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Hidden Markov Models for Medical Diagnosis

Laurent Jeanpierre 1 François Charpillet 1
1 MAIA - Autonomous intelligent machine
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This paper shows how the experiment of the Diatelic Project, a Continuous Ambulatory Peritoneal Dialysis monitoring system, has taught us rules concerning the creation of intelligent agents based on a similar architecture. In particular, we explain how a fuzzy discretization of continuous sensors allows for a great model simplification while keeping some good precision in the diagnosis. The adaptation of this architecture to an anaesthesia-monitoring problem is developed, highlighting the qualities and the drawbacks of this kind of models.
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https://hal.inria.fr/inria-00100812
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Submitted on : Tuesday, September 26, 2006 - 2:51:11 PM
Last modification on : Friday, February 26, 2021 - 3:28:04 PM

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  • HAL Id : inria-00100812, version 1

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Laurent Jeanpierre, François Charpillet. Hidden Markov Models for Medical Diagnosis. 4th International Workshop on Enterprise Networking and Computing in Health Care Industry - HEALTHCOM 2002, 2002, Nancy, France, 5 p. ⟨inria-00100812⟩

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