tools in healthcare. It explores how the latest technologies, including artificial intelligence, deep learning, machine learning, big data, IoT, and smart devices, are utilized to manage health data, diagnose health issues, monitor treatment, predict pandemic diseases, and more.

Applications of Multimedia in Healthcare

The book covers several significant applications of multimedia in healthcare, such as:

  • Data visualization purposes
  • Computer vision for elder healthcare monitoring
  • Detection of lung nodules
  • Management systems using machine learning techniques
  • Fusion applications in medical image processing

Technological Innovations in Healthcare

Chapter authors discuss the use of data mining and machine learning techniques for:

  • COVID-19 diagnosis and prediction
  • Detecting knee osteoarthritis using texture descriptor algorithms
  • Applying algorithms in fetal ECG enhancement
  • Blockchain for wearable internet of things in healthcare

A chapter also reviews how doctors can leverage genomics and genetic data through advanced technology.

Future Directions and Challenges

The book concludes with discussions of open issues, challenges, and future research directions for using intelligent interactive multimedia in healthcare.

Key Features:

  • Provides an in-depth understanding of emerging technologies and integration of artificial intelligence, deep learning, big data, IoT in healthcare
  • Details specific applications for the use of AI, big data, and IoT in healthcare
  • Discusses how AI technology can help in formulating protective measures for COVID-19 and other diseases
  • Includes case studies

Target Audience:

Intelligent Interactive Multimedia Systems for e-Healthcare Applications will be valuable to undergraduate and graduate students planning their careers in either industry or research and to software engineers for using multimedia with artificial intelligence, deep learning, big data, and IoT for healthcare applications.

Publication Details:

Published by Apple Academic Press on November 30, 2022, in English. ISBN: 9781774910221, 9781000573022.

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