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Conference Papers Year : 2002

Hidden Markov Models for Medical Diagnosis

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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Dates and versions

inria-00100812 , version 1 (26-09-2006)

Identifiers

  • HAL Id : inria-00100812 , version 1

Cite

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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