Ontology-mediated distributed decision support for breast cancer

Authors:
S. Dasmahapatra;D. Dupplaw;B. Hu;P. Lewis;N. Shadbolt
Affiliations:
IAM, School of Electronics and Computer Science (ECS), University of Southampton, Southampton, UK;IAM, School of Electronics and Computer Science (ECS), University of Southampton, Southampton, UK;IAM, School of Electronics and Computer Science (ECS), University of Southampton, Southampton, UK;IAM, School of Electronics and Computer Science (ECS), University of Southampton, Southampton, UK;IAM, School of Electronics and Computer Science (ECS), University of Southampton, Southampton, UK
Venue:
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
Year:
2005

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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.