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

doi:10.3233/978-1-61499-921-8-190

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 proceeding › Conference contribution › peer-review

11 Citations (Scopus)

79 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 language	English
Title of host publication	Decision Support Systems and Education
Subtitle of host publication	Help and Support in Healthcare
Editors	John Mantas, Zdenko Sonicki, Mihaela Crisan - Vida, Kristina Fister, Maria Hagglund, Aikaterini KoloKathi, Mira Hercigonja - Szekeres
Place of Publication	Netherlands
Publisher	IOS Press
Pages	190-194
Volume	255
ISBN (Electronic)	978-1-61499-921-8
ISBN (Print)	978-1-61499-920-1
DOIs	https://doi.org/10.3233/978-1-61499-921-8-190
Publication status	Published (in print/issue) - 30 Aug 2018
Event	European Federation for Medical Informatics (EFMI STC 2018), - Zagreb, Croatia Duration: 15 Oct 2018 → 16 Oct 2018 https://www.efmi.org/159-stc-2018

Publication series

Name	Studies in Health Technology and Informatics
Publisher	IOS Press
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	European Federation for Medical Informatics (EFMI STC 2018),
Abbreviated title	EFMI STC 2018
Country/Territory	Croatia
City	Zagreb
Period	15/10/18 → 16/10/18
Internet address	https://www.efmi.org/159-stc-2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.3233/978-1-61499-921-8-190

SHTI255-0190 (2)Final published version, 503 KBLicence: CC BY-NC

http://ebooks.iospress.nl/publication/50500

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

Seroussi, Brigitte ; Lamy, Jean-Baptiste ; Muro, Naiara et al. / Implementing Guideline-based, Experience-based, and Case-based approaches to enrich decision support for the management of breast cancer patients in the DESIREE project. Decision Support Systems and Education: Help and Support in Healthcare. editor / John Mantas ; Zdenko Sonicki ; Mihaela Crisan - Vida ; Kristina Fister ; Maria Hagglund ; Aikaterini KoloKathi ; Mira Hercigonja - Szekeres. Vol. 255 Netherlands : IOS Press, 2018. pp. 190-194 (Studies in Health Technology and Informatics).

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

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.",

author = "Brigitte Seroussi and Jean-Baptiste Lamy and Naiara Muro and Nekane Larburu and Boomadevi Sekar and Gilles Gu{\'e}zennec and Jacques Bouaud",

year = "2018",

month = aug,

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doi = "10.3233/978-1-61499-921-8-190",

language = "English",

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booktitle = "Decision Support Systems and Education",

address = "Netherlands",

note = "European Federation for Medical Informatics (EFMI STC 2018),, EFMI STC 2018 ; Conference date: 15-10-2018 Through 16-10-2018",

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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, Studies in Health Technology and Informatics, IOS Press, Netherlands, pp. 190-194, European Federation for Medical Informatics (EFMI STC 2018), Zagreb, Croatia, 15/10/18. https://doi.org/10.3233/978-1-61499-921-8-190

Implementing Guideline-based, Experience-based, and Case-based approaches to enrich decision support for the management of breast cancer patients in the DESIREE project. / Seroussi, Brigitte; Lamy, Jean-Baptiste; Muro, Naiara et al.
Decision Support Systems and Education: Help and Support in Healthcare. ed. / John Mantas; Zdenko Sonicki; Mihaela Crisan - Vida; Kristina Fister; Maria Hagglund; Aikaterini KoloKathi; Mira Hercigonja - Szekeres. Vol. 255 Netherlands: IOS Press, 2018. p. 190-194 (Studies in Health Technology and Informatics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Implementing Guideline-based, Experience-based, and Case-based approaches to enrich decision support for the management of breast cancer patients in the DESIREE project

AU - Seroussi, Brigitte

AU - Lamy, Jean-Baptiste

AU - Muro, Naiara

AU - Larburu, Nekane

AU - Sekar, Boomadevi

AU - Guézennec, Gilles

AU - Bouaud, Jacques

PY - 2018/8/30

Y1 - 2018/8/30

N2 - 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.

AB - 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.

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VL - 255

T3 - Studies in Health Technology and Informatics

SP - 190

EP - 194

BT - Decision Support Systems and Education

A2 - Mantas, John

A2 - Sonicki, Zdenko

A2 - Crisan - Vida, Mihaela

A2 - Fister, Kristina

A2 - Hagglund, Maria

A2 - KoloKathi, Aikaterini

A2 - Hercigonja - Szekeres, Mira

PB - IOS Press

CY - Netherlands

T2 - European Federation for Medical Informatics (EFMI STC 2018),

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ER -

Seroussi B, Lamy JB, Muro N, Larburu N, Sekar B, Guézennec G et al. 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 Mantas J, Sonicki Z, Crisan - Vida M, Fister K, Hagglund M, KoloKathi A, Hercigonja - Szekeres M, editors, Decision Support Systems and Education: Help and Support in Healthcare. Vol. 255. Netherlands: IOS Press. 2018. p. 190-194. (Studies in Health Technology and Informatics). doi: 10.3233/978-1-61499-921-8-190

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

Abstract

Publication series

Conference

UN SDGs

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