Abstract
We have developed a prototype system to support decision making in Breast Cancer, wherein the varied nature of expertise is modelled by multiple ontologies that provide domain-specific grounding to concepts and relationships used. While the different medical experts need to be co-present at a meeting, our system employs a distributed architecture for handling data and invoking services appropriate for the requirements of this decision-making process. This distributed system is built upon Semantic Web technology, which enables the possibility of Web-based tele-medicine.
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Dasmahapatra, S., Dupplaw, D., Hu, B., Lewis, P., Shadbolt, N. (2005). Ontology-Mediated Distributed Decision Support for Breast Cancer. In: Miksch, S., Hunter, J., Keravnou, E.T. (eds) Artificial Intelligence in Medicine. AIME 2005. Lecture Notes in Computer Science(), vol 3581. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527770_31
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DOI: https://doi.org/10.1007/11527770_31
Publisher Name: Springer, Berlin, Heidelberg
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