Implementing Guideline-based, Experience-based, and Case-based approaches to enrich decision support for the management of breast cancer patients in the DESIREE project

Brigitte Seroussi, Jean-Baptiste Lamy, Naiara Muro, Nekane Larburu, Boomadevi Sekar, Gilles Guézennec, Jacques Bouaud

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)
8 Downloads (Pure)

Abstract

DESIREE is a European-funded project to improve the management of primary breast cancer. We have developed three decision support systems (DSSs), a guideline-based, an experience-based, and a case-based DSSs, resp. GL-DSS, EXP-DSS, and CB-DSS, that operate simultaneously to offer an enriched multi-modal decision support to clinicians. A breast cancer knowledge model has been built to describe within a common ontology the data model and the termino-ontological knowledge used for representing breast cancer patient cases. It allows for rule-based and subsumption-based reasoning in the GL-DSS to provide best patient-centered reconciled care plans. It also allows for using semantic similarity in the retrieval algorithm implemented in the CB-DSS. Rainbow boxes are used to display patient cases similar to a given query patient. This innovative visualization technique translates the question of deciding the most appropriate treatment into a question of deciding the colour dominance among boxes.
Original languageEnglish
Title of host publicationDecision Support Systems and Education
Subtitle of host publicationHelp and Support in Healthcare
EditorsJohn Mantas, Zdenko Sonicki, Mihaela Crisan - Vida, Kristina Fister, Maria Hagglund, Aikaterini KoloKathi, Mira Hercigonja - Szekeres
Place of PublicationNetherlands
PublisherIOS Press
Pages190-194
Volume255
ISBN (Electronic)978-1-61499-921-8
ISBN (Print)978-1-61499-920-1
DOIs
Publication statusPublished - 30 Aug 2018
EventEuropean Federation for Medical Informatics (EFMI STC 2018), - Zagreb, Croatia
Duration: 15 Oct 201816 Oct 2018
https://www.efmi.org/159-stc-2018

Publication series

NameStudies in Health Technology and Informatics
PublisherIOS Press
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

ConferenceEuropean Federation for Medical Informatics (EFMI STC 2018),
Abbreviated titleEFMI STC 2018
CountryCroatia
CityZagreb
Period15/10/1816/10/18
Internet address

Fingerprint Dive into the research topics of 'Implementing Guideline-based, Experience-based, and Case-based approaches to enrich decision support for the management of breast cancer patients in the DESIREE project'. Together they form a unique fingerprint.

  • Cite this

    Seroussi, B., Lamy, J-B., Muro, N., Larburu, N., Sekar, B., Guézennec, G., & Bouaud, J. (2018). Implementing Guideline-based, Experience-based, and Case-based approaches to enrich decision support for the management of breast cancer patients in the DESIREE project. In J. Mantas, Z. Sonicki, M. Crisan - Vida, K. Fister, M. Hagglund, A. KoloKathi, & M. Hercigonja - Szekeres (Eds.), Decision Support Systems and Education: Help and Support in Healthcare (Vol. 255, pp. 190-194). (Studies in Health Technology and Informatics). IOS Press. https://doi.org/10.3233/978-1-61499-921-8-190