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A Conceptual Graph Description of Medical Data for Brain Tumour Classification

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Conceptual Structures: Knowledge Architectures for Smart Applications (ICCS 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4604))

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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.

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Uta Priss Simon Polovina Richard Hill

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Croitoru, M., Hu, B., Dashmapatra, S., Lewis, P., Dupplaw, D., Xiao, L. (2007). A Conceptual Graph Description of Medical Data for Brain Tumour Classification. In: Priss, U., Polovina, S., Hill, R. (eds) Conceptual Structures: Knowledge Architectures for Smart Applications. ICCS 2007. Lecture Notes in Computer Science(), vol 4604. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73681-3_11

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  • DOI: https://doi.org/10.1007/978-3-540-73681-3_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73680-6

  • Online ISBN: 978-3-540-73681-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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