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The age at death assessment in a multi-ethnic sample of pelvic bones using nature-inspired data mining methods
Z. Buk, P. Kordik, J. Bruzek, A. Schmitt, M. Snorek,
Language English Country Ireland
Document type Journal Article
NLK
ProQuest Central
from 1997-02-07 to 2 months ago
Nursing & Allied Health Database (ProQuest)
from 1997-02-07 to 2 months ago
Health & Medicine (ProQuest)
from 1997-02-07 to 2 months ago
- MeSH
- Algorithms MeSH
- Data Mining methods MeSH
- Adult MeSH
- Ethnicity MeSH
- Middle Aged MeSH
- Humans MeSH
- Ilium anatomy & histology MeSH
- Racial Groups MeSH
- ROC Curve MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Forensic Anthropology MeSH
- Pubic Symphysis anatomy & histology MeSH
- Age Determination by Skeleton methods MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
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.
References provided by Crossref.org
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