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Novel data mining-based age-at-death estimation model using adult pubic symphysis 3D scans

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F21%3A10441520" target="_blank" >RIV/00216208:11310/21:10441520 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21240/21:00365867

  • Result on the web

    <a href="http://ceur-ws.org/Vol-2962/paper29.pdf" target="_blank" >http://ceur-ws.org/Vol-2962/paper29.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Novel data mining-based age-at-death estimation model using adult pubic symphysis 3D scans

  • Original language description

    The paper introduces a novel age-at-death estimation model based on Convolutional Neural Network (CNN). The model uses 3D scan of human pubic symphysis as an input and estimates the age-at-death of the individual as an output. The Mean Absolute Error (MAE) of this model is about 10.6 years for individuals between 18 and 92 years of age-at-death. Moreover, the results of the study indicate that pubic symphysis can be used to estimate the age of individuals across the entire age range. The study involved a sample of 483 bone scans collected from 374 individuals (from which 109 individuals provided both left and right pubic symphysis).

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10600 - Biological sciences

Result continuities

  • Project

    <a href="/en/project/TL03000646" target="_blank" >TL03000646: Software for evaluation of age with use of pelvis in Retrospective Anthropology, Archeology and Forensic Sciences</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 21st Conference Information Technologies – Applications and Theory (ITAT 2021)

  • ISBN

  • ISSN

    1613-0073

  • e-ISSN

    1613-0073

  • Number of pages

    7

  • Pages from-to

    46-52

  • Publisher name

    CEUR Workshop Proceedings (CEUR-WS.org)

  • Place of publication

    Aachen, Germany

  • Event location

    Nízke Tatry and Muránska planina, Slovakia

  • Event date

    Sep 24, 2021

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article