Probabilistic age classification with Bayesian networks: a study on the ossification status of the medial clavicular epiphysis

Détails

ID Serval
serval:BIB_4EA47D850112
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Probabilistic age classification with Bayesian networks: a study on the ossification status of the medial clavicular epiphysis
Périodique
Forensic Science International
Auteur(s)
Sironi E., Pinchi V., Taroni F.
ISSN
0379-0738
Statut éditorial
Publié
Date de publication
01/2016
Peer-reviewed
Oui
Volume
258
Pages
81-87
Langue
anglais
Résumé
In the past few decades, the rise of criminal, civil and asylum cases involving young people lacking valid identification documents has generated an increase in the demand of age estimation. The chronological age or the probability that an individual is older or younger than a given age threshold are generally estimated by means of some statistical methods based on observations performed on specific physical attributes. Among these statistical methods, those developed in the Bayesian framework allow users to provide coherent and transparent assignments which fulfill forensic and medico-legal purposes. The application of the Bayesian approach is facilitated by using probabilistic graphical tools, such as Bayesian networks. The aim of this work is to test the performances of the Bayesian network for age estimation recently presented in scientific literature in classifying individuals as older or younger than 18 years of age. For these exploratory analyses, a sample related to the ossification status of the medial clavicular epiphysis available in scientific literature was used. Results obtained in the classification are promising: in the criminal context, the Bayesian network achieved, on the average, a rate of correct classifications of approximatively 97%, whilst in the civil context, the rate is, on the average, close to the 88%. These results encourage the continuation of the development and the testing of the method in order to support its practical application in casework.
Mots-clé
Forensic medicine, Forensic age estimation, Skeletal age assessment, Medial clavicular epiphysis development, Probabilistic approach, Bayesian networks
Création de la notice
05/01/2016 14:03
Dernière modification de la notice
20/08/2019 15:04
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