A new medical decision making system: Least square support vector machine (LSSVM) with Fuzzy Weighting Pre-processing

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dc.contributor.authorComak, Emre
dc.contributor.authorPolat, Kemal
dc.contributor.authorGuenes, Salih
dc.contributor.authorArslan, Ahmet
dc.date.accessioned2020-03-26T17:16:56Z
dc.date.available2020-03-26T17:16:56Z
dc.date.issued2007
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThe use of machine learning tools in medical diagnosis is increasing gradually. This is mainly because the effectiveness of classification and recognition systems has improved in a great deal to help medical experts in diagnosing diseases. This study aims at diagnosing Liver Disorder with a new hybrid machine learning method. By hybridizing LSSVM with Fuzzy Weighting Pre-processing, a method was obtained to solve this diagnosis problem via classifying Liver Disorder. Fuzzy Weighting Pre-processing stage was developed firstly in our study. This Liver Disorder dataset is a very commonly used dataset in literature relating the use of classification systems for Liver Disorder Diagnosis and it was used in this study to compare the classification performance of our proposed method with regard other studies. We obtained a classification accuracy of 94.29%, which is the highest one reached so far. This result is for Liver Disorder but it states that this method can be used confidently for other medical diseases diagnosis problems, too. (C) 2005 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.eswa.2005.12.001en_US
dc.identifier.endpage414en_US
dc.identifier.issn0957-4174en_US
dc.identifier.issn1873-6793en_US
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage409en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.eswa.2005.12.001
dc.identifier.urihttps://hdl.handle.net/20.500.12395/21180
dc.identifier.volume32en_US
dc.identifier.wosWOS:000242979100015en_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.titleA new medical decision making system: Least square support vector machine (LSSVM) with Fuzzy Weighting Pre-processingen_US
dc.typeArticleen_US

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