Case-based decision support system for breast cancer management

Boomadevi Sekar, Jean-Baptiste Lamy, Nekane Larburu, Brigitte Seroussi, Gilles Guézennec, Jacques Bouaud, Naiara Muro, H. Wang, J. Liu

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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
JournalInternational Journal of Computational Intelligence Systems
Publication statusAccepted/In press - 12 Aug 2018

Keywords

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

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    Sekar, B., Lamy, J-B., Larburu, N., Seroussi, B., Guézennec, G., Bouaud, J., Muro, N., Wang, H., & Liu, J. (Accepted/In press). Case-based decision support system for breast cancer management. International Journal of Computational Intelligence Systems.