Real-Time Clinical Decision Support System with Data Stream Mining

被引：15

作者：

Zhang, Yang ^{[1
]}

Fong, Simon ^{[1
]}

Fiaidhi, Jinan ^{[2
]}

Mohammed, Sabah ^{[2
]}

机构：

[1] Univ Macau, Dept Comp & Informat Sci, Macau, Peoples R China

[2] Lakehead Univ, Dept Comp Sci, Thunder Bay, ON P7B 5E1, Canada

来源：

JOURNAL OF BIOMEDICINE AND BIOTECHNOLOGY | 2012年

关键词：

D O I：

10.1155/2012/580186

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

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.

引用

页数：8

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