Prediction of aortic diameter values in healthy Turkish infants, children and adolescents via Adaptive Network Based Fuzzy Inference System

dc.contributor.authorAkdemir, Bayram
dc.contributor.authorGunes, Salih
dc.contributor.authorOran, Buelent
dc.date.accessioned2020-03-26T17:27:29Z
dc.date.available2020-03-26T17:27:29Z
dc.date.issued2008
dc.departmentSelçuk Üniversitesien_US
dc.description4th International Conference on Intelligent Computing -- SEP 15-18, 2008 -- Shanghai, PEOPLES R CHINAen_US
dc.description.abstractThe aorta diameter size one of the cardiac value is very important to guess for child before adult age, due to growing up body. In conventional method, the experts use curve charts to decide whether their measured aortic diameter size is normal or not. Our proposed method presents a valid virtual aortic diameter result related to age, weight and sex. The proposed method comprises of two stages: (i) data normalization using a normalization method called Line Base Normalization Method (LBNM) that is firstly proposed by us, (ii) normalized aortic diameter prediction using Adaptive Network Based Fuzzy Inference Systems (ANFIS). Data set includes real Turkish infants, children and adolescents values and divided into two groups as 50% training -50% testing split of whole dataset to show performance of ANFIS. LBNM compared to three normalization methods including Min-Max normalization, Z-score, and decimal scaling methods. The results were compared to real aortic diameters values by expert with nine year experiences in medical area.en_US
dc.description.sponsorshipScientific Research Project of Selcuk UniversitySelcuk Universityen_US
dc.description.sponsorshipThis study has been supported by Scientific Research Project of Selcuk University.en_US
dc.identifier.endpage+en_US
dc.identifier.isbn978-3-540-87440-9
dc.identifier.issn0302-9743en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage498en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/22575
dc.identifier.volume5226en_US
dc.identifier.wosWOS:000259555200062en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSPRINGER-VERLAG BERLINen_US
dc.relation.ispartofADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS: WITH ASPECTS OF THEORETICAL AND METHODOLOGICAL ISSUESen_US
dc.relation.ispartofseriesLecture Notes in Computer Science
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.titlePrediction of aortic diameter values in healthy Turkish infants, children and adolescents via Adaptive Network Based Fuzzy Inference Systemen_US
dc.typeConference Objecten_US

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