Scenario recognition for temporal reasoning in medical domains. - Archive ouverte HAL Access content directly
Journal Articles Artificial Intelligence in Medicine Year : 1998

Scenario recognition for temporal reasoning in medical domains.

(1) , (2) , (2)
1
2

Abstract

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.
Embargoed file
Embargoed file
Ne sera jamais visible
Loading...

Dates and versions

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

Identifiers

  • HAL Id : inserm-00402424 , version 1
  • PUBMED : 9779887

Cite

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. ⟨inserm-00402424⟩
141 View
0 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More