Medical application of information gain-based artificial immune recognition system (IG-AIRS): Classification of microorganism species

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dc.contributor.authorKara, Sadik
dc.contributor.authorAksebzeci, Bekir Hakan
dc.contributor.authorKodaz, Halife
dc.contributor.authorGunes, Salih
dc.contributor.authorKaya, Esma
dc.contributor.authorOzbilge, Hatice
dc.date.accessioned2020-03-26T17:39:13Z
dc.date.available2020-03-26T17:39:13Z
dc.date.issued2009
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn this paper, we have made medical application of a new artificial immune system named the information gain-based artificial immune recognition system (IG-AIRS) which is minimized the negative effects of taking into account all attributes in calculating Euclidean distance in shape-space representation which is used in many artificial immune systems. For medical data, microorganism dataset was applied in the performance analysis of our proposed system. Microorganism dataset was obtained using Cyranose 320 electronic nose. Our proposed system reached 92.35% classification accuracy with five-fold cross validation method. This result ensured that IG-AIRS would be helpful in classification of microorganism species based on laboratory tests, and would open the way to various microorganism species determine support by using electronic nose. (C) 2008 Elsevier Ltd. All rights reserved.en_US
dc.description.sponsorshipErdyes UniversityErciyes University [FBT-07-14]en_US
dc.description.sponsorshipThis study has been supported by the Scientific Research Projects of Erdyes University. Project No.: FBT-07-14.en_US
dc.identifier.doi10.1016/j.eswa.2008.06.029en_US
dc.identifier.endpage5172en_US
dc.identifier.issn0957-4174en_US
dc.identifier.issue3en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage5168en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.eswa.2008.06.029
dc.identifier.urihttps://hdl.handle.net/20.500.12395/23672
dc.identifier.volume36en_US
dc.identifier.wosWOS:000263584100122en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPERGAMON-ELSEVIER SCIENCE LTDen_US
dc.relation.ispartofEXPERT SYSTEMS WITH APPLICATIONSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectArtificial immune systemsen_US
dc.subjectArtificial immune recognition systemen_US
dc.subjectInformation gainen_US
dc.subjectMicroorganism classificationen_US
dc.subjectElectronic noseen_US
dc.titleMedical application of information gain-based artificial immune recognition system (IG-AIRS): Classification of microorganism speciesen_US
dc.typeArticleen_US

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