How successful is the CatBoost classifier in diagnosing different dental anomalies in patients via sella turcica and vertebral morphologic alteration?
Every prediction model from the four experiments prioritized different variables. These findings may suggest that related research should focus on specific traits from a diagnostic perspective.
Authors
- Busra Beser (ORCID: https://orcid.org/0000-0002-7280-0168)
- Mehmet Sert (ORCID: https://orcid.org/0000-0002-6356-9240)
- Merve Gonca (ORCID: https://orcid.org/0000-0003-1299-9088)
Institutions
- Recep Tayyip Erdoğan University (TR)
- Gaziantep University (TR)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2024-08-29
- DOI
- https://doi.org/10.1186/s12911-024-02643-8
- Citations
- 2
- Primary Topic
- dental development and anomalies
- Type
- article
- Field-Weighted Citation Impact
- 0.47