Development of a Machine Learning Model to Predict Outcomes and Cost after Cardiac Surgery

Keyphrases

• Outcome Prediction 100%
• Cardiac Surgery 100%
• Machine Learning Algorithms 100%
• Machine Learning Models 100%
• Major Morbidity 83%
• High Cost 33%
• Postoperative Mortality 33%
• Society of Thoracic Surgeons 33%
• Medicare 16%
• Risk Prediction 16%
• Liver Dysfunction 16%
• Algorithm Performance 16%
• Clinical Decision-making 16%
• Coronary Artery Bypass Grafting 16%
• Risk Score 16%
• Logistic Regression 16%
• Ventricular Function 16%
• Postoperative Outcomes 16%
• Registry Data 16%
• Hospital Costs 16%
• Valve Surgery 16%
• Preoperative Creatinine 16%
• Complete Blood Count 16%
• Risk Model 16%
• Morbidity Costs 16%
• Gradient Boosting Decision Tree 16%
• Aortic Surgery 16%
• F1 Score 16%
• Extreme Gradient Boosting 16%
• Boosting Learning 16%
• Area Under the Precision-Recall Curve 16%
• Extreme Gradient Boosting Machine 16%

Medicine and Dentistry

• Health Care Cost 100%
• Heart Surgery 100%
• Surgical Mortality 40%
• Surgeon 20%
• Medicare 20%
• Coronary Artery Bypass Graft 20%
• Clinical Decision Making 20%
• Creatinine 20%
• Logistic Regression Analysis 20%
• Heart Ventricle Function 20%
• Liver Dysfunction 20%
• Aortic Surgery 20%
• Society of Thoracic Surgeons Score 20%