Machine learning-based prediction of 1-year mortality for acute coronary syndrome^✰

Keyphrases

• Acute Coronary Syndrome 100%
• 1-year Mortality 100%
• Machine Learning Prediction 100%
• Cox Proportional Hazards Model 60%
• Model Performance 60%
• Brier Score 60%
• Harrell's C-index 60%
• Inverse Probability of Censoring Weighting 60%
• Random Survival Forest 60%
• Israeli 40%
• Long-term Mortality 40%
• Survival Prediction 40%
• Model Selection 40%
• Cox Proportional Hazards 40%
• Myocardial Ischemia 40%
• Post-acute Coronary Syndrome 40%
• National Audit Project 40%
• Performance Prediction 20%
• Learning Data 20%
• Binary Regression 20%
• Survey Data 20%
• External Validation 20%
• Machine Learning Models 20%
• Survival Model 20%
• Risk Stratification 20%
• Risk Assessment 20%
• Validation Set 20%
• Statistical Methods 20%
• High Performance 20%
• Deep Learning 20%
• Survival Analysis 20%
• Time-to-event 20%
• Supervised Learning 20%
• Machine Learning Based 20%
• Classification via Regression 20%
• Validation Data 20%
• Classification Approach 20%
• Risk Score 20%
• Prospective Evaluation 20%
• C-index 20%
• International Guidelines 20%
• Project Data 20%
• Tailored Therapy 20%
• Clinical Risk Assessment 20%
• DeepSurv 20%
• DeepSurv Model 20%
• Random Survival Forest Model 20%

Biochemistry, Genetics and Molecular Biology

• Survival Prediction 100%