A knowledge-rich distributed decision support framework: a case study for brain tumour diagnosis
Dupplaw, David, Croitoru, Madalina, Dasmahapatra, Srinandan, Gibb, Alex, Gonzalez-Velez, Horacio, Lurgi, Miguel, Hu, Bo, Lewis, Paul and Peet, Andrew (2011) A knowledge-rich distributed decision support framework: a case study for brain tumour diagnosis. [in special issue: Computational Intelligence for Neuro-Oncological Diagnosis] The Knowledge Engineering Review, 26, (3), 247-260. (doi:10.1017/S0269888911000105).
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The HealthAgents pro ject aims to provide a decision support system for brain tumour diagnosis using a collaborative network of distributed agents. The goal is that through the aggregation of the small datasets available at individual hospitals much better decision support classiﬁers can be created and made available to the hospitals taking part. In this paper we describe the technicalities of the HealthAgents framework, in particular how the inter-operability of the various agents is managed using semantic web technologies. On the broad-scale the architecture is based around distributed data-mart agents that provide ontological access to hospitals’ underlying data that has been anonymised and processed from proprietary formats into a canonical format. Classiﬁer producers have agents that gather the global data from participating hospitals such that classiﬁers can be created and deployed as agents. The design on a micro-scale has each agent built upon a generic layered-framework that provides the common agent program code, allowing rapid development of agents for the system. We believe our framework provides a well-engineered, agent-based approach to data-sharing in a medical context. It can provide a better basis on which to investigate the eﬀectiveness of new classiﬁcation techniques for brain tumour diagnosis.
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer)
|Divisions:||Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Web & Internet Science
|Date Deposited:||10 May 2010 13:04|
|Last Modified:||27 Mar 2014 20:16|
|Further Information:||Google Scholar|
|ISI Citation Count:||0|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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