The Parametric s-functions and the Perceptron in Gastric Cancer Surgery Decision Making

Document type: Conference Papers
Peer reviewed: Yes
Author(s): Elisabeth Rakus-Andersson
Title: The Parametric s-functions and the Perceptron in Gastric Cancer Surgery Decision Making
Conference name: World Congress in Computational Intelligence (WCCI)
Year: 2012
Pagination: 1852-1859
ISBN: 978-1-4673-1505-0
Publisher: IEEE
City: Brisbane, Australia
ISI number: 000309188200257
Other identifiers: ID:E-394
Organization: Blekinge Institute of Technology
Department: School of Engineering - Dept. Mathematics and Science (Sektionen för teknik – avd. för matematik och naturvetenskap)
School of Engineering S- 371 79 Karlskrona
+46 455 38 50 00
http://www.tek.bth.se/
Authors e-mail: Elisabeth.Andersson@bth.se
Language: English
Abstract: 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.
Subject: Computer Science\Artificial Intelligence
Mathematics\General
Medical Sciences
Keywords: Perceptron, Parametric s-function, Gastric cancer, Operation decision
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