Hybridization of Immunological Computation and Fuzzy Systems in Surgery Decision Making

Responsible organisation

2011 (English)Conference paper, Published paper (Refereed)

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.

Keywords [en]

immunological computation, self/non-self discrimination, parametric s-functions, fuzzification of biological markers, NS algorithms, surgery type decisions.

National Category

Mathematics Computer Sciences Medical and Health Sciences

Identifiers

URN: urn:nbn:se:bth-7454Local ID: oai:bth.se:forskinfo0F0191AA2FC1E7CAC12579110043B2B8OAI: oai:DiVA.org:bth-7454DiVA, id: diva2:835073

Conference

15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems - KES 2011

Note

Lecture Notes in Computer Science

Available from: 2012-09-18 Created: 2011-09-20 Last updated: 2020-10-07Bibliographically approved

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Rakus-Andersson, Elisabeth

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MathematicsComputer SciencesMedical and Health Sciences

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