International Journal of Computational Intelligence Systems

<Previous Article In Issue
Next Article In Issue>
Volume 12, Issue 1, November 2018, Pages 28 - 38

Case-Based Decision Support System for Breast Cancer Management

Authors
Booma Devi Sekar1, b.sekar@ulster.ac.uk, Jean-Baptiste Lamy2, jean-baptiste.lamy@univ-paris13.fr, Nekane Larburu3, 4, nlarburu@vicomtech.org, Brigitte Séroussi2, 5, brigitte.seroussi@aphp.fr, Gilles Guézennec2, gilles.guezennec@univ-paris13.fr, Jacques Bouaud2, 6, jacques.bouaud@aphp.fr, Naiara Muro2, 3, 4, nmuro@vicomtech.org, Hui Wang1, h.wang@ulster.ac.uk, Jun Liu1, j.liu@ulster.ac.uk
1School of Computing, Ulster University, Northern Ireland, UK
2Sorbonne Universités, UPMC, Univ Paris 06, INSERM, Université Paris 13, Sorbonne Paris Cité, UMR S 1142, LIMICS Paris, France
3eHealth and Biomedical Applications, Vicomtech-IK4, Donostia-San Sebastian, Spain
4Biodonostia, Donostia-San Sebastián, Spain
5AP-HP, Hôpital Tenon, Départemente de Santé Publique, Paris, France
6AP-HP, DRCI, Paris, France
Received 21 October 2017, Accepted 12 August 2018, Available Online 1 November 2018.
DOI
10.2991/ijcis.2018.25905180How to use a DOI?
Keywords
knowledge intensive case-based reasoning; breast cancer; ontology; case-based decision support system; jColibri
Abstract

Breast cancer is identified as the most common type of cancer in women worldwide with 1.6 million women around the world diagnosed every year. This prompts many active areas of research in identifying better ways to prevent, detect, and treat breast cancer. DESIREE is a European Union funded project, which aims at developing a web-based software ecosystem for the multidisciplinary management of primary breast cancer. The development of an intelligent clinical decision support system offering various modalities of decision support is one of the key objectives of the project. This paper explores case-based reasoning as a problem solving paradigm and discusses the use of an explicit domain knowledge ontology in the development of a knowledge-intensive case-based decision support system for breast cancer management.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Download article (PDF)
View full text (HTML)

<Previous Article In Issue
Next Article In Issue>
Journal
International Journal of Computational Intelligence Systems
Volume-Issue
12 - 1
Pages
28 - 38
Publication Date
2018/11/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.2018.25905180How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Booma Devi Sekar
AU  - Jean-Baptiste Lamy
AU  - Nekane Larburu
AU  - Brigitte Séroussi
AU  - Gilles Guézennec
AU  - Jacques Bouaud
AU  - Naiara Muro
AU  - Hui Wang
AU  - Jun Liu
PY  - 2018
DA  - 2018/11/01
TI  - Case-Based Decision Support System for Breast Cancer Management
JO  - International Journal of Computational Intelligence Systems
SP  - 28
EP  - 38
VL  - 12
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2018.25905180
DO  - 10.2991/ijcis.2018.25905180
ID  - Sekar2018
ER  -