Machine learning-based sex estimation using palatal morphometry acquired from digital impressions

The results indicate that the methodology used for sex estimation in this study is promising. However, further studies with larger sample sizes and inclusion of a broader range of population groups are needed to confirm and strengthen the validity of these results.

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Publication Details

Journal
BMC Oral Health
Published
2025-11-27
DOI
https://doi.org/10.1186/s12903-025-07291-6
Primary Topic
Forensic Anthropology and Bioarchaeology Studies
Type
article
Field-Weighted Citation Impact
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article

Machine learning-based sex estimation using palatal morphometry acquired from digital impressions

Kartini Abd. Karim, Dler Mohammed, Mirjana Baban
BMC Oral Health
Forensic Anthropology and Bioarchaeology Studies
article

Machine learning-based sex estimation using palatal morphometry acquired from digital impressions

Kartini Abd. Karim, Dler Mohammed, Mirjana Baban
article en

Abstract

The results indicate that the methodology used for sex estimation in this study is promising. However, further studies with larger sample sizes and inclusion of a broader range of population groups are needed to confirm and strengthen the validity of these results.

BMC Oral HealthVol. 25(1)
Sulaimani Polytechnic University (IQ), University of Sulaimani (IQ)
Openalex Percentile: Top 65%
Forensic Anthropology and Bioarchaeology Studies
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Machine learning-based sex estimation using palatal morphometry acquired from digital impressions — Kartini Abd. Karim, Dler Mohammed, et al. · BMC Oral Health (2025) | TGRS Research Map | TGRS