Intelligent Interactive Multimedia Systems for E-Healthcare Applications 1st Edition

[LeeAndro]

English | 2022 | ISBN: 9781003282112 | 462 pages | True PDF | 33.69 MB

This new volume explores how the meg of interactive muldia with artificial intelligence has created new and advanced tools in healthcare.​

It looks at how the latest technologies (artificial intelligence, deep learning, machine learning, big data, IoT, smart device, etc.) help to manage health data, diagnose health issues, monitor treatment, predict pand diseases, and more.

The book covers several important applications of muldia in healthcare, including for data visualization purposes, for computer vision for elder healthcare monitoring, for detection of lung nodules, for management systems using machine learning techniques, and for fusion applications in medical image processing. The chapter authors discuss using data mining and machine learning techniques for COVID-19 diagnosis and prediction, in detecting knee osteoarthritis using texture descriptor algorithms, in applying algorithms in fetal ECG enhancement using blockchain for wearable internet of things in healthcare, and more. A chapter also reviews how doctors can make good use of genomics and genetic data through advanced technology. The book concludes with discussions of open issues, challenges, and future research directions for using intelligent interactive muldia in healthcare.

Key features

Provides an in-depth understanding of emeg 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
Intelligent Interactive Muldia Systems for e-Healthcare Applications will be valuable to undergraduate and graduate students planning their careers in either industry or research and to software eeers for using muldia with artificial intelligence, deep learning, big data, and IoT for healthcare applications.



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