Sex estimation from sacrum and coccyx with discriminant analyses and neural networks in an equally distributed population by age and sex

Basit Öğe Kaydı
dc.contributor.authorEtli, Yasin
dc.contributor.authorAsirdizer, Mahmut
dc.contributor.authorHekimoglu, Yavuz
dc.contributor.authorKeskin, Siddik
dc.contributor.authorYavuz, Alpaslan
dc.date.accessioned2020-03-26T20:19:17Z
dc.date.available2020-03-26T20:19:17Z
dc.date.issued2019
dc.departmentSelçuk Üniversitesi, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümüen_US
dc.description.abstractSex estimation is an essential step in the process of the identification of the skeletal remains in forensic anthropology since it reduces the number of possible matches by half. In this study, sex estimation with 21 sacral and coccygeal metric parameters obtained from Computerized Tomography images of a Turkish population which consists of 480 patients that are equalized according to their sexes and ages, is performed. Univariate discriminant analysis, linear discriminant function analysis, stepwise discriminant function analysis, and multilayer perceptron neural networks are used in this study. A maximum of 67.1% accuracy for univariate discriminant analysis, 82.5% for linear discriminant function analysis, 78.8% for stepwise discriminant function analysis, and 86.3% for multilayer perceptron neural networks, were achieved. Although it does not reach an acceptable accuracy rate of 95% or more for sacrum and coccyx, sex estimation with neural networks is a promising field of research in corpses where identification is otherwise not possible, and further studies with other bones and with new techniques might give useful information. (C) 2019 Elsevier B.V. All rights reserved.en_US
dc.identifier.citationEtli, Y., Asirdizer, M., Hekimoglu, Y., Keskin, S., Yavuz, A. (2019). Sex Estimation From Sacrum And Coccyx With Discriminant Analyses And Neural Networks İn An Equally Distributed Population By Age And Sex. Forensıc Scıence Internatıonal, 303, 1-9.
dc.identifier.doi10.1016/j.forsciint.2019.109955en_US
dc.identifier.issn0379-0738en_US
dc.identifier.issn1872-6283en_US
dc.identifier.pmid31541936en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.forsciint.2019.109955
dc.identifier.urihttps://hdl.handle.net/20.500.12395/38196
dc.identifier.volume303en_US
dc.identifier.wosWOS:000496967700024en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.institutionauthorEtli, Yasin
dc.language.isoenen_US
dc.publisherELSEVIER IRELAND LTDen_US
dc.relation.ispartofFORENSIC SCIENCE INTERNATIONALen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectSacrumen_US
dc.subjectCoccyxen_US
dc.subjectSex estimationen_US
dc.subjectDiscriminant function analysisen_US
dc.subjectNeuralen_US
dc.subjectNetworksen_US
dc.titleSex estimation from sacrum and coccyx with discriminant analyses and neural networks in an equally distributed population by age and sexen_US
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim
İsim:
Yasin Etli.pdf
Boyut:
1.66 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Full Text Access
İndir

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
PubMed İndeksli Yayın Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu