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    
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.
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.
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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