Real-Time Clinical Decision Support System with Data Stream Mining. (18th July 2012)

• Record Type: Journal Article
• Authors: Zhang, Yang; Fong, Simon; Fiaidhi, Jinan; Mohammed, Sabah
• Other Names: Kim Tai Hoon Academic Editor.
• Is Part Of: Journal of biomedicine and biotechnology. Volume 2012(2012)
• Publication Date: 2012-07-18
• Subjects: Medicine -- Periodicals; Biology -- Periodicals; Biotechnology -- Periodicals; Medicine; Biology; Biotechnology; Médecine; Biologie; Biotechnologie; Biology; Biotechnology; Medicine; Biotechnology; Biomedicine; Electronic journals; Periodical; Periodicals; Electronic journals; 610
• DOI: 10.1155/2012/580186
• Languages: English
• ISSNs: 1110-7243

Abstract

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.