Scenario recognition for temporal reasoning in medical domains - Inserm - Institut national de la santé et de la recherche médicale Accéder directement au contenu
Article Dans Une Revue Artificial Intelligence in Medicine Année : 1998

Scenario recognition for temporal reasoning in medical domains

Résumé

The recognition of high level clinical scenes is fundamental in patient monitoring. In this paper, we propose a technique for recognizing a session, i.e. the clinical process evolution, by comparison against a predetermined set of scenarios, i.e. the possible behaviors for this process. We use temporal constraint networks to represent both scenario and session. Specific operations on networks are then applied to perform the recognition task. An index of temporal proximity is introduced to quantify the degree of matching between two temporal networks in order to select the best scenario fitting a session. We explore the application of our technique, implemented in the Déjà Vu system, to the recognition of typical medical scenarios with both precise and imprecise temporal information.
Fichier principal
Vignette du fichier
AIM98.pdf (286.41 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

inserm-00402424 , version 1 (07-07-2009)

Identifiants

Citer

Michel Dojat, Nicolas Ramaux, Dominique Fontaine. Scenario recognition for temporal reasoning in medical domains. Artificial Intelligence in Medicine, 1998, 14 (1-2), pp.139-55. ⟨10.1016/S0933-3657(98)00020-7⟩. ⟨inserm-00402424⟩
143 Consultations
4 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More