Case-based decision support system for breast cancer management

Booma Devi Sekar, Jean-Baptiste Lamy, Nekane Larburu, Brigitte Seroussi, Gilles Guézennec, Jacques Bouaud, Naiara Muro, Hui Wang, Jun Liu

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)
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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.
Original languageEnglish
Pages (from-to)28 - 38
JournalInternational Journal of Computational Intelligence Systems
Volume12
Issue number1
DOIs
Publication statusPublished - 01 Nov 2018
Externally publishedYes

Keywords

  • knowledge intensive case-based reasoning
  • case-based decision support system
  • breast cancer
  • Ontology
  • JColibri

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