Real-Time Clinical Decision Support System with Data Stream Mining.
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 t...
| Publicado en: | Journal of Biomedicine & Biotechnology Vol. 2012; pp. 1 - 9 |
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| Autores principales: | , , , |
| Formato: | algorithm equations & formulas tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
2012
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=85115226&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 85115226 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11107243 137K jtl: Journal of Biomedicine & Biotechnology issn: 11107243 maglogo: N pubinfo: dt: 2012 vid: 2012 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 85115226 85115226 85115226 10.1155/2012/580186 85115226 ppf: 1 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Real-Time Clinical Decision Support System with Data Stream Mining. aug: au: Yang Zhang Fong, Simon Fiaidhi, Jinan Mohammed, Sabah affil: Department of Computer and Information Science, University of Macau, Macau sug: subj: Data Mining Decision Making, Computer Assisted Health Information Algorithms ab: 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. pubtype: Academic Journal doctype: algorithm equations & formulas tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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