HealthAgents: distributed multi-agent brain tumor diagnosis and prognosis

González-Vélez, Horacio, Mier, Mariola, Julià-Sapé, Margarida, Arvanitis, Thodoros N., Garcia-Gomez, Juan M., Robles, Montserrat, Lewis, Paul H., Dasmahapatra, Srinandan, Dupplaw, David, Peet, Andrew, Arús, Carles, Celda, Bernardo, Van Huffel, Sabine and Lluch-Ariet, Magí (2009) HealthAgents: distributed multi-agent brain tumor diagnosis and prognosis. [in special issue: Computational Intelligence Agents] Journal of Applied Intelligence, 30, (3), 191-202. (doi:10.1007/s10489-007-0085-8).


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We present an agent-based distributed decision support system for the diagnosis and prognosis of brain tumors developed by the HEALTHAGENTS project. HEALTHAGENTS is a European Union funded research project, which aims to enhance the classification of brain tumours using such a decision support system based on intelligent agents to securely connect a network of clinical centres. The HEALTHAGENTS system is implementing novel pattern recognition discrimination methods, in order to analyse in vivo Magnetic Resonance Spectroscopy (MRS) and ex vivo/in vitro High Resolution Magic Angle Spinning Nuclear Magnetic Resonance (HR-MAS) and DNA micro-array data. HEALTHAGENTS intends not only to apply forefront agent technology to the biomedical field, but also develop the HEALTHAGENTS network, a globally distributed information and knowledge repository for brain tumour diagnosis and prognosis.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1007/s10489-007-0085-8
ISSNs: 0924-669X (print)
1573-7497 (electronic)
Keywords: machine learning, decision support systems, computational intelligence, agents, pattern recognition, medical ontologies, medical informatics, magnetic resonance
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 > Southampton Wireless Group
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Web & Internet Science
ePrint ID: 267042
Accepted Date and Publication Date:
1 June 2009Published
Date Deposited: 20 Jan 2009 10:22
Last Modified: 31 Mar 2016 14:14
Further Information:Google Scholar

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