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

Alunni, Véronique; Jardin, Philippe du; Nogueira, Luísa; Buchet, Luc; Quatrehomme, Gérald

doi:10.1016/j.forsciint.2015.05.023

Cited by 33 publications

(30 citation statements)

References 35 publications

(58 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…These ratios were subjected to stepwise discriminant analysis to select the appropriate ratios for creating an effective equation for assignment of sex. The accuracy rates of the equation were tested by 'leave-one-out' classification to evaluate the capacity of the equation to estimate sex (Ogawa et al, 2013;Alunni et al, 2015;Lee et al, 2015). The average values of each ratio obtained from individual measurements were calculated by the equation.…”

Section: Statistical Analysis and Sex-determining Bone Morphology Equmentioning

confidence: 99%

Gender-Related Differences in Pelvic Morphometrics of the Retriever Dog Breed

Nganvongpanit

Pitakarnnop

Buddhachat

et al. 2016

Anat. Histol. Embryol.

View full text Add to dashboard Cite

This study presents the results from a morphometric analysis of 52 dry Retriever dog pelvic bones (30 male, 22 female). A total of 20 parameters were measured using an osteometric board and digital vernier caliper. Six parameters were found to be significantly higher (P < 0.05) in males than in females, while one parameter was significantly higher (P < 0.05) in females than in males. However, none of the measured parameters demonstrated clear cut-off values with no intersect between males and females. Therefore, we generated a stepwise discriminant analysis from all 20 parameters in order to develop a possible working equation to discriminate gender from a dog pelvic bone. Stepwise discriminant analysis was used to create a discrimination function: Y = [82.1*PS/AII] - [50.72*LIS/LI] - [23.09*OTD/SP] + [7.69*SP/IE] + [6.52*IC/OW] + [7.67*ISA/OW] + [20.77*AII/PS] + [504.71*OW/ISA] - [90.84*PS/ISA] - [148.95], which showed an accuracy rate of 86.27%. This is the first study presenting an equation/function for use in discriminating gender from a dog's pelvic measurements. The results can be used in veterinary forensic anthropology and also show that a dog's pelvis presents sexual dimorphisms, as in humans.

show abstract

Section: Statistical Analysis and Sex-determining Bone Morphology Equmentioning

confidence: 99%

Gender-Related Differences in Pelvic Morphometrics of the Retriever Dog Breed

Nganvongpanit

Pitakarnnop

Buddhachat

et al. 2016

Anat. Histol. Embryol.

View full text Add to dashboard Cite

show abstract

“…In the literature, there are some examples of the use of discriminant analysis in anatomy (Alunni et al, 2015;Lee et al, 2015). In the article by Alunni et al (2015), the authors show how to use the femoral bones to determine gender.…”

Section: Application Of Discriminant Analysis In Medical Sciencementioning

confidence: 99%

“…In the article by Alunni et al (2015), the authors show how to use the femoral bones to determine gender. In the second cited article by Lee et al (2015), information is presented regarding how volume and surface area of different bone types were used to the same aim.…”

Section: Application Of Discriminant Analysis In Medical Sciencementioning

confidence: 99%

Significance of Discriminant Analysis in Prediction of Pregnancy in IVF Treatment

Milewska

Jankowska

Cwalina

et al. 2015

Studies in Logic, Grammar and Rhetoric

View full text Add to dashboard Cite

Many factors play an important role in prediction of infertility treatment outcome (for example, female age and quality of oocytes or embryos are the most important prognostic factors concerning positive IVF outcome). The purpose of this study was to identify a set of variables that could fulfill criteria for prediction of pregnancy in IVF patients through the application of data mining -using the discriminant analysis method. The principle of this method is to establish a set of rules that allows one to place multi-dimensional objects into one of two analyzed groups (pregnant or not pregnant). Six hundred and ten IVF cycles were included in the analysis and the following variables were taken into consideration: female age, number and quality of retrieved oocytes, number and quality of embryos, number of transferred embryos, and outcome of treatment. Discriminant analysis allowed for the creation of a model with a 51.22% correctness of prediction to achieve pregnancy during IVF treatment and with 74.07% correctly predicted failure of pregnancy. Therefore, the created model is more suitable for the prediction of a negative outcome (lack of pregnancy) during IVF treatment and offers an option for adjustments to be made during infertility treatment.

show abstract

“…The femur is an important bone in anthropometric studies, including gender and age determination [9]. Alunni et al and Kanz et al addressed the characteristics of the femoral head with a 95% precision in gender determination for Transversal Head Diameter (THD) and Head Circumference (HC), and 94.8% for Vertical Head Diameter (VHD) [10,11]. Bernard Knight recognized the size of the femoral head as a good criterion for gender determination [6].…”

Section: Introductionmentioning

confidence: 99%

Collo-Diaphyseal Angle as an Optimal Anthropometric Criterion of Femur in Gender Determination

Akhlaghi

Azizian

Sadeghian

et al. 2019

IJMTFM

View full text Add to dashboard Cite

Background: Gender determination is an important challenge in the identification of skeletal remnants and dismembered bodies. The femur bone is more likely to be preserved during accidents and over time; thus, it is one of the most useful bones in gender determination. Methods: This cross-sectional study was conducted on 54 fresh femur pairs of ˃19-yearold Iranians without anomalies or trauma. We studied the length of the femur, vertical head diameter, bicondylar width, shaft angle with the horizon, and collo-diaphyseal angle in male and female samples. Data were analyzed in SPSS using t-test and Receiver Operating Characteristic curves. P<0.05 was considered as statistically significant. Results: The samples' mean age was 37 years in males and 41 years in females. The mean values of measurements were not significantly different between the left and right femurs (P>0.05). The vertical head diameter, maximum length, bicondylar width, and the shaft angle were significantly larger in the males, compared to females. The mean degree of collodiaphyseal angle was significantly wider in females, compared to males (P<0.05). The highest precision of gender differentiation belonged to the collo-diaphyseal angle (96.3%) and the lowest one belonged to the vertical head diameter (77.8%). Conclusion: Based on our findings, even with the existence of only one femur bone, gender determination can be achieved with high precision. Collo-diaphyseal angle would be helpful in gender determination, even with the sole availability of the proximal part of the femur.

show abstract

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

Cited by 33 publications

References 35 publications

Gender-Related Differences in Pelvic Morphometrics of the Retriever Dog Breed

Gender-Related Differences in Pelvic Morphometrics of the Retriever Dog Breed

Significance of Discriminant Analysis in Prediction of Pregnancy in IVF Treatment

Collo-Diaphyseal Angle as an Optimal Anthropometric Criterion of Femur in Gender Determination

Contact Info

Product

Resources

About