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Applied Fuzzy C-means Clustering to Operation Evaluation for Gastric Cancer Patients
Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, Avdelningen för matematik och naturvetenskap.
Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, Avdelningen för matematik och naturvetenskap.ORCID-id: 0000-0002-9920-7946
2013 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert) Published
Abstract [en]

Like data analysis, pattern recognition and data mining, fuzzy clustering also has been applied widely, and successful applications have been reported. In this paper we aim to employ the technique of fuzzy c-means (FCM) cluster to prognosticate the operation possibility on gastric cancer patients. Our purpose is to partition some clinical data in two fuzzy clusters. One of them considers patients who have a chance for successful surgery whereas the other cluster contains the patients without a view for surgery. Each patient is given by characteristic biological markers. The initial values of membership degrees taking place in the partition matrix are usually determined randomly. In this work we will use particularly designed membership functions to calculate the degrees of membership.

sted, utgiver, år, opplag, sider
Nice, France: IARIA , 2013.
Emneord [en]
Fuzzy C-means clustering analysis, Fuzzy partition, Operation decision
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-7007Lokal ID: oai:bth.se:forskinfo71884F5A9AEDD407C1257B2B00614E0AISBN: 978-1-61208-252-3 (tryckt)OAI: oai:DiVA.org:bth-7007DiVA, id: diva2:834578
Konferanse
The Fifth International Conference on eHealth, Telemedicine, and Social Medicine - eTELEMED 2013
Tilgjengelig fra: 2013-03-12 Laget: 2013-03-11 Sist oppdatert: 2016-09-20bibliografisk kontrollert

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Zettervall, HangRakus-Andersson, Elisabeth

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Totalt: 58 treff
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