Séroussi, Brigitte
Guezennec, Gilles
Lamy, Jean-Baptiste
Muro, Naiara
Larburu, Nekane
Sekar, Booma Devi
Prebet, Coralie
Bouaud, Jacques
2017-11-08
<p>Breast cancer is the most common cancer among women. DESIREE is a European project which aims at developing web-based services for the management of primary breast cancer by multidisciplinary breast units (BUs). We describe the guideline-based decision support system (GL-DSS) of the project. Various breast cancer clinical practice guidelines (CPGs) have been selected to be concurrently applied to provide state-of-the-art patient-specific recommendations. The aim is to reconcile CPG recommendations with the objective of complementarity to enlarge the number of clinical situations covered by the GL-DSS. Input and output data exchange with the GL-DSS is performed using FHIR. We used a knowledge model of the domain as an ontology on which relies the reasoning process performed by rules that encode the selected CPGs. Semantic web tools were used, notably the Euler/EYE inference engine, to implement the GL-DSS. “Rainbow boxes” are a synthetic tabular display used to visualize the inferred recommendations.</p>
https://doi.org/10.5281/zenodo.1466822
oai:zenodo.org:1466822
eng
©2017 AMIA
https://zenodo.org/communities/desiree
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.1466821
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
AMIA, AMIA Annual Symposium 2017, Washington DC, USA, 4-8 November 2017
Reconciliation of multiple guidelines for decision support: a case study on the multidisciplinary management of breast cancer within the DESIREE project.
info:eu-repo/semantics/conferencePaper