Hybridization of Immunological Computation and Fuzzy Systems in Surgery Decision Making

Document type: Conference Papers
Peer reviewed: Yes
Author(s): Elisabeth Rakus-Andersson
Title: Hybridization of Immunological Computation and Fuzzy Systems in Surgery Decision Making
Conference name: 15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems - KES 2011
Year: 2011
Pagination: 399-408
ISBN: 0302-9743
Publisher: Springer
City: Kaiserslauntern, Germany
Other identifiers: LNAI 6884
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: From the domain of Computational Intelligence we have selected immunological computation and fuzzy systems to combine them in a new hybrid model. This novel numerical method has been tested on patient data strings to make decisions about the choices of surgery types. The model input clinical data concerns patients who suffer from gastric cancer.
Subject: Computer Science\Artificial Intelligence
Mathematics\General
Medical Sciences
Keywords: immunological computation, self/non-self discrimination, parametric s-functions, fuzzification of biological markers, NS algorithms, surgery type decisions.
Note: Lecture Notes in Computer Science
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