title: Real-time clinical decision support system with data stream mining.
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.
authors.affiliation: Department of Computer and Information Science, University of Macau, Macau.
authors.forename: Yang
authors.initials: Y
authors.lastname: Zhang
authors.forename: Simon
authors.initials: S
authors.lastname: Fong
authors.forename: Jinan
authors.initials: J
authors.lastname: Fiaidhi
authors.forename: Sabah
authors.initials: S
authors.lastname: Mohammed
mesh_terms: D002648:Child; D003199:Computer Systems; D057225:Data Mining / Q000379:methods*; D020000:Decision Support Systems, Clinical; D005246:Feedback; D006801:Humans; D008128:Logic