Title
A knowledge-rich distributed decision support framework: a case study for brain tumour diagnosis.
Abstract
The HealthAgents project 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 data sets 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 interoperability 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 anonymized 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 microscale 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 that 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.
Year
DOI
Venue
2011
10.1017/S0269888911000105
KNOWLEDGE ENGINEERING REVIEW
Keywords
Field
DocType
decision support
Data science,Ontology,Small data,Computer science,Interoperability,Data sharing,Decision support system,Semantic Web,Classifier (linguistics),Collaborative network
Journal
Volume
Issue
ISSN
26
SP3.0
0269-8889
Citations 
PageRank 
References 
0
0.34
11
Authors
9
Name
Order
Citations
PageRank
David Dupplaw125726.86
Madalina Croitoru29019.70
Srinandan Dasmahapatra333035.41
Alex Gibb4142.25
H. Gonzalez-Velez530227.46
Miguel Lurgi6113.48
Bo Hu716127.21
Paul H. Lewis863386.28
Andrew Peet911110.48