Estimating body weight from foot measurements in the Eastern Turkish Population using linear methods and artificial neural networks

Basit Öğe Kaydı
dc.contributor.authorTuran, Ömer
dc.contributor.authorParlak, Muhammed Emin
dc.contributor.authorÖzkul, Bengü Berrak
dc.contributor.authorOruç, Mucahit
dc.contributor.authorCelbiş, Osman
dc.date.accessioned2026-01-24T12:01:19Z
dc.date.available2026-01-24T12:01:19Z
dc.date.issued2024
dc.departmentAlanya Alaaddin Keykubat Üniversitesi
dc.description.abstractIn forensic and archaeological contexts, accurately determining an individual's age, sex, height, and weight is essential for the identification of unidentified bodies and dismembered remains. This study assesses the effectiveness of linear regression analysis and artificial neural networks (ANNs) in estimating body weight using foot measurements within the Eastern Turkish population. The research was conducted with medical students, including 149 volunteers—76 males and 73 females. Participants' height and weight were recorded using a stadiometer. Foot measurements were taken with a Vernier caliper and an osteometric board. The data were assessed utilizing SPSS 26.0, and ANN models were developed using the Keras library within the Google Colab platform. In terms of height, weight, and foot size, all these values were significantly higher in males than in females. Linear regression methods resulted in a root mean squared error (RMSE) of 11.83 kg for males, 6.23 kg for females, and 9.56 kg for the entire sample. With ANNs, these error values were reduced to 10.13 kg for males, 5.10 kg for females, and 8.07 kg for the entire sample. The analysis shows that ANNs are more adept at handling complex data, leading to improved prediction accuracy.
dc.identifier.doi10.5455/medscience.2024.05.040
dc.identifier.endpage589
dc.identifier.issn2147-0634
dc.identifier.issue3
dc.identifier.startpage583
dc.identifier.trdizinid1282469
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1282469
dc.identifier.urihttps://doi.org/10.5455/medscience.2024.05.040
dc.identifier.urihttps://hdl.handle.net/20.500.12868/4209
dc.identifier.volume13
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofMedicine Science
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_TR-Dizin_20260121
dc.subjectArtificial neural networks
dc.subjectanthropometry
dc.subjectlinear regression
dc.subjectforensic anthropology
dc.subjectWeight estimation
dc.titleEstimating body weight from foot measurements in the Eastern Turkish Population using linear methods and artificial neural networks
dc.typeArticle

Dosyalar

Koleksiyon

TR-Dizin İndeksli Yayınlar Koleksiyonu