Dervišević Emina, Selmanagić Aida, Šehić Kenan
Department of Forensic Medicine, Faculty of Medicine, University of Sarajevo, Sarajevo, Bosnia and Herzegovina.
Department of Tooth Morphology with Dental Anthropology and Forensics, School of Dentistry, University of Sarajevo, Sarajevo, Bosnia and Herzegovina.
Int J Legal Med. 2025 Apr 7. doi: 10.1007/s00414-025-03478-2.
In recent years, the use of precise age assessment methods on living individuals has become increasingly important in the forensic field. The aim of this study was to develop, for the first time, a Bosnian and Herzegovinian-specific formula based on our local dataset, utilizing the LASSO model to uncover and leverage the unique characteristics of the Bosnian-Herzegovinian population. This research is undertaken to address the need for a Bosnia-Herzegovina-specific equation capable of accurately predicting a child's age using local data. The dataset covering the details of 205 Bosnian boys and girls, spanning from 7 to 13 years, to maintain representativeness and reduce potential age-related biases. Three distinct models were considered, each inspired by existing approaches but adapted to the specifics of the local dataset. The first model, based on the Belgrade equation, incorporated predictors x3, x7, and N0. The second model extended the European equation by including N0, x5, s, and the interaction term s⋅N0. The third model adopted a linear regression framework with Lasso regularization, which used all available predictors (x1, x2, x3, x4, x5, x6, x7, s, N0, s⋅N0). It would be recommended that in the future the BH equation that has the form of the European one that specifically uses the x5 tooth with gender, sum and product be used. A linear model with fewer parameters is generally preferred, as the results between Lasso and such models are ultimately negligible. In this study, we explored the use of Lasso model as a method to identify which teeth contribute most to dental age estimation within a linear modeling framework. By comparing Lasso's performance to the customized European formula for the Bosnian-Herzegovinian population, we found that the results were similar, and in some cases, Lasso even performed slightly better. Given that the European formula relies on fewer features, it presents a practical and efficient alternative as a final model for Bosnian-Herzegovinian dental age estimation.
近年来,在法医学领域,对活体个体使用精确的年龄评估方法变得越来越重要。本研究的目的是首次基于我们的本地数据集开发一个波斯尼亚和黑塞哥维那特定的公式,利用套索(LASSO)模型来揭示和利用波斯尼亚和黑塞哥维那人群的独特特征。进行这项研究是为了满足对一个能够使用本地数据准确预测儿童年龄的波斯尼亚和黑塞哥维那特定方程的需求。该数据集涵盖了205名波斯尼亚男孩和女孩的详细信息,年龄跨度为7至13岁,以保持代表性并减少潜在的年龄相关偏差。考虑了三种不同的模型,每种模型都受到现有方法的启发,但根据本地数据集的具体情况进行了调整。第一个模型基于贝尔格莱德方程,纳入了预测变量x3、x7和N0。第二个模型通过纳入N0、x5、s以及交互项s⋅N0扩展了欧洲方程。第三个模型采用了带有套索正则化的线性回归框架,使用了所有可用的预测变量(x1、x2、x3、x4、x5、x6、x7、s、N0、s⋅N0)。建议在未来使用具有欧洲方程形式的波斯尼亚和黑塞哥维那方程,该方程专门使用带有性别、总和与乘积的x5牙齿。通常更倾向于使用参数较少的线性模型,因为套索模型和此类模型之间的结果最终可以忽略不计。在本研究中,我们探索了使用套索模型作为一种方法,以确定在一个线性建模框架内哪些牙齿对牙齿年龄估计贡献最大。通过将套索模型的性能与针对波斯尼亚和黑塞哥维那人群定制的欧洲公式进行比较,我们发现结果相似,并且在某些情况下,套索模型甚至表现得稍好一些。鉴于欧洲公式依赖的特征较少,它作为波斯尼亚和黑塞哥维那牙齿年龄估计的最终模型是一种实用且高效的选择。