Literature DB >> 26093772

Comparing discriminant analysis and neural network for the determination of sex using femur head measurements.

Véronique Alunni1, Philippe du Jardin2, Luisa Nogueira3, Luc Buchet4, Gérald Quatrehomme5.   

Abstract

The measurement of the femoral head is usually considered an interesting variable for the sex determination of skeletal remains. To date, there are few published reference measurements of the femoral head in a modern European population for the purpose of sex determination. In this study, 116 femurs from 58 individuals of the South of France (Nice Bone Collection, Nice, France) were studied. Three measurements of the femoral head were taken: the vertical head diameter (VHD), the transversal head diameter (THD) and the head circumference (HC). The results show that: (i) there is no statistical difference between the right and left femurs for each of the three measurements (VHD, THD and HC). Therefore we arbitrarily chose to use the measures from the right femurs (N=58) to pursue our experiments; (ii) the measurements of the femoral head are similar to those of contemporary American populations; (iii) the dimensions of the femoral head place the measurements of the French population somewhere between Germany or Croatia, and Spain; (iv) there is no significant secular trend (in contrast with the femoral neck diameter); (v) the femoral head measurement as a single variable is useful for sex determination: a 96.5% rate of accuracy was obtained using THD and HC measurements with the artificial neural network; and a 94.8% rate of accuracy using VHD, both with the discriminant analysis and the neural network.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Keywords:  Artificial neural network; Discriminant analysis; Femoral head diameter; Forensic anthropology; Forensic medicine; Sexual dimorphism

Mesh:

Year:  2015        PMID: 26093772     DOI: 10.1016/j.forsciint.2015.05.023

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  4 in total

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Journal:  PLoS One       Date:  2021-05-12       Impact factor: 3.240

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Authors:  Claudio Cavazzuti; Benedetta Bresadola; Chiara d'Innocenzo; Stella Interlando; Alessandra Sperduti
Journal:  PLoS One       Date:  2019-01-30       Impact factor: 3.240

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Journal:  Sci Rep       Date:  2016-04-21       Impact factor: 4.379

  4 in total

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