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

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 language	English
Journal	International Journal of Computational Intelligence Systems
Publication status	Accepted/In press - 12 Aug 2018

Keywords

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

UN SDGs

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

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Accepted author manuscriptAuthor Accepted Manuscript, 1.35 MB

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title = "Case-based decision support system for breast cancer management",

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.",

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language = "English",

journal = "International Journal of Computational Intelligence Systems",

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T1 - Case-based decision support system for breast cancer management

AU - Sekar, Boomadevi

AU - Lamy, Jean-Baptiste

AU - Larburu, Nekane

AU - Seroussi, Brigitte

AU - Guézennec, Gilles

AU - Bouaud, Jacques

AU - Muro, Naiara

AU - Wang, H.

AU - Liu, J.

PY - 2018/8/12

Y1 - 2018/8/12

N2 - 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.

AB - 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.

KW - knowledge intensive case-based reasoning

KW - case-based decision support system

KW - breast cancer

KW - Ontology

KW - JColibri

M3 - Article

SN - 1875-6883

JO - International Journal of Computational Intelligence Systems

JF - International Journal of Computational Intelligence Systems

ER -

Case-based decision support system for breast cancer management

Abstract

Keywords

UN SDGs

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