Predicting survival and neurological outcome in out-of-hospital cardiac arrest using machine learning: the SCARS model

Keyphrases

• Survival Prediction 100%
• Survival Outcomes 100%
• Machine Learning 100%
• Scar 100%
• Neurological Outcome 100%
• Out-of-hospital Cardiac Arrest 100%
• Prediction Model 40%
• Emergency Room 40%
• Cardiopulmonary Resuscitation 40%
• Final Model 40%
• Web Application 40%
• Critical Time Interval 40%
• 30-day Survival 40%
• Clinical Management 20%
• At Discharge 20%
• Comorbidity 20%
• Patient Demographics 20%
• Positive Predictive Value 20%
• Negative Predictive Value 20%
• Socioeconomic Status 20%
• Sweden 20%
• Cardiac Arrest 20%
• Translational Medicine 20%
• Strong Predictor 20%
• Machine Learning Models 20%
• Cerebral Performance Category 20%
• Training Set 20%
• Decision Threshold 20%
• Research Councils 20%
• Molecular Medicine 20%
• Data Evaluation 20%
• Machine Learning Framework 20%
• Parsimonious Models 20%
• County Council 20%
• Prehospital Intervention 20%
• Characteristic Curve 20%
• Spatio-temporal Data 20%
• Survival Performance 20%
• Hyperparameter Tuning 20%
• Interval Variable 20%
• Swedish Government 20%

Medicine and Dentistry

• Out of Hospital Cardiac Arrest 100%
• Resuscitation 40%
• Clinical Management 20%
• Socioeconomic Status 20%
• Heart Arrest 20%
• Survival Estimate 20%
• Translational Medicine 20%
• Comorbidity 20%

Biochemistry, Genetics and Molecular Biology

• Cardiac Arrest 100%
• Comorbidity 16%