A Conceptual Graph Description of Medical Data for Brain Tumour Classification

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 he...

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Bibliographic Details
Published inConceptual Structures: Knowledge Architectures for Smart Applications pp. 140 - 153
Main Authors Croitoru, Madalina, Hu, Bo, Dashmapatra, Srinandan, Lewis, Paul, Dupplaw, David, Xiao, Liang
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg
SeriesLecture Notes in Computer Science
Subjects
Brain Tumour
Conceptual Graph
Magnetic Resonance Spectroscopy
Query Graph
User Query
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Summary: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.
ISBN:9783540736806
3540736808
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-540-73681-3_11