Data stream management (DSM) for cyber-physical systems (CPSs) provides good quality
care services in the medical domain. This is a very prominent field of research that includes …

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 …

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 …

Summary form only given. A new class of data-intensive applications, such as sensor
networks, network traffic analysis, financial tickers, Web or telecommunications transaction …