INTRAUTERINE GROWTH RESTRICTION (IUGR) RISK DECISION BASED ON SUPPORT VECTOR MACHINES

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dc.authorwosidGurgen, Fikret/AAD-6623-2020
dc.contributor.authorZengin, Zeynep
dc.contributor.authorGurgen, Fikret
dc.contributor.authorVarol, Fuesun
dc.date.accessioned2024-06-12T11:03:59Z
dc.date.available2024-06-12T11:03:59Z
dc.date.issued2010
dc.departmentTrakya Üniversitesien_US
dc.description.abstractThis paper studies the risk of 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 wellbeing as reactive or nonreactive and/or acute fetal distress (AFD) 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 on previously collected data. Fortyfour preterm with IUGR and without IUGR pregnancies before 34 weeks gestation are considered. 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 this small population study. The PI and RI values of UA, MCA and DV are also effective in distinguishing IUGR at risk.en_US
dc.description.sponsorshipBogazici University [BAP 09A102P]en_US
dc.description.sponsorshipThe work presented in this paper has been supported by Bogazici University Research Fund (BAP 09A102P project).en_US
dc.identifier.doi10.3390/mca15030472
dc.identifier.endpage480en_US
dc.identifier.issn1300-686X
dc.identifier.issn2297-8747
dc.identifier.issue3en_US
dc.identifier.startpage472en_US
dc.identifier.urihttps://doi.org/10.3390/mca15030472
dc.identifier.urihttps://hdl.handle.net/20.500.14551/21866
dc.identifier.volume15en_US
dc.identifier.wosWOS:000276584300017en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherMdpien_US
dc.relation.ispartofMathematical And Computational Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectIntrauterine Growth Restriction (IUGR)en_US
dc.subjectDoppler Indices PI And RIen_US
dc.subjectSupport Vector Machines (SVM)en_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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