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.

Computational Intelligence Group Department of Computer Science and Engineering Faculty of Electrical Engineering Czech Technical University Prague Karlovo náměstí 13 121 35 Prague Czech Republic

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The computational age-at-death estimation from 3D surface models of the adult pubic symphysis using data mining methods

A validation study of the Stoyanova et al. method (2017) for age-at-death estimation quantifying the 3D pubic symphyseal surface of adult males of European populations