Prenatal Risk Assessment of Trisomy 21 by Probabilistic Classifiers

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dc.authoridKAYA, Heysem/0000-0001-7947-5508;
dc.authorwosidKAYA, Heysem/V-4493-2019
dc.authorwosidGurgen, Fikret/AAD-6623-2020
dc.contributor.authorUzun, Omer
dc.contributor.authorKaya, Heysem
dc.contributor.authorGurgen, Fikret
dc.contributor.authorVarol, Fusun G.
dc.date.accessioned2024-06-12T11:07:57Z
dc.date.available2024-06-12T11:07:57Z
dc.date.issued2013
dc.departmentTrakya Üniversitesien_US
dc.description21st Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2013 -- CYPRUSen_US
dc.description.abstractThis study proposes a probabilistic approach to evaluate prenatal risk of Down syndrome. In this study, we address the decision-making problem in diagnosing Down syndrome from the machine learning perspective aiming to decrease invasive tests. We employ Naive Bayes and Bayesian Networks classification algorithms as probabilistic methods. This probabilistic classification approach is one of the leading work in medical domain. We use George Washington University dataset in our study. We also benchmark our probabilistic classifiers with widely used non-probabilistic classifiers in machine learning literature. Finally the results of the experiments show that probabilistic classifiers enable acceptable prediction of Trisomy 21 case and the classification performance can be improved by using the proposed techniques in this study.en_US
dc.identifier.isbn978-1-4673-5563-6
dc.identifier.isbn978-1-4673-5562-9
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-84880873192en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/20.500.14551/22251
dc.identifier.wosWOS:000325005300444en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartof2013 21st Signal Processing And Communications Applications Conference (Siu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMachine Learningen_US
dc.subjectProbabilisitc Classifiersen_US
dc.subjectNaive Bayesen_US
dc.subjectBayesian Networksen_US
dc.subjectDown Syndromeen_US
dc.subjectTrizomi21en_US
dc.subjectClassificationen_US
dc.titlePrenatal Risk Assessment of Trisomy 21 by Probabilistic Classifiersen_US
dc.typeConference Objecten_US

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