Le Sun1,*, Qiandi Yu1, Dandan Peng1, Sudha Subramani2, Xuyang Wang1
CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 603-619, 2021, DOI:10.32604/cmc.2020.012515
Abstract Recently, an increasing number of works start investigating the combination of fog computing and electronic health (ehealth) applications. However,
there are still numerous unresolved issues worth to be explored. For instance,
there is a lack of investigation on the disease prediction in fog environment
and only limited studies show, how the Quality of Service (QoS) levels of fog services and the data stream mining techniques influence each other to improve the
disease prediction performance (e.g., accuracy and time efficiency). To address
these issues, we propose a fog-based framework for disease prediction based
on Medical sensor data streams, named FogMed. This… More >
Login
Register
