Machine learning to predict distal caries in mandibular second molars associated with impacted third molars
Abstract Impacted mandibular third molars (M3M) are associated with the occurrence of distal caries on the adjacent mandibular second molars (DCM2M). In this study, we aimed to develop and validate five machine learning (ML) models designed to predict the occurrence of DCM2Ms due to the proximity wi...
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Autores principales: | Sung-Hwi Hur, Eun-Young Lee, Min-Kyung Kim, Somi Kim, Ji-Yeon Kang, Jae Seok Lim |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/b68fb3ad83f24b0a9ddad96649ef4dd6 |
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