A Soft Computing Based Approach Using Modified Selection Strategy for Feature Reduction of Medical Systems

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dc.contributor.authorZühtüoğulları, Kürşat
dc.contributor.authorAllahverdi, Novruz
dc.contributor.authorArıkan, Nihat
dc.date.accessioned2020-03-26T18:41:03Z
dc.date.available2020-03-26T18:41:03Z
dc.date.issued2013
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThe systems consisting high input spaces require high processing times and memory usage. Most of the attribute selection algorithms have the problems of input dimensions limits and information storage problems. These problems are eliminated by means of developed feature reduction software using new modified selection mechanism with middle region solution candidates adding. The hybrid system software is constructed for reducing the input attributes of the systems with large number of input variables. The designed software also supports the roulette wheel selection mechanism. Linear order crossover is used as the recombination operator. In the genetic algorithm based soft computing methods, locking to the local solutions is also a problem which is eliminated by using developed software. Faster and effective results are obtained in the test procedures. Twelve input variables of the urological system have been reduced to the reducts (reduced input attributes) with seven, six, and five elements. It can be seen from the obtained results that the developed software with modified selection has the advantages in the fields of memory allocation, execution time, classification accuracy, sensitivity, and specificity values when compared with the other reduction algorithms by using the urological test data.en_US
dc.description.sponsorshipScientific Research Projects Unit of Selcuk UniversitySelcuk Universityen_US
dc.description.sponsorshipThis project is supported by the Scientific Research Projects Unit of Selcuk University.en_US
dc.identifier.doi10.1155/2013/587564en_US
dc.identifier.issn1748-670Xen_US
dc.identifier.issn1748-6718en_US
dc.identifier.pmid23573172en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://dx.doi.org/10.1155/2013/587564
dc.identifier.urihttps://hdl.handle.net/20.500.12395/29190
dc.identifier.wosWOS:000316904600001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherHINDAWI LTDen_US
dc.relation.ispartofCOMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINEen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.titleA Soft Computing Based Approach Using Modified Selection Strategy for Feature Reduction of Medical Systemsen_US
dc.typeArticleen_US

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