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Metric Sex Determination of the Human Coxal Bone on a Virtual Sample using Decision Trees
- Source :
- Journal of Forensic Sciences. 60:1395-1400
- Publication Year :
- 2015
- Publisher :
- Wiley, 2015.
-
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.
- Subjects :
- Adult
Male
Multivariate statistics
Decision tree
Pathology and Forensic Medicine
Imaging, Three-Dimensional
Multidetector Computed Tomography
Statistics
Genetics
Humans
Pelvic Bones
Retrospective Studies
Mathematics
Training set
business.industry
Decision Trees
Discriminant Analysis
Forensic anthropology
Sex Determination by Skeleton
Linear discriminant analysis
Test set
Virtual sample
Metric (mathematics)
Forensic Anthropology
Female
Artificial intelligence
Anatomic Landmarks
business
Subjects
Details
- ISSN :
- 00221198
- Volume :
- 60
- Database :
- OpenAIRE
- Journal :
- Journal of Forensic Sciences
- Accession number :
- edsair.doi.dedup.....6761058d5b2ff0778afc82980938ed41