Machine Learning-Based Prediction of Six-Minute Walk Distance in Children with Obesity
Highlights What are the main findings? Explainable machine learning model, especially XGBoost, outperformed the conventional linear regression in predicting six-minute walk distance (6MWD), as it can better model complex and non-linear relationships between anthropometric parameters in children with obesity. Age is the...