Using the Super Learner algorithm to predict risk of 30-day readmission after bariatric surgery in the United States

Keyphrases

• 30-day Readmission 100%
• 5-fold Cross Validation 20%
• Accreditation 20%
• Adverse Events 20%
• Area under the Receiver Operating Characteristic Curve 40%
• Background Risk 20%
• Bariatric Surgery 100%
• Clinical High Risk 20%
• Confidence Interval 100%
• Integrated Discrimination Improvement 40%
• Laparoscopic Roux-en-Y Gastric Bypass (LRYGB) 20%
• Laparoscopic Sleeve Gastrectomy 20%
• Logistic Regression 60%
• Machine Learning 20%
• Machine Learning Models 20%
• Metabolic Surgery 20%
• Net Reclassification Index 40%
• Prediction Model 20%
• Prognostic Study 20%
• Quality Improvement Program 20%
• Readmission 20%
• Risk Prediction 20%
• Risk Prediction Model 40%
• Super Learner 100%
• United States 100%

Medicine and Dentistry

• Adverse Event 20%
• Bariatric Surgery 100%
• Cross-Validation 20%
• Gastric Bypass 20%
• Gastric Bypass Surgery 20%
• Laparoscopic Sleeve Gastrectomy 20%
• Logistic Regression Analysis 60%
• Quality Improvement 20%