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Journal of Biomedicine and Biotechnology
Volume 2012, Article ID 580186, 8 pages
http://dx.doi.org/10.1155/2012/580186
Research Article

Real-Time Clinical Decision Support System with Data Stream Mining

1Department of Computer and Information Science, University of Macau, Macau
2Department of Computer Science, Lakehead University, Thunder Bay, Canada

Received 24 May 2012; Accepted 27 May 2012

Academic Editor: Tai Hoon Kim

Copyright © 2012 Yang Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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 a growing concern of combining software technology and medical functions for the development of software application that can be used in medical field of chronic disease prognosis and diagnosis, children healthcare, diabetes diagnosis, and so forth. Most of the existing software technologies are case-based data mining systems. They only can analyze finite and structured data set and can only work well in their early years and can hardly meet today's medical requirement. In this paper, we describe a clinical-support-system based data stream mining technology; the design has taken into account all the shortcomings of the existing clinical support systems.