Intrauterine growth restriction (IUGR) risk decision based on support vector machines

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dc.authorwosidGurgen, Fikret/AAD-6623-2020
dc.contributor.authorGurgen, Fikret
dc.contributor.authorZengin, Zeynep
dc.contributor.authorVarol, Fusun
dc.date.accessioned2024-06-12T11:03:59Z
dc.date.available2024-06-12T11:03:59Z
dc.date.issued2012
dc.departmentTrakya Üniversitesien_US
dc.description.abstractThis paper studies the risk of intrauterine compromise in the fetuses with intrauterine growth restriction (IUGR) using support vector machines (SVM). A structured and globally optimized SVM system may be preferable procedure in the identification of IUGR fetus at risk. The IUGR risk is estimated in two stages: In the first stage, noninvasive Doppler pulsatility index (PI) and resistance index (RI) of umbilical artery (UA), middle cerebral artery (MCA) and ductus venosus (DV), and amniotic fluid index (AFI) are retrospectively analyzed and the Doppler indices are applied to the SVM system to make a diagnosis decision on the fetal well being as reactive or nonreactive and/or fetal distress (FD) on the nonstress test (NST) (training data). In the second stage (testing data), the decision is validated by the NST (target value). Experiments are performed in retrospective clinical situation. Forty-four preterm with IUGR and without IUGR pregnancies before 34 weeks gestation are considered. Also, the nonparametric Bayes-risk decision rule, k-nearest neighbor (k-NN), is used for comparison. It is observed that the SVM system is proven to be useful in predicting the expected risk in IUGR cases in the small population study. Also, the PI and RI values of UA, MCA and DV are effective in distinguishing IUGR cases at risk. (C) 2011 Elsevier Ltd. All rights reserved.en_US
dc.description.sponsorshipBogazici University [BAP 09A101]en_US
dc.description.sponsorshipThe work presented in this paper has been supported by Bogazici University Research Fund (BAP 09A101 project).en_US
dc.identifier.doi10.1016/j.eswa.2011.08.147
dc.identifier.endpage2876en_US
dc.identifier.issn0957-4174
dc.identifier.issn1873-6793
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-80255141887en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage2872en_US
dc.identifier.trdizinid99203en_US
dc.identifier.urihttps://doi.org/10.1016/j.eswa.2011.08.147
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/99203
dc.identifier.urihttps://hdl.handle.net/20.500.14551/21867
dc.identifier.volume39en_US
dc.identifier.wosWOS:000297823300068en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakTR-Dizinen_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.subjectIntrauterine Growth Restrictionen_US
dc.subjectDoppler Indicesen_US
dc.subjectAmniotic Fluid Indexen_US
dc.subjectNonstress Testen_US
dc.subjectSupport Vector Machinesen_US
dc.subjectK-NNen_US
dc.subjectClassificationen_US
dc.titleIntrauterine growth restriction (IUGR) risk decision based on support vector machinesen_US
dc.typeArticleen_US

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