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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Description/Abstract

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.

Item Type: Article
ISSNs: 0269-8889 (print)
1469-8005 (electronic)
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
ePrint ID: 271046
Date Deposited: 10 May 2010 13:04
Last Modified: 27 Mar 2014 20:16
Further Information:Google Scholar
ISI Citation Count:0
URI: http://eprints.soton.ac.uk/id/eprint/271046

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