Machine learning to predict distal caries in mandibular second molars associated with impacted third molars

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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Bibliographic Details
Main Authors: Sung-Hwi Hur, Eun-Young Lee, Min-Kyung Kim, Somi Kim, Ji-Yeon Kang, Jae Seok Lim
Format: Article
Language:English
Published: Nature Publishing Group 2021-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-95024-4

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