Healthcare data analytics for wearable sensors
In a growing number of machine learning applications—such as autonomous monitoring of hospital rooms, remote patient monitoring, and node or link prediction in evolving networks—one must make online, real-time decisions and continuously improve performance with the sequential arrival of data. This chapter discusses different aspect of healthcare data analytics for wearable sensors highlighting big data and Edge artificial intelligence which intersects between hardware and software analytics. This chapter underlines the challenging issues about the healthcare data analytics such as network scalability, data accuracy, power consumptions of wearable sensing devices, data privacy and security.
Wearable Physical, Chemical and Biological Sensors
Digital Object Identifier (DOI)
Md Shaad Mahmud, Chapter 6 - Healthcare data analytics for wearable sensors, Editor(s): Eden Morales-Narvaez, Can Dincer, Wearable Physical, Chemical and Biological Sensors, Elsevier, 2022, Pages 169-182, ISBN 9780128216613, https://doi.org/10.1016/B978-0-12-821661-3.00007-0.
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