Machine learning-based risk profile classification of patients undergoing elective heart valve surgery

Keyphrases

• 30-day Mortality 66%
• Advanced Machine Learning 33%
• Anterograde 33%
• Aortic Surgery 33%
• Artificial Neural Network 33%
• Cerebral Perfusion 33%
• Counseling 33%
• Demographic Parameters 33%
• Elective Cardiac Surgery 33%
• European System for Cardiac Operative Risk Evaluation 66%
• Evaluation Use 33%
• Exclusion Criteria 33%
• Grown-up Congenital Heart Disease 33%
• Heart Valve Surgery 100%
• High-risk Interventions 33%
• Highly Accurate 33%
• Individualized Prediction 33%
• Logistic Regression 33%
• Machine Learning Based 100%
• Machine Learning Techniques 100%
• Monocentric 33%
• Out-of-bag 33%
• Outcome Prediction 33%
• Patient Risk 33%
• Possible Complications 33%
• Preoperative Parameters 33%
• Profile Classification 100%
• Random Forest 33%
• Random Forest Regression 33%
• Receiver Operating Characteristic Curve 33%
• Reoperation 33%
• Risk Profile 100%
• Risk Score 33%
• Same Patient 33%
• Score-based 33%
• Support Vector Machine 33%
• Surgery Treatment 33%
• Training Model 33%
• Valve Surgery 33%

Medicine and Dentistry

• Anticipation 33%
• Aortic Arch Surgery 33%
• Brain Perfusion 33%
• Counseling 33%
• EuroSCORE 66%
• Heart Surgery 33%
• Heart Valve Surgery 100%
• Logistic Regression Analysis 33%
• Persistent Truncus Arteriosus 33%
• Reoperation 33%
• Retrospective Study 33%