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
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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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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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
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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
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