Article

Clustering and Machine Learning Models of Skeletal Class I and II Parameters of Arab Orthodontic Patients

2024-12-24

Abstract excerpt

<h4>Background: </h4> The main aim of this study is to introduce new classification methods for skeletal class I occlusion (SCIO) and skeletal class II malocclusion (SCIIMO) among Arab patients in Israel. We conducted hierarchical clustering to detect critical trends within malocclusion classes and applied machine-learning (ML) models to predict classification outcomes. <h4>Methods:</h4> This study is based on ass...

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Literature Corpus work: 968704ae-41c6-50c9-a61f-b035481f51f4
DOI: 10.20944/preprints202412.2108.v1

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