Applied Intelligence

, Volume 30, Issue 3, pp 191–202 | Cite as

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-ArietEmail author


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.


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



Application Programming Interface


Decision Support System


Evidence-based Search Service


Foundation of Intelligent Physical Agents


Graphical User Interface


HealthAgents Language


High Resolution Magic Angle Spinning Nuclear Magnetic Resonance


Lightweight Coordination Calculus


Linear Discriminant Analysis


Least-Squares Support Vector Machines


Long Time Echo


Magnetic Resonance Imaging


Magnetic Resonance Spectroscopy


Magnetic Resonance Spectroscopic Imaging


Web Ontology Language


Resource Description Framework


Short Time Echo


Support Vector Machines


Yellow Pages


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Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Horacio González-Vélez
    • 1
  • Mariola Mier
    • 1
  • Margarida Julià-Sapé
    • 2
  • Theodoros N. Arvanitis
    • 3
  • Juan M. García-Gómez
    • 4
  • Montserrat Robles
    • 4
  • Paul H. Lewis
    • 5
  • Srinandan Dasmahapatra
    • 5
  • David Dupplaw
    • 5
  • Andrew Peet
    • 6
  • Carles Arús
    • 2
  • Bernardo Celda
    • 7
  • Sabine Van Huffel
    • 8
  • Magí Lluch-Ariet
    • 9
    Email author
  1. 1.University of EdinburghEdinburghUK
  2. 2.Universitat Autònoma de BarcelonaBarcelonaSpain
  3. 3.University of BirminghamBirminghamUK
  4. 4.Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones AvanzadasValenciaSpain
  5. 5.University of SouthamptonSouthamptonUK
  6. 6.University of Birmingham and Birmingham Children’s HospitalBirminghamUK
  7. 7.Universitat de València and Instituto de Salud Carlos IIIValènciaSpain
  8. 8.Katholieke Universiteit LeuvenLeuvenBelgium
  9. 9.MicroArt S.L. Parc Cientific de BarcelonaBarcelonaSpain

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