AIMC Topic: Sex Determination by Skeleton
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On the use of machine learning algorithms in forensic anthropology.
Legal medicine (Tokyo, Japan)
Aug 6, 2020
The classification performance of the statistical methods binary logistic regression (BLR), multinomial and penalized multinomial logistic regression (MLR, pMLR), linear discriminant analysis (LDA), and the machine learning algorithms naïve Bayes cla...
Data mining for sex estimation based on cranial measurements.
Forensic science international
Aug 2, 2020
The aim of the present study is to develop effective and understandable classification models for sex estimation and to identify the most dimorphic linear measurements in adult crania by means of data mining techniques. Furthermore, machine learning ...
A trial on artificial neural networks in predicting sex through bone length measurements on the first and fifth phalanges and metatarsals.
Computers in biology and medicine
Oct 8, 2019
BACKGROUND: Predicting sex is an important problem in forensic medicine. The femur, patella, mandible and calcaneus bones are frequently used in predicting sex. In our study, we aimed to use the artificial neural network (ANN) technique to predict se...
Sex estimation from sacrum and coccyx with discriminant analyses and neural networks in an equally distributed population by age and sex.
Forensic science international
Sep 12, 2019
Sex estimation is an essential step in the process of the identification of the skeletal remains in forensic anthropology since it reduces the number of possible matches by half. In this study, sex estimation with 21 sacral and coccygeal metric param...
Sex estimation: a comparison of techniques based on binary logistic, probit and cumulative probit regression, linear and quadratic discriminant analysis, neural networks, and naïve Bayes classification using ordinal variables.
International journal of legal medicine
Aug 23, 2019
The performance of seven classification methods, binary logistic (BLR), probit (PR) and cumulative probit (CPR) regression, linear (LDA) and quadratic (QDA) discriminant analysis, artificial neural networks (ANN), and naïve Bayes classification (NBC)...
CADOES: An interactive machine-learning approach for sex estimation with the pelvis.
Forensic science international
Jul 5, 2019
The pelvis is consistently regarded as the most sexually dimorphic region of the human skeleton, and methods for sex estimation with the pelvic bones are usually very accurate. In this investigation, population-specific osteometric models for the ass...
Sex estimation using sternum part lenghts by means of artificial neural networks.
Forensic science international
May 10, 2019
In addition to the pelvis, cranium and phalanges, the sternum is also used for postmortem sex identification. Bone measurements may be obtained on cadaveric bones. Alternatively, computerized tomography may be used to obtain measurements close to the...
Artificial intelligence for sex determination of skeletal remains: Application of a deep learning artificial neural network to human skulls.
Journal of forensic and legal medicine
Jan 4, 2019
A deep learning artificial neural network was adapted to the task of sex determination of skeletal remains. The neural network was trained on images of 900 skulls virtually reconstructed from hospital CT scans. When tested on previously unseen images...
Sex Determination of 3D Skull Based on a Novel Unsupervised Learning Method.
Computational and mathematical methods in medicine
Jun 25, 2018
In law enforcement investigation cases, sex determination from skull morphology is one of the important steps in establishing the identity of an individual from unidentified human skeleton. To our knowledge, existing studies of sex determination of t...
Sex determination from the femur in Portuguese populations with classical and machine-learning classifiers.
Journal of forensic and legal medicine
Aug 24, 2017
The assessment of sex is of paramount importance in the establishment of the biological profile of a skeletal individual. Femoral relevance for sex estimation is indisputable, particularly when other exceedingly dimorphic skeletal regions are missing...
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