Data Mining in Ubiquitous Healthcare

Abstract

Ubiquitous healthcare is the next step in the integration of information technology with healthcare services and refers to the access to healthcare services at any time and any place for individual consumers through mobile computing technology. Further, ubiquitous healthcare is able to provide enhanced services for patient management such as services that collect patients' data real-time and provide health information by analyzing the data using biomedical signal measurement instruments, which can be carried anytime, anywhere and by everyone online as well as offline. The emergence of these tremendous data sets creates a growing need for analyzing them across geographical lines using distributed and parallel systems. Implementations of data mining techniques on high-performance distributed computing platforms are moving away from centralized computing models for both technical and organizational reasons (Kumar & Kantardzic, 2006). In this paper, we present and discuss the designed prototype for a ubiquitous healthcare system that will provide advanced patient monitoring and health services. Subsequently we introduce and present empirical analysis of a preliminary distributed data mining system. The integration of such a distributed mining system is studied in the context of the decision support framework for our ubiquitous healthcare system. 2.