Real-Time Clinical Decision Support System with Data Stream Mining
Joint Authors
Mohammed, Sabah
Fiaidhi, Jinan
Zhang, Yang
Fong, Simon
Source
Journal of Biomedicine and Biotechnology
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-07-18
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Zhang, Yang& Fong, Simon& Fiaidhi, Jinan& Mohammed, Sabah. 2012. Real-Time Clinical Decision Support System with Data Stream Mining. Journal of Biomedicine and Biotechnology،Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-482372
Modern Language Association (MLA)
Zhang, Yang…[et al.]. Real-Time Clinical Decision Support System with Data Stream Mining. Journal of Biomedicine and Biotechnology No. 2012 (2012), pp.1-8.
https://search.emarefa.net/detail/BIM-482372
American Medical Association (AMA)
Zhang, Yang& Fong, Simon& Fiaidhi, Jinan& Mohammed, Sabah. Real-Time Clinical Decision Support System with Data Stream Mining. Journal of Biomedicine and Biotechnology. 2012. Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-482372
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-482372