Sex determination through maxillary dental arch and skeletal base measurements using machine learning
Transverse dental arch and maxillary skeletal base measurements exhibited strong predictive capability, achieving high accuracy with machine learning methods. Among the evaluated models, the SVM algorithm exhibited the best performance. This indicates potential usefulness in forensic sex determination.
Authors
- Aline Xavier Ferraz (ORCID: https://orcid.org/0000-0001-9221-7466)
- Svenja Beisel-Memmert (ORCID: https://orcid.org/0000-0002-8153-6610)
- Ângela Graciela Deliga Schröder (ORCID: https://orcid.org/0000-0002-1852-8423)
- Érika Calvano Küchler (ORCID: https://orcid.org/0000-0001-5351-2526)
- Cristiano Miranda de Araújo (ORCID: https://orcid.org/0000-0003-1325-4248)
- Bianca Simone Zeigelboim (ORCID: https://orcid.org/0000-0003-4871-2683)
- Pedro Felipe de Jesus Freitas (ORCID: https://orcid.org/0009-0008-8952-0163)
- Elisa Souza Camargo (ORCID: https://orcid.org/0000-0002-7382-1526)
- Isabella Christina Costa Quadras
- Sidnei Priolo Filho
Institutions
- Pontifícia Universidade Católica do Paraná (BR)
- University Hospital Bonn (DE)
- Universidade Tuiuti do Paraná (BR)
Publication Details
- Journal
- Head & Face Medicine
- Published
- 2024-08-30
- DOI
- https://doi.org/10.1186/s13005-024-00446-w
- Citations
- 15
- Primary Topic
- Forensic Anthropology and Bioarchaeology Studies
- Type
- article
- Field-Weighted Citation Impact
- 43.86