Metric Sex Determination of the Human Coxal Bone on a Virtual Sample using Decision Trees.

Details

Serval ID
serval:BIB_355A8934E607
Type
Article: article from journal or magazin.
Collection
Publications
Title
Metric Sex Determination of the Human Coxal Bone on a Virtual Sample using Decision Trees.
Journal
Journal of Forensic Sciences
Author(s)
Savall F., Faruch-Bilfeld M., Dedouit F., Sans N., Rousseau H., Rougé D., Telmon N.
ISSN
1556-4029 (Electronic)
ISSN-L
0022-1198
Publication state
Published
Issued date
2015
Peer-reviewed
Oui
Volume
60
Number
6
Pages
1395-1400
Language
english
Abstract
Decision trees provide an alternative to multivariate discriminant analysis, which is still the most commonly used in anthropometric studies. Our study analyzed the metric characterization of a recent virtual sample of 113 coxal bones using decision trees for sex determination. From 17 osteometric type I landmarks, a dataset was built with five classic distances traditionally reported in the literature and six new distances selected using the two-step ratio method. A ten-fold cross-validation was performed, and a decision tree was established on two subsamples (training and test sets). The decision tree established on the training set included three nodes and its application to the test set correctly classified 92% of individuals. This percentage was similar to the data of the literature. The usefulness of decision trees has been demonstrated in numerous fields. They have been already used in sex determination, body mass prediction, and ancestry estimation. This study shows another use of decision trees enabling simple and accurate sex determination.
Pubmed
Web of science
Create date
14/07/2016 8:51
Last modification date
20/08/2019 13:22
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