pfChae/The-prediction-of-sagittal-chin-point-relapse-following-double-jaw-surgery-using-machine-learning: 'Code Availability'

Title : Predicting the Sagittal Occlusal Achievement of Compensatory Treatment for Skeletal Class III Malocclusion Using Machine Learning This repository contains the custom R code used for machine learning model development in this study. The primary implementation is based on a Random Forest classifier using the randomForest package. Additional machine learning algorithms, including XGBoost, were implemented within the same analytical framework by modifying the model definition together with the algorithm-specific data preprocessing steps (e.g., matrix conversion and numeric label encoding required by XGBoost).