性别预测模型 基于当代意大利样本中膜测量的估计
1Department of Legal Medicine, Toxicology and Physical Anthropology, University of Granada, Granada, Spain. carmentanga@correo.ugr.es.
International journal of legal medicine
|July 1, 2025
概括
在法医病例中,当牙缺失时,膜骨测量可以估计生物性别. 这项研究开发了具有高准确性的预测模型,为识别提供了可靠的替代方案.
科学领域:
- 法医人类学 法医人类学
- 生物学人类学 生物学人类学
- 骨科 骨科是指骨科的学科.
背景情况:
- 牙对于法医识别至关重要,提供了包括性别,年龄和人口亲和力在内的生物资料的数据.
- 在法医背景下,死后牙损失很常见,因此需要使用替代方法来估计生物概况.
- 气囊骨形态学为牙缺失时的性别估计提供了一个潜在的替代方案.
研究的目的:
- 开发和验证使用气泡膜测量进行性别估计的预测模型.
- 为了评估膜直径在确定生物性别的可靠性.
- 建立一个可行的方法来估计在牙损失的情况下的性别.
主要方法:
- 在127名来自塞尔托萨墓地骨科收藏的成年人中测量了梅西奥迪斯塔和口腔口腔膜口径.
- 使用训练子样本创建二元逻辑回归模型,并在保留子样本上验证.
- 分析的重点是不同类型的牙中膜尺寸的性二态.
主要成果:
- 狗气膜表现出最高的两性二态,其次是中央切口,第一前,侧切口和第二前.
- 单变量模型在训练子样本中达到57.383.9%的准确性,而多变量模型在训练子样本中达到68.091.3%的准确性.
- 验证样本 (19个人) 在性别估计中显示了89.5%的准确性,与已知的生物性别相匹配率为63.2%.
结论:
- 在牙缺失时,膜测量为法医人类学中的性别估计提供了可靠的替代方案.
- 使用膜尺寸的预测模型显示了提高识别程序的巨大潜力.
- 这种方法在具有挑战性的法医案件中为重建生物资料提供了有价值的工具.
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