Consensus clustering and fuzzy classification for breast cancer prognosis
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 pati...
Published in: | Proceedings - 24th European Conference on Modelling and Simulation, ECMS 2010 |
---|---|
Main Author: | Garibaldi J.M.; Soria D.; Rasmani K.A. |
Format: | Conference paper |
Language: | English |
Published: |
European Council for Modelling and Simulation
2010
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84857934629&doi=10.7148%2f2010-0015-0022&partnerID=40&md5=21c9e8e42fc925e5b4c9ac30f80a07e5 |
Similar Items
-
Designing the Hierarchical Fuzzy Systems Via FuzzyR Toolbox
by: Razak T.R.; Chen C.; Garibaldi J.M.; Wagner C.
Published: (2021) -
Geo-uninorm consistency control module for preference similarity network hierarchical clustering based consensus model
by: Kamis N.H.; Chiclana F.; Levesley J.
Published: (2018) -
Investigation of breast cancer molecular subtype in a multi-ethnic population using MRI
by: Mumin N.A.; Ramli Hamid M.T.; Ding Wong J.H.; Chiew S.-F.; Rahmat K.; Ng K.H.
Published: (2024) -
Knowledge and beliefs on breast cancer screening and uptake among Yemeni female school teachers in Malaysia
by: Noman S.; Elarusy N.M.E.; Rahman H.A.; Ismail S.; Azzani M.; Khamis K.M.; Aljaberi M.A.
Published: (2024) -
Knowledge and beliefs on breast cancer screening and uptake among Yemeni female school teachers in Malaysia
by: Noman, et al.
Published: (2024)