Development and Validation of an Ultrasonography-Based Machine Learning Model for Predicting Outcomes of Bruxism Treatments

Development and Validation of an Ultrasonography-Based Machine Learning Model for Predicting Outcomes of Bruxism Treatments

Background and Objectives: We aimed to develop a predictive model for the outcome of bruxism treatments using ultrasonography (USG)-based machine learning (ML) techniques. This study is a quantitative research study (predictive modeling study) in which different treatment methods applied to bruxism...

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Bibliographic Details
Main Authors: Kaan Orhan, Gokhan Yazici, Merve Önder, Cengiz Evli, Melek Volkan-Yazici, Mehmet Eray Kolsuz, Nilsun Bağış, Nihan Kafa, Fehmi Gönüldaş
Format: Article
Language:English
Published: MDPI AG 2024-05-01
Series:Diagnostics
Subjects:
artificial intelligence
bruxism
machine learning
ultrasound
Online Access:https://www.mdpi.com/2075-4418/14/11/1158

Internet

https://www.mdpi.com/2075-4418/14/11/1158

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