Efficiency of the Adjusted Binary Classification (ABC) Approach in Osteometric Sex Estimation: A Comparative Study of Different Linear Machine Learning Algorithms and Training Sample Sizes.

Attia, MennattAllah Hassan; Kholief, Marwa A; Zaghloul, Nancy M; Kruzic, Ivana; Andelinovic, Simun; Basic, Zeljana; Jerkovic, Ivan

Attia, MennattAllah Hassan; Kholief, Marwa A; Zaghloul, Nancy M; Kruzic, Ivana; Andelinovic, Simun; Basic, Zeljana; Jerkovic, Ivan.

Afiliación

Attia MH; Forensic Medicine and Clinical Toxicology, Faculty of Medicine, Alexandria University, Alexandria 21568, Egypt.
Kholief MA; Forensic Medicine and Clinical Toxicology, Faculty of Medicine, Alexandria University, Alexandria 21568, Egypt.
Zaghloul NM; Forensic Medicine and Clinical Toxicology Department, Faculty of Medicine, Misr University for Science and Technology, Giza 3236101, Egypt.
Kruzic I; University Department of Forensic Sciences, University of Split, Rudera Boskovica 33, 21000 Split, Croatia.
Andelinovic S; School of Medicine, University of Split, Soltanska 2, 21000 Split, Croatia.
Basic Z; Clinical Department for Pathology, Legal Medicine and Cytology, University Hospital Center Split, Spinciceva 1, 21000 Split, Croatia.
Jerkovic I; University Department of Forensic Sciences, University of Split, Rudera Boskovica 33, 21000 Split, Croatia.

Biology (Basel) ; 11(6)2022 Jun 15.

Article en En | MEDLINE | ID: mdl-35741437

Palabras clave

adjusted binary classification; machine learning algorithms; optimal training sample size; osteometric sex estimation

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Biology (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Egipto

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