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

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第一作者： MennattAllah,H Attia

第一单位： Forensic Medicine and Clinical Toxicology, Faculty of Medicine, Alexandria University, Alexandria, Egypt. Electronic address: mennatt.hassan@alexmed.edu.eg.

作者： MennattAllah,H Attia ^[1] ; Mohamed,H Attia ^[2] ; Yasmin,Tarek Farghaly ^[3] ; Bassam,Ahmed El-Sayed Abulnoor ^[4] ; Francisco,Curate ^[5]

作者单位： Forensic Medicine and Clinical Toxicology, Faculty of Medicine, Alexandria University, Alexandria, Egypt. Electronic address: mennatt.hassan@alexmed.edu.eg. ^[1] Biomedical Engineering, Medical Research Institute, Alexandria University, Egypt; Institute for Intelligent Systems Research and Innovation, Deakin University, Australia. Electronic address: attiamohammed@hotmail.com. ^[2] Diagnostic Radiology, Faculty of Medicine, Alexandria University, Egypt. ^[3] Fixed Prosthodontics, Faculty of Dentistry, Ain Shams University, Egypt. ^[4] University of Coimbra, Research Centre for Anthropology and Health, Department of Life Sciences, Coimbra, Portugal; University of Coimbra, Laboratory of Forensic Anthropology, Department of Life Sciences, Coimbra, Portugal. Electronic address: fcurate@uc.pt. ^[5]

关键词 Contemporary metapopulations skeletal database Femur sexual dimorphism Forensic anthropology Regional sex estimation standards Supervised machine learning algorithms

医学主题词算法(Algorithms);贝叶斯定理(Bayes Theorem);埃及(Egypt);股骨(Femur);人类(Humans)

DOI 10.1016/j.scijus.2022.03.003

PMID 35598923

发布时间 2022-05-31

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