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NéoGanesh: a working system for the automated control of assisted ventilation in ICUs.

Abstract : Automating the control of therapy administered to a patient requires systems which integrate the knowledge of experienced physicians. This paper describes NéoGanesh, a knowledge-based system which controls, in closed-loop, the mechanical assistance provided to patients hospitalized in intensive care units. We report on how new advances in knowledge representation techniques have been used to model medical expertise. The clinical evaluation shows that such a system relieves the medical staff of routine tasks, improves patient care, and efficiently supports medical decisions regarding weaning. To be able to work in closed-loop and to be tested in real medical situations, NéoGanesh deals with a voluntarily limited problem. However, embedded in a powerful distributed environment, it is intended to support future extensions and refinements and to support reuse of knowledge bases.
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https://www.hal.inserm.fr/inserm-00402426
Contributor : Michel Dojat <>
Submitted on : Tuesday, July 7, 2009 - 12:26:38 PM
Last modification on : Wednesday, August 19, 2020 - 11:16:27 AM
Long-term archiving on: : Saturday, November 26, 2016 - 10:33:03 AM

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  • HAL Id : inserm-00402426, version 1
  • PUBMED : 9332706

Citation

Michel Dojat, François Pachet, Zahia Guessoum, Dominique Touchard, Alain Harf, et al.. NéoGanesh: a working system for the automated control of assisted ventilation in ICUs.. Artificial Intelligence in Medicine, Elsevier, 1997, 11 (2), pp.97-117. ⟨inserm-00402426⟩

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