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Consensus clustering and fuzzy classification for breast cancer prognosis

Garibaldi, Jonathan M., Soria, Daniele, Rasmani, Khairul A. (2010) Consensus clustering and fuzzy classification for breast cancer prognosis. In: ECMS 2010 Proceedings. . pp. 15-22. European Council for Modelling and Simulation ISBN 978-0-9564944-1-2. (doi:10.7148/2010-0015-0022) (KAR id:98904)


Extracting usable and useful knowledge from large and complex data sets is a difficult and challenging problem. In this paper, we show how two complementary techniques have been used to tackle this problem in the context of breast cancer. Diagnosis concerns the identification of cancer within a patient; in contrast, prognosis concerns the prediction of the ongoing course of the disease, including issues such as the choice of potential treatments such as chemotherapy or drug therapy, in combination with estimation of chances (or length) of survival. Reliable prognosis depends on many factors, including the identification of the type of this heterogeneous disease. We first use a consensus clustering methodology to identify core, well-characterised sub-groups (or classes) of the disease based on a large database of protein biomarkers from over a thousand patients. We then use fuzzy rule induction and simplification algorithms to generate a simple, comprehensible set of rules for use in future model-based classification. The methods are described and their use is illustrated on real-world data. © ECMS.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.7148/2010-0015-0022
Additional information: cited By 0
Uncontrolled keywords: Clustering, Validity Indices, Consensus Clustering, Fuzzy Classification, Breast Cancer, Prognosis
Subjects: Q Science > QA Mathematics (inc Computing science)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Daniel Soria
Date Deposited: 08 Dec 2022 15:30 UTC
Last Modified: 12 Dec 2022 13:53 UTC
Resource URI: (The current URI for this page, for reference purposes)

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