Abstract
This paper introduces HealthAgents, an EC-funded research project to improve the classification of brain tumours through multi-agent decision support over a secure and distributed network of local databases or Data Marts. HealthAgents will not only develop new pattern recognition methods for distributed classification and analysis of in vivo MRS and ex vivo/in vitro HRMAS and DNA data, but also define a method to assess the quality and usability of a new candidate local database containing a set of new cases, based on a compatibility score. Using its Multi-Agent architecture, HealthAgents intends to apply cutting-edge agent technology to the Biomedical field and develop the HealthAgents network, a globally distributed information and knowledge repository for brain tumour diagnosis and prognosis.
Special thanks from the HealthAgents Consortium to Carla Delgado and Ewen Maclean who put together the contributions from several colleagues in the consortium in order to build this text.
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Lluch-Ariet, M. et al. (2007). On the Implementation of HealthAgents: Agent-Based Brain Tumour Diagnosis. In: Annicchiarico, R., Cortés, U., Urdiales, C. (eds) Agent Technology and e-Health. Whitestein Series in Software Agent Technologies and Autonomic Computing. Birkhäuser Basel. https://doi.org/10.1007/978-3-7643-8547-7_2
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