Prediction of gender from radiographic condylar and coronoid measurements using elastic net and random forests

The study shows that machine learning models can achieve high accuracy in gender prediction. However, future research should expand the sample size, explore additional features, and conduct cross-validation for applicability.

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Publication Details

Journal
Journal of Oral and Maxillofacial Pathology
Published
2025-04-01
DOI
https://doi.org/10.4103/jomfp.jomfp_246_24
Primary Topic
Forensic Anthropology and Bioarchaeology Studies
Type
article
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0.00
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article

Prediction of gender from radiographic condylar and coronoid measurements using elastic net and random forests

Vignesh Ravindran, Pradeep Kumar Yadalam, Shanmathy Sureshbabu, Abirami Arthanari et al.
Journal of Oral and Maxillofacial Pathology
Forensic Anthropology and Bioarchaeology Studies
article

Prediction of gender from radiographic condylar and coronoid measurements using elastic net and random forests

Vignesh Ravindran, Pradeep Kumar Yadalam, Shanmathy Sureshbabu, Abirami Arthanari, Shaan Raaj
article en

Abstract

The study shows that machine learning models can achieve high accuracy in gender prediction. However, future research should expand the sample size, explore additional features, and conduct cross-validation for applicability.

Journal of Oral and Maxillofacial PathologyVol. 29(2)
Saveetha University (IN)
Openalex Percentile: Top 82%
Forensic Anthropology and Bioarchaeology Studies
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