HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

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
Document type :
Conference papers
Complete list of metadata
https://hal.inria.fr/inria-00100826
Contributor : Publications Loria Connect in order to contact the contributor
Submitted on : Tuesday, September 26, 2006 - 2:52:05 PM
Last modification on : Friday, February 26, 2021 - 3:28:04 PM

Identifiers

  • HAL Id : inria-00100826, version 1

Collections

INRIA | CNRS | INRIA2 | LORIA | UNIV-LORRAINE

Citation

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⟩

Export

BibTeX TEI DC DCterms EndNote Datacite

Share

Metrics

Record views

228

 

Contact                    Legal Notice                    Personal Data