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Can I read Age Estimation of Adult Human Remains from Hip Bones Using Advanced Methods on EtoBox?
Age Estimation of Adult Human Remains from Hip Bones Using Advanced Methods by Anežka Kotěrová; David Navega; Michal Štepanovský; Zdeněk Buk; Jaroslav Brůžek; Eugénia Cunha is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is Age Estimation of Adult Human Remains from Hip Bones Using Advanced Methods about?
The assessment of age-at-death is an important and challenging part of investigations of human skeletal remains. The main objective of the present study was to apply different mathematical approaches in order to reach more accurate and reliable results in age estimation. A multi-ethnic dataset (n=941) of evaluated age-related changes on the pubic symphysis and the auricular surface of the hip bone was used. Two research groups examined nine different mathematical approaches. The best results were reached by Multi-linear regression, followed by the Collapsed regression model, with MAE values of 9.7 and 9.9 years, respectively, and with RMSE values of 12.1 and 12.2, respectively. The mean accuracy of decision tree models ranged between 30.7% and 72.3%, with the model using only the PUSx indicator performing the best. Moreover, our results indicate that the limiting factor of age estimation can be the visual evaluation of age-related changes. Further research is required to objectify the proposed methods for estimating age.
Who reads Age Estimation of Adult Human Remains from Hip Bones Using Advanced Methods?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Anežka Kotěrová; David Navega; Michal Štepanovský; Zdeněk Buk; Jaroslav Brůžek; Eugénia Cunha
- Published
- 2018
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)