Performance of the supervised learning algorithms in sex estimation of the proximal femur: A comparative study in contemporary Egyptian and Turkish samples

标题
Performance of the supervised learning algorithms in sex estimation of the proximal femur: A comparative study in contemporary Egyptian and Turkish samples
作者
关键词
Forensic anthropology, Supervised machine learning algorithms, Femur sexual dimorphism, Regional sex estimation standards, Contemporary metapopulations skeletal database
出版物
SCIENCE & JUSTICE
Volume 62, Issue 3, Pages 288-309
出版商
Elsevier BV
发表日期
2022-03-09
DOI
10.1016/j.scijus.2022.03.003

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