Machine Learning for the Diagnosis of Orthodontic Extractions: A Computational Analysis Using Ensemble Learning

Machine Learning for the Diagnosis of Orthodontic Extractions: A Computational Analysis Using Ensemble Learning

Extraction of teeth is an important treatment decision in orthodontic practice. An expert system that is able to arrive at suitable treatment decisions can be valuable to clinicians for verifying treatment plans, minimizing human error, training orthodontists, and improving reliability. In this work...

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Bibliographic Details
Main Authors:	Yasir Suhail, Madhur Upadhyay, Aditya Chhibber, Kshitiz
Format:	Article
Language:	English
Published:	MDPI AG 2020-06-01
Series:	Bioengineering
Subjects:	orthodontics neural network machine learning random forests ensemble methods
Online Access:	https://www.mdpi.com/2306-5354/7/2/55

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