Paper Info
Title
A Conceptual Graph Description of Medical Data for Brain Tumour Classification
Abstract
HealthAgents proposes an agent-based distributed decision support system for brain tumour diagnosis and prognosis which employs Magnetic Resonance Imaging and Magnetic Resonance Spectroscopy techniques and genomic profiles. From a knowledge representation view point the distributed nature and the heterogeneity of the data to be integrated pose a number of challenging problems. This paper shows how Conceptual Graphs can be employed to describe the data sources in the HealthAgents system. Such knowledge representation based description of data allows for reasoning power when querying and for data modularisation capabilities.
Year
DOI
Venue
2007
10.1007/978-3-540-73681-3_11
ICCS
Keywords
Field
DocType
magnetic resonance imaging,data modularisation capability,decision support system,medical data,conceptual graph description,brain tumour classification,conceptual graphs,knowledge representation,healthagents system,knowledge representation view point,magnetic resonance spectroscopy technique,data source,brain tumour diagnosis,magnetic resonance spectroscopy,magnetic resonance image,conceptual graph
Graph,Data mining,Knowledge representation and reasoning,Support system,Computer science,Conceptual graph,Tumour classification,Distributed decision
Conference
Volume
ISSN
Citations 
4604
0302-9743
2
PageRank 
References 
Authors
0.48
3
6
Name
Order
Citations
PageRank
Madalina Croitoru19110.24
Bo Hu216127.21
Srinandan Dashmapatra3292.35
Paul Lewis417516.00
David Dupplaw525726.86
Liang Xiao643165.25