Can I read Fog-cloud architecture-driven Internet of Medical Things framework for healthcare monitoring on EtoBox?

Fog-cloud architecture-driven Internet of Medical Things framework for healthcare monitoring by Emre Yıldırım; Murtaza Cicioğlu; Ali Çalhan is a Medicine article available to read on EtoBox.

What is Fog-cloud architecture-driven Internet of Medical Things framework for healthcare monitoring about?

The new coronavirus disease has increased the need for new technologies such as the Internet of Medical Things (IoMT), Wireless Body Area Networks (WBANs), and cloud computing in the health sector as well as in many areas. These technologies have also made it possible for billions of devices to connect to the internet and communicate with each other. In this study, an Internet of Medical Things (IoMT) framework consisting of Wireless Body Area Networks (WBANs) has been designed and the health big data from WBANs have been analyzed using fog and cloud computing technologies. Fog computing is used for fast and easy analysis, and cloud computing is used for time-consuming and complex analysis. The proposed IoMT framework is presented with a diabetes prediction scenario. The diabetes prediction process is carried out on fog with fuzzy logic decision-making and is achieved on cloud with support vector machine (SVM), random forest (RF), and artificial neural network (ANN) as machine learning algorithms. The dataset produced in WBANs is used for big data analysis in the scenario for both fuzzy logic and machine learning algorithm. The fuzzy logic gives 64% accuracy performance in fog and

Who reads Fog-cloud architecture-driven Internet of Medical Things framework for healthcare monitoring?

Author

Emre Yıldırım; Murtaza Cicioğlu; Ali Çalhan

Publisher

Springer Science and Business Media LLC

Published

2023

Language

EN

Field

Medicine (Health Sciences)