Intelligent Healthcare by Machine Learning Techniques on Distributed Edge Computing Environment

Abstract

Telemedicine has become an inevitable trend, and telemedicine systems must be based on the cloud platform in order to make good use of personal medical data to provide various types of personal application services. On the other hand, since intelligent long-term care is an inevitable trend, the cloud platform will become the core of the care system in the future. At the same time, the use of machine learning technology will have unlimited potential in the medical field to improve medical outcomes. In this paper, the cloud-based healthcare with machine learning schemes executing under distributed edge computing environment is examined. The distributed association rules mining, and logistic regression schemes are proposed, and the experiment simulations to verify the feasibility of the distributed implementation are conducted.