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...
| Published in: | Journal of Biomedicine & Biotechnology Vol. 2012; pp. 1 - 9 |
|---|---|
| Main Authors: | , , , |
| Format: | tables/charts Journal Article |
| Published: |
Wiley-Blackwell
2012
|
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104416138&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104416138 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: 104416138 104297948 NLM22851884 PMC3407674 104416138 ppf: 1 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Real-Time Clinical Decision Support System with Data Stream Mining. aug: au: Zhang, Yang 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 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: tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|