title: The age at death assessment in a multi-ethnic sample of pelvic bones using nature-inspired data mining methods.
abstract: 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.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. bukz1@fel.cvut.cz
authors.forename: Zdenek
authors.initials: Z
authors.lastname: Buk
authors.forename: Pavel
authors.initials: P
authors.lastname: Kordik
authors.forename: Jaroslav
authors.initials: J
authors.lastname: Bruzek
authors.forename: Aurore
authors.initials: A
authors.lastname: Schmitt
authors.forename: Miroslav
authors.initials: M
authors.lastname: Snorek
mesh_terms: D000328:Adult; D000365:Age Determination by Skeleton / Q000379:methods*; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D057225:Data Mining / Q000379:methods*; D005006:Ethnicity; D005260:Female; D018732:Forensic Anthropology; D006801:Humans; D007085:Ilium / Q000033:anatomy & histology*; D008297:Male; D008875:Middle Aged; D011631:Pubic Symphysis / Q000033:anatomy & histology*; D012372:ROC Curve; D044469:Racial Groups