Using machine learning to determine age over 16 based on development of third molar and periodontal ligament of second molar

BACKGROUND: Having a reliable and feasible method to estimate whether an individual has reached 16 years of age would greatly benefit forensic analysis. The study of age using dental information has matured recently. In addition, machine learning (ML) is gradually being applied for dental age estima...

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Detalles Bibliográficos
Autores principales: Shen, Shihui, Zhou, Zhuojun, Wang, Jian, Fan, Linfeng, Han, Junli, Tao, Jiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10510268/
https://www.ncbi.nlm.nih.gov/pubmed/37730591
http://dx.doi.org/10.1186/s12903-023-03284-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10510268/
https://www.ncbi.nlm.nih.gov/pubmed/37730591
http://dx.doi.org/10.1186/s12903-023-03284-5

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