Association of STS database variables with repair durability in ischemic mitral regurgitation using machine learning

Keyphrases

• Ischemic Mitral Regurgitation 100%
• Machine Learning 100%
• Society of Thoracic Surgeons Database 100%
• Repair Durability 100%
• Area under the Curve 33%
• Clinical Variables 33%
• Class Label 33%
• Clinical Outcomes 16%
• Logistic Regression 16%
• Support Vector Machine 16%
• Surgical Revascularization 16%
• Echocardiography 16%
• Receiver Operating Characteristic Curve 16%
• Outcome Analysis 16%
• Single Institution Study 16%
• Mitral Valve Repair 16%
• Surgical Therapy 16%
• Deep Neural Network 16%
• Final Model 16%
• Supervised Machine Learning 16%
• 1-year Outcome 16%
• Machine Learning Models 16%
• Machine Learning Modeling 16%
• Binary Outcome 16%
• Deep Learning Algorithm 16%
• Machine Learning Analysis 16%
• Variable Combination 16%
• Machine Learning Learning 16%
• Deep Machine Learning 16%
• Regression Neural Network 16%
• Non-recurrence 16%
• Outcome Classification 16%

Medicine and Dentistry

• Surgeon 100%
• Ischemic Mitral Valve Regurgitation 100%
• Area under the Curve 33%
• Revascularization 16%
• Echocardiography 16%
• Logistic Regression Analysis 16%
• Recurrent Disease 16%
• Mitral Valve Repair 16%
• Surgery 16%

Neuroscience

• Mitral Regurgitation 100%
• Support Vector Machine 16%
• Deep Neural Network 16%