Edge Computing and Data Mining Techniques for Smart Healthcare using Wearble Devices
This paper presents use of various data mining techniques and use of wearable devices for healthcare. Devices
mainly gather the real time data from patient and can store on cloud or for limited time on the device. In this paper we are
mainly focusing on various datamining techniques used in decision making and also in emergency call generation. We
mainly focused on use of wearable device such as ‘Fitband’ for data collection such as Pulse, Sleep ,pattern , temperature.
Collected data can be stored on local memory for one or two days. We can apply some data analytics techniques such as
association rules, regressions and statistical methods .We are mainly introducing new concept of ‘Fog computing’ which
will give us effective computation speed and fast access to patient .This techniques will reduce the data traffic on smart
city network and Emergency can be handled in more precise way.
Keywords - Wearable Devices, Association Rule, Data Analytics Techniques, Fog Computing, Smart Healthcare.