Kyunghee Institute

Analyzed 9,856 patients from 5 Korean centers (2018-2023) for abdominal liposuction, using 15 variables including age, sex, BMI, and surgical details. Evaluated with MAE, RMSE, and R-squared metrics, employing ML algorithms like random forest, SVR, XGBoost, decision tree, and AdaBoost. Optimized via grid search for R-squared, and analyzed feature importance to refine predictive models.