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Автор Sáez, Carlos
Автор García-Gómez, Juan Miguel
Автор Vicente, Javier
Автор Tortajada, Salvador
Автор Luts, Jan
Автор Dupplaw, David
Автор Van Huffel, Sabine
Автор Robles, Montserrat
dc.description AbstractNew biomedical technologies enable the diagnosis of brain tumours by using non-invasive methods. HealthAgents is a European Union-funded research project that aims to build an agent-based distributed decision support system (dDSS) for the diagnosis of brain tumours. This is achieved using the latest biomedical knowledge, information and communication technologies and pattern recognition (PR) techniques. As part of the PR development of HealthAgents, an independent and automatic classification framework (CF) has been developed. This framework has been integrated with the HealthAgents dDSS using the HealthAgents agent platform. The system offers (1) the functionality to search for distributed classifiers to solve specific questions; (2) automatic classification of new cases; (3) instant deployment of new validated classifiers; and (4) the ability to rank a set of classifiers according to their performance and suitability for the case in hand. The CF enables both the deployment of new classifiers using the provided Extensible Markup Language classifier specification, and the inclusion of new PR techniques that make the system extensible. These features may enable the rapid integration of PR laboratory results into industrial or research applications, such as the HealthAgents dDSS. Two classification nodes have been deployed and they currently offer classification services by means of dedicated servers connected to the HealthAgents agent platform: one node being located at the Katholieke Universiteit Leuven, Belgium and the other at the Universidad Politécnica de Valencia, Spain. These classification nodes share the current set of brain tumour classifiers that have been trained from in vivo magnetic resonance spectroscopy data. The combination of the CF with a distributed agent system constitutes the basis of the brain tumour dDSS developed in HealthAgents.
Формат application.pdf
Издатель Cambridge University Press
Копирайт Copyright © Cambridge University Press 2011
Название A generic and extensible automatic classification framework applied to brain tumour diagnosis in HealthAgents
Тип review-article
DOI 10.1017/S0269888911000129
Electronic ISSN 1469-8005
Print ISSN 0269-8889
Журнал The Knowledge Engineering Review
Том 26
Первая страница 283
Последняя страница 301
Аффилиация Sáez Carlos; Universidad Politécnica de Valencia
Аффилиация García-Gómez Juan Miguel; Universidad Politécnica de Valencia
Аффилиация Vicente Javier; Universidad Politécnica de Valencia
Аффилиация Tortajada Salvador; Universidad Politécnica de Valencia
Аффилиация Luts Jan; Katholieke Universiteit Leuven
Аффилиация Dupplaw David; University of Southampton
Аффилиация Van Huffel Sabine; Katholieke Universiteit Leuven
Аффилиация Robles Montserrat; Universidad Politécnica de Valencia
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