IoE-Based Systems for Real-Time Health Data Analytics

Abstract

The introduction of technologies that are a component of the Internet of Everything (IoE) in the healthcare business is being considered. In this article, we will investigate how the Internet of Everything (IoE), which consists of linked bias, detectors, and data analytics platforms, makes it possible to continuously monitor and analyze physiological indicators such as the fluctuation of heart rate, blood glucose levels, and effort patterns. Specifically, we will look at how the IoE makes it possible to monitor and analyze these indicators. When healthcare professionals make use of fabrics that are connected to the Internet of Everything, they can collect and reuse significant volumes of data from a wide variety of sources in real time. Rapid action and the provision of healthcare that is supported by evidence are both made possible as a result of this process. Important factors include detection networks, powerful computing systems, and advanced analytics techniques. These variables are used for the aim of prophetic modeling and discovering anomalies using these techniques.