A  novel machine learning model for class III surgery decision

ConclusionsRF and LR machine learning models can be used to generate accurate and reliable algorithms to successfully classify patients up to 90%. The features selected by the algorithms coincide with the clinical features that we as clinicians weigh heavily when determining a  treatment plan. This study further supports that overjet, Wits appraisal, lower incisor angulation, and Holdaway H angle can be used as strong predictors in assessing a patient’s surgical needs.
Source: Journal of Orofacial Orthopedics/Fortschritte der Kieferorthopadie - Category: ENT & OMF Source Type: research