Application of Machine Learning Algorithms to Predict Postoperative Success in Metabolic Bariatric Surgery

Machine learning models, including Gaussian Naive Bayes, Complement Naive Bayes, K-nearest neighbor, Decision Tree, and oversampling techniques, can effectively predict the success of metabolic bariatric surgery based on a comprehensive set of psychometric, socioeconomic, and analytical variables.