Multi-center validation of machine learning model for preoperative prediction of postoperative mortality

Medicine & Life Sciences

• Seoul 100%
• Machine Learning 88%
• ROC Curve 66%
• University Hospitals 60%
• Artificial Intelligence 51%
• Shared Decision Making 48%
• Resource Allocation 46%
• Postoperative Care 45%
• Prothrombin Time 43%
• Mortality 39%
• Albumins 33%
• Area Under Curve 31%
• Patient Care 30%
• Data Analysis 29%
• Light 27%
• Logistic Models 25%

Engineering & Materials Science

• Machine learning 56%
• Surgery 22%
• Logistic regression 12%
• Random forests 11%
• Deep neural networks 10%
• Artificial intelligence 9%
• Decision making 8%
• Classifiers 7%