Medical Data Analytics and Wearable Devices

Authors

DOI:

https://doi.org/10.4108/eetsc.v6i4.2264

Keywords:

Wearable Technology, Decision Making, Rehabilitation, Artificial Technology, Data Analytics

Abstract

Clinical decision-making may be directly impacted by wearable application. Some people think that wearable technologies, such as patient rehabilitation outside of hospitals, could boost patient care quality while lowering costs. The big data produced by wearable technology presents researchers with both a challenge and an opportunity to expand the use of artificial intelligence (AI) techniques on these data. By establishing new healthcare service systems, it is possible to organise diverse information and communications technologies into service linkages. This includes emerging smart systems, cloud computing, social networks, and enhanced sensing and data analysis techniques. The characteristics and features of big data, the significance of big data analytics in the healthcare industry, and a discussion of the effectiveness of several machine learning algorithms employed in big data analytics served as our conclusion.

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Published

11-10-2022

How to Cite

[1]
I. Manoharan, J. L. J, Sowmiya E C, H. S., and John Amose, “Medical Data Analytics and Wearable Devices”, EAI Endorsed Trans Smart Cities, vol. 6, no. 4, p. e2, Oct. 2022.