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.
https://hal.inria.fr/inria-00100812
Contributeur : Publications Loria
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Soumis le : mardi 26 septembre 2006 - 14:51:11
Dernière modification le : jeudi 11 janvier 2018 - 06:19:50
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, 2002. 〈inria-00100812〉
