HealthAgents: Distributed multi-agent brain tumor diagnosis and prognosis

Horacio González-Vélez, Mariola Mier, Margarida Julià-Sapé, Theodoros N. Arvanitis, Juan M. García-Gómez, Montserrat Robles, Paul H. Lewis, Srinandan Dasmahapatra, David Dupplaw, Andrew Peet, Carles Arús, Bernardo Celda, Sabine Van Huffel, Magí Lluch-Ariet

Research output: Contribution to journalArticleResearchpeer-review

69 Citations (Scopus)


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 tumors using such a decision support system based on intelligent agents to securely connect a network of clinical centers. The HealthAgents system is implementing novel pattern recognition discrimination methods, in order to analyze 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 tumor diagnosis and prognosis. © 2007 Springer Science+Business Media, LLC.
Original languageEnglish
Pages (from-to)191-202
JournalApplied Intelligence
Publication statusPublished - 1 Jun 2009


  • Agents
  • Computational intelligence
  • Decision support systems
  • Machine learning
  • Magnetic resonance
  • Medical informatics
  • Medical ontologies
  • Pattern recognition


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