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Updated: Jan 9, 2026

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结合形态特征和头骨的测量,以通过随机森林建模来进行骨科性别估计

Morgan J Ferrell1, John J Schultz1, Donovan M Adams2,3

  • 1Department of Anthropology, University of Kentucky, Lexington, Kentucky, USA.

Journal of forensic sciences
|December 1, 2025
PubMed
概括

这项研究使用随机森林 (RF) 建模整合了形态和度量数据,以改善从头骨骨的骨质性估计. 组合数据模型实现了高精度,与当前方法相比.

关键词:
生物特征 生物特征 生物特征法医人类学 法医人类学机器学习是机器学习.随机森林建模随机森林建模性别估计性别估计头骨 头骨头 头骨 头骨 头骨 头骨 头骨

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The bones of the human skeletal system are of varied shapes, sizes, and functions. They can be classified based on their shape and function into four major classes: long bones, short bones, flat bones, and irregular bones. Some classifications include a fifth type, the sesamoid bones, as a separate class, whereas others categorize them under short bones.
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