Automated knowledge acquisition
Automated knowledge acquisition
A first step towards providing health-care agent-based services to mobile users
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
Microarray data mining: facing the challenges
ACM SIGKDD Explorations Newsletter
Data mining in bioinformatics: report on BIOKDD'03
ACM SIGKDD Explorations Newsletter
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Ontology-based Multi-agent Systems Support Human Disease Study and Control
Proceedings of the 2005 conference on Self-Organization and Autonomic Informatics (I)
An Introduction to MultiAgent Systems
An Introduction to MultiAgent Systems
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Along with an increase in the number of mentally ill people, research into all aspects of mental health has increased in recent years. In all disciplines information is the key to success but major problems adversely affect the efficiency and effectiveness that available mental health information is used. These relate to the lack of existing infrastructure to support effective access and information retrieval, and lack of tools to analyze the available information and derive useful knowledge from it. In this paper we explain how the ontology, multi-agent system and data mining technologies can be implemented within the mental health domain to effectively address these issues. The synergy of these frontier technologies may result in an intelligent information infrastructure that provides effective and efficient use of all available information.