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.authorid0000-0001-7596-5892
dc.authorid0000-0001-9990-6045
dc.authorscopusid57193070823
dc.authorscopusid6602339880
dc.authorscopusid55429723100
dc.authorscopusid13005120600
dc.authorscopusid55682194900
dc.authorwosidAsirdizer, Mahmut/AAA-2897-2020
dc.authorwosidHEKIMOGLU, YAVUZ/A-8409-2017
dc.contributor.authorEtli, Yasin
dc.contributor.authorAsirdizer, Mahmut
dc.contributor.authorHekimoğlu, Yavuz
dc.contributor.authorKeskin, Siddik
dc.contributor.authorYavuz, Alpaslan
dc.date.accessioned2022-05-11T14:37:05Z
dc.date.available2022-05-11T14:37:05Z
dc.date.issued2019
dc.departmentFakülteler, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü, Adli Tıp Ana Bilim Dalı
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.
dc.identifier.doi10.1016/j.forsciint.2019.109955
dc.identifier.issn0379-0738
dc.identifier.issn1872-6283
dc.identifier.pmid31541936
dc.identifier.scopus2-s2.0-85072241658
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.forsciint.2019.109955
dc.identifier.urihttps://hdl.handle.net/20.500.11776/8567
dc.identifier.volume303
dc.identifier.wosWOS:000496967700024
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorHekimoğlu, Yavuz
dc.language.isoen
dc.publisherElsevier Ireland Ltd
dc.relation.ispartofForensic Science International
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectSacrum
dc.subjectCoccyx
dc.subjectSex estimation
dc.subjectDiscriminant function analysis
dc.subjectNeural
dc.subjectNetworks
dc.titleSex estimation from sacrum and coccyx with discriminant analyses and neural networks in an equally distributed population by age and sex
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
8567.pdf
Boyut:
1.71 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
İndir

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
PubMed İndeksli Yayın Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
Tıp Fakültesi Koleksiyonu