Estimation of sexual dimorphism of adult human mandibles of South Indian origin using non-metric parameters and machine learning classification algorithms

The mandible is one of the most reliable in sex determination in forensic anthropology. The shape of the mandible provides valuable information regarding the male and female distinctions. Machine learning algorithms are widely used for various applications due to their accuracy and reliability, exte...

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Veröffentlicht in:	Scientific reports Jg. 15; H. 1; S. 34534 - 23
Hauptverfasser:	Corda, John Valerian, Karthikeyan, A., Zuber, Mohammad, Jacob, Meera, Ramos, Amith, Hosapatna, Mamatha, Dsouza, Anne, Pandey, Akhilesh Kumar, Ankolekar, Vrinda Hari
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 03.10.2025 Nature Publishing Group Nature Portfolio
Schlagworte:	639/166 692/308 692/698 Accuracy Adult Algorithms Anthropology Artificial intelligence Bones Cardiovascular disease Classification Classification Algorithms Consent Data collection Datasets Decision Trees Engineering Feature selection Female Females Forensic Anthropology - methods Humanities and Social Sciences Humans India Learning algorithms Machine Learning Machine learning algorithms Male Males Mandible Mandible - anatomy & histology Medicine Morphology multidisciplinary Neural networks Non-metric features Random oversampling Science Science (multidisciplinary) Sex Characteristics Sex determination Sex Determination by Skeleton - methods Sexual dimorphism Statistical analysis Support Vector Machine Support vector machines Synthetic minority oversampling technique Young Adult India Random oversampling Mandible Machine learning algorithms Sexual dimorphism Synthetic minority oversampling technique Non-metric features
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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