Machine Learning in Predicting Tooth Loss: A Systematic Review and Risk of Bias Assessment

Machine Learning in Predicting Tooth Loss: A Systematic Review and Risk of Bias Assessment

Predicting tooth loss is a persistent clinical challenge in the 21st century. While an emerging field in dentistry, computational solutions that employ machine learning are promising for enhancing clinical outcomes, including the chairside prognostication of tooth loss. We aimed to evaluate the risk...

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Bibliographic Details
Main Authors: Akira Hasuike, Taito Watanabe, Shin Wakuda, Keisuke Kogure, Ryo Yanagiya, Kevin M. Byrd, Shuichi Sato
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Journal of Personalized Medicine
Subjects:
machine learning
boosting
deep learning
tooth loss
periodontitis
prognosis
Online Access:https://www.mdpi.com/2075-4426/12/10/1682

Internet

https://www.mdpi.com/2075-4426/12/10/1682

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