A logic-based calculus of events
New Generation Computing
A theory of diagnosis from first principles
Artificial Intelligence
Characterizing diagnoses and systems
Artificial Intelligence
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Analysis of notions of diagnosis
Artificial Intelligence
Guardian: An Intelligent Autonomous Agent for Medical Monitoring and Diagnosis
IEEE Intelligent Systems
A Multi-agent System for Organ Transplant Co-ordination
AIME '01 Proceedings of the 8th Conference on AI in Medicine in Europe: Artificial Intelligence Medicine
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ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
A protocol for multi-agent diagnosis with spatially distributed knowledge
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Symbolic diagnosis and its formalisation
The Knowledge Engineering Review
Distributed Diagnosis in Dynamic Fault Environments
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Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
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IEEE Intelligent Systems
Sensor Network Grids: Agent Environments Combined with QoS in Wireless Sensor Networks
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GECON '08 Proceedings of the 5th international workshop on Grid Economics and Business Models
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WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
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Journal of Ambient Intelligence and Smart Environments - Home-based Health and Wellness Measurement and Monitoring
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We present the development of COMMODITY12, a Personal Health System PHS to assist in the provision of continuous and personalised health services to diabetic patients, thus empowering their lifestyle regardless of their location. COMMODITY12 consists of ambient, wearable and portable devices, which acquire, monitor and communicate physiological parameters and other health-related context of an individual, such as physical activity and vital body signals. This data is interpreted by intelligent agents that use expert biomedical knowledge to derive important insights about the individual's health status, which are then presented in the form of active feedback to the patient directly from the device, or via health professionals who assist in diagnosis, treatment and life management. The emphasis of the work is on the design of the PHS in terms of its main components, their integration and deployment to address major problems of interest to both diabetic patients and doctors that treat diabetes.