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Une plateforme multimodale d'aide à la décision: Application à la prise en charge du cancer du sein dans le cadre du projet DESIREE.

Authors :
SEROUSSI, Brigitte
LAMY, Jean-Baptiste
PREBET, Coralie
NGO, Charlotte
TEIXEIRA, Luis
UGARRIZA, Amaia
SEKAR, Booma Devi
LARBURU, Nekane
MURO, Naiara
GUÉZENNEC, Gilles
BOUAUD, Jacques
Source :
Technique et Science Informatiques. 2018, Vol. 37 Issue 1-6, p11-38. 28p.
Publication Year :
2018

Abstract

In order to improve health care quality, we have developed a platform including three clinical decision support systems (CDSSs) based on complementary approaches, (i) a CDSS based on clinical practice guidelines (CPGs) that provides patient-centered state of the art recommendations, (ii) a CDSS based on the experience gained when informed clinician users decide not to follow CPGs and make non-compliant decisions that they are asked to justify, and (iii) a case-based reasoning CDSS. The three CDSSs are smoothly interacting under the control of a domain ontology. Used as a conceptual and terminological structure, the domain ontology proposes a generic data model (entity-attribute-value) and a knowledge model used for ontological reasoning (subsumption) and deductive decision support (inferences). The platform has been developed to improve the management of breast cancer patients within the European Commission funded project DESIREE. [ABSTRACT FROM AUTHOR]

Details

Language :
French
ISSN :
07524072
Volume :
37
Issue :
1-6
Database :
Academic Search Index
Journal :
Technique et Science Informatiques
Publication Type :
Periodical
Accession number :
145251590
Full Text :
https://doi.org/10.3166/tsi37-0001