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Fuzzy C-Means Cluster Analysis and Approximated Data Strings in Operation Prognosis for Gastric Cancer Patients
Blekinge Institute of Technology, School of Engineering, Department of Mathematics and Natural Sciences.
Blekinge Institute of Technology, School of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0002-9920-7946
2013 (English)In: New Trends in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics / [ed] Atanassov, Krassimir T.; Homenda, Wladyslaw; Hryniewicz, Olgierd; Kacprzyk, Janusz; Krawczak, Maciej; Nahorski, Zbigniew; Szmidt, Eulalia; Zadrozny, Slawomir, Warsaw: System Research Instituite, Polish Academy of Sciences , 2013, 181-200 p.Chapter in book (Refereed)
Abstract [en]

The chapter is composed of two parts. In the first part we aim at employing fuzzy c-means (FCM) clustering to prognosticate membership degrees pointing out possibilities for operation and none operation for a set of 25 gastric cancer patients characterized by values of decisive biological markers. The second part handles the technique of mathematical modelling of a common membership function approximating the information collected from the given set of patients. When constructing the equation of the function we are able to determine the operation and none operation diagnosis for an arbitrary gastric cancer patient.

Place, publisher, year, edition, pages
Warsaw: System Research Instituite, Polish Academy of Sciences , 2013. 181-200 p.
Keyword [en]
Fuzzy c-means clustering, Operation degrees for gastric cancer patients, Approximation of point sets by π-functions
National Category
Mathematics Medical and Health Sciences
Identifiers
URN: urn:nbn:se:bth-6906Local ID: oai:bth.se:forskinfoE50DFFD6011DC61DC1257BCD00513AFCISBN: 13 9788389475473 (print)OAI: oai:DiVA.org:bth-6906DiVA: diva2:834460
Available from: 2013-08-30 Created: 2013-08-20 Last updated: 2016-09-20Bibliographically approved

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