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Hybridization of Immunological Computation and Fuzzy Systems in Surgery Decision Making
Responsible organisation
2011 (English)Conference paper, (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Kaiserslauntern, Germany: Springer , 2011.
Keyword [en]
immunological computation, self/non-self discrimination, parametric s-functions, fuzzification of biological markers, NS algorithms, surgery type decisions.
National Category
Mathematics Computer Science Medical and Health Sciences
Identifiers
URN: urn:nbn:se:bth-7454Local ID: oai:bth.se:forskinfo0F0191AA2FC1E7CAC12579110043B2B8ISBN: 0302-9743 (print)OAI: oai:DiVA.org:bth-7454DiVA: diva2:835073
Conference
15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems - KES 2011
Note
Lecture Notes in Computer ScienceAvailable from: 2012-09-18 Created: 2011-09-20 Last updated: 2016-09-20Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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