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本文引用的文献

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Evaluation of ancestry from human skeletal remains: a concise review.人类骨骼遗骸的血统评估:简要综述。
Forensic Sci Res. 2019 Dec 23;5(2):89-97. doi: 10.1080/20961790.2019.1697060. eCollection 2020.
2
On the use of machine learning algorithms in forensic anthropology.论机器学习算法在法医人类学中的应用。
Leg Med (Tokyo). 2020 Nov;47:101771. doi: 10.1016/j.legalmed.2020.101771. Epub 2020 Aug 6.
3
Morphoscopic ancestry estimates in Filipino crania using multivariate probit regression models.使用多元概率回归模型对菲律宾颅骨进行形态学祖先估计。
Am J Phys Anthropol. 2020 Jul;172(3):386-401. doi: 10.1002/ajpa.24008. Epub 2020 Jan 14.
4
Variation within physical and digital craniometrics.体颅骨测量学和数字颅骨测量学的差异。
Forensic Sci Int. 2020 Jan;306:110092. doi: 10.1016/j.forsciint.2019.110092. Epub 2019 Nov 29.
5
Craniometric variation and ancestry estimation in two contemporary Caribbean populations.颅骨变异与两个当代加勒比人群的祖先估计。
Forensic Sci Int. 2019 Dec;305:110013. doi: 10.1016/j.forsciint.2019.110013. Epub 2019 Oct 25.
6
Comparative analysis of four morphometric methods for sex estimation: A study conducted on human skulls.四种性别估计形态测量方法的比较分析:一项针对人类头骨的研究。
Leg Med (Tokyo). 2019 Jul;39:29-34. doi: 10.1016/j.legalmed.2019.06.001. Epub 2019 Jun 3.
7
Testing the reliability of 3D-ID software in sex and ancestry estimation with a modern Greek sample.使用现代希腊样本测试3D-ID软件在性别和血统估计方面的可靠性。
Forensic Sci Int. 2019 Apr;297:132-137. doi: 10.1016/j.forsciint.2019.02.004. Epub 2019 Feb 14.
8
Ancestry estimation of three Mediterranean populations based on cranial metrics.基于颅骨测量学对三个地中海人群的血统估计。
Forensic Sci Int. 2018 May;286:265.e1-265.e8. doi: 10.1016/j.forsciint.2018.02.014. Epub 2018 Feb 23.
9
Intraobserver Error in Macromorphoscopic Trait Data,大体形态特征数据的观察者内误差
J Forensic Sci. 2018 Mar;63(2):361-370. doi: 10.1111/1556-4029.13564. Epub 2017 May 24.
10
Sex and ancestry assessment of Brazilian crania using semi-automatic mesh processing tools.使用半自动网格处理工具对巴西颅骨进行性别和血统评估。
Leg Med (Tokyo). 2016 Nov;23:34-43. doi: 10.1016/j.legalmed.2016.09.004. Epub 2016 Sep 7.

基于巴西颅骨形态分析的祖源估计方法的应用。

Application of an ancestrality estimate method through morphoscopic analysis of Brazilian skulls.

机构信息

Community Dentistry Department, School of Dentistry, Universidade de São Paulo (FOUSP), São Paulo, São Paulo, Brazil.

Institute of Teaching and Research in Forensic Sciences, São Paulo, São Paulo, Brazil.

出版信息

J Forensic Odontostomatol. 2022 Aug 30;40(2):2-9.

PMID:36027893
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9942795/
Abstract

The objective of the investigation was to test a technique originating in the United States to verify the accuracy of the ancestry estimate in a sample of Brazilian skulls. The sample consisted of 120 skulls of Brazilian adults from the collection of the Institute of Education and Research in Forensic Sciences (IEPCF), Guarulhos-SP, Brazil, with ancestry determined by routine examination. In the skull, the following structures were analyzed: anterior nasal spine (ANS), inferior nasal aperture (INA), interorbital breadth (IOB) nasal aperture width (NAW), nasal bone structure (NBS), and post bregmatic depression (PBD). The Hefner and Ousley technique was applied to classify ancestry. Data were registered and correctness percentage was obtained. To improve ancestry prediction, Machine Learning techniques were used. Regarding the error of the studied method and the correctness of the complete sample, the study presented a percentage above 50%, with values such as 56.33% for whites and 53.07% for non-whites. The most frequent ANS parameter was marked (37.5%), INA straight (31.7%), IOB wide (38.3%), NAW medium (32.5%) NBS triangular (29.2%), and PBD present (78.3%). The application of the method in the sample of the study showed a limitation to estimate ancestry, suggesting a need for adaptation for its applicability in the Brazilian population.

摘要

研究目的是验证源自美国的一种技术,以验证巴西颅骨样本中祖先估计的准确性。该样本由来自巴西瓜鲁柳斯的教育和研究法医科学研究所(IEPCF)的 120 具巴西成年人颅骨组成,其祖先通过常规检查确定。在颅骨中,分析了以下结构:前鼻棘(ANS)、下鼻口(INA)、眶间宽度(IOB)、鼻口宽度(NAW)、鼻骨结构(NBS)和后额骨凹陷(PBD)。应用赫夫纳和奥斯曼技术对祖先进行分类。记录数据并获得正确性百分比。为了提高祖先预测的准确性,使用了机器学习技术。关于研究方法的错误和完整样本的正确性,该研究的百分比高于 50%,例如白人的 56.33%和非白人的 53.07%。最常见的 ANS 参数为标记(37.5%)、INA 直(31.7%)、IOB 宽(38.3%)、NAW 中等(32.5%)、NBS 三角形(29.2%)和 PBD 存在(78.3%)。该方法在研究样本中的应用表明其在估计祖先方面存在局限性,表明需要进行调整以使其适用于巴西人群。