Intelligent IoT Systems in Personalized Health Care delivers a
significant forum for the technical advancement of IoMT learning in
parallel computing environments across biomedical engineering
diversified domains and its applications. Pursuing an
interdisciplinary approach, the book focuses on methods used to
identify and acquire valid, potentially useful knowledge sources.
The book presents novel, in-depth, fundamental research
contributions from a methodological/application perspective to help
readers understand the fusion of AI with IoT and its capabilities
in solving a diverse range of problems for biomedical engineering
and its real-world personalized health care applications. The book
is well suited for researchers exploring the significance of IoT
based architecture to perform predictive analytics of user
activities in sustainable health.
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