Utilization of Machine Learning Methods for Predicting Orthodontic Treatment Length

• Main Authors: Mohammed H. Elnagar (Author), Allen Y. Pan (Author), Aryo Handono (Author), Flavio Sanchez (Author), Sameh Talaat (Author), Christoph Bourauel (Author), Ahmed Kaboudan (Author), Budi Kusnoto (Author)
• Format: Book
• Published: MDPI AG, 2022-09-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Treatment duration is one of the most important factors that patients consider when deciding whether to undergo orthodontic treatment or not. This study aimed to build and compare machine learning (ML) models for the prediction of orthodontic treatment length and to identify factors affecting the du...