Document Detail


The age at death assessment in a multi-ethnic sample of pelvic bones using nature-inspired data mining methods.
MedLine Citation:
PMID:  22440582     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Recently published studies showed that age assessment methods are population specific. Authors analyse the senescence changes in pubic symphysis and sacro-pelvic surface of a pelvic bone using data mining methods. The multi-ethnic data set consists of 956 adult individuals ranging from 19 to 100 years of age derived from 9 different populations with known age and sex. The results show that accurate and reliable age assessment is possible to three age classes (less than 30, 30-60, 60 and more). The study confirms that population specificity of the methods exists and the variable "sex" is not important in age classification.
Authors:
Zdenek Buk; Pavel Kordik; Jaroslav Bruzek; Aurore Schmitt; Miroslav Snorek
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-3-20
Journal Detail:
Title:  Forensic science international     Volume:  -     ISSN:  1872-6283     ISO Abbreviation:  -     Publication Date:  2012 Mar 
Date Detail:
Created Date:  2012-3-23     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7902034     Medline TA:  Forensic Sci Int     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012. Published by Elsevier Ireland Ltd.
Affiliation:
Computational Intelligence Group, Department of Computer Science and Engineering, Faculty of Electrical Engineering, Czech Technical University in Prague, Karlovo náměstí 13, 121 35 Prague, Czech Republic.
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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