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A Network Data Analytic Technique in a 5G-IoT-Based Smart Healthcare System Using Machine Learning

Neha Gupta, Sachin Sharma, Pradeep Juneja, Umang Garg

Year
2022
Citations
4

Abstract

Healthcare is an important part of every individual's life. Unfortunately, the rising prevalence of chronic diseases is putting a burden on the modern healthcare system. The internet of things (IoT) with 5G technology offers a number of advantages to the healthcare system, including remote monitoring, remote robotic surgery, and ambulances operating on dedicated network slices, all of which relieve pressure on the traditional healthcare system. 5G-IoT enables billions of healthcare equipment to communicate with one another. These devices will produce a huge amount of data that can be evaluated. In the healthcare industry, data analytics has a huge potential. In this chapter, the authors examine a brief history of machine learning as well as some fundamental knowledge of the methodologies. In addition, the author has provided a brief overview of several machine learning algorithms utilized in healthcare in the context of 5G-IoT. The future aspect of machine learning in a 5G-IoT smart healthcare system was also highlighted.

Keywords

Internet of ThingsHealth careContext (archaeology)Computer scienceHealthcare industryBig dataData scienceAnalyticsArtificial intelligenceComputer security

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