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The Parametric s-functions and the Perceptron in Gastric Cancer Surgery Decision Making
Blekinge Institute of Technology, School of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0002-9920-7946
Responsible organisation
2012 (English)In: World Congress in Computational Intelligence (WCCI), Brisbane, Australia: IEEE , 2012Conference paper, Published paper (Refereed)
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.

Place, publisher, year, edition, pages
Brisbane, Australia: IEEE , 2012.
Keyword [en]
Perceptron, Parametric s-function, Gastric cancer, Operation decision
National Category
Mathematics Computer Science Medical and Health Sciences
Identifiers
URN: urn:nbn:se:bth-7172ISI: 000309188200257Local ID: oai:bth.se:forskinfo39879EBF8DBBE335C1257A27002702F1ISBN: 978-1-4673-1505-0 (print)OAI: oai:DiVA.org:bth-7172DiVA: diva2:834754
Conference
World Congress in Computational Intelligence (WCCI)
Available from: 2012-11-27 Created: 2012-06-24 Last updated: 2016-09-20Bibliographically approved

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