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• W153657424 abstract "We present a successful application of Artificial Intelligence (AI) methodologies in the context of a telemedicine service for diabetic patients management, developed within the EU-funded T-IDDM project. The system architecture is distributed, and composed by a Patient Unit and by a Medical Unit, connected through a telecommunication link. Several AI methods have been exploited to implement the T-IDDM functionality. The data base relies on an explicit representation of the domain ontology. Temporal Abstractions and other Intelligent Data Analysis techniques are used to analyse the patient's monitoring data; the Case Based Reasoning (CBR) methodology is applied to perform the Knowledge Management task. Finally, CBR is integrated with Rule Based Reasoning to provide physicians with a multi-modal reasoning decision support tool. The T-IDDM service is being tested through a small on field trial in Pavia; the first results, though preliminary, seem to substantiate the hypothesis that the use of an AI-based telemedicine system could present an advantage in the management of type 1 diabetic patients, leading to a more tight control of the patients' metabolic situation, in a cost-effective way." @default.
• W153657424 created "2016-06-24" @default.
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• W153657424 date "2000-08-20" @default.
• W153657424 modified "2023-09-24" @default.
• W153657424 title "Artificial Intelligence techniques for diabetes management: the T-IDDM project" @default.
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