利用 CT 图像估算 50 岁以上人群的死亡年龄:一种创新的人类学方法。

IF 1.2 4区 医学 Q3 MEDICINE, LEGAL
Mohamed Kenani , Marwa Boussaid , Oumeima Brahim , Mohamed Amine Mesrati , Abir Aissaoui
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引用次数: 0

摘要

目的:本研究的目的是利用回归模型,开发预测 50 岁以上人群年龄的新方法:本研究旨在利用回归模型开发一种预测 50 岁以上人群年龄的新方法:本研究为横断面分析性质,涉及 44 名年轻受试者和 107 名老年受试者。研究的必要数据来自 "新墨西哥州死者图像数据库"。根据身高随年龄增长而缩小的现象,我们为年轻受试者创建了模型,并将其应用于老年受试者,从而提取出变量:我们获得了非常令人鼓舞的结果,R2 为 0.73,平均绝对误差为 3.94,交叉验证结果稳定。我们使用了学生 t 检验,结果表明预测值和实际值之间没有显著差异(p 值大于 0.05)。我们还进行了学习曲线分析,并对照预测值检查了残差。这表明预测是准确的,预测值没有明显偏差:这项工作使我们得出结论,考虑到与年龄有关的生理和病理变化,可靠地估计 50 岁以上受试者的年龄是可能的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Age estimation at death in individuals over 50 using CT images: An innovative anthropological approach

Objectives

The aim of the present work is to develop a novel method for predicting age in individuals over 50 years old, utilizing regression models.

Methods

The conducted study is of an analytical cross-sectional nature, involving a sample of 44 young subjects and 107 elderly subjects. The necessary data for this research were extracted from "The New Mexico Decedent Image Database." Based on the phenomenon of height shrinkage with age, we created models for young subjects and applied them to elderly subjects, allowing us to extract the variables.

Results

We obtained highly encouraging results with an R2 of 0.73, a mean absolute error of 3.94, and stable cross-validation. We used a Student's t-test, which demonstrated no significant difference between predicted and actual values (p-value >0.05). We also conducted a learning curve analysis and examined residuals against predicted values. This suggests that the forecasts are accurate, with no significant bias in predictions.

Conclusion

This work has allowed us to conclude that it is possible to reliably estimate the age of subjects over 50, taking into account age-related physiological and pathological changes.
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来源期刊
CiteScore
2.70
自引率
6.70%
发文量
106
审稿时长
57 days
期刊介绍: The Journal of Forensic and Legal Medicine publishes topical articles on aspects of forensic and legal medicine. Specifically the Journal supports research that explores the medical principles of care and forensic assessment of individuals, whether adult or child, in contact with the judicial system. It is a fully peer-review hybrid journal with a broad international perspective. The Journal accepts submissions of original research, review articles, and pertinent case studies, editorials, and commentaries in relevant areas of Forensic and Legal Medicine, Context of Practice, and Education and Training. The Journal adheres to strict publication ethical guidelines, and actively supports a culture of inclusive and representative publication.
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