Since the population is growing, the need for high quality and efficient healthcare, both at home and in hospital, is becoming more important. This paper presents the innovative …
With the increasing popularity of the Internet-of-Medical-Things (IoMT) and smart devices, huge volumes of data streams have been generated. This study aims to address the concept …
Background Medical data stream clustering has become an integral part of medical decision systems since it extracts highly-sensitive information from a tremendous flow of medical …
Recent advances in the information and communication technologies, especially the rapid development of wireless communication, sensor networks, mobile computing technologies …
With a massive increase of available data sources, their high data rates and requirements for fast response, we have witnessed the emergence of data stream processing as a new …
Medical data streams processing becomes increasingly important since it extracts critical information from a continuous flow of patient data. Various types of problems have been …
Y Zhang, S Fong, J Fiaidhi… - BioMed Research …, 2012 - Wiley Online Library
This research aims to describe a new design of data stream mining system that can analyze medical data stream and make real‐time prediction. The motivation of the research is due to …
In this work we discuss SDSPbMM, an integrated Strategy for Data Stream Processing based on Measurement Metadata, applied to an outpatient monitoring scenario. The …
V Goebel, T Plagemann - … of the 8th International Conference on …, 2005 - ieeexplore.ieee.org
Summary form only given. A new class of data-intensive applications, such as sensor networks, network traffic analysis, financial tickers, Web or telecommunications transaction …