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Designing smart agent based telemedicine systems using dynamic bayesian networks: an application to kidney disease people

David Bellot 1 Anne Boyer 1 François Charpillet 1
1 MAIA - Autonomous intelligent machine
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Telemedicine is the delivery of health-care services, where distance is a critical factor. The use of smart agent and artificial intelligence techniques to enhance such services is proposed through a description of the needs and goals of a smart agent based telemedicine system. A real-world example is presented and the use of dynamic bayesian networks (DBN) is promoted because DBN forms a well-suited formal framework to deal with uncertainty and stochactic processes which are characteristic of the domain of telemedicine. The model given in our real-world application aims at giving a daily diagnosis on the hydration state of kidney disease people. Our experiments are under way by using data of an already existing system.
Keywords : réseau bayésien dynamique smart agents agent intelligent
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Conference papers
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https://hal.inria.fr/inria-00100826
Contributor : Publications Loria <>
Submitted on : Tuesday, September 26, 2006 - 2:52:05 PM
Last modification on : Friday, February 26, 2021 - 3:28:04 PM

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  • HAL Id : inria-00100826, version 1

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INRIA | CNRS | LORIA | UNIV-LORRAINE

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David Bellot, Anne Boyer, François Charpillet. Designing smart agent based telemedicine systems using dynamic bayesian networks: an application to kidney disease people. 4th International Workshop on Enterprise Networking and Computing in Health Care Industry - HEALTHCOM 2002, 2002, Nancy, France, 8 p. ⟨inria-00100826⟩

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