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The Parametric s-functions and the Perceptron in Gastric Cancer Surgery Decision Making
Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, Avdelningen för matematik och naturvetenskap.ORCID-id: 0000-0002-9920-7946
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2012 (engelsk)Inngår i: World Congress in Computational Intelligence (WCCI), Brisbane, Australia: IEEE , 2012Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

In the current paper we mathematically try to support the medical operation decision made for the sake of patients suffering from gastric cancer. We involve the linear model of the simple neural perceptron to distinguish between two decision states determined as “operate” contra “do not operate”. The perceptron input signals are proposed to be given as codes of levels of the most decisive biological markers, considered in surgery decision making. To find the level intervals, tied to the codes, we introduce a procedure of level fuzzification by a family of parametric membership functions.

sted, utgiver, år, opplag, sider
Brisbane, Australia: IEEE , 2012.
Emneord [en]
Perceptron, Parametric s-function, Gastric cancer, Operation decision
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-7172ISI: 000309188200257Lokal ID: oai:bth.se:forskinfo39879EBF8DBBE335C1257A27002702F1ISBN: 978-1-4673-1505-0 (tryckt)OAI: oai:DiVA.org:bth-7172DiVA, id: diva2:834754
Konferanse
World Congress in Computational Intelligence (WCCI)
Tilgjengelig fra: 2012-11-27 Laget: 2012-06-24 Sist oppdatert: 2018-01-11bibliografisk kontrollert

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