User-centered visual analysis using a hybrid reasoning architecture for intensive care units - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Decision Support Systems Année : 2012

User-centered visual analysis using a hybrid reasoning architecture for intensive care units

Résumé

One problem pertaining to Intensive Care Unit information systems is that, in some cases, a very dense display of data can result. To ensure the overview and readability of the increasing volumes of data, some special features are required (e.g., data prioritization, clustering, and selection mechanisms) with the application of analytical methods (e.g., temporal data abstraction, principal component analysis, and detection of events). This paper addresses the problem of improving the integration of the visual and analytical methods applied to medical monitoring systems. We present a knowledge- and machine learning-based approach to support the knowledge discovery process with appropriate analytical and visual methods. Its potential benefit to the development of user interfaces for intelligent monitors that can assist with the detection and explanation of new, potentially threatening medical events. The proposed hybrid reasoning architecture provides an interactive graphical user interface to adjust the parameters of the analytical methods based on the users' task at hand. The action sequences performed on the graphical user interface by the user are consolidated in a dynamic knowledge base with specific hybrid reasoning that integrates symbolic and connectionist approaches. These sequences of expert knowledge acquisition can be very efficient for making easier knowledge emergence during a similar experience and positively impact the monitoring of critical situations. The provided graphical user interface incorporating a user-centered visual analysis is exploited to facilitate the natural and effective representation of clinical information for patient care.
Fichier principal
Vignette du fichier
kamsu_6862.pdf (895.8 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03531007 , version 1 (18-01-2022)

Identifiants

Citer

Bernard Kamsu-Foguem, Germaine Tchuenté Foguem, Laurent Allart, Youcef Zennir, Christian Vilhelm, et al.. User-centered visual analysis using a hybrid reasoning architecture for intensive care units. Decision Support Systems, 2012, 54 (1), pp.496-509. ⟨10.1016/j.dss.2012.06.009⟩. ⟨hal-03531007⟩
1 Consultations
21 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More